Devops engineer jobs in Cranston, RI - 2,168 jobs

A leading quantum technology firm in Boston seeks a Senior Field Application Engineer to lead the integration of quantum error correction systems. The ideal candidate will have strong embedded software skills and customer-facing experience, supporting installations across North America. The role requires travel and collaboration with engineering teams to ensure successful deployment and optimization of complex systems. #J-18808-Ljbffr

Clearance Level: Secret, TS/SCI Eligible US Citizenship: Required Job Classification: Full Time Years of Experience: 7-10 years of relevant experience Education Level: BS Degree - Experience may be considered in place of education requirement. Summary Sustains AFMSTT and C2SET legacy baselines; ensures uninterrupted training/simulation/ stimulation support; manages legacy CR/DRs and supports transition to modernized systems. Responsibilities Sustain/maintain legacy systems, models, and interfaces. Ensures legacy operational sustainment of all operational training, simulation and simulation artifacts Provide CR/DR changes, urgent exercise support, GitLab updates, OS/fielding changes. Design and integrate legacy ASCCE and federation fielding. Support transition engineering for attributes marked for modernization. Qualifications Relevant AFMSTT/C2SET sustainment experience. Experience with AWS/Azure and RESTful architecture. 2+ years military planning/operations/wargaming. 2+ years AOC simulation training. Requirements Clearance: U.S. citizen; Secret clearance at award, TS/SCI eligibility may be required. Travel: Must support CONUS/OCONUS travel to sustainment and exercise sites. Cybersecurity/Compliance: Handle classified/CUI/CDI IAW DoD and NIST standards; remediate vulnerabilities on required timelines. Global InfoTek Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or based on disability. About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades. #J-18808-Ljbffr

Position Description: Primary Responsibilities: Education and Experience: Bachelor's degree in Mathematical Finance and Financial Technology, Engineering, Statistics, Mathematics, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Quantitative Developer (or closely related occupation) developing software solutions (risk management, portfolio construction, performance analysis, or alpha research) in a financial services environment, using Python, Python data libraries, or Relevel concepts. Or, alternatively, Master's degree in Mathematical Finance and Financial Technology, Engineering, Statistics, Mathematics, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Senior Quantitative Developer (or closely related occupation) developing software solutions (risk management, portfolio construction, performance analysis, or alpha research) in a financial services environment, using Python, Python data libraries, or Relevel concepts. Skills and Knowledge: #J-18808-Ljbffr

A robotic automation company is looking for a Machine Learning Engineer to develop scene understanding models and optimize model deployment. This position emphasizes using AI and MLOps to automate warehouse processes and improve robot performance. Candidates should have 3+ years in Machine Learning, strong Python skills, and experience with tools like TensorRT and ONNX. The salary ranges from $130,000 to $160,000, reflecting our commitment to transparency in compensation. #J-18808-Ljbffr

• Data Pipeline Development: Design, implement, and maintain robust, scalable, and efficient data pipelines using Jenkins for automated data extraction, transformation, and loading (ETL) processes. • Relational Database Management: Manage and optimize relational databases (e.g., MySQL, PostgreSQL) to ensure data integrity, availability, and performance for diverse applications and analytical purposes. • API Integration: Collaborate with software developers to integrate data from various sources through APIs, ensuring seamless data flow between systems and applications. • Data Modeling and Architecture: Create and maintain data models and data architecture to support analytics and reporting needs, ensuring data consistency and proper documentation. • Data Analysis and Insights: Utilize Python and RDS to perform advanced data analysis, interpret complex data sets, and deliver actionable insights to key stakeholders and decision-makers. • Performance Optimization: Identify and resolve performance bottlenecks within data pipelines, databases, and queries to improve system efficiency and response times. • Data Quality Assurance: Implement data quality checks and validation processes to ensure the accuracy and reliability of data throughout the data ecosystem. • Data Security and Compliance: Maintain data security standards and compliance with data protection regulations, implementing necessary measures to safeguard sensitive information. • Collaboration and Communication: Work closely with cross-functional teams, including data scientists, business analysts, and IT, to understand data requirements, develop solutions, and present findings effectively. Skills: • Bachelor's degree or relevant experience in Computer Science, Data Science, Information Technology, or a related field. An advanced degree/experience is preferred. • Proven experience as a Data Engineer, Data Analyst, or a related role with a strong technical background in Jenkins, Relational Databases, APIs, Python, and RDS. • Solid understanding of data modeling, database design principles, and data warehousing concepts. • Proficiency in programming languages like Python, SQL, and RDS for data manipulation, analysis, and automation tasks. • Familiarity with cloud-based technologies, such as AWS, GCP, or Azure, and the ability to leverage cloud services for data management. • Experience with Jenkins for automated build, test, and deployment processes. • Strong problem-solving skills and the ability to troubleshoot data-related issues efficiently. • Excellent communication and collaboration skills to work effectively in a team-oriented environment. • A passion for data-driven decision-making and a keen eye for detail. • Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus. Cyber Security: • The client is looking for data-security experience within data engineering, not a traditional cybersecurity role. • They want someone who has secured cloud-based ETL pipelines, handled IAM/RBAC, protected data in S3 and RDS, secured Jenkins pipelines, and implemented encryption, access controls, and basic compliance practices as part of their data engineering work. EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

asset-management, technology, Data & BI Perm Hybrid The Role This is a senior data engineering role embedded within a trading-focused environment, supporting execution, operations research, and quantitative trading teams. You'll help build and maintain the data platform that underpins trading analytics across multiple asset classes. The work is practical and production-oriented - ensuring data is reliable, accessible, and fit for purpose in time-sensitive trading workflows. This role suits someone who enjoys working close to trading and research teams while owning core data infrastructure. What You'll Be Working On Designing and maintaining scalable data pipelines from multiple sources Improving reliability and monitoring of data ingestion processes Transforming raw data into analytics-ready datasets Automating data and analytics workflows where possible Implementing data quality checks and pipeline observability Partnering with quantitative trading teams to enhance platform performance Supporting data used across execution, operations, and research What They're Looking For Strong experience in data engineering or data-intensive environments Hands-on programming experience in Python or similar languages Experience working with high-volume, structured and unstructured datasets Understanding of data quality, monitoring, and automation concepts Exposure to trading data, market structure, or transaction cost analysis is a plus Comfortable working independently and owning initiatives Clear communicator who works well with technical and non-technical partners Background Degree in computer science, engineering, or a related technical discipline Several years of relevant industry experience Track record of improving data platforms in production environments Why This Role Direct alignment with trading and execution teams Ownership over data used in live decision-making Opportunity to improve systems that operate at scale Hybrid working within a collaborative, research-driven culture Apply for this position Full Name Email Phone Linkedin Upload CV/Resume Maximum allowed file size is 8 MB. Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. #J-18808-Ljbffr

We're partnering with an innovative healthcare organization to find a Senior Data Engineer who's passionate about building scalable data platforms that support meaningful, real-world impact in healthcare. This is a hybrid role based in Boston, offering the opportunity to work with modern cloud technologies while contributing to solutions that improve patient outcomes and operational efficiency. What You'll Be Doing Design, build, and maintain scalable data pipelines and data warehouses Work extensively within the Microsoft Azure ecosystem, including Databricks Integrate and manage data from EPR/EMR and CRM systems Collaborate with cross-functional teams to support analytics, reporting, and data science initiatives Ensure data quality, reliability, and performance across platforms Implement and support DevOps and CI/CD pipelines for data engineering workflows What We're Looking For Senior-level experience as a Data Engineer Strong hands-on experience with Azure, Databricks, and cloud-based data architectures Proven experience integrating data from EPR/EMR and CRM systems Advanced SQL and Python skills Experience designing and building enterprise data warehouses Familiarity with DevOps practices and CI/CD pipelines Experience in healthcare or regulated environments is a strong plus Why This Role? Join a company focused on innovative healthcare solutions Work on impactful projects that truly make a difference Collaborative, forward-thinking engineering culture Hybrid flexibility with a Boston-based team Interested or know someone who'd be a great fit? Reach out to me directly or apply here to learn more about this exciting opportunity.

The Data Governance Engineer plays a pivotal role in ensuring the integrity, quality, and security of organizational data assets. This position will collaborate with various teams across the organization to establish and enforce data governance policies, standards, and procedures. Responsibilities include identifying data quality issues, implementing data governance frameworks, and driving initiatives to improve data management practices. This role requires a strong understanding of data governance principles, excellent analytical skills, and the ability to communicate effectively with stakeholders at all levels. Duties and Responsibilities: Responsibilities include, but are not limited to: Design, implement, and maintain data governance frameworks, policies, and procedures to ensure compliance with regulatory requirements and organizational standards. Monitor and assess data quality issues, establish data quality metrics, and develop strategies to improve data accuracy, completeness, and consistency. Classify data assets based on sensitivity and criticality, establish metadata standards, and implement metadata management processes to enhance data discoverability and usability. Collaborate with cross-functional teams, including IT, legal, compliance, and business units, to define data governance requirements, resolve data-related issues, and promote a culture of data stewardship. Ensure compliance with data privacy regulations (e.g., HIPAA) by implementing data access controls, encryption mechanisms, and data anonymization techniques to protect sensitive information. Evaluate, select, and implement data governance tools and technologies to support data governance initiatives, such as data cataloging, data lineage, and data quality monitoring. Generate and distribute regular reports on data governance activities, including data quality assessments, compliance audits, and remediation efforts, to senior management and stakeholders. Identify opportunities for process improvement, automation, and optimization of data governance workflows to enhance efficiency and effectiveness. Other duties as assigned by Manager Corporate Compliance Responsibility - As an essential function, responsible for complying with Neighborhood's Corporate Compliance Program, Standards of Business Conduct, applicable contracts, laws, rules and regulations, policies, and procedures as it applies to individual job duties, the department, and the Company. This position must exercise due diligence to prevent, detect, and report unlawful and/or unethical conduct by fellow co-workers, professional affiliates and/or agents. Qualifications Qualifications Required: Bachelor's degree in computer science, information technology, data management, or a related study, or equivalent combination of education and relevant work experience Minimum of three (3) years of experience in data governance, data management, or related fields, with a deep understanding of data governance principles, practices, and methodologies Strong analytical skills with the ability to analyze complex data sets, identify trends, and recommend solutions to improve data quality and governance Proficiency in data governance tools and technologies, such as data cataloging tools, metadata management platforms, and data quality tools (e.g., Spirion, MS Purview) Excellent communication skills with the ability to effectively collaborate with stakeholders at all levels, translate technical concepts into business terms, and influence decision-making processes Knowledge of data privacy regulations (e.g., HIPAA) and experience implementing data privacy and security controls Excellent communication skills Strong attention to detail, organizational skills, analytical and problem-solving skills and ability to manage multiple priorities in a fast-paced environment Preferred: Experience working in regulated industries (e.g., healthcare) with a focus on data governance and compliance. Familiarity with data management best practices, data modeling techniques, and data architecture principles. Neighborhood Health Plan of Rhode Island is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

The Data Platform Engineering team supports CI/CD and infrastructure for our integrated Data Fabric platform. This Data Fabric is a strategic core asset underpinning the operational success of our Firm. The Data Platform Engineer will design and implement efficient procedures and pipelines for software development and infrastructure deployment, manage and deploy various key data systems and services. The Data Platform Engineer will work with cloud engineers, data engineers, system administrators, data administrators and architects to find opportunities to leverage DevOps technologies to process large volumes of data. The Data Platform Engineer will implement CI/CD workflows for Infrastructure as Code (IaC) and automated deployments. This role requires a motivated individual with strong technical ability, data capability, excellent communication, and collaboration skills including the ability to develop and troubleshoot a diverse range of problems. Responsibilities * Implement continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline) for data infrastructure using Terraform and GitHub Actions. * Implement and deploy GitHub Actions tools and workflows. * Implement various development, testing, automation, and data infrastructure tools QUALIFICATIONS * Bachelor's degree in computer science or engineering * Minimum of 10 years of experience in DevOps engineering * Git version control * Minimum of 5 years of experience with GitHub Actions * Minimum of 5 years of experience with Terraform * Minimum of 5 years of AWS Cloud experience that includes: Lambda, EC2, and VPC * Experience with big data platforms such as Amazon Redshift, Snowflake, Apache Iceberg, Apache Spark, AWS Glue, RDS * Experience with containers: Docker, Amazon ECS, and/or Kubernetes * Experience with data engineering, data analysis, and/or ETL * Experience with programming languages such as Python * Experience with OS-level scripting languages such as Bash and PowerShell * Experience with use of advanced features of AI tools: ChatGPT, custom GPTs, and/or other models such as Claude Sonnet Work from GAFG / KKR Boston office - 4 days a week.

- Engages in Developing and implementing DevOps tools, processes, workflows and solutions. - Engages in developing proof of concepts (POCs) for new programs and conducts peer code reviews, define reasonable assumptions and lead the solution estimation process by working collaboratively with technical sales team. - -Provide support for software engineers working with agile methodologies, working within the software development team and across collaborating teams to coordinate services and support. - -Prepare environments, tools and methods for Continuous Delivery and integration through the software development lifecycle (SDLC) - -Attend problem solving meetings with clients and internal managers - -Sharing knowledge across DevOps, Development, Testing and Infrastructure teams - -Contribute to and collaborate with the CD and DevOps practices to share best practice and develop the client's capability - -Write deployment automation scripts - -Write/Build automation scripts - -Monitor DevOps Tools and Processes Qualifications Must haves: Bachelor's Degree in Computer Science or a related field Strong experience with Continuous Integration and Deployment Strong experience with Selenium and/or Jenkins (though Bamboo or a similar tool is also acceptable) Strong scripting skills with Python or Shell Scripting (Powershell or Perl would also be acceptable) Experience with Git for Version Control (SVN is also acceptable) Knowledge of HP ALM Suite Unit testing experience (ideally with JUnit but could also be NUnit or MSUnit) 8-10 years of overall professional experience Automation tool experience (Puppet, Chef and/or Ansible) Additional Information I would love to talk to you if you think this position suits your interest. If you are looking for rewarding employment and a company that puts its employees first, we would like to work with you. We also offer group health insurance. NOTE: “Candidates that are offered a position are required to pass pre-employment drug and background screening”

**Our Purpose** _Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build_ _a sustainable economy_ _where everyone can prosper. We support a wide range of digital payments choices, making_ _transactions secure,_ _simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ **Title and Summary** Lead AI/DevOps Engineer Job Description: Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview: The LLM as a Service team is looking for a Lead AI/DevOps Engineer to drive our customer experience strategy forward by consistently innovating and problem-solving. The ideal candidate is passionate about the customer experience journey, highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset. The Role: - Lead DevOps initiatives in on-prem environments. - Design, deploy, and manage scalable AI infrastructure using Kubernetes for reliable orchestration of large language models and related services. - Develop proof-of-concept solutions for advanced AI use cases, including model context protocols (MCPs), LLMs, retrieval-augmented generation (RAG), and agentic workflows. - Partner with security and governance teams to ensure AI solutions comply with enterprise policies, regulatory standards, and privacy best practices. - Collaborate with infrastructure and platform teams to optimize cloud resources for scalable, efficient, and cost-effective AI workloads. - Work directly with customer teams to gather requirements, deliver innovative solutions, and provide ongoing technical support throughout the AI product lifecycle. All About You: - Proficient in DevOps tools such as Splunk, Dynatrace, Grafana, Prometheus, OpenShift Kubernetes, Docker, and Helm. - Strong hands-on experience with Python; GoLang is a plus. - Customer-focused mindset with a commitment to delivering simple, valuable solutions. - Driven by a clear mission to prioritize customer needs. - Continuously monitor market trends and competitors to inform strategy. - Proactively engage with customers to understand their challenges and identify impactful solutions. - Seek complementary products or services to enhance customer outcomes. - Identify resource gaps and propose sustainable, team-benefiting solutions. - Communicate technical concepts clearly and concisely. - Confident and precise communicator, capable of articulating vision and strategy to diverse stakeholders. - Solution-oriented approach to problem-solving. \#AI1 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. **Corporate Security Responsibility** All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: + Abide by Mastercard's security policies and practices; + Ensure the confidentiality and integrity of the information being accessed; + Report any suspected information security violation or breach, and + Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. **Pay Ranges** New York City, New York: $168,000 - $277,000 USD Arlington, Virginia: $161,000 - $266,000 USD Boston, Massachusetts: $161,000 - $266,000 USD O'Fallon, Missouri: $140,000 - $231,000 USD Remote - California: $140,000 - $231,000 USD Remote - New York: $140,000 - $231,000 USD San Francisco, California: $168,000 - $277,000 USD **Job Posting Window** Applications for this job posting will be accepted on an ongoing basis.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team Our dedicated team is building the future of Cisco's AI-driven platforms and data infrastructure, driving innovation across the globe. You will join teams focused on developing advanced data pipelines, machine learning infrastructure, and analytics platforms for business-critical initiatives. As part of this collaborative environment, you will contribute to the advancement of emerging technologies in data and intelligent systems, specifically focusing on leveraging Agentic AI to streamline operational workflows. Explore the opportunities at the intersection of backend engineering and AI, helping to transform how Cisco and its customers harness information and intelligent automation. Your Impact As a passionate software engineer, you will contribute to critical initiatives aimed at improving operational efficiency and accelerating decision-making through the application of Agentic AI. You will have the opportunity to develop and implement innovative solutions that process and analyze diverse data sources, helping to automate workflows and provide valuable insights. Your foundational programming skills and enthusiasm for AI will enable you to solve complex challenges, empowering Cisco's business groups to leverage data-driven intelligence for operational excellence and strategic growth. Your contributions will help ensure high-quality, reliable platforms that support Cisco's leadership in intelligent, scalable technology solutions. Minimum Qualifications Currently enrolled in an undergraduate degree program with 2 years of relevant experience, or currently enrolled in a graduate degree program with 0 years of relevant experience. Relevant fields include: e.g., Computer Science, Software Engineering, Data Science, or a related technical field). Proficiency in at least one programming language (e.g., Python, Java, C++, Go). Strong understanding of fundamental programming concepts, data structures, and algorithms. Exposure to collaboration and development tools like Confluence, JIRA, Jenkins, or GitHub. Preferred Qualifications Conceptual understanding of AI/ML, particularly Agentic AI principles. Experience with web scraping or interacting with REST APIs. Familiarity with Linux operating systems. Familiarity with automation and software testing frameworks (e.g., py Test). Basic understanding of CI/CD pipelines. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

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 through a deeper understanding of their bodies and daily lives. Protecting our members' data and ensuring our systems scale securely and reliably is core to this mission. WHOOP is hiring a Software Engineer II focused on backend development to build and enhance systems that power our platform. This role will directly contribute to delivering scalable and secure services that support millions of members worldwide. While backend development expertise is the primary focus, familiarity with cybersecurity concepts (data privacy, AuthN/AuthZ, etc) or cloud infrastructure concepts (AWS, IaC, Kubernetes, etc) will be considered a strong plus. This is a top-funnel role: depending on your background and interests, you may align more closely with our Product Security team (focused on secure-by-default guardrails, compliance, and data privacy) or our Application Infrastructure team (focused on scalability, reliability, and developer enablement). Either way, you'll have the opportunity to shape core platform practices and help WHOOP grow to the next level. RESPONSIBILITIES: * Design, develop, and maintain robust, scalable backend systems that power WHOOP's core infrastructure and member experience. * Collaborate with product managers, data engineers, frontend developers, and other cross-functional partners to deliver features that enhance member engagement. * Build and maintain APIs to enable seamless integration with frontend applications and third-party services. * Ensure system reliability, scalability, and performance through effective testing, monitoring, and optimization. * Implement secure coding practices and contribute to designing systems that safeguard member data. * Stay current with backend technologies and contribute to improving team engineering standards and best practices. QUALIFICATIONS: * 2-4 years of backend software development experience, ideally in languages like Java, Python, or C#. * Experience designing and building RESTful APIs and microservices. * Exposure to event-driven architecture (messaging/streaming tech such as Kafka, RabbitMQ). * Familiarity with database design and management (e.g., PostgreSQL, MySQL, or NoSQL databases). * Understanding of cloud infrastructure (AWS, GCP, or Azure). * Familiarity with cybersecurity principles (data privacy, authentication, and authorization) is a plus but not required. * Strong problem-solving skills and ability to work in a fast-paced environment. * Good communication skills and ability to collaborate across teams. BONUS QUALIFICATIONS: * Experience working with infrastructure as code and developer enablement platforms. * Familiarity with containers and orchestration (e.g., Docker, Kubernetes). * Background in cloud security or incident response. * Exposure to building translation or localization platforms to support multi-language content delivery. * Hands-on experience with observability tools (logging, monitoring, alerting) in production environments. ABOUT YOU * You thrive on ownership and want to shape the foundation of WHOOP's platform. * You automate everything you can, always seeking to replace manual work with scalable tooling. * You enjoy working cross-functionally and can communicate complex infrastructure and security topics clearly. * You believe reliability, security, and visibility are just as important as speed and scale. Learn more about our engineering teams 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 $125,000 - $170,000. 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.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny. At Klaviyo, we love tackling tough engineering problems and look for engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last. Team Overview: Klaviyo operates a real-time and offline data analytics platform that is built for massive scale and hosted on Amazon Web Services (AWS). The DataLake team ingest billions of data points per day to power core, Klaviyo functionality and generate data-driven insights. These interactions are ingested from disparate sources, persisted into the Data Lake, materialized into analytical storage, and used to power AI models. As an Engineer on the Data Lake Team, you will have ownership over defining the evolutionary, technical vision for our large-scale data processing systems. You will be responsible for designing, implementing, and optimizing mission-critical data pipelines and storage solutions, leveraging technologies like EMR, Spark, and Flink. You'll work on ensuring scalability, performance, and reliability while mentoring team members and driving technical excellence. Please note: this role is based in Boston, MA and requires a hybrid, in-office component. Team Tech Stack: Python (Node or Java) Apache Spark, Apache Flink Airflow Kafka, Apache Pulsar MySQL Kubernetes AWS (including EMR, S3, Redshift) How You'll Make a Difference Implement scalable, fault-tolerant data pipelines using distributed processing frameworks like Apache Spark and Flink on AWS EMR, optimizing for throughput and latency Design batch and real-time, event-driven data workflows to process billions of data points daily, leveraging streaming technologies like Kafka and Flink. - Optimize distributed compute clusters and storage systems (e.g., S3, HDFS) to handle petabyte-scale datasets efficiently, ensuring resource efficiency and cost-effectiveness. Develop robust failure recovery mechanisms, including checkpointing, replication, and automated failover, to ensure high availability in distributed environments Optimize data storage and processing systems to handle petabyte-scale datasets efficiently, ensuring performance and cost-effectiveness. Collaborate with cross-functional teams to deliver actionable datasets that power analytics and AI capabilities. Implement data governance policies and security measures to maintain data quality and compliance. Own the technical direction of highly visible data systems, improving monitoring, failure recovery, and performance. Mentor engineers, review technical documentation, and articulate phased approaches to achieving the team's technical vision. Contribute to the evolution of internal data processing tools and frameworks, enhancing their scalability and usability Must Have: 4+ years of experience in software development, with at least 2 years focused on data engineering and distributed systems. Hands on with Python and SQL, with experience in backend development. Experience with distributed data processing frameworks such as Apache Spark and Flink. Proven track record of designing and implementing scalable ETL/ELT pipelines, ideally using AWS services like EMR. Strong knowledge of cloud platforms, particularly AWS (e.g., EMR, S3, Redshift), and optimizing data workflows in the cloud. Experience with data pipeline orchestration tools like Airflow. Familiarity with real-time data streaming technologies such as Kafka or Pulsar. Understanding of data modeling, database design, and data governance best practices. Excellent problem-solving skills and the ability to thrive in a fast-paced, collaborative environment. Strong communication skills with experience mentoring or leading engineering teams. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: 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. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$120,000-$180,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators-ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Company DescriptionJobs for Humanity is partnering with FIS to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located. Company Name: FIS Position Type : Full time Type Of Hire : Experienced (relevant combo of work and education) Education Desired : Bachelor of Computer Engineering Travel Percentage : 0% We are FIS. Our technology powers the world's economy and our teams bring innovation to life. We champion diversity to deliver the best products and solutions for our colleagues, clients and communities. If you're ready to start learning, growing and making an impact with a career in fintech, we'd like to know: Are you FIS? About the role: As a Cloud Software Engineer you could work with bleeding edge technology as you build innovative fintech products that change the way the world pays, banks and invests. This will involve developing core versions of software applications, identifying client requirements and technical specifications, interacting with engineering groups and training clients on applications. What you will be doing: • Designing, programming, debugging and modifying software enhancements. • Interacting with product managers and users to define requirements and modifications. • Participating in software design meetings to determine technical requirements. • Working with internal Client Training, Client Relationship and Sales teams. What you will need: • Experience with end-to-end AWS Cloud systems development life cycles and standards. • Knowledge of financial industry practices, regulations and operations. • Fluency in sequence diagrams, class models, etc. • Proficiency in solutions design and requirements definition disciplines. • A bachelor's in computer engineering, computer science or other related discipline or equivalent experience. BONUS: RHEL/Linux/Unix Scrum SAFe Continuous Integration Continuous Delivery Docker, Kubernetes VMWare ESX Terraform, Packer, Puppet Microservice deployment or development What we offer you: A career at FIS is more than just a job. It's the change to shape the future of fintech. At FIS, we offer you: • A voice in the future of fintech • Always-on learning and development • Collaborative work environment • Opportunities to give back • Competitive salary and benefits . Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice. EEOC Statement FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass

About the Job The Software Engineer II, Computational Biology (WebApps Team) primarily develops web applications and rest endpoints that organize and display data from a highly concurrent, data-intensive pipeline infrastructure. This position completes design, development, unit testing, code reviews and technical documentation. Code created in this position is to be reusable, testable, efficient, clean and well commented. This full stack engineer fully understands the web applications and services space, makes well-reasoned decisions, well-reasoned trade-offs, and is able to work in other parts of the codebase with guidance. Key Responsibilities Help define and participate in software development processes that leverages best practice and supports continuous product delivery. Create custom programs and applications as designated by business need. Write, test, and refactor code that is reusable, testable, efficient, well architected, and well commented. Define and document architecture and formal technical specifications based upon information provided. Maintain efforts for product or platform to be resilient, cloud-native, secure, and scalable. Collaborate with team members to deliver complex production-ready projects. Ensure code adheres to patterns and any established standards. Participate in regular peer design and code reviews. Conform to coding conventions and all aspects of the software development life cycle. Deliver contributions in an Agile approach and leveraging Agile methodology. Other duties as assigned. Qualifications: Basic Qualifications: Bachelor's Degree 2+ years of Software Engineering experience Preferred Qualifications: Proficiency in Java and JavaScript Java Spring, Hibernate, Maven, or similar frameworks React, or similar UI framework AWS or similar cloud computing platform Unit and Integration testing Git, or another version control system Relational databases, database design, object-relational mapping (ORM) SQL and query tuning Knowledgeable about Unix or Unix-like operating systems Enterprise distributed messaging systems Genomics domain experience Familiarity with continuous integration, continuous deployment, and Agile concepts Understanding of HIPAA, the importance of patient data privacy, and of regulated software engineering environments Commitment to reflect Foundation Medicine's values: Integrity, Courage, Passion The expected salary range for this position based on the primary location of Boston, MA is $114,080 - $140,000 per year. The salary range is commensurate with Foundation Medicine's compensation practice and considers factors including, but not limited to, education, training, experience, external market conditions, criticality of role, and internal equity. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for Foundation Medicine's benefits. #LI-Hybrid

A financial services firm is seeking a Senior Quantitative Developer in Boston, MA. The ideal candidate will hold a Bachelor's or Master's degree in a relevant field and possess strong Python and data library skills. Responsibilities include developing software solutions for risk management, portfolio construction, and performance analysis. The role requires either 3 years of experience with a Bachelor's degree or 1 year with a Master's degree. Competitive compensation and the opportunity to work in a dynamic environment are offered. #J-18808-Ljbffr

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device tracks key physiological metrics such as heart rate variability, resting heart rate, and sleep quality to provide personalized insights into users' fitness, health, and recovery. As a Software Engineer I (Backend) in the Healthcare group, you will help build and maintain exciting features that drive real health outcomes and connect members to our powerful data science algorithms through beautiful visualizations. You will help our members understand all aspects of their health: physical, mental, emotional, hormonal and guide them in ways to take action to improve it. Healthcare works with cutting-edge technology and research in both the medical and wellness industry, ranging from launching medical devices such as ECG, to expanding into the clinical space with Advanced Labs, to developing novel measurements and insights like WHOOP Age and Menstrual Cycle Insights. RESPONSIBILITIES: * Develop and maintain backend services using Java, Kafka, Postgres, and AWS * Collaborate with cross-functional teams including product, data science, and software engineering to deliver key features * Contribute to new feature ideation, planning, and development * Write clean, testable, and maintainable code * Participate in code reviews, technical discussions, and sprint planning * Continuously learn and grow within WHOOP's engineering environment QUALIFICATIONS: * Some experience or strong academic background in backend development (Java preferred) * Basic familiarity with RESTful APIs and relational databases (e.g., Postgres) * Interest in asynchronous processing systems (e.g., Kafka, SQS) is a plus * Strong desire to learn, grow, and contribute to a fast-paced engineering team * Effective communicator and enthusiastic team player who thrives on continuous learning and direct feedback. * Comfortable adapting and iterating in a dynamic, evolving environment. * Eager and willing to learn and grow rapidly with AI and AI tools. This posting is for an immediate new hire to our team. For those graduating in the spring of 2026 seeking entry level roles, we kindly ask that you check out this New Grad Opportunities job posting instead to be considered for roles opening at that time. Thank you. 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 $105,000 - 135,000. 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.

Job DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device tracks key physiological metrics such as heart rate variability, resting heart rate, and sleep quality to provide personalized insights into users' fitness, health, and recovery. As a Software Engineer I (Backend) in the Healthcare group, you will help build and maintain exciting features that drive real health outcomes and connect members to our powerful data science algorithms through beautiful visualizations. You will help our members understand all aspects of their health: physical, mental, emotional, hormonal and guide them in ways to take action to improve it. Healthcare works with cutting-edge technology and research in both the medical and wellness industry, ranging from launching medical devices such as ECG, to expanding into the clinical space with Advanced Labs, to developing novel measurements and insights like WHOOP Age and Menstrual Cycle Insights.RESPONSIBILITIES: Develop and maintain backend services using Java, Kafka, Postgres, and AWS Collaborate with cross-functional teams including product, data science, and software engineering to deliver key features Contribute to new feature ideation, planning, and development Write clean, testable, and maintainable code Participate in code reviews, technical discussions, and sprint planning Continuously learn and grow within WHOOP's engineering environment QUALIFICATIONS: Some experience or strong academic background in backend development (Java preferred) Basic familiarity with RESTful APIs and relational databases (e.g., Postgres) Interest in asynchronous processing systems (e.g., Kafka, SQS) is a plus Strong desire to learn, grow, and contribute to a fast-paced engineering team Effective communicator and enthusiastic team player who thrives on continuous learning and direct feedback. Comfortable adapting and iterating in a dynamic, evolving environment. Eager and willing to learn and grow rapidly with AI and AI tools. This posting is for an immediate new hire to our team. For those graduating in the spring of 2026 seeking entry level roles, we kindly ask that you check out this New Grad Opportunities job posting instead to be considered for roles opening at that time. Thank you. 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 $105,000 - 135,000. 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.