Senior Engineer jobs at FST Technical Services

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrows health today, we want to hear from you. As a Senior Identity and Access Management (IAM) Engineer, you will be a part of McKesson's Identity and Access Management team. You will contribute during phases of design, configuration, deployments, and operations in areas of Single Sign-On (SSO), multi-factor authentication (MFA) and IAM orchestrations. This position will need hands-on engineering experience in a fast-paced environment, working with Business and Internal customers to deliver complex authentication solutions. Expectations include strong debugging and issue triaging skills to mitigate risks, resolve issues and deliver modern authentication solutions. This position will also support the engineering, building, and scaling of our authentication infrastructure to deliver authentication solutions, establish and improve IDP resiliency across platforms. Essential Responsibilities and Functions: Deliver modern authentication solutions for B2B, B2C and B2E customers leveraging tools such as Okta, Microsoft Entra ID. Collaborate with business and technical partners to integrate systems and provide IDP resiliency. Strong experience in Okta versions such as Okta Classic and Okta Identity Engine (OIE) or equivalent technologies. Good experience in the development of authentication workflows. Strong experience in configuring and enabling Single-Sign On (SSO) and Multi-factor authentication (MFA) for internal or external facing application systems. Lead the collaboration and discussion with business, application, and system stakeholders on meeting authentication policies and standards. Lead design and code review and perform quality inspections to ensure the consistent application of good engineering practices in adherence with McKesson standards, processes, and best practices. Perform Proofs of Concepts (PoCs) to assess and identify the technologies per the needs of the organization. Qualifications: Minimum Requirements: Degree or equivalent and typically requires 7+ years of relevant experience. Critical Experience/Skills: Industry experience in the field of Identity and Access Management. Hands-on experience developing/configuring authentication solutions using Okta or other industry authentication solutions (E.G; Auth0, Azure/Entra ID, PingFederate etc.). Hands-on experience establishing and improving IAM resiliency solutions. Integration experience with SSO leveraging industry protocols such as SAML, OpenID Connect, OAuth and WS-FED. Experience integrating and federating different IDM technologies across multiple domains. Understanding of enterprise identity infrastructure and core security concerns of cloud and on-premises environments. Strong analytical and problem-solving skills, pride in ownership and ability to troubleshoot complex IAM issues. Excellent communication and interpersonal skills, with the ability to collaborate effectively with both technical and non-technical stakeholders. Preferred Experience/Skills: Programming languages (PowerShell, Python, Terraform, Java, JavaScript, .NET etc.). Integrating and federating different IDM technologies. Certifications such as CISSP, CISM, Okta, or Azure are a plus. 4-year degree in IT or related field or equivalent experience. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here. Our Base Pay Range for this position $121,300 - $202,100 McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKessons full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrows health today, we want to hear from you. The Senior IAM Engineer will provide subject matter expertise and support the analysis, design, and implementation for hybrid on-prem and cloud Active Directory environments and Azure Active Directory/Entra ID tenants. This role includes engaging and collaborating with business and technical partners to integrate systems and applications with centralized authentication such as Active Directory or Azure Active Directory/Entra ID. Responsibilities: Provide deep subject matter expertise and support the analysis, design, and implementation for hybrid on-prem and cloud Active Directory environments and Azure Active Directory/Entra ID tenants. Engage and collaborate with business and technical partners to integrate systems and applications with centralized authentication such as Active Directory or Azure Active Directory/Entra ID. Provide deep subject matter knowledge and expertise on Active Directory, Azure Active Directory/Entra ID, and Okta Active Directory synchronization. Support new product comparison, vetting, and selection process to ensure technology is relevant and meets business requirements. Drive Active Directory and Entra ID disaster recovery drills, process improvements, and documentation efforts. Continually enhance authentication platforms, ensuring systems are protected from new and evolving Cyber threats and systems are operationally stable. Collaborate closely with global cross-functional teams to ensure the stability, scalability, and security of the Active Directory and Azure Active Directory/Entra ID environments and Okta. Participate in discussions on all aspects of identity and access management. Respond to and resolve complex, high-severity incidents. Lead regular reviews of deployed infrastructure, develop detailed architecture, and create and update new technical documentation and Standard Operating Procedures (SOP). Analyze the current authentication services platforms to identify both technical and operational opportunities for enhancements and develop continuous improvement action plans. Lead regular assessment of systems and process hygiene and identify and implement automation. Actively research and implement new innovations in IT security as well as IAM technologies and services, striving to ensure McKesson continues to deliver best practices and standards. Provide on-call support as needed for operational continuity of Identity platforms. (1 week rotation for ON-call) Minimum Requirements: Degree or equivalent and typically requires 7+ years of relevant experience. Critical Experience/Skills: Proven experience as an Active Directory/Entra ID Engineer or similar role with a minimum of 7 years of experience. Proven ability to effectively prioritize and execute tasks with competing priorities; strong influencing skills to work with various service owners. Demonstrated experience effectively leading and managing collaborative, service management solutions across disparate functional teams. Preferred Experience/Skills: Advanced understanding of Active Directory, Azure Active Directory/Entra ID, Lightweight Directory Access Protocol, Active Directory Federation Services, and other centralized identity stores. Advanced understanding of Microsoft Azure and familiarity with IAM permissions on Management Groups, subscriptions, and resources. Advanced knowledge of Azure Active Directory/Entra ID capabilities such as Conditional Access Policies, Privileged Identity Manager, and Application Registrations. Advanced understanding of Active Directory attributes, LDAP Queries, PowerShell Scripting, Active Directory Federation Services (ADFS), Group Policy Object (GPO) analysis, configuration, and item-level targeting, active directory replication, Active Directory backup and restore, as well as certificate installation. Advanced understanding of implementing security on Active Directory and Entra ID and hardening those platforms. Advanced understanding of Active Directory and Entra ID backup and restore processes and experience of performing Disaster Recovery exercises. Advanced understanding of Windows Server operating systems and Active Directory/Azure Active Directory/Entra ID services. Advanced understanding of PowerShell scripting with proven experience implementing automation, including experience utilizing APIs such as Microsoft Graph. Advanced understanding of Single-Sign On and authentication protocols such as SAML & OIDC. Excellent problem-solving skills and ability to work well under pressure. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here. Our Base Pay Range for this position $121,300 - $202,100 McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKessons full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. Join us at McKesson!

The Senior IT Engineer 1(OSS Platform) is responsible for operations and maintenance of the local Open Source technology stack to support manufacturing operations from an IT/OT perspective in a global organization. This position acts as a single point of contact and escalation for the locally used systems and ensures the most appropriate level of service is supplied to meet future business needs. This role will initially be part of the local IT project team responsible for implementing all infrastructure and applications necessary to bring FDB's new site in Holly Springs, NC, online. This role functions as a local extension of the Global IT team reporting into the Sr. Director - IT. This role ensures local implementation and 24/7 support in alignment with global support processes. Company Overview FUJIFILM Biotechnologies is building the future of bioproduction in Holly Springs, North Carolina. By end of 2025, we'll open North America's largest end-to-end CDMO biopharmaceutical manufacturing facility, offering drug substance production, fill-finish, and packaging under one roof. We're looking for passionate, mission-driven people to help us realize this exciting vision and deliver the next vaccine, cure, or therapy. We offer a dynamic work environment and we're proud to cultivate a culture that will fuel your purpose, energy, and drive-what we call Genki. Ready to shape the future of medicine? Let's transform healthcare together! Holly Springs, North Carolina, combines small-town warmth with proximity to Raleigh's thriving tech scene, making it the perfect blend of community and opportunity. Fujifilm is globally headquartered in Tokyo with over 70,000 employees across four key business segments of healthcare, electronics, business innovation, and imaging. We are guided and united by our Group Purpose of “giving our world more smiles.” Visit: *************************************************** Job Description What You'll Do Monitors, manages, and troubleshoots end user computing systems across FUJIFILM Biotechnologies Assists in the establishment and alignment of roadmaps across IT & OT Implements and supports tools and services bridging the gap between IT & OT. Builds a modern, flexible, and mature service delivery model. Champions new technologies, like open source and cloud native activities, and act as an Open Source evangelist Implements and supports a fit-for-purpose containerization platform. Participates in industry forums to stay-abreast of current trends and promote our way of working and accomplishments. Provides level 2 support, including resolving complex technical issues within the OSS area of operations. Provides critical technical expertise. Creates and deploys of application packages for use on end point devices Assists with other projects involving the infrastructure and application systems teams. Analyzes inquiries and participate in on-call rotation for critical incident management. Determines appropriate technical area or vendor to resolve problems. Participates in project execution and quality assurance as needed. Ensures and drives service delivery of the IT ServiceDesk Other duties, as assigned Knowledge and Skills Excellent troubleshooting skills to identify and correct problems Excellent oral and written communications skills and fluency in English Strong analytical mind, eye for detail, and problem solving skills Drive for automation and simplification of tasks and processes Collaborative attitude with the willingness to work with global peers and cross-functional teams toward company and project team goals High sense of responsibility and ownership. Self-driven, flexible, has a positive attitude. High service and quality mindset Basic Requirement Bachelor's degree in Computer Science, Computer Engineering, Business Administration or equivalent work experience with 5+ years of experience with open source technologies OR Master's degree in Computer Science, Computer Engineering, Business Administration with 3 years of experience Experience implementing Enterprise Linux/*NIX hosting capabilities Knowledge of OpenStack tools, such as Grafana, Prometheus, Nagios, Zabbix, or similar. Foundational understanding of security Open Source technologies Experience with manufacturing IT/OT Preferred Requirements Experience in Life Sciences or GMP manufacturing environment FDBN is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identify or any other protected class. If an accommodation to the application process is needed, please email FDBN_**************** . To all agencies: Please, no phone calls or emails to any employee of FUJIFILM about this requisition. All resumes submitted by search firms/employment agencies to any employee at FUJIFILM via-email, the internet or in any form and/or method will be deemed the sole property of FUJIFILM, unless such search firms/employment agencies were engaged by FUJIFILM for this requisition and a vali agreement with FUJIFILM is in place. In the event a candidate who was submitted outside of the FUJIFILM agency engagement process is hired, no fee or payment of any kind will be paid.

We're seeking a Senior Software Engineer who thrives at the intersection of application development and DevOps. You'll design, build, and deploy scalable SaaS solutions for Medicare and Medicaid health plans, while also contributing to the automation, reliability, and security of our development lifecycle. This role is central to delivering high-quality features for our Compliance, Appeals & Grievances, and Universe Scrubber products. Key Responsibilities: · Application Development Design and implement backend services, APIs, and user interfaces using modern frameworks and cloud-native architecture. Ensure performance, scalability, and maintainability across the stack. · DevOps Integration Collaborate with infrastructure and DevOps teams to build and maintain CI/CD pipelines, automate deployments, and optimize environment provisioning across development, QA, and production. · Cloud-Native Engineering Develop and deploy applications on AWS, leveraging services like Lambda, ECS, RDS, and S3. Ensure solutions are secure, resilient, and compliant with healthcare regulations. · Quality & Compliance Write clean, testable code and participate in peer reviews, unit testing, and performance tuning. Ensure all software adheres to CMS, HIPAA, and internal compliance standards. · AI-Enabled Features Support integration of AI/ML capabilities into product workflows, such as intelligent routing of grievances or automated compliance checks. · Mentorship & Collaboration Provide technical guidance to junior engineers and collaborate with cross-functional teams to translate healthcare business needs into technical solutions. Qualifications: Bachelor's degree in computer science or related field 5+ years of experience in software development, with exposure to DevOps practices Proficiency in languages such as Java, Python, or C#, and experience with cloud platforms (preferably AWS) Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions), infrastructure-as-code (e.g., Terraform, Ansible), and containerization (e.g., Docker, Kubernetes) Understanding of healthcare data formats (EDI, HL7, FHIR) and regulatory frameworks

Job Title: Senior Full-Stack Golang Developer Company: Aarista/ Altea Healthcare IT Job Type: Full-Time Compensation Range: $110,000-$140,000 USD depending on experience Our mission is to improve outcomes for Chronic Care patients who are dependent on multiple daily medications. Our proprietary and vertically integrated EMR technology solutions enable providers to enhance medication adherence through improved access, owned physician network, information We are looking for a Senior Full-Stack Developer and Lead. This person will play a key role on the core development team that is working on supporting and building our next generation suite of products, Revenue Cycle Management system. As a member of our core development team, this person will contribute significantly to designing and implementing various product features. In addition to bringing their experience building using the Microsoft stack, this role will also require learning and implementing solutions using other technologies on an as needed basis. We are an exciting healthcare startup company, so we need someone that is agile since changes are expected. Your Role Support, design and develop RCM software covering the full stack Golang, React (TypeScript), Mongo DB, Azure data bricks and azure data lake Brainstorm with your team to conceptualize and build new features. Experience with the Azure-based infrastructure and help us to leverage cloud technologies to ensure we can scale in line with customer adoption. Partner with business analysts and other developers in order to fully understand product requirements and implement solutions which meet these requirements. Provide technical leadership including architecture design, coding, code review, practices and skills development. You You thrive in a team environment but can also work independently. You are passionate about using your technical knowledge and skills to solve real business problems and are motivated by understanding the value that your work adds. A self-starter that can manage their own workload and an ever-growing task list. A team player and leader. Problem solving of potential roadblocks which could potentially impact patient care, strategic, and technical goals of the business. Very proficient with server-side languages Golang Proficiency with front-end React, Typescript, Javascript Knowledge with Azure data bricks and data lake Workding knowledge of relational databases such as SQL Server, Azure SQL You are passionate about creating innovating and exciting new technology and want to provide end users with the best possible experience. Have experience with Software development Lifecycle (SDLC) including system requirements collection, architecture, design, development, testing, maintenance and enhancement across a variety of technologies. Skills Required Experience: Golang React Front End - Typescript and Javascript Mongo DB Azure data Azure data lake Mongo DB Solid web service: RESTful and SOAP Nice to have: MS SQL, Azure SQL (SQL Server) Data modeling, UML and Design Patterns Azure experience Job Types: Full-time Pay: $110,000-$140,000 USD depending on experience Schedule: Full Time

We are looking for an experienced Frontend Developer (ReactJS) to join our Digital Engineering Division. Who are we? For the past 20 years, we have powered many Digital Experiences for the Fortune 100. Since 1999, we have grown from a few people to more than 6000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check ***************************** What are we looking for? Develop, test, and deploy responsive web applications using React.js and modern JavaScript frameworks. Collaborate with UI/UX designers and backend developers to deliver seamless user experiences. Optimize applications for performance, scalability, and maintainability. Build reusable components and front-end libraries for future use. Integrate RESTful APIs and work closely with backend teams to ensure efficient data flow. Debug, troubleshoot, and resolve production issues. Stay updated with emerging technologies and industry trends to improve development practices

A leading innovator in advanced laser technology is seeking a Software Engineer to join their growing Rochester engineering hub. This is a rare opportunity to work hands-on with cutting-edge scientific systems while building software that directly impacts real-world research, industrial applications, and next-generation engineered products. In this role, you'll collaborate closely with engineers, scientists, operations teams and business stakeholders to design, develop, and maintain a wide range of internal and product-level software tools. Your work will span intuitive user interfaces, automation solutions, data and KPI dashboards, and software that interacts with highly precise hardware systems. What you'll work on: • Building Python-based software for internal tools and product control systems • Creating user-facing interfaces that make complex technology simple to operate • Interfacing software with hardware, instruments, and electronic components • Designing dashboards and analytics to support operational decision-making • Contributing to automation, motion control, and system-integration projects • Maintaining high code standards through documentation and version control • Partnering with multi-disciplinary teams to define scope, requirements, and delivery timelines What makes this opportunity exciting: • Work in a highly respected, innovation-driven environment shaping the future of photonics • Engage with a diverse mix of engineering, R&D, and technology functions daily • See your work directly influence scientific and commercial applications • Join a collaborative team that values curiosity, creativity, and continuous learning • Enjoy the benefits of an on-site role within one of Rochester's strongest high-tech communities Ideal background: • Solid software development experience with strong Python skills • Experience building customer-facing or GUI-based software • Familiarity with hardware or instrument interfacing, embedded systems, or automation is a plus • Exposure to analytics, dashboards, or BI tools is helpful • Bachelor's degree in a technical field; advanced degree welcome but not required Compensation: Competitive salary up to $95,000, based on experience.

At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care. Job Description Primary Function of Position Lead Supplier Engineer on a design project for a commodity. Responsible to influence the design architecture, component specifications, and component manufacturing process based on supplier capabilities. Responsible for DFM, cost modeling, commodity knowledge, support supplier selection and BOM cost targets. Responsible for component qualification and launch and ensure suppliers meet quality and cost standards. Post launch, responsible to drive suppliers to continuously improve business and manufacturing processes. Ideal candidate will be experienced in new product launches and supplier collaboration. Strong skills in supplier selection and development. Essential Job Duties * Partner with design engineering to understand the design intent and how it translates to component design. Ensure critical design outputs are clearly documented and measurable on the component specification. * Provide technical expertise in electrical and electronic components to support supplier development and troubleshooting. Select the right process and supplier for the part, considering long-term fit and total cost of ownership. * Collaborate with Quality Engineering and Design Engineering to support dFMEA reviews and confirm the feasibility of various design risk mitigations. * Work with design engineering to develop test methods and acceptance criteria for the supplied part or sub-assembly. Document functional test methods used to verify the product and translate those tests to component level testing. * Create strategies to effectively optimize the supply base to reduce the risk of complex sub-tiers suppliers and long lead times. Determine risk mitigations for high severity parts, sole suppliers or proprietary materials. * Complete Design Transfer and component qualification: Supplier pFMEA, Special Process Validations, FAI, correlation and Cpk by leading, training and mentoring suppliers through the process. * Work with suppliers and ISI engineering for the new product introduction to: * Create product supplier landscapes to determine launch readiness and report to management. * Develop supplier ramp readiness plans by judging business risk based on forecast, supplier capacity, quality performance, and process capability. * DFM by engaging suppliers early in the development cycle to provide feedback on manufacturability improvements in the designs prior to production. * Influence Engineering team to select the component technology that will meet requirements for short- and long-term needs from prototype to production, but also meet business objectives for cost and utilizing preferred suppliers. * Review, analyze and close customer complaints, manufacturing variance requests, and first article inspections by judging risk analyses and justifications, determining corrective and preventive actions at suppliers, looks for opportunities with suppliers to eliminate recurrence. * Drive corrective actions for supplier process by driving suppliers to true root cause analysis and corrective and Preventive actions. * Develop and influence using metrics for supplier part cost, delivery, quality, capacity and capability by creating metrics to measure real improvement and judge required intervention or change at the supplier or in a commodity. Qualifications Required Skills and Experience * Proven ability to work alongside design engineer and assess supplier capability during the design iteration process * Demonstrable knowledge in evaluating and challenging supplier technical, quality, and business capabilities * Demonstrable knowledge of a wide range of manufacturing processes including understanding of key input variables for quality, cost and capacity (specialization can be in PCBA, electronics, Cable harness and/or contract manufacturing) * A proven history of implementing Lean/6 Sigma/SPC Programs at suppliers * Excellent Project Management skills * Excellent written and verbal communication skills including presentations to executive level management * Excellent Interpersonal skills and team building skills * Proficient in pFMEA, process validation, root cause investigation, inspection, and test techniques * Excellent analytical and problem-solving skills along with good judgment * Excellent knowledge of 21 CFR part 820 and ISO 13485 (experience in auditing suppliers to these standards) * Significant computer experience using Windows, Word, Excel, Access and ERP Information Systems, preferably SAP * Ability to read and interpret detailed mechanical drawings and communicate technical information Required Education and Training * Minimum 8 years related experience with a BS Electrical or Electronics Engineering degree or 6 years' experience with an MS in Engineering, or related field. Working Conditions * None Preferred Skills and Experience * Experience with GD&T, tolerance stack and Allegro tools is a plus. * Familiarity with key certifications such as RoHS , CE Marking, UL, and ISO standards. Additional Information Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role. Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. Mandatory Notices We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee. We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer by using AI to transform continuous physiological data into clear insights and actionable recommendations. Our AI platform is central to this mission, turning raw physiological signals into trusted, personalized guidance that members can act on every day. WHOOP is hiring a Senior AI/ML Engineer to help scale the intelligence layer behind WHOOP's AI-powered experiences, including WHOOP Coach, AI-powered Support, and new intelligent features across the product. In this role, you will own core components of the AI Platform that power our internal AI Studio: evaluation pipelines, fine-tuning workflows, LLM observability, and experimentation tooling. You will partner closely with product and data science to translate real member needs into reliable, impactful AI systems that improve continuously based on real-world usage. RESPONSIBILITIES: * Design, build, and operate production AI systems and scaffolding around language models that power conversational, predictive, and generative capabilities across WHOOP products. * Lead end-to-end AI system initiatives spanning problem definition, data flows, dataset design, evaluation harnesses, deployment, and iteration in close partnership with data science and product. * Build and maintain pipelines for collecting, curating, and reshaping messy, multi-source data into high-quality, well-structured training and evaluation datasets for language model-based systems. * Operationalize fine-tuning and evaluation workflows for large language models behind member-facing features such as WHOOP Coach and AI Support, including defining datasets, labels, and taxonomies that reflect real member needs. * Develop tooling and frameworks that make experimentation, offline/online evaluation, and model deployment faster, safer, and more repeatable, including robust observability for AI features in production. * Build and maintain feedback loops that connect real member interactions, offline evaluations, and training data updates so that models improve continuously based on real-world behavior. * Mentor other engineers and data scientists, share best practices in applied AI/ML, and help elevate the overall technical bar of the AI Platform team. QUALIFICATIONS: * 3+ years of experience in applied machine learning, AI engineering, or ML-focused software engineering roles, including significant work in production environments. * Hands-on experience building with modern language models (open-weight or API-based), including prompt design, fine-tuning, and rigorous evaluation. * Solid working understanding of ML fundamentals (dataset construction, feature engineering, training workflows, evaluation metrics, experiment design) sufficient to make good engineering tradeoffs and partner effectively with data scientists. * Familiarity with modern LLM training and alignment techniques such as supervised fine-tuning (SFT), direct preference optimization (DPO), and reinforcement learning (RL), and how they influence data requirements, evaluation strategies, and system design in production. * Proven track record building, shipping, and operating ML-powered systems end to end, from data pipelines (batch and/or streaming) that transform large datasets into usable training and evaluation sets to production deployments with inference optimization, observability, and lifecycle management. * Strong proficiency in data manipulation and analysis, including working with messy, multi-source, and semi-structured data and translating product questions into well-defined datasets, labels, and evaluation splits. * Familiarity with best practices for secure, privacy-aware AI and working with sensitive data. * Excellent communication and collaboration skills, with the ability to influence across teams and drive alignment on technical direction. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework. Also check out our AI studio blog here. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success. The U.S. base salary range for this full-time position is $150,000 - $210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements. Learn more about WHOOP.

Job DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer by using AI to transform continuous physiological data into clear insights and actionable recommendations. Our AI platform is central to this mission, turning raw physiological signals into trusted, personalized guidance that members can act on every day. WHOOP is hiring a Senior AI/ML Engineer to help scale the intelligence layer behind WHOOP's AI-powered experiences, including WHOOP Coach, AI-powered Support, and new intelligent features across the product. In this role, you will own core components of the AI Platform that power our internal AI Studio: evaluation pipelines, fine-tuning workflows, LLM observability, and experimentation tooling. You will partner closely with product and data science to translate real member needs into reliable, impactful AI systems that improve continuously based on real-world usage.RESPONSIBILITIES: Design, build, and operate production AI systems and scaffolding around language models that power conversational, predictive, and generative capabilities across WHOOP products. Lead end-to-end AI system initiatives spanning problem definition, data flows, dataset design, evaluation harnesses, deployment, and iteration in close partnership with data science and product. Build and maintain pipelines for collecting, curating, and reshaping messy, multi-source data into high-quality, well-structured training and evaluation datasets for language model-based systems. Operationalize fine-tuning and evaluation workflows for large language models behind member-facing features such as WHOOP Coach and AI Support, including defining datasets, labels, and taxonomies that reflect real member needs. Develop tooling and frameworks that make experimentation, offline/online evaluation, and model deployment faster, safer, and more repeatable, including robust observability for AI features in production. Build and maintain feedback loops that connect real member interactions, offline evaluations, and training data updates so that models improve continuously based on real-world behavior. Mentor other engineers and data scientists, share best practices in applied AI/ML, and help elevate the overall technical bar of the AI Platform team. QUALIFICATIONS: 3+ years of experience in applied machine learning, AI engineering, or ML-focused software engineering roles, including significant work in production environments. Hands-on experience building with modern language models (open-weight or API-based), including prompt design, fine-tuning, and rigorous evaluation. Solid working understanding of ML fundamentals (dataset construction, feature engineering, training workflows, evaluation metrics, experiment design) sufficient to make good engineering tradeoffs and partner effectively with data scientists. Familiarity with modern LLM training and alignment techniques such as supervised fine-tuning (SFT), direct preference optimization (DPO), and reinforcement learning (RL), and how they influence data requirements, evaluation strategies, and system design in production. Proven track record building, shipping, and operating ML-powered systems end to end, from data pipelines (batch and/or streaming) that transform large datasets into usable training and evaluation sets to production deployments with inference optimization, observability, and lifecycle management. Strong proficiency in data manipulation and analysis, including working with messy, multi-source, and semi-structured data and translating product questions into well-defined datasets, labels, and evaluation splits. Familiarity with best practices for secure, privacy-aware AI and working with sensitive data. Excellent communication and collaboration skills, with the ability to influence across teams and drive alignment on technical direction. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework. Also check out our AI studio blog here. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success. The U.S. base salary range for this full-time position is $150,000 - $210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements. Learn more about WHOOP .

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. We are seeking a highly skilled Senior ML Platform Engineer to join our ML Platform team. This role is pivotal in scaling our ML infrastructure and enabling the efficient deployment and monitoring of machine learning models across cloud environments. As a senior contributor, you will act as a force multiplier-building robust abstractions, platforms, and tooling to supercharge our Data Science and AI teams. You will design and implement scalable systems that operationalize machine learning at WHOOP with speed, reliability, and precision. Your work will directly support our use of AI to enhance team efficiency, automate decision-making, and personalize member experiences.RESPONSIBILITIES: Architect, build, own, and operate scalable ML infrastructure in cloud environments (e.g., AWS), optimizing for speed, observability, cost, and reproducibility. Create, support, and maintain core MLOps infrastructure (e.g., MLflow, feature store, experiment tracking, model registry), ensuring reliability, scalability, and long-term sustainability. Develop, evolve, and operate MLOps platforms and frameworks that standardize model deployment, versioning, drift detection, and lifecycle management at scale. Implement and continuously maintain end-to-end CI/CD pipelines for ML models using orchestration tools (e.g., Prefect, Airflow, Argo Workflows), ensuring robust testing, reproducibility, and traceability. Partner closely with Data Science, Sensor Intelligence, and Data Platform teams to operationalize and support model development, deployment, and monitoring workflows. Build, manage, and maintain both real-time and batch inference infrastructure, supporting diverse use cases from physiological analytics to personalized feedback loops for WHOOP members. Design, implement, and own automated observability tooling (e.g., for model latency, data drift, accuracy degradation), integrating metrics, logging, and alerting with existing platforms. Leverage AI-powered tools and automation to reduce operational overhead, enhance developer productivity, and accelerate model release cycles. Contribute to and maintain internal platform documentation, SDKs, and training materials, enabling self-service capabilities for model deployment and experimentation. Continuously evaluate and integrate emerging technologies and deployment strategies, influencing WHOOP's roadmap for AI-driven platform efficiency, reliability, and scale. QUALIFICATIONS: Bachelor's or Master's Degree in Computer Science, Engineering, or a related field; or equivalent practical experience. 5+ years of experience in software engineering with a focus on ML infrastructure, cloud platforms, or MLOps. Strong programming skills in Python, with experience in building distributed systems and REST/gRPC APIs. Deep knowledge of cloud-native services and infrastructure-as-code (e.g., AWS CDK, Terraform, CloudFormation). Hands-on experience with model deployment platforms such as AWS SageMaker, Vertex AI, or Kubernetes-based serving stacks. Proficiency in ML lifecycle tools (MLflow, Weights & Biases, BentoML) and containerization strategies (Docker, Kubernetes). Understanding of data engineering and ingestion pipelines, with ability to interface with data lakes, feature stores, and streaming systems. Proven ability to work cross-functionally with Data Science, Data Platform, and Software Engineering teams, influencing decisions and driving alignment. Passion for AI and automation to solve real-world problems and improve operational workflows. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success. The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements. Learn more about WHOOP.

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers people to perform at a higher level through a deeper understanding of their bodies and daily lives. We handle massive amounts of data continuously streaming up to the cloud from people improving their health and wellness to the world's greatest sports teams and athletes mandating a fault-tolerant and highly available product. The Connectivity Software Team builds the critical link between WHOOP hardware, the iOS app, and the cloud. As an iOS Software Engineer on this team, you'll design and implement the software that enables WHOOP's wearable sensors to communicate seamlessly with the mobile platform. You'll develop and optimize connectivity experiences that are robust, efficient, and invisible to the member - ensuring reliable data flow across our entire ecosystem.RESPONSIBILITIES: Design, implement, and maintain iOS application components that interface directly with WHOOP hardware over Bluetooth Low Energy (BLE), Wi-Fi, or other communication protocols. Develop background and system-level iOS services that ensure reliable device connectivity, synchronization, and data transfer. Leverage Swift and Combine to build resilient, efficient, and maintainable reactive pipelines for connectivity and data management. Collaborate closely with embedded firmware, mobile, and cloud engineers to diagnose and resolve issues across a distributed system. Drive continuous improvement of performance, power efficiency, and reliability in the WHOOP connectivity layer. Champion strong software architectural principles for testable, scalable, maintainable software on your own team and across the organization. Document new features and architecture using Jira, Confluence and preparing code using Github feature, develop, and master branches. Participate in the release process, including getting the app built, managing build variants, signing, sending and testing through Firebase, and submitting to the App store. QUALIFICATIONS: BS or MS in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience. 3+ years of professional iOS software engineering experience with a solid foundation in Swift, iOS system APIs, concurrency, and memory management. Hands-on experience with Combine and background task processing for non-UI iOS features. Demonstrated examples applying architectural and platform-based software design principals to build scalable, modular, testable software. Experience debugging and diagnosing issues across complex or distributed systems (for example: firmware, mobile, backend) is a strong plus. Excellent collaboration and communication skills with a focus on cross-functional problem solving. Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success. The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements. Learn more about WHOOP .

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer by using AI to transform continuous physiological data into clear insights and actionable recommendations. Our AI platform is central to this mission, turning raw physiological signals into trusted, personalized guidance that members can act on every day. WHOOP is hiring a Senior AI/ML Engineer to help scale the intelligence layer behind WHOOP's AI-powered experiences, including WHOOP Coach, AI-powered Support, and new intelligent features across the product. In this role, you will own core components of the AI Platform that power our internal AI Studio: evaluation pipelines, fine-tuning workflows, LLM observability, and experimentation tooling. You will partner closely with product and data science to translate real member needs into reliable, impactful AI systems that improve continuously based on real-world usage.RESPONSIBILITIES: Design, build, and operate production AI systems and scaffolding around language models that power conversational, predictive, and generative capabilities across WHOOP products. Lead end-to-end AI system initiatives spanning problem definition, data flows, dataset design, evaluation harnesses, deployment, and iteration in close partnership with data science and product. Build and maintain pipelines for collecting, curating, and reshaping messy, multi-source data into high-quality, well-structured training and evaluation datasets for language model-based systems. Operationalize fine-tuning and evaluation workflows for large language models behind member-facing features such as WHOOP Coach and AI Support, including defining datasets, labels, and taxonomies that reflect real member needs. Develop tooling and frameworks that make experimentation, offline/online evaluation, and model deployment faster, safer, and more repeatable, including robust observability for AI features in production. Build and maintain feedback loops that connect real member interactions, offline evaluations, and training data updates so that models improve continuously based on real-world behavior. Mentor other engineers and data scientists, share best practices in applied AI/ML, and help elevate the overall technical bar of the AI Platform team. QUALIFICATIONS: 3+ years of experience in applied machine learning, AI engineering, or ML-focused software engineering roles, including significant work in production environments. Hands-on experience building with modern language models (open-weight or API-based), including prompt design, fine-tuning, and rigorous evaluation. Solid working understanding of ML fundamentals (dataset construction, feature engineering, training workflows, evaluation metrics, experiment design) sufficient to make good engineering tradeoffs and partner effectively with data scientists. Familiarity with modern LLM training and alignment techniques such as supervised fine-tuning (SFT), direct preference optimization (DPO), and reinforcement learning (RL), and how they influence data requirements, evaluation strategies, and system design in production. Proven track record building, shipping, and operating ML-powered systems end to end, from data pipelines (batch and/or streaming) that transform large datasets into usable training and evaluation sets to production deployments with inference optimization, observability, and lifecycle management. Strong proficiency in data manipulation and analysis, including working with messy, multi-source, and semi-structured data and translating product questions into well-defined datasets, labels, and evaluation splits. Familiarity with best practices for secure, privacy-aware AI and working with sensitive data. Excellent communication and collaboration skills, with the ability to influence across teams and drive alignment on technical direction. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework. Also check out our AI studio blog here. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success. The U.S. base salary range for this full-time position is $150,000 - $210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements. Learn more about WHOOP .

Transform healthcare with us. At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring-working alongside leading health systems to drive real change. This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board. Join us in shaping the future of healthcare. Job Summary: We're looking for an experienced Technical Lead / Platform Engineer to drive the development of our Gen AI for Healthcare SaaS platform. As a key member of our early engineering team, you'll be responsible for shaping the architecture, leading the engineering efforts, and ensuring the successful delivery of our cutting-edge healthcare AI solution. Key Responsibilities: Define and implement the overall architecture of our AI SaaS platform Lead the development of core platform services and ensure their seamless integration Write clean, efficient, and maintainable code following best practices Collaborate with the team to create comprehensive technical documentation Manage project timelines, milestones, and deliverables Provide guidance and mentorship to junior engineers Actively contribute to infrastructure automation, monitoring, and alerting strategies Required Qualifications: 8+ years of relevant industry experience Proven experience as a Technical Lead responsible for directing the work of others Production experience at scale of a generative ai application or platform Expert proficiency in Python and solid skills in type Script or Java as well as some experience in a modern compiled language such as Go or Rust Deep understanding of microservices architecture and RESTful APIs Expert experience in one of the cloud platforms (AWS, GCP, or Azure) and solid understanding of infrastructure as code (Terraform) Expert in DevOps practices, CI/CD pipelines, and monitoring tools Familiarity with agile development methodologies and project management tools Strong familiarity with scaling tools such as Docker and Kubernetes Excellent problem-solving, communication, and leadership skills Able to work on site in at our amazing offices in Palo Alto 3 days per week Desirable Skills: Experience with AI/ML platforms and frameworks (TensorFlow, PyTorch, etc.) Some experience with all three major cloud providers (GCP, Azure, AWS) Significant experience with GCP in particular Familiarity with front-end technologies (React, Angular, Vue.js) Previous experience in the healthcare industry What We Offer: Competitive startup salary and equity packages. Health, dental, and vision insurance. Flexible working hours and hybrid work options. An opportunity to be at the forefront of AI in healthcare, making substantial impacts on patient care and outcomes. A vibrant and inclusive work environment that fosters creativity and innovation. Pay & Benefits: The pay range for this role is between $200,000 and $250,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits. Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.

Altarum | Data & AI Center of Excellence (CoE) Altarum is seeking a Senior Analytics Engineer - BI & Data Visualization to serve as the “last-mile translator” between advanced data systems and the decision-makers who rely on them. In this pivotal role, you'll turn raw data pipelines, evaluation outputs, causal inference models, and ML predictions into trusted, actionable insights for federal and state partners. If you love semantic modeling, BI design, dbt craftsmanship, and telling complex stories with data, this role puts you at the center of Altarum's insight delivery ecosystem. What This Role Blends Analytics Engineering (dbt, SQL, semantic modeling) Data Visualization Leadership (Power BI, UX, narrative design) ML & Evaluation InterpretabilityShared-services enablement across all Altarum divisions You will set the standards, build the templates, and create the reusable metrics that power insights organization-wide.What You'll Do Own dbt projects across public health, behavioral health, Medicaid, maternal/child health, and SDOH domains. Create and manage semantic models, data contracts, macros, and versioned transformations. Define and govern reusable metrics: dimensions, denominators, time logic, risk adjustment, and composite measures. Build star schemas and conformed dimensions optimized for Power BI, including RLS and deployment pipelines. Work closely with Data Platform Engineers to ensure pipelines are analytics-ready and performant. Data Visualization & Storytelling Lead design and delivery of executive-ready dashboards using Power BI, with strong UX and accessibility (Section 508). Build dashboards in Power BI (primary) with optional support for Tableau/Looker. Translate complex methods-equity stratifications, quasi-experimental results, small-area estimation, NLP outputs-into policy-ready visuals. Create ML explainability dashboards (SHAP, LIME, bias metrics, drift/calibration). Partner with creative and UX teams to produce visually compelling and context-appropriate designs. Quality, Governance, & Standards Implement rigorous validation and BI QA (dbt tests, performance testing, dashboard monitoring). Maintain a centralized metrics catalog, semantic dictionary, and visualization standards. Manage BI versioning, documentation, and data lineage in alignment with federal requirements. Develop Power BI themes, navigation patterns, KPI templates, and reusable dbt + BI starter projects. Enablement & Scale Develop and deliver training for Analytics Engineering and BI best practices. Provide pairing sessions, workshops, and visualization coaching across divisions. Publish accelerator packages (dbt bundles, semantic models, Power BI templates) to improve delivery speed. Instrument BI usage analytics and run structured feedback cycles with stakeholders. Success Metrics (KPIs) Time-to-dashboard ≤ 4 weeks from modeled data to stakeholder review Dashboard adoption, usage, and stakeholder satisfaction Increased metric standardization and catalog coverage Reuse of templates and semantic models across ≥3 divisions What You'll Bring 5-8 years as an Analytics Engineer, BI Lead, or similar role Strong proficiency in SQL and dbt (models, tests, macros, documentation, CI/CD) Mastery of Power BI, including DAX, Power Query (M), semantic models, dataflows, RLS, and deployment pipelines Strong experience with data modeling, dimensional design, and performance tuning Ability to present analytics solutions and incorporate customer feedback Strong Git workflows, code review, and documentation discipline Preferred: Familiarity with public health or Medicaid/Medicare domains and equity or evaluation methods Experience integrating ML outputs into dashboards (SHAP, drift, feature importance) Python/R for analysis or geospatial mapping (ArcGIS/QGIS) Knowledge of FHIR-to-analytics models, USCDI+, or TEFCA concepts Experience with AWS-based data sources (Redshift, Athena, S3/Parquet) or Databricks/Snowflake Experience developing BI/analytics training or design systems Power BI for Government experience (strongly preferred, not required) Logistical Requirements At this time, we will only accept candidates who are presently eligible to work in the United States and will not require sponsorship. Our organization requires that all work, for the duration of your employment, must be completed in the continental U.S. unless required by contract. If you're near one of our offices (Arlington, VA; Silver Spring, MD; or Novi, MI), you'll join us in person one day every other month (6 times per year) for a fun, purpose-driven Collaboration Day. These days are filled with creative energy, meaningful connection, and team brainstorming! Must be able to work during Eastern Time unless approved by your manager. Employees working remotely must have a dedicated, ergonomically appropriate workspace free from distractions with a mobile device that allows for productive and efficient conduct of business. Altarum is a nonprofit organization focused on improving the health of individuals with fewer financial resources and populations disenfranchised by the health care system. We work primarily on behalf of federal and state governments to design and implement solutions that achieve measurable results. We combine our expertise in public health and health care delivery with technology development and implementation, practice transformation, training and technical assistance, quality improvement, data analytics, and applied research and evaluation. Our innovative solutions and proven processes lead to better value and health for all. Altarum is an equal opportunity employer that provides employment and opportunities to all qualified employees and applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by applicable law.

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) About the role We are looking for bright engineers interested in leading customer engagements and owning overall account strategy. Our Technical Customer Leads have a unique mix of software expertise, domain knowledge, and execution driven mindset. Using these skills, they work closely with engineering teams to ensure that Applied's products are providing maximum impact to advance customers' autonomy initiatives. This is an important role for the company managing customer relationships and ensuring customer success with Applied's products and expertise. Check out what a typical day would look like as an Application Engineer here! At Applied Intuition, you will: Own account strategy for major enterprise customers of Applied Manage executive and leadership relationships Work closely with customers to understand their development needs and use cases for autonomy to propose effective use of Applied's products Ensure customer needs are supported by broader engineering team through effective prioritization Collaborate with our sales and engineering teams to gather requirements through detailed technical discussions and workshops Explore new product development areas driven by strategic understanding of customer landscape We're looking for someone who has: 3+ years experience working with external customers to integrate complex systems, troubleshoot issues, and/or drive problems to resolution Strong grounding in large scale software development Baseline knowledge in working with software systems, Linux, and cloud Strong technical communication skills and focus on solving customer problems Nice to have: Prior background in technical sales or application engineering for simulation products Prior work in autonomous vehicle or robotics development domains Experience with automotive OEMs or suppliers Autonomy is one of the leading technological advances of this century that will come to impact our lives. The work you'll do at Applied will meaningfully accelerate the efforts of the top autonomy teams in the world. At Applied, you will have a unique perspective on the development of cutting edge technology while working with major players across the industry and the globe. Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $105,000 - $165,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Clasp is hiring a Tech Lead for our originations team! We are seeking a Tech Lead to partner with our existing technical leadership to mobilize our engineering team as we scale our product to help tens of thousands more students and partner with dozens more alternative education partners, financing hundreds of millions of dollars of loans and other financial products. The ideal candidate is exceptionally strong at decomposing challenging problems, fluent in Javascript/Typescript, and opinionated about UX & APIs, but is also passionate about growing people around them and instilling in others best practices. At Clasp we run a DevOps culture where the engineers have full ownership of the code they write & the infrastructure on which it runs. Candidates should be enthused about making substantial contributions to the architecture driving the product roadmap and the Clasp business, and achieving tremendous personal growth with us along the way! About Us Clasp is a venture-backed, mission-driven startup transforming access to education and career pathways. We are revolutionizing the way employers attract and retain critical talent, while simultaneously tackling the student debt crisis. (Yep, we think BIG.) Our innovative platform meaningfully connects employers, educational institutions, and diverse talent to drive mutual benefit-using accessible education financing as the thread. We like to think of ourselves as more than a fintech; we're a catalyst for economic mobility. A Forbes Fintech 50 company, portfolio company of SHRM (Society of Human Resource Management - the largest HR organization out there!) and recipient of “Startup of the Year” by StartUp Boston, Clasp is driven by our commitment to social impact and innovation. We are reshaping the future of the workforce one opportunity at a time. Join us on our journey to give power to learners and unlock fulfilling careers that drive positive change in their communities and beyond.What You'll Do Architect, build, and maintain a robust loan origination platform, ensuring scalability, performance, and maintainability across front-end and back-end systems Analyze complex technical and business challenges, break them down into actionable solutions, and drive decisions with data, experimentation, and collaboration Set best practices for code quality, system design, and security while mentoring engineers and conducting code reviews Work with cross-functional stakeholders to define and prioritize work, break down large initiatives into achievable milestones, and balance technical debt with new feature development Foster a strong engineering culture through collaboration, knowledge sharing, and continuous improvement. Participate in on-call rotations and ensure by building self-healing and resilient systems and leveraging infrastructure as code and monitoring tools that our systems are highly available What You'll Need Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent bootcamp or upskilling program experience Experience architecting & evolving complex distributed systems with state-machine workflows and ensuring reliable operations. We use Firebase and Google Cloud Functions but any related microservice, SoA and step function experience is relevant. Hands-on experience managing CI/CD pipelines (GitHub Actions, Jenkins, CircleCI, or similar) and ownership of deployment strategies, release management, and production monitoring Experience working closely with Product teams to define technical requirements and Compliance teams to ensure regulatory adherence in financial services or similarly regulated environments. Ability to clearly articulate technical trade-offs, align stakeholders, and make informed decisions under ambiguity. 3-6+ years working in a SaaS startup regularly building and owning the complete E2E technology stack for Web Application (Frontend + Backend + Cloud + CI/CD) Deep experience with a combination of the following technologies: Javascript & TypeScript (React, NextJS, Firebase), Python (Django, Flask, FastAPI, etc.), HTML, CSS Databases: NoSQL (we use Firestore) and SQL (we use BigQuery and PostgreSQL) Cloud: AWS or Google Cloud experience Design: We use Figma; understanding of responsive design DevOps: Experience with CI/CD and modern cloud and container tooling What We Give in Return Competitive cash and equity compensation Health benefits (health, dental, & vision) 401k Match Commuter benefits Flexible PTO policy Opportunities to grow and perform in a fast-paced environment alongside a stellar team If you are a highly driven individual with a passion for technology, and you thrive in a dynamic and fast-paced environment, we want to hear from you! Join us in revolutionizing the workforce solution industry and making a meaningful impact on businesses worldwide. Apply now to be a part of our growing team! We are committed to creating a diverse and inclusive workplace where all employees feel valued, respected, and empowered to contribute their unique perspectives and talents. Clasp is an equal opportunity employer and prohibits discrimination and harassment of any kind. We embrace diversity and are dedicated to providing equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) About EpiSci EpiSci, an Applied Intuition company, develops next-generation, tactical autonomy solutions for national security problems. EpiSci's autonomy software is technology agnostic, operationally informed, tactically relevant, and has piloted swarms of uncrewed aerial systems and tactical fighter aircraft. Additional applications include crewed-uncrewed teaming for air dominance, cognitive sensors, and networks for advanced communications systems, as well as battle management command and control for informed decision-making. EpiSci delivers unmatched speed, cost-efficiency, and scalability as the preferred partner for defense agencies and industry teams seeking mission-critical autonomy solutions. About the role As a Robotic Autonomy Systems Engineer, you will design and integrate complex autonomy and vehicle intelligence systems spanning hardware and software domains. You will integrate hardware and software onto vehicle platforms and deploy autonomy algorithms in both a HIL/SIL and flight test environment. Computer networking, code integration, and a passion for robotics integration is a must. You will collaborate closely with cross-functional teams to deliver robust, scalable solutions for defense and commercial customers, providing seamless hardware-software integration, troubleshooting, and customer-facing demonstrations. At Applied Intuition, you will: Adapt and develop modular and agile autonomy capabilities across diverse defense problems Integrate and deploy autonomy solutions onto embedded Linux and other hardware platforms, including interfacing with sensors and collecting data Troubleshoot complex integration and software issues to ensure high reliability and performance Integrate autonomy software into hardware in collaboration with autonomy engineers that supports full integration with aircraft autopilots, datalinks, sensors, PNT/GPS/INS, ground control stations, etc. Support live flight test of autonomy software on group 1-5 unmanned aerial vehicles (UAVs) Collaborate with 3rd party UAS vehicle vendors on the integration of EpiSci autonomy software onto OEM UAS hardware Conduct system-level setup, testing, and validation, including software-in-the-loop and hardware-in-the-loop evaluations Collaborate with autonomy engineers to implement service-oriented-architecture software and inter-process messaging systems for autonomous UASsCollaborate with DoD warfighter domain experts and 3rd party UAS vehicle vendors to develop and integrate autonomy software onto OEM hardware We're looking for someone who has: BS or MS in Robotics, Computer Science or related engineering field 3+ years of hands-on experience working with robotic systems (hardware, software, and integration) Experience with software programming languages: C++ preferred Experience integrating autonomy/robotics products with Pixhawk autopilots (ArduPilot and/or PX4) Experience integrating with communication busses & protocols: UART/RS232/RS422/RS485 , SPI/QSPI , I2C , Ethernet Experience developing in Docker, containerized deployment environments, and using Linux-based operating systems (e.g., RHEL, Ubuntu) Experience using git, Visual Studio Code, GitLab Familiarity with real-time, edge computing, and safety-critical systems operating in software-in-the-loop (SIL), hardware-in-the-loop (HIL), test & operational environments Excellent communication skills and customer-oriented project delivery mindset Willingness to travel frequently for on-site integration and demonstrations (estimated 10-20%) U.S. Citizenship Eligibility to obtain and maintain a U.S. security clearance Nice to have: Experience in modern C++ (2011, 2017, or 2020 standards), Bash, and CMake FAA Part 107 Remote Pilot Certificate Experience with ROS2, Agile development practices, and CI/CD pipelines Prior work with COTS hardware integration such as Nvidia Jetson and Xilinx RF/MPSOC Active U.S. SECRET clearance preferred Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $150,000 to $215,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) About EpiSci EpiSci, an Applied Intuition company, develops next-generation, tactical autonomy solutions for national security problems. EpiSci's autonomy software is technology agnostic, operationally informed, tactically relevant, and has piloted swarms of uncrewed aerial systems and tactical fighter aircraft. Additional applications include crewed-uncrewed teaming for air dominance, cognitive sensors, and networks for advanced communications systems, as well as battle management command and control for informed decision-making. EpiSci delivers unmatched speed, cost-efficiency, and scalability as the preferred partner for defense agencies and industry teams seeking mission-critical autonomy solutions. About the role We are seeking an experienced Electronic Warfare (EW) engineer to join our cognitive sensing and radio frequency (CSRF) engineering team. The ideal candidate will play a significant role in designing, developing, and implementing cutting-edge EW software solutions that align with our mission to deliver advanced technologies in signal and electronic intelligence (SIGINT and ELINT). This position requires extensive expertise in radar signal processing, modeling radars, software development, and applications of interest in the defense space. At Applied Intuition, you will: Design and develop signal processing algorithms for radar receivers and transmitters Implement radar models, waveforms, and algorithms in a complex simulation environment Stay up-to-date with the latest advancements in electronic warfare techniques, algorithms and models, and implement best practices Execute and support the engineering aspects of contracts in radar signal processing We're looking for someone who has: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field Experience modeling complex radar systems Strong programming skills in scripting (e.g., Python), and compiled languages (e.g., C and C++) Ability to translate radar specification documents into working software suites Experience designing, developing, and evaluating radar modeling and simulations for applications in electronic warfare Ability to transition software simulation applications that are deployed on hardware Passion for solving complex problems with little supervision in a fast-moving team Ability to work in a fast-paced, highly collaborative, and rapidly changing environment Travel Requirements: Must be willing to travel as projects require. Estimated average travel is once every month for between 2 days up to 1 week. (~25%) Security Requirements: Must be a U.S. Citizen Must have an active U.S. security clearance For more information about U.S. security clearances: click here. Nice to have: 5+ yrs experience with software implementation of radar signal processing algorithms Well versed in cognitive electronic warfare techniques. Software integration and understanding of electronic warfare systems. Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $155,000 to $190,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.