Requirements Engineer jobs at Bayer - 1497 jobs

About Brilliant About Brilliant is creating a world of better problem solvers. We deliver learning that's interactive, adaptive, and fun - at scale. You can learn more about our approach, learners, and method on our about page. We have always prioritized building a real, healthy business. We serve hundreds of thousands of paid subscribers, and want you to help us serve millions. We are default alive (will be profitable before needing to raise), and make hires very selectively and intentionally. In our day-to-day, we value adventure, excellence, generosity, and candor. We are optimists in the face of uncertainty, we take pride in our work, we go the extra mile for each other, and we tell it like it is (the good and the bad). We're here to do the best work of our lives together. We believe that real-time collaboration and human connection are necessary ingredients in building a high-velocity, creatively-oriented consumer product. We maintain core hours (9:30am - 2:30pm Pacific) when everyone is online, regardless of timezone. Over half of us are located near our hubs in SF and NYC. In addition to what's below, you can see all open roles and learn more about our culture on our careers page. The Role Engineers at Brilliant work in small, elite teams alongside colleagues from Product, Design, and Data to achieve the best possible outcomes for our learners and our business. We're opportunistically hiring exceptional product engineers with a demonstrated history of transformative impact on mobile products to further elevate the team. We\'re looking for versatile and product-minded engineers skilled at building delightful experiences on Android with Kotlin & Jetpack Compose. Our ideal candidate for this role will be energized by having deep ownership across our entire Android product as one of only two Android engineers on the team. Interactive education is in its infancy: we\'ve only scratched the surface of what\'s possible with computer-based pedagogy. Our work helps people across Brilliant teach topics from vector calculus to neural networks in an interactive way. Come build the future of interactive learning with us! Responsibilities Bring new features from conception to completion, helping people around the world to learn more effectively by contributing code on Android and iOS - and maybe even web! Be mindful of the “big picture” from both a technical perspective and a business one, keeping the team on track in terms of “building the right thing” and “building the thing right”. Exercise a high degree of autonomy and technical authority on a team that trusts you to do what\'s right for our users but is there to support you when you need it. Contribute to a culture of excellence, setting high standards for candor and mutual accountability, and striking a careful balance between velocity and quality. Advocate for initiatives that will improve developer experience for Brilliant\'s engineers and user experience for Brilliant\'s learners. Frequently ask: How does this impact our learners? Who are you? You have at least 5 years of professional experience in software engineering. You got into programming because you're motivated by solving users' problems. You enjoy solving technical challenges in a way simple enough for an intern to understand and build upon. You avoid introducing complex, novel, or "clever" solutions. You write code for humans, not for computers. You're excited to collaborate closely with talented engineers, product managers, and designers. You enjoy solving problems as a team, pair-programming, and sharing knowledge. You want to be a mentor and to be mentored. You have deep experience with a few languages and frameworks, and you know what you do and do not like about them. You believe in using the right tool for the job - even when it's an unfamiliar one, and especially when it\'s a boring one. You stay up-to-date with the latest technologies and patterns, recognizing the differences between a game-changer and a passing fad. You have a favorite product and can articulate your perspective on what makes using it delightful. You often think about how the products you use could be better. You're constantly tinkering with AI tools and workflows, eagerly exploring how to achieve new levels of productivity. $180,000 - $240,000 a year Plus stock options. Our Engineering Team Brilliant\'s engineering team is small, elite, and AI-enabled. We believe in moving fast, fixing faster, and optimizing for outcomes over outputs. Our team is full of former founders, early employees, and engineering leaders turned ICs whose collective drive, judgement, and standards generate a palpable sense of momentum every day. The norm on this team is doing the very best work of our careers, and we both support and challenge each other every day to do exactly that. Compensation and Benefits We use a systematic compensation framework: salary scales are set each year for each job vertical, managers level folks on their team, and those levels are mapped directly to our compensation scales. A location-based adjustment is applied outside of SF and NYC (typically 5-10%) - feel free to ask us about your location! Given the systematic approach, we always make First and Best offers - there is no negotiation (for new hires nor our existing teammates). This ensures people are paid based on their expected contribution, not their negotiation skills. We offer top-notch health care plans, with 100% of the premiums covered for medical, dental, and vision for employees. We offer flexible PTO, with a norm of taking off about 6 weeks per year (including federal holidays). We also provide home office equipment, a professional development stipend, and free food at our offices. Our CCPA Privacy Notice can be found here. #J-18808-Ljbffr

A technology company in San Francisco is seeking a Frontend Software Engineer to enhance user experiences and integrate AI workflows into their platform. The ideal candidate has over 3 years of experience with React and TypeScript, focusing on building rich, data-driven applications. You will collaborate closely with design and product teams to deliver intuitive user interfaces and features. This role offers a competitive salary and flexible benefits including health coverage and learning support. #J-18808-Ljbffr

At Falconer, we're transforming how engineers create, access, and share knowledge. We're looking for a Founding Backend Engineer to help us build an AI-powered knowledge platform that companies love. As a founding engineer, you won't just help shape our product development-you'll have a seat at the table to define Falconer's technical direction and culture. Key responsibilities Participate in the entire product development lifecycle, including architecture, coding, testing, and deploying Research and apply best practices in terms of infra, deployment, and containerization of our products and ML stack Develop and maintain backend systems including API services, databases, and server-side logic Optimize applications for maximum speed and scalability Write clean, efficient, and well-documented code, following industry best practices- the Falconer platform will help you! Stay updated with emerging technologies in web development and make recommendations for adopting new tools and practices Who you are Degree in Computer Science, Engineering or a related field, or equivalent work experience Minimum of 5 years of experience in developing APIs or backend systems in different languages (we'll gravitate towards Python and Node.js) You can evaluate trade-offs and propose the most appropriate storage solution (SQL, NoSQL, Vector DBs) You have experience with event queues such as Kafka or RabbitMQ You make containers look simple, and are the go-to person to discuss Docker or Kubernetes You can make anything run in AWS or Google Cloud You enjoy hard problems and open-ended assignments You use data to make decisions, and experiment your way around hard problems Bonus points You've developed products with LLMs before (extra if you've already built your own agents) You're familiar with vector databases and similarity search Perks and benefits Generous equity package Competitive salary and benefits 401(k) retirement account The best equipment and tools, like a spec'd out MacBook, and dev prod tools like Cursor, Claude, and Linear to help you move fast Flexible work arrangements with in-office work or hybrid work for the right candidate Our office is in San Francisco, just steps from Caltrain At Falconer, we value diversity and equal opportunities. We welcome applicants from all backgrounds and are committed to creating an inclusive workplace. If you are passionate about technology and thrive in a challenging environment, come join our team and help us shape the future of work communication. #J-18808-Ljbffr

At Falconer, we're transforming how engineers create, access, and share knowledge. We're looking for a Founding AI Engineer to help us build an AI-powered knowledge platform that companies love. As a founding engineer, you won't just help shape our product development-you'll have a seat at the table to define Falconer's technical direction and culture. Key responsibilities Participate in the entire product development lifecycle, including architecture, coding, testing, and deploying Research and apply best practices in terms of Knowledge Graph, embeddings, vector and graph RAG search, fine-tuning, and model optimization Develop and maintain backend systems including API services, databases, and server-side logic Optimize tech stack and applications for maximum precision and speed Write clean, efficient, and well-documented code, following industry best practices- the Falconer platform will help you! Stay updated with emerging technologies in web development and make recommendations for adopting new tools and practices Who you are Advanced degree in Machine Learning, Computer Science, Data Science, Engineering, or equivalent work experience Minimum of 2 years of professional experience in developing ML data pipelines Experience with text embeddings, RAG systems, and similarity search Familiar with Entity and Relationship recognition models Skilled at prompt engineering Ability to implement backend systems in Python and/or Node.js You can evaluate tradeoffs and propose the most appropriate storage solution (SQL, NoSQL, Vector DBs, Graph databases) You enjoy hard problems and open-ended assignments You use data to make decisions, and experiment your way around hard problems Bonus points You've developed products with LLMs before (extra if you've already built your own agents) You have fine-tuned foundational models to tailor responses to specific data use cases You have experience with LlamaIndex and Memgraph to produce knowledge graphs Perks and benefits Generous equity package Competitive salary and benefits 401(k) retirement account The best equipment and tools, like a spec'd out MacBook, and dev prod tools like Cursor, Claude, and Linear to help you move fast Flexible work arrangements with in-office work or hybrid work for the right candidate Our current office is in San Francisco, just steps from Caltrain At Falconer, we value diversity and equal opportunities. We welcome applicants from all backgrounds and are committed to creating an inclusive workplace. If you are passionate about technology and thrive in a challenging environment, come join our team and help us shape the future of work communication. #J-18808-Ljbffr

A leading analytics platform company in San Francisco is seeking an experienced software engineer to build interfaces for AI-powered analytics tools. The role involves designing intelligent workflows, collaborating with a skilled team, and driving innovation in a supportive environment. Candidates should possess 3-10+ years of software engineering experience, proficiency in TypeScript or JavaScript, and strong analytical tool knowledge. Excellent benefits including competitive salary, equity package, and health insurance are offered. #J-18808-Ljbffr

About Brilliant About Brilliant is creating a world of better problem solvers. We deliver learning that's interactive, adaptive, and fun - at scale. You can learn more about our approach, learners, and method on our about page. We have always prioritized building a real, healthy business. We serve hundreds of thousands of paid subscribers, and want you to help us serve millions. We are default alive (will be profitable before needing to raise), and make hires very selectively and intentionally. In our day-to-day, we value adventure, excellence, generosity, and candor. We are optimists in the face of uncertainty, we take pride in our work, we go the extra mile for each other, and we tell it like it is (the good and the bad). We're here to do the best work of our lives together. We believe that real-time collaboration and human connection are necessary ingredients in building a high-velocity, creatively-oriented consumer product. We maintain core hours (9:30am - 2:30pm Pacific) when everyone is online, regardless of timezone. Over half of us are located near our hubs in SF and NYC. In addition to what's below, you can see all open roles and learn more about our culture on our careers page. The Role Engineers at Brilliant work in small, elite teams alongside colleagues from Product, Design, and Data to achieve the best possible outcomes for our learners and our business. We're opportunistically hiring exceptional product engineers with a demonstrated history of transformative impact on mobile products to further elevate the team. We\'re looking for versatile and product-minded engineers skilled at building delightful experiences on Android with Kotlin & Jetpack Compose. Our ideal candidate for this role will be energized by having deep ownership across our entire Android product as one of only two Android engineers on the team. Interactive education is in its infancy: we\'ve only scratched the surface of what\'s possible with computer-based pedagogy. Our work helps people across Brilliant teach topics from vector calculus to neural networks in an interactive way. Come build the future of interactive learning with us! Responsibilities Bring new features from conception to completion, helping people around the world to learn more effectively by contributing code on Android and iOS - and maybe even web! Be mindful of the “big picture” from both a technical perspective and a business one, keeping the team on track in terms of “building the right thing” and “building the thing right”. Exercise a high degree of autonomy and technical authority on a team that trusts you to do what\'s right for our users but is there to support you when you need it. Contribute to a culture of excellence, setting high standards for candor and mutual accountability, and striking a careful balance between velocity and quality. Advocate for initiatives that will improve developer experience for Brilliant\'s engineers and user experience for Brilliant\'s learners. Frequently ask: How does this impact our learners? Who are you? You have at least 5 years of professional experience in software engineering. You got into programming because you're motivated by solving users' problems. You enjoy solving technical challenges in a way simple enough for an intern to understand and build upon. You avoid introducing complex, novel, or "clever" solutions. You write code for humans, not for computers. You're excited to collaborate closely with talented engineers, product managers, and designers. You enjoy solving problems as a team, pair-programming, and sharing knowledge. You want to be a mentor and to be mentored. You have deep experience with a few languages and frameworks, and you know what you do and do not like about them. You believe in using the right tool for the job - even when it's an unfamiliar one, and especially when it\'s a boring one. You stay up-to-date with the latest technologies and patterns, recognizing the differences between a game-changer and a passing fad. You have a favorite product and can articulate your perspective on what makes using it delightful. You often think about how the products you use could be better. You're constantly tinkering with AI tools and workflows, eagerly exploring how to achieve new levels of productivity. $180,000 - $240,000 a year Plus stock options. Our Engineering Team Brilliant\'s engineering team is small, elite, and AI-enabled. We believe in moving fast, fixing faster, and optimizing for outcomes over outputs. Our team is full of former founders, early employees, and engineering leaders turned ICs whose collective drive, judgement, and standards generate a palpable sense of momentum every day. The norm on this team is doing the very best work of our careers, and we both support and challenge each other every day to do exactly that. Compensation and Benefits We use a systematic compensation framework: salary scales are set each year for each job vertical, managers level folks on their team, and those levels are mapped directly to our compensation scales. A location-based adjustment is applied outside of SF and NYC (typically 5-10%) - feel free to ask us about your location! Given the systematic approach, we always make First and Best offers - there is no negotiation (for new hires nor our existing teammates). This ensures people are paid based on their expected contribution, not their negotiation skills. We offer top-notch health care plans, with 100% of the premiums covered for medical, dental, and vision for employees. We offer flexible PTO, with a norm of taking off about 6 weeks per year (including federal holidays). We also provide home office equipment, a professional development stipend, and free food at our offices. Our CCPA Privacy Notice can be found here. #J-18808-Ljbffr

A leading financial technology company based in San Francisco is seeking a Staff Machine Learning Engineer for their Fraud Data team. This role involves designing and building scalable machine learning infrastructure that supports advanced fraud detection products. The ideal candidate will have over 8 years of experience in engineering, with significant exposure to production ML systems. Additionally, you'll mentor other engineers while collaborating with cross-functional teams to develop impactful solutions. We are open to remote candidates. #J-18808-Ljbffr

Job ID 2026-13517 # of Openings 1 Category Information Technology Benefit Type Salaried High Fringe/Full-Time LMI seeks an experienced AI/ML Engineer (Data Scientist) to support the U.S. Army's Holistic Health & Fitness (H2F) initiative as a member of the Analytics functional team within the H2F Program Support Team. The AI/ML Engineer (Data Scientist) is responsible for developing, validating, and operationalizing analytic models, statistical methods, and machine learning approaches that support readiness assessment, injury-risk analysis, and user engagement insights within the Holistic Health and Fitness Management System (H2FMS). This role focuses on applied analytics and model implementation, not independent analytic strategy or policy-setting. The AI/ML Engineer works closely with the Technical Project Manager, data engineers, data governance specialists, epidemiologists, research psychologists, tactical sports scientists, and software teams to translate Government-directed analytic requirements into reproducible, interpretable, and scalable analytic solutions. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Develop and implement statistical and machine learning models supporting readiness assessment, performance analysis, and injury-risk awareness. Apply appropriate analytic methods based on data characteristics, scientific guidance, and Government priorities. Ensure analytic approaches are transparent, interpretable, and suitable for operational decision support. Support validation, testing, and refinement of analytic models under Government and senior scientific direction. Assess model performance, limitations, assumptions, and potential bias. Collaborate with epidemiologists and research psychologists to ensure analytic outputs align with scientific intent. Work with data engineers to support feature development, data preparation, and analytic dataset construction. Assist in identifying data quality issues that may impact model performance. Ensure analytic inputs align with approved data definitions and governance standards. Collaborate with software teams to support integration of analytic outputs into dashboards, reports, and user-facing decision-support tools. Support development of repeatable analytic workflows and documentation. Assist in troubleshooting analytic issues in coordination with data and software teams. Contribute to documentation of analytic methods, assumptions, limitations, and results. Support preparation of analytic summaries, briefings, and materials for Government stakeholders. Clearly communicate analytic findings in a manner appropriate for non-technical audiences. Qualifications Required Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field. Demonstrated experience applying statistical analysis or machine learning techniques to real-world data problems. Familiarity with data preparation, feature engineering, and model evaluation concepts. Experience working with structured and semi-structured data. Ability to collaborate effectively within multidisciplinary teams spanning analytics, research, and software development. Strong analytical reasoning and communication skills. Ability to obtain and maintain a Secret security clearance. Desired Qualifications Experience supporting applied analytics in health, human performance, readiness, or research-driven environments. Familiarity with integrating analytic outputs into dashboards or operational systems. Experience working alongside data engineering or software development teams. Prior experience supporting DoW or federal customers. Location & Travel Duty Location: This position may be performed remotely. Travel: Limited travel to Fort Eustis, Virginia or LMI Headquarters may be required to support planning, integration, or stakeholder engagement. Target salary range: $110,986 - $195,154 The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

A cutting-edge cybersecurity firm in San Francisco is seeking a Data Engineer to design and architect their data infrastructure. In this high-impact position, you will be responsible for building scalable and secure database systems that operate across various environments. The ideal candidate should have over five years of experience in data engineering and a solid understanding of compliance frameworks. If you want to be at the forefront of autonomous cyber defense, this is your opportunity. #J-18808-Ljbffr

Job ID 2025-13317 # of Openings 1 Category Information Technology Benefit Type Salaried High Fringe/Full-Time Seeking a Cybersecurity Engineer to lead system Assess and Authorize (A&A) activities related to the sustainment of U.S. Army medical devices and systems. The Cybersecurity Engineer will execute duties supporting the Risk Management Framework (RMF) lifecycle culminating in successful Authority to Operate (ATO) decisions and continuous monitoring. Work location is client site, Fort Detrick, MD with partial teleworking permitted. This position requires an active Secret security clearance. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Lead the development, review and management of system Assess and Authorize documentation to ensure it is compliant with RMF standards. Develop guidance and assists associates through the RMF phases. Perform Risk Management and testing of Federal Information System Controls Audit Manual (FISCAM) and RMF controls utilizing Committee on National Security Systems Instruction (CNSS) Instructions 1253 Security Controls Assessment Procedures pursuant to National Institute of Standards and Technology (NIST) Special Publication 800-53 to maintain the information system's security posture. Lead IATT and ATO activities. Maintain system accreditation status, develops reports, and alerts system proponents when accreditation documentation must be updated. Support the organization's program that implements information systems security technology and procedures, to include access control and authentication of users and transmitted information. Prepare, distribute, and maintain plans, instructions, guidance, and standard operating procedures (SOPs) on the security of information systems. Review Army and DoD policy and develop local policy and procedures that implement the Army and DoD's Cybersecurity subprograms and initiatives. Review and evaluate system and network changes for cybersecurity impact and effect on confidentiality, integrity, availability and overall system security posture. Create and submit Plan of Actions & Milestones (POA&M) for review and approval by the Authorizing Official (AO). Qualifications DOD Cyber Workforce (DCWF) 8140 (451) System Administrator role: A BS degree in Information Technology, Cybersecurity, Data Science, Information Systems, or Computer Science, from an ABET accredited or CAE designated institution fulfills the educational requirement for this WRC (conferred within 5 years or able to prove continuous relevant work experience) -OR- Personnel Certifications: Cloud+ or GICSP or SSCP or Security+ or GSEC. If none, must be willing to obtain in first 30-days. 3-5 years demonstrated experience designing, implementing, and monitoring cybersecurity solutions 3-5 years demonstrated RMF and eMASS experience Familiarity with HBSS, Fortify, ACAS /Nessus Certified Information Systems Security Professional (CISSP) (or Associate), Certified Information Security Manager (CISM), Global Information Assurance Certification Security Leadership Certificate (GSLC), Certified Chief Information Security Officer (CCISO) or equivalent DoD 8570 IAM Level III certification Must possess and maintain a Secret Security Clearance Desired Qualifications Core KSATs for DoD Cyber Workforce (DCWF): Knowledge of computer networking concepts and protocols, and network security methodologies. Knowledge of risk management processes (e.g., methods for assessing and mitigating risk). Knowledge of national and international laws, regulations, policies, and ethics as they relate to cybersecurity. Knowledge of cybersecurity principles. Knowledge of cyber threats and vulnerabilities. Knowledge of specific operational impacts of cybersecurity lapses. Knowledge of cloud computing service models Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS). Knowledge of cloud computing deployment models in private, public, and hybrid environment and the difference between on-premises and off-premises environments. AWS cloud experience Azure Cloud Experience Bachelor's degree in a related field Target salary range: $131,090 - $200,000 Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

Job ID 2025-12912 # of Openings 1 Category Cyber Benefit Type Salaried High Fringe/Full-Time LMI is seeking a Cybersecurity Engineer to support our Department of Homeland Security (DHS) market. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Acquire and manage all necessary documentation/artifacts, including cybersecurity support and resources, to support IT cybersecurity goals and objectives from a risk management perspective. Advise senior management on system risk levels and cybersecurity posture for cloud-based environments Assist in the deployment, architecture and configuration of security controls of deployed systems with Cloud Architects Ensure that developed systems and architectures are consistent with all applicable DHS cybersecurity policies and guidelines. Perform Assessment and Authorization (A&A) cybersecurity reviews, identify gaps, and support risk management plans for cybersecurity personnel to execute. Provide input on cybersecurity requirements and collect and maintain data needed to meet system cybersecurity compliance reporting. Provide subject matter expertise for Risk Management Framework (RMF) activities and related documentation to support system accreditation / Authority to Operate (ATO) requirements. Interpret noncompliance to determine the impact on levels of risk and/or overall effectiveness of the enterprise's cybersecurity program. Support necessary compliance activities (e.g., ensure that system security configuration guidelines are followed, compliance monitoring occurs). Coordinate with geographically-distributed, multi-discipline teams to ensure compliance with all applicable requirements for cybersecurity are addressed. Ensure that plans of action and milestones (POAM) or remediation plans are in place for vulnerabilities identified during risk assessments, audits, inspections, etc. and support necessary remediation/compliance activities. Participate in recurring cybersecurity working group meetings. Work with program ISSOs and ISSMs to effectively aggregate technical details for government leadership including the cybersecurity lead, project managers, program managers to facilitate succinct and effective risk discussions and provide understanding of respective program risks. Provide security support and evaluation to development teams to integrate information assurance/cyber security and remediate vulnerabilities throughout the System Life Cycle Development. Participate in ATT and ATO activities Support the organization's program that implements information systems security technology and procedures, to include access control and authentication of users and transmitted information. Prepare, distribute, and maintain plans, instructions, guidance, and standard operating procedures (SOPs) on the security of information systems. Review DHS policy and develop local policy and procedures that implement the DHS Cybersecurity subprograms and initiatives. Review and evaluate system and network changes for cybersecurity impact and effect on confidentiality, integrity, availability, and overall system security posture. Create and submit Plan of Actions & Milestones (POA&M) for review and approval by the Authorizing Official (AO) Qualifications Required Qualifications Bachelor's degree in a related field 8+ years demonstrated experience designing, implementing, and monitoring cybersecurity solutions 8+ years demonstrated RMF Familiarity with cybersecurity tools such as ACAS and Tenable Certified Information Systems Security Professional (CISSP) (or Associate), Certified Information Security Manager (CISM), or Security + certification Expertise in identifying and classifying technical security requirements and specifications Experience developing and evaluating enterprise and system security designs and related architectures Experience developing or ensuring development adheres to cybersecurity requirements and best practices (e.g., NIST controls) Familiarity with commercial off-the-shelf solutions for specific security capabilities DHS/CBP background investigation highly preferred Desired Qualifications Previous work exposure to Docker and Kubernetes containers Exposure to AWS, Azure and Google Cloud eMASS experience #LI-SH1 Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. Target Salary Range- $119,813.31 - $207,174.33 LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

Job ID 2025-13010 # of Openings 1 Category Information Technology Benefit Type Salaried High Fringe/Full-Time LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. The Opportunity We're looking for a Platform Engineer with significant experience in Azure to help us build and support the core infrastructure that powers our Navy logistics and asset visibility platform. You'll help design, deploy, and maintain a Platform-as-a-Service (PaaS) environment that runs containerized apps across hybrid and multi-cloud environments. You'll work closely with developers, DevSecOps engineers, and Navy users to ensure stability, security, and speed. This is a remote-first role with limited travel. Prior Navy or DoD software delivery experience is a huge plus. This position requires a secret clearance. Responsibilities What You'll Do Design, deploy, and manage the infrastructure behind our apps-across Azure, AWS GovCloud, edge, and Navy networks. Automate deployments and environment provisioning using tools like Terraform, Ansible, Gitlab, and AWS CodePipeline. Stand up and secure Kubernetes clusters (Rancher, Helm) and support containerized apps in production. Monitor performance and troubleshoot issues using tools like Grafana, Prometheus, Splunk, or ELK. Work across environments and stacks to ensure apps are secure, scalable, and resilient. Help write and maintain scripts or lightweight apps to support system automation and integration. Support ATO and cybersecurity requirements, including ICAM integration and container-level hardening. Contribute to a team that ships secure, production-grade capabilities to the mission at speed. Qualifications What We're Looking For Active Secret clearance or higher. 3+ years of experience in DevSecOps, infrastructure automation, or platform engineering. Bachelor's degree in Computer Science or related technical field. Security+ or equivalent Strong background in Linux and containerized environments. Proficiency with Kubernetes and container orchestration engines (EKS, AKS, GKE, OpenShift). Hands-on experience with Terraform, Ansible, CloudFormation, or similar IaC tools. Familiarity with secure software development lifecycles and Agile practices. 2+ years of experience writing code (C#, Python, or similar). Deep understanding of version control, rollback strategies, and artifact promotion. Experience integrating static and dynamic code scanning tools into build pipelines. Bonus Points For: AWS or Azure Associate certification. Past involvement in FedRAMP, FISMA, or RMF ATO processes. Previous support of U.S. Navy systems or logistics platforms. Target salary range: $140,000.00 - $200,000.00. DISCLAIMER: Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications. LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

A financial technology company in San Francisco is seeking a skilled Payments Transfer Systems Architect to lead the development of scalable and reliable payment systems. The ideal candidate will have 3-5 years of experience in financial infrastructure, a strong understanding of distributed system design, and proven communication skills to engage with various stakeholders effectively. This role offers a competitive salary and comprehensive benefits. #J-18808-Ljbffr

A leading fintech company headquartered in San Francisco is seeking a skilled AI Applications Engineer to accelerate the integration of AI into its services. The successful candidate will lead projects enhancing customer interaction with AI-driven solutions, focusing on personal finance applications. Strong software engineering fundamentals, experience with large language models, and a collaborative spirit are required. Contributions to diverse and equitable team dynamics are also encouraged. #J-18808-Ljbffr

An innovative tech company in San Francisco is seeking a Founding Backend Engineer to build an AI-powered knowledge platform. This role involves shaping product development, defining technical direction, and working on backend systems, APIs, and databases. Candidates should have over 5 years' experience with languages such as Python or Node.js, expertise in containerization, and a solid understanding of cloud services. The position offers competitive salary, benefits, and flexible work arrangements. #J-18808-Ljbffr

Principal Data Engineer - New York (Hybrid, 3 days on-site) Package: Competitive - Looking for experienced ICs, package will be based on interview performance. We are partnering with a fast-growing global Data and AI Consultancy to hire Principal Data Engineers. This is an exciting opportunity for someone who loves complex problem-solving, cutting-edge technology and working across multiple clients and industries (predominantly regulated spaces: finance, insurance and health care + more). The ideal candidate is passionate about data engineering and has a background in building robust pipelines, and helping businesses leverage their data for meaningful impact. Key Responsibilities Design, build, and maintain data pipelines to ingest, transform, and load data reliably. Implement and manage data lakes and warehouses for scalable and secure access. Ensure systems are reliable, secure, and cost-effective. Collaborate closely with analysts, ML engineers, and platform teams to deliver impactful solutions. Work with modern data tools and cloud platforms to optimise performance and scalability. Technical Skills & Experience Strong experience in Python, Spark, and Airflow. Hands-on knowledge of Snowflake, Databricks, BigQuery, or Neo4J. Familiarity with dbt, Fivetran, Terraform and other data engineering frameworks. Cloud experience with AWS, Azure, or GCP. Proven track record building scalable, reliable, and secure data solutions. Comfortable problem-solving across large, complex datasets and systems. STEM degree from a top university We're open to candidates with and without consulting backgrounds but you must be excited about working with leading global brands and directly with customers. If you're interested in hearing more about this opportunity, please include you most up to date CV.

Who We Are Imprint is reimagining co-branded credit cards & financial products to be smarter, more rewarding, and truly brand-first. We partner with companies like Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. Our platform combines advanced payments infrastructure, intelligent underwriting, and seamless UX to help brands offer powerful financial products-without becoming a bank. Co-branded cards account for over $300 billion in U.S. annual spend-but most are still powered by legacy banks. Imprint is the modern alternative: flexible, tech-forward, and built for today's consumer. Backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, we're building a world-class team to redefine how people pay-and how brands grow. If you want to work fast, solve hard problems, and make a real impact, we'd love to meet you. The Team The Data Engineering team at Imprint is responsible for building and scaling the data infrastructure that supports product development, analytics, operations, and machine learning across the company. We own the pipelines, platforms, and processes that empower our stakeholders to trust and act on our data. The Role As our Staff Data Engineer, you'll architect our data platform while solving our most complex technical challenges. You'll build the foundation for Imprint's next decade of growth: scaling infrastructure for explosive expansion, delivering insights that drive million-dollar decisions, enabling bulletproof partner data sharing, and transforming how every team leverages data. Join us in creating a platform that doesn't just meet today's needs-but anticipates tomorrow's possibilities. What You'll Do Build & Scale Infrastructure Architect our next-generation data platform, optimizing Snowflake, dbt Cloud, and real-time CDC pipelines for enterprise scale Design secure, compliant partner data delivery systems via Snowflake shares, S3/SFTP integrations, and Marketplace listings Create mission-critical financial reporting pipelines with exceptional accuracy and reliability Drive Technical Excellence Establish company-wide data standards for modeling, lineage, contracts, and orchestration Champion data reliability, observability, and trust across all systems Make strategic technology decisions that balance innovation with pragmatism Lead & Mentor Elevate engineering practices across Analytics, Data, and Engineering teams Conduct architecture reviews and build reusable frameworks Share expertise through documentation, templates, and hands-on guidance What We Look For 10+ years of experience in data engineering or related fields, with proven experience owning platform-level architecture and strategy. Deep expertise in Snowflake, dbt Cloud, Change Data Capture frameworks, orchestration tools (Airflow, dbt Cloud), and reverse ETL. Strong background in external data sharing and partner integrations, including Snowflake data shares, S3/SFTP pipelines, and Marketplace listings. Proven ability to design and implement data governance and observability systems, including data contracts, lineage tracking, anomaly detection, and automated monitoring. Strong engineering skills in SQL and Python, emphasizing testing, CI/CD, and maintainability in complex data systems. Reputation as a mentor and technical authority who elevates the technical quality and rigor of peers and teams. Exceptional communication skills and the ability to influence technical and business leadership across multiple departments. Perks & Benefits Competitive compensation and equity packages Leading configured work computers of your choice Flexible paid time off Fully covered, high-quality healthcare, including fully covered dependent coverage Additional health coverage includes access to One Medical and the option to enroll in an FSA 16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents Access to industry-leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let's move the world forward, together. #J-18808-Ljbffr

A leading FinTech company in San Francisco is seeking a Staff Data Engineer to architect a next-generation data platform, optimize systems, and mentor teams. The ideal candidate has over 10 years of experience in data engineering, deep expertise in Snowflake and dbt Cloud, and strong skills in SQL and Python. Join us to shape the future of co-branded financial products while working in a dynamic, inclusive environment. #J-18808-Ljbffr

A cutting-edge data analytics firm in San Francisco is seeking a full-stack engineer to enhance user experiences and integrate AI tools within their platform. You will work on innovative projects that shape data interactions, collaborate with teams on product initiatives, and tackle UX challenges. Ideal candidates should possess 3+ years of software engineering experience, proficiency in React and Typescript, and a strong desire to work in AI development. This position offers a competitive salary and benefits, with a hybrid work model. #J-18808-Ljbffr