Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for a Senior Software Engineer Mission Systems Software Developer (Level 5) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. This position will include developing software and software tests throughout all phases of the software development life cycle (requirements, architecture, implementation, and verification). The software engineer will develop software in a Continuous Integration / Continuous Deployment (CI/CD) DevSecOps software build pipeline using an agile methodology focused on code quality, security and automation. Position Responsibilities: Develop Participates in use case development of software requirements Ability to lead activities to develop, document and maintain software architecture, requirements, algorithms, interfaces and designs for mission systems software Leads development of code and integration of complex Mission Systems software components into a fully functional software system Provides technical leadership for software projects and leads less experienced software engineers Acts as an independent set of eyes and ears for Program Managers and the customer, highlighting potential best practices on the team, as well as areas for improvement Actively participates in program activities, from initial proposal and planning to delivery Supports the identification and analysis of program/project software quality metrics to improve software quality and manage risk Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Ability to acquire a U.S. Secret Security Clearance (Post-Start) 10 years of experience with full life-cycle software development, modeling, simulation, testing, and/or analysis using C, C++, C#, Python, Java, Ada, and/or Linux 10 years of experience with version control systems such as Git, ClearCase, or Subversion Preferred Qualifications (Desired Skills/Experience): 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Computer Science or other technical degree Strong decision-making skills and the ability to work independently but also lead and guide smaller teams of less experienced software engineers. Team leadership experience Software development experience in a collaborative team environment using agile principles and a structured development process including code reviews and automated DevOps processes/tools Experience using team collaboration tools including Git, Bitbucket, JIRA, and Confluence Experience in software development using languages such as C, C++, Java, Ada, and/or Python Experience working on an Agile team in a collaborative environment Travel: May be required up to 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $184,450 - $249,550 Applications for this position will be accepted until Oct. 27, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
09/23/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for a Senior Software Engineer Mission Systems Software Developer (Level 5) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. This position will include developing software and software tests throughout all phases of the software development life cycle (requirements, architecture, implementation, and verification). The software engineer will develop software in a Continuous Integration / Continuous Deployment (CI/CD) DevSecOps software build pipeline using an agile methodology focused on code quality, security and automation. Position Responsibilities: Develop Participates in use case development of software requirements Ability to lead activities to develop, document and maintain software architecture, requirements, algorithms, interfaces and designs for mission systems software Leads development of code and integration of complex Mission Systems software components into a fully functional software system Provides technical leadership for software projects and leads less experienced software engineers Acts as an independent set of eyes and ears for Program Managers and the customer, highlighting potential best practices on the team, as well as areas for improvement Actively participates in program activities, from initial proposal and planning to delivery Supports the identification and analysis of program/project software quality metrics to improve software quality and manage risk Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Ability to acquire a U.S. Secret Security Clearance (Post-Start) 10 years of experience with full life-cycle software development, modeling, simulation, testing, and/or analysis using C, C++, C#, Python, Java, Ada, and/or Linux 10 years of experience with version control systems such as Git, ClearCase, or Subversion Preferred Qualifications (Desired Skills/Experience): 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Computer Science or other technical degree Strong decision-making skills and the ability to work independently but also lead and guide smaller teams of less experienced software engineers. Team leadership experience Software development experience in a collaborative team environment using agile principles and a structured development process including code reviews and automated DevOps processes/tools Experience using team collaboration tools including Git, Bitbucket, JIRA, and Confluence Experience in software development using languages such as C, C++, Java, Ada, and/or Python Experience working on an Agile team in a collaborative environment Travel: May be required up to 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $184,450 - $249,550 Applications for this position will be accepted until Oct. 27, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like: SonarQube: The world's leading AI code review and verification platform. SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair. SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective. Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE: Committed to our customers and community. Obsessed with quality. Deliberate in our decisions. Effective as one team. With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you're hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you. Gitar.ai is an AI-native code review platform that uses AI agents to support pull request validation and CI workflows by reviewing code, diagnosing failures, proposing fixes, and adding tests and validations directly within existing development processes. Gitar automatically makes every change production-ready, approves and merges routine changes, involves humans only in exception cases, and learns from each exception to improve over time. In that model, humans oversee the end-to-end process rather than manually reviewing every change. Position description Sonar is looking for a passionate, seasoned product designer to join our Product Design team. You will fundamentally shape the experience of our (agentic and human) users as they build the software of the future. You'll help ensure that our developer and agent users write better code, navigate complex codebases, and leverage AI agents to accelerate large-scale code changes. In your product area, you will work closely with Product Management and Engineering teammates to ensure that the proposed solutions meet the expected outcome and that we collectively deliver the best products to help development teams write better and more secure code. You will also collaborate with other designers and researchers across the organization, ensuring consistency and contributing to best practices. What you will do Own and lead product design across your squad, setting design direction and raising the bar for craft, quality, and strategic thinking. Build for AI agents as first class users. You won't just be designing a compelling experience for human users, you will also ensure that the product works exceptionally well for our silicon-based users too! Integrate AI into every stage of your design workflow, leveraging it to accelerate research synthesis, automate repetitive tasks, and explore high-fidelity prototypes more efficiently. Listen to our users and customers to understand their needs. Develop a deep understanding of the SDLC and how we can enable developers and AI agents to produce better quality software. Work closely with other product designers to ensure a cohesive information architecture and a unified experience across the entire product platform. Align with your product manager on problem definition, providing design solutions throughout the end-to-end development stage. Partner with engineering teams early in the design process to vet technical feasibility and uncover edge cases. Mentor fellow designers through critique, pairing, and feedback - actively investing in the team's growth and raising collective craft. Shape and advance the Product Design team's processes, tools, and collaborative frameworks - not just contributing to them, but taking genuine ownership of their evolution. Have the opportunity to work and experiment daily with a variety of AI tools and models, doing real work. Experience and qualifications Experience organizing complex environments into logical structures and mapping user journeys that minimize friction. Demonstrated curiosity and practical experience using AI tools to accelerate research, ideation and design velocity. A self-starter mindset with the drive to identify UX gaps and propose structural improvements without being prompted. Ability to articulate design decisions and the "why" behind them to both technical and non-technical stakeholders. Comfort working in a cross-functional environment where feedback is shared openly and success is a team effort. Delivery mindset. Your role does not end when the design is handed off. Track record of driving design strategy and establishing patterns that scale beyond your immediate squad - influencing the broader product and design organization. Familiarity with software development workflows, the SDLC, or a background in computer science - you don't need to write production code, but you need to think alongside engineers who do. Experience designing AI workflows or agent-driven experiences is a strong plus, and will meaningfully shorten your onboarding ramp. Salary Range The US base salary range for this full-time position is $175,000 - $250,000 USD + other benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We value diversity, equity, and inclusion At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you need any accommodation, please reach out to us at . All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date. Applications that are submitted through agencies or third party recruiters will not be considered.
09/23/2026
Full time
Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like: SonarQube: The world's leading AI code review and verification platform. SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair. SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective. Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE: Committed to our customers and community. Obsessed with quality. Deliberate in our decisions. Effective as one team. With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you're hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you. Gitar.ai is an AI-native code review platform that uses AI agents to support pull request validation and CI workflows by reviewing code, diagnosing failures, proposing fixes, and adding tests and validations directly within existing development processes. Gitar automatically makes every change production-ready, approves and merges routine changes, involves humans only in exception cases, and learns from each exception to improve over time. In that model, humans oversee the end-to-end process rather than manually reviewing every change. Position description Sonar is looking for a passionate, seasoned product designer to join our Product Design team. You will fundamentally shape the experience of our (agentic and human) users as they build the software of the future. You'll help ensure that our developer and agent users write better code, navigate complex codebases, and leverage AI agents to accelerate large-scale code changes. In your product area, you will work closely with Product Management and Engineering teammates to ensure that the proposed solutions meet the expected outcome and that we collectively deliver the best products to help development teams write better and more secure code. You will also collaborate with other designers and researchers across the organization, ensuring consistency and contributing to best practices. What you will do Own and lead product design across your squad, setting design direction and raising the bar for craft, quality, and strategic thinking. Build for AI agents as first class users. You won't just be designing a compelling experience for human users, you will also ensure that the product works exceptionally well for our silicon-based users too! Integrate AI into every stage of your design workflow, leveraging it to accelerate research synthesis, automate repetitive tasks, and explore high-fidelity prototypes more efficiently. Listen to our users and customers to understand their needs. Develop a deep understanding of the SDLC and how we can enable developers and AI agents to produce better quality software. Work closely with other product designers to ensure a cohesive information architecture and a unified experience across the entire product platform. Align with your product manager on problem definition, providing design solutions throughout the end-to-end development stage. Partner with engineering teams early in the design process to vet technical feasibility and uncover edge cases. Mentor fellow designers through critique, pairing, and feedback - actively investing in the team's growth and raising collective craft. Shape and advance the Product Design team's processes, tools, and collaborative frameworks - not just contributing to them, but taking genuine ownership of their evolution. Have the opportunity to work and experiment daily with a variety of AI tools and models, doing real work. Experience and qualifications Experience organizing complex environments into logical structures and mapping user journeys that minimize friction. Demonstrated curiosity and practical experience using AI tools to accelerate research, ideation and design velocity. A self-starter mindset with the drive to identify UX gaps and propose structural improvements without being prompted. Ability to articulate design decisions and the "why" behind them to both technical and non-technical stakeholders. Comfort working in a cross-functional environment where feedback is shared openly and success is a team effort. Delivery mindset. Your role does not end when the design is handed off. Track record of driving design strategy and establishing patterns that scale beyond your immediate squad - influencing the broader product and design organization. Familiarity with software development workflows, the SDLC, or a background in computer science - you don't need to write production code, but you need to think alongside engineers who do. Experience designing AI workflows or agent-driven experiences is a strong plus, and will meaningfully shorten your onboarding ramp. Salary Range The US base salary range for this full-time position is $175,000 - $250,000 USD + other benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We value diversity, equity, and inclusion At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you need any accommodation, please reach out to us at . All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date. Applications that are submitted through agencies or third party recruiters will not be considered.
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details
09/23/2026
Full time
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details
Job Description Job Description Corner Alliance is a dynamic, growing consulting firm that devotes itself to providing an enriching employee experience while working in meaningful ways to create results for the government. We are currently seeking an Economic Data Analyst with 3-6 years of experience to join our growing team of economists and fully embrace our commitment to deliver, grow and thrive . Note: This role is a Full-Time, Temporary Position with Corner Alliance (through 12/31/26) About the Role: As an Economic Data Analyst actively engaging with federal clients, you will be trusted to provide rigorous, data-driven economic and policy analysis in support of broadband, spectrum, telecommunications, and infrastructure-related initiatives. You will work closely with senior economists and project teams to analyze large datasets, support economic and financial modeling, and translate analytical findings into clear, actionable insights for federal stakeholders. This role is ideal for someone with a deep understanding of and comfort level with federal data sources, who is passionate about applying numerical and statistical methods with rigor and integrity, and who enjoys applying quantitative analysis to real-world policy questions. Key Responsibilities include (but are not limited to): Conduct quantitative and qualitative economic analyses related to broadband deployment, spectrum use, telecommunications markets, and infrastructure investment Clean, manage, and analyze large datasets from federal, public, and commercial sources Support the development and execution of economic, financial, and scenario-based models (e.g., forecasting, impact analysis, cost-benefit analysis) Assist with program evaluation and performance measurement efforts, including identification and analysis of KPIs Contribute to technical memoranda, white papers, and analytic deliverables for federal audiences Develop slides, charts, and data visualizations to communicate findings to non-technical stakeholders Support senior staff in preparing briefings and materials for internal and external meetings Collaborate with cross-functional teams to meet project timelines and client expectations Participate in client meetings, working sessions, and strategy discussions as appropriate Carry out our Commitments to Deliver, Grow, and Thrive Location: You will work as part of a dynamic team remotely, with proximity to Washington, DC; Reston, VA; Arlington, VA; or Boulder, CO preferred. You may work at the client site dependent on contract requirements. Required Experience/Skills: Bachelor's degree in Economics, Public Policy, Data Science, Statistics, or a related field 3-6 years of professional experience, including experience in federal consulting or government contracting Demonstrated experience conducting data-driven analysis in a policy, regulatory, or government context Proficiency with data analysis tools such as Excel, Python, R, SQL, or similar Experience supporting economic, financial, or policy-related analyses Strong written and verbal communication skills, with the ability to clearly explain analytical findings to non-technical audiences Experience working with federal clients and producing client-ready deliverables U.S. citizenship or permanent residency and the ability to pass a public trust clearance or suitability determination Preferred Experience/Skills: Master's degree Experience with broadband, telecommunications, spectrum policy, infrastructure, or public finance Familiarity with economic modeling, forecasting, or program evaluation frameworks Experience working with large or complex datasets in a federal environment Experience developing briefing materials or slide decks for senior government stakeholders Comfort working in a fast-paced consulting environment with evolving priorities Don't think you have everything for this role but are still very interested? Please don't hold back from applying because you may not have it all. You can learn and grow with us. We're looking for someone who is coachable, unflappable in navigating challenges, resourceful in learning new skills, innovative in challenging the status quo, excellent in writing, analytical in thinking, skilled in prioritization, and a rapport builder with clients and colleagues. About Us: Corner Alliance offers a comprehensive and competitive benefits package for full-time employees including 401k matching (4%), PTO (3 weeks to start, 4 weeks (2-5 years) and 5 weeks (5 years+ , health, dental, vision, short- and long-term disability, FSA accounts, 4 weeks of paid parental leave, 11 paid holidays (including your birthday off), fitness & cell phone reimbursements, monthly all hands update meetings, annual in-person all hands team building day and evening out, regular check-ins for professional growth goals, semi-monthly one on one performance manager meetings, a social team that coordinates monthly events, use of technology like Slack to keep us connected and collaborative, and overall, a company culture dedicated to a highly engaged team. Corner Alliance is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability status, genetics, protected veteran status, or any other basis covered by applicable law. We are dedicated to building a talented workforce that reflects the strength of our society and our shared commitment to excellence. In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position with Corner Alliance please call or email . Corner Alliance participates in the E-verify program and will provide the Federal Government with Form I-9 information to confirm work authorization in the U.S. Visit us at to learn more. Securing Your Data: Beware of fake employment opportunities using Corner Alliance's name. Corner Alliance will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Corner Alliance ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Corner Alliance will only communicate with you through our ATS system JazzHR and/or emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Corner Alliance that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission . Salary: Approximate Salary Estimate: $90,000.00 - $110,000.00 annually The estimate displayed represents the typical salary range of candidates hired. Factors that may be used to determine your actual salary may include your specific skills, how many years of experience you have, and comparison to other employees already in this role. Powered by JazzHR nIkAm8c4ie
09/23/2026
Full time
Job Description Job Description Corner Alliance is a dynamic, growing consulting firm that devotes itself to providing an enriching employee experience while working in meaningful ways to create results for the government. We are currently seeking an Economic Data Analyst with 3-6 years of experience to join our growing team of economists and fully embrace our commitment to deliver, grow and thrive . Note: This role is a Full-Time, Temporary Position with Corner Alliance (through 12/31/26) About the Role: As an Economic Data Analyst actively engaging with federal clients, you will be trusted to provide rigorous, data-driven economic and policy analysis in support of broadband, spectrum, telecommunications, and infrastructure-related initiatives. You will work closely with senior economists and project teams to analyze large datasets, support economic and financial modeling, and translate analytical findings into clear, actionable insights for federal stakeholders. This role is ideal for someone with a deep understanding of and comfort level with federal data sources, who is passionate about applying numerical and statistical methods with rigor and integrity, and who enjoys applying quantitative analysis to real-world policy questions. Key Responsibilities include (but are not limited to): Conduct quantitative and qualitative economic analyses related to broadband deployment, spectrum use, telecommunications markets, and infrastructure investment Clean, manage, and analyze large datasets from federal, public, and commercial sources Support the development and execution of economic, financial, and scenario-based models (e.g., forecasting, impact analysis, cost-benefit analysis) Assist with program evaluation and performance measurement efforts, including identification and analysis of KPIs Contribute to technical memoranda, white papers, and analytic deliverables for federal audiences Develop slides, charts, and data visualizations to communicate findings to non-technical stakeholders Support senior staff in preparing briefings and materials for internal and external meetings Collaborate with cross-functional teams to meet project timelines and client expectations Participate in client meetings, working sessions, and strategy discussions as appropriate Carry out our Commitments to Deliver, Grow, and Thrive Location: You will work as part of a dynamic team remotely, with proximity to Washington, DC; Reston, VA; Arlington, VA; or Boulder, CO preferred. You may work at the client site dependent on contract requirements. Required Experience/Skills: Bachelor's degree in Economics, Public Policy, Data Science, Statistics, or a related field 3-6 years of professional experience, including experience in federal consulting or government contracting Demonstrated experience conducting data-driven analysis in a policy, regulatory, or government context Proficiency with data analysis tools such as Excel, Python, R, SQL, or similar Experience supporting economic, financial, or policy-related analyses Strong written and verbal communication skills, with the ability to clearly explain analytical findings to non-technical audiences Experience working with federal clients and producing client-ready deliverables U.S. citizenship or permanent residency and the ability to pass a public trust clearance or suitability determination Preferred Experience/Skills: Master's degree Experience with broadband, telecommunications, spectrum policy, infrastructure, or public finance Familiarity with economic modeling, forecasting, or program evaluation frameworks Experience working with large or complex datasets in a federal environment Experience developing briefing materials or slide decks for senior government stakeholders Comfort working in a fast-paced consulting environment with evolving priorities Don't think you have everything for this role but are still very interested? Please don't hold back from applying because you may not have it all. You can learn and grow with us. We're looking for someone who is coachable, unflappable in navigating challenges, resourceful in learning new skills, innovative in challenging the status quo, excellent in writing, analytical in thinking, skilled in prioritization, and a rapport builder with clients and colleagues. About Us: Corner Alliance offers a comprehensive and competitive benefits package for full-time employees including 401k matching (4%), PTO (3 weeks to start, 4 weeks (2-5 years) and 5 weeks (5 years+ , health, dental, vision, short- and long-term disability, FSA accounts, 4 weeks of paid parental leave, 11 paid holidays (including your birthday off), fitness & cell phone reimbursements, monthly all hands update meetings, annual in-person all hands team building day and evening out, regular check-ins for professional growth goals, semi-monthly one on one performance manager meetings, a social team that coordinates monthly events, use of technology like Slack to keep us connected and collaborative, and overall, a company culture dedicated to a highly engaged team. Corner Alliance is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability status, genetics, protected veteran status, or any other basis covered by applicable law. We are dedicated to building a talented workforce that reflects the strength of our society and our shared commitment to excellence. In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position with Corner Alliance please call or email . Corner Alliance participates in the E-verify program and will provide the Federal Government with Form I-9 information to confirm work authorization in the U.S. Visit us at to learn more. Securing Your Data: Beware of fake employment opportunities using Corner Alliance's name. Corner Alliance will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Corner Alliance ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Corner Alliance will only communicate with you through our ATS system JazzHR and/or emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Corner Alliance that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission . Salary: Approximate Salary Estimate: $90,000.00 - $110,000.00 annually The estimate displayed represents the typical salary range of candidates hired. Factors that may be used to determine your actual salary may include your specific skills, how many years of experience you have, and comparison to other employees already in this role. Powered by JazzHR nIkAm8c4ie
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice
09/23/2026
Full time
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice
Job Description Job Description Overview Configuration Manager WORK LOCATION: Hanscom AFB, MA (In Office/On Base 3 days a week) SALARY RANGE: $115,000 - $135,000 depending on experience, certifications, and qualifications JOB STATUS: Full-time; salaried SECURITY CLEARANCE: MUST have an active Secret security clearance Astrion has an exciting opportunity for a Configuration Manager to support the Survivable Airborne Operations Center (SAOC) Division at Hanscom AFB, MA. The SAOC program is a Major Defense Acquisition Program tasked with leading the development and delivery of the replacement fleet for the E-4B National Airborne Operations (NAOC). Responsibilities Responsible for maintaining technical baselines, especially software baselines, of USAF systems in accordance with Dept of Defense and USAF guidance. Design, develop, and establish configuration management documentation based on prescribed standards, program requirements, and conventional best practices. Prepare documentation for, coordinate, and lead Configuration Control Boards. Conduct closeout actions and archive all CM documentation. Report CCB status to leadership. Assist in preparing and reviewing program/project documentation, e.g. Requests for Proposals (RFPs), Statement Of Objectives (SOOs), Statements-of-Work (SOWs), Performance Works Statements (PWS), System/Technical Requirements Documents (SRD/TRD), Contract Data Requirements Lists (CDRL), AF Form 1067s, etc. and assist in source selections for systems. Review and update CM plans periodically in accordance with USAF guidance. Develop process, then maintain and standardize technical performance matrices to include capturing update steps, configuration control considerations, and approval process. Develop process documents. Maintain configuration control of assessments developed by the technical team. Qualifications Experience on Dept of Defense or Air Force acquisition programs is highly desired. Experience with Configuration Management tools. Demonstrated characteristics of a self-starter who is able to work independently and effectively interact with program team members and senior leadership.
09/23/2026
Full time
Job Description Job Description Overview Configuration Manager WORK LOCATION: Hanscom AFB, MA (In Office/On Base 3 days a week) SALARY RANGE: $115,000 - $135,000 depending on experience, certifications, and qualifications JOB STATUS: Full-time; salaried SECURITY CLEARANCE: MUST have an active Secret security clearance Astrion has an exciting opportunity for a Configuration Manager to support the Survivable Airborne Operations Center (SAOC) Division at Hanscom AFB, MA. The SAOC program is a Major Defense Acquisition Program tasked with leading the development and delivery of the replacement fleet for the E-4B National Airborne Operations (NAOC). Responsibilities Responsible for maintaining technical baselines, especially software baselines, of USAF systems in accordance with Dept of Defense and USAF guidance. Design, develop, and establish configuration management documentation based on prescribed standards, program requirements, and conventional best practices. Prepare documentation for, coordinate, and lead Configuration Control Boards. Conduct closeout actions and archive all CM documentation. Report CCB status to leadership. Assist in preparing and reviewing program/project documentation, e.g. Requests for Proposals (RFPs), Statement Of Objectives (SOOs), Statements-of-Work (SOWs), Performance Works Statements (PWS), System/Technical Requirements Documents (SRD/TRD), Contract Data Requirements Lists (CDRL), AF Form 1067s, etc. and assist in source selections for systems. Review and update CM plans periodically in accordance with USAF guidance. Develop process, then maintain and standardize technical performance matrices to include capturing update steps, configuration control considerations, and approval process. Develop process documents. Maintain configuration control of assessments developed by the technical team. Qualifications Experience on Dept of Defense or Air Force acquisition programs is highly desired. Experience with Configuration Management tools. Demonstrated characteristics of a self-starter who is able to work independently and effectively interact with program team members and senior leadership.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
09/22/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
09/22/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
Job Description Job Description Details: Posted: 6/3/2026 Level: Administrator IV (SUOAF) Hours: Full-time, 35 hours per week Closing Date: Applications will be accepted until the position is filled, with materials submitted by 5:00pm (EST) on Friday, July 17, 2026 , receiving priority consideration. Location: CSCU System Office 61 Woodland Street Hartford, CT 06105 This position is not remote For more information, please visit the campus website or Connecticut State Colleges & Universities Mission: The Connecticut State Colleges & Universities (CSCU) contribute to the creation of knowledge and the economic growth of the state of Connecticut by providing affordable, innovative, and rigorous programs. Our learning environments transform students and facilitate an ever-increasing number of individuals to achieve their personal and career goals. CSCU Vision: The Connecticut State Colleges and Universities will build on its long and successful history by working collectively - within and across institutions - and by engaging external partners to increase the number of students pursuing and completing personally and professionally rewarding certificate and degree programs, improving their social mobility, and helping the state to meet its current and future workforce demands. CSCU Equity Statement: The Connecticut State Colleges and Universities commits to bold and disruptive change by actively identifying, naming, and dismantling structural racism, systemic poverty, and other barriers; establishing equitable and anti-racist policies and practices; and empowering students, faculty, staff, and administrators to advance racial, social, and economic justice. Our core collective responsibility is to continuously assess practices and policies and transform the world we live in by eliminating inequities. Anticipated Start Date: June 2026Position Summary: Under general supervision, provides technical support and assistance in information systems administration, problem resolution, system testing, development, integration, and security. Assists in designing, developing, testing, deploying, and maintaining technical solutions to enhance information systems. Example of Job Duties: Under the direction of the Senior Systems Development Manager or Designee, the Systems Software & Integration Engineer is responsible for technical support through effective performance in these essential duties: Develops, maintains, performs, or assists with procedures to ensure the integrity of information systems. Assists in design and coordinates with programmers to develop software solutions and integrations. Maintains a thorough understanding of software application subsystems, gauging the impact of system access requests and handling items such as code modification and configuration. Assists with testing, deployment, maintenance of software and database applications and enhancements. Works as a system analyst with key personnel to help define user needs and develop solutions. Coordinates with technical and functional staff to troubleshoot application and database problems. Works with technical and functional staff to analyze, design, construct and implement applications and integrations; helps determine and document business needs and requirements for upgrades and enhancements. Manages moderately complex projects from start to finish, including resource planning. Assists in implementing security policies & procedures, along with investigation and resolution of security incidents, to ensure a stable and secure computing environment. May supervise professional staff and/or student workers. Performs other duties related to those above, which do not alter the basic level of responsibility of the position. This posting includes qualifications, experience and skills but is not limited to the full specifications stated in the job description. Minimum Qualifications: Bachelor's degree in computer science, information systems, or related field. Incumbents are required to have demonstrated advanced knowledge and abilities in the following: Minimum four years of experience in design, implementation, testing, maintenance, and support of information systems in an ERP environment, preferably Ellucian Banner. Hands-on experience with a currently supported version of a Relational Database Management System (RDBMS) such as: Oracle, Microsoft SQL, MySQL, or Postgres using tools such as TOAD or SQL Developer. Experience with one or more RDBMS development languages such as: SQL, PL/SQL, PostgreSQL, or equivalent. Experience in one or more reporting and analytical tools such as Argos, Cognos, PowerBI, or equivalent. Experience in one or more software development methodologies, data modeling, and best practices in software development. Ability to take ownership and manage moderately complex projects from start to completion. Excellent customer service and communication skills. Ability to work with people of various backgrounds and at all levels of technical knowledge. Strong organizational, analytical, and problem-solving skills. Candidates must possess proven ability to effectively work with culturally, linguistically, and ethnically diverse faculty, staff, and students. They are expected to have excellent interpersonal oral and written communication skills along with strong Information technology literacy skills such as Microsoft Office (Word, Excel, Outlook, Teams etc.).Preferred Qualifications: Experience with Unix/Linux operating system in a large-scale, high transactional production environment. Familiarity with web development tools such as: HTML5, CSS, Bootstrap, JSON, Java, JavaScript, AngularJS and RESTful Web Services. Familiarity with NodeJS, React.js and an IDE tool such as Visual Studio. Familiarity with automating batch processes using scheduling tools such as crontab, Automic or ISE (EnterpriseSCHEDULE) or comparable tools. Familiarity with, or ability to learn, portal applications, system integrations/interfaces, and Learning Management systems. Preferred platforms are the Ellucian Experience portal, Ellucian Data Connect, Ellucian Ethos, Intelligent Learning Platform (ILP), and Blackboard. These qualifications may be waived for individuals with appropriate alternate experience.Starting Salary: Minimum Salary; $85,465 approximate annual plus excellent State of CT medical insurance, retirement, and related fringe benefits. The salary will be based on the selected candidate's qualifications such as education and job-related experience, and internal equity. We offer a comprehensive benefits package to help you stay well, protect yourself and your family, and plan for a secure future. Benefits include generous leave policies; several retirement plans; and many choices for comprehensive health insurance. You also have access to many additional benefits to save for retirement, protect your family & more with supplemental benefits. Tuition reimbursement may apply if applicable. Application Instructions: To apply you must submit a cover letter and resume. The cover letter may be entered as text in the corresponding box, or it can be uploaded as a combined file with the resume. Incomplete applications or those submitted after the closing date will not be considered and links to other sources to view resumes are not acceptable. For more information or to apply via our website at Selection Procedure: Following the closing date, application materials will be evaluated by a selection committee. Candidates selected for further consideration will be limited to those applicants who are best qualified based on the minimum and preferred qualifications and who have submitted all the required documents by the closing date and time listed on the job announcement. Candidates who have been selected and approved to interview will be contacted, and finalists will be recommended for further consideration by the Hiring Manager for final selection and recommendation for employment. The selection process may also include practical exercises (i.e., teaching demonstration and/or other written, technical, manipulative, or simulation exercises) to evaluate candidates' qualifications. Background Screening: All employment, if offered, is contingent upon proof of citizenship or employability under the requirement of the Immigration and Control Act (IRCA) and the successful passing of a background check, including granting permission to contact current and previous employers for verification. CSCU is committed to providing a safe campus community. Background investigations include reference checks, a criminal history record check and, when appropriate, a financial (credit) report or driving history check. Continuing Notice of Nondiscrimination CSCU does not discriminate on the basis of race, color, religious creed, age, gender, gender identity or expression, national origin, marital status, ancestry, present or past history of mental disorder, learning disability or physical disability, veteran status, sexual orientation, genetic information or criminal record. For inquiries regarding the non-discrimination policies, please contact . CSCU IS AN AFFIRMATIVE ACTION/EQUAL OPPORTUNITY EMPLOYER, M/F Powered by JazzHR 0hfT9CfgaF
09/22/2026
Full time
Job Description Job Description Details: Posted: 6/3/2026 Level: Administrator IV (SUOAF) Hours: Full-time, 35 hours per week Closing Date: Applications will be accepted until the position is filled, with materials submitted by 5:00pm (EST) on Friday, July 17, 2026 , receiving priority consideration. Location: CSCU System Office 61 Woodland Street Hartford, CT 06105 This position is not remote For more information, please visit the campus website or Connecticut State Colleges & Universities Mission: The Connecticut State Colleges & Universities (CSCU) contribute to the creation of knowledge and the economic growth of the state of Connecticut by providing affordable, innovative, and rigorous programs. Our learning environments transform students and facilitate an ever-increasing number of individuals to achieve their personal and career goals. CSCU Vision: The Connecticut State Colleges and Universities will build on its long and successful history by working collectively - within and across institutions - and by engaging external partners to increase the number of students pursuing and completing personally and professionally rewarding certificate and degree programs, improving their social mobility, and helping the state to meet its current and future workforce demands. CSCU Equity Statement: The Connecticut State Colleges and Universities commits to bold and disruptive change by actively identifying, naming, and dismantling structural racism, systemic poverty, and other barriers; establishing equitable and anti-racist policies and practices; and empowering students, faculty, staff, and administrators to advance racial, social, and economic justice. Our core collective responsibility is to continuously assess practices and policies and transform the world we live in by eliminating inequities. Anticipated Start Date: June 2026Position Summary: Under general supervision, provides technical support and assistance in information systems administration, problem resolution, system testing, development, integration, and security. Assists in designing, developing, testing, deploying, and maintaining technical solutions to enhance information systems. Example of Job Duties: Under the direction of the Senior Systems Development Manager or Designee, the Systems Software & Integration Engineer is responsible for technical support through effective performance in these essential duties: Develops, maintains, performs, or assists with procedures to ensure the integrity of information systems. Assists in design and coordinates with programmers to develop software solutions and integrations. Maintains a thorough understanding of software application subsystems, gauging the impact of system access requests and handling items such as code modification and configuration. Assists with testing, deployment, maintenance of software and database applications and enhancements. Works as a system analyst with key personnel to help define user needs and develop solutions. Coordinates with technical and functional staff to troubleshoot application and database problems. Works with technical and functional staff to analyze, design, construct and implement applications and integrations; helps determine and document business needs and requirements for upgrades and enhancements. Manages moderately complex projects from start to finish, including resource planning. Assists in implementing security policies & procedures, along with investigation and resolution of security incidents, to ensure a stable and secure computing environment. May supervise professional staff and/or student workers. Performs other duties related to those above, which do not alter the basic level of responsibility of the position. This posting includes qualifications, experience and skills but is not limited to the full specifications stated in the job description. Minimum Qualifications: Bachelor's degree in computer science, information systems, or related field. Incumbents are required to have demonstrated advanced knowledge and abilities in the following: Minimum four years of experience in design, implementation, testing, maintenance, and support of information systems in an ERP environment, preferably Ellucian Banner. Hands-on experience with a currently supported version of a Relational Database Management System (RDBMS) such as: Oracle, Microsoft SQL, MySQL, or Postgres using tools such as TOAD or SQL Developer. Experience with one or more RDBMS development languages such as: SQL, PL/SQL, PostgreSQL, or equivalent. Experience in one or more reporting and analytical tools such as Argos, Cognos, PowerBI, or equivalent. Experience in one or more software development methodologies, data modeling, and best practices in software development. Ability to take ownership and manage moderately complex projects from start to completion. Excellent customer service and communication skills. Ability to work with people of various backgrounds and at all levels of technical knowledge. Strong organizational, analytical, and problem-solving skills. Candidates must possess proven ability to effectively work with culturally, linguistically, and ethnically diverse faculty, staff, and students. They are expected to have excellent interpersonal oral and written communication skills along with strong Information technology literacy skills such as Microsoft Office (Word, Excel, Outlook, Teams etc.).Preferred Qualifications: Experience with Unix/Linux operating system in a large-scale, high transactional production environment. Familiarity with web development tools such as: HTML5, CSS, Bootstrap, JSON, Java, JavaScript, AngularJS and RESTful Web Services. Familiarity with NodeJS, React.js and an IDE tool such as Visual Studio. Familiarity with automating batch processes using scheduling tools such as crontab, Automic or ISE (EnterpriseSCHEDULE) or comparable tools. Familiarity with, or ability to learn, portal applications, system integrations/interfaces, and Learning Management systems. Preferred platforms are the Ellucian Experience portal, Ellucian Data Connect, Ellucian Ethos, Intelligent Learning Platform (ILP), and Blackboard. These qualifications may be waived for individuals with appropriate alternate experience.Starting Salary: Minimum Salary; $85,465 approximate annual plus excellent State of CT medical insurance, retirement, and related fringe benefits. The salary will be based on the selected candidate's qualifications such as education and job-related experience, and internal equity. We offer a comprehensive benefits package to help you stay well, protect yourself and your family, and plan for a secure future. Benefits include generous leave policies; several retirement plans; and many choices for comprehensive health insurance. You also have access to many additional benefits to save for retirement, protect your family & more with supplemental benefits. Tuition reimbursement may apply if applicable. Application Instructions: To apply you must submit a cover letter and resume. The cover letter may be entered as text in the corresponding box, or it can be uploaded as a combined file with the resume. Incomplete applications or those submitted after the closing date will not be considered and links to other sources to view resumes are not acceptable. For more information or to apply via our website at Selection Procedure: Following the closing date, application materials will be evaluated by a selection committee. Candidates selected for further consideration will be limited to those applicants who are best qualified based on the minimum and preferred qualifications and who have submitted all the required documents by the closing date and time listed on the job announcement. Candidates who have been selected and approved to interview will be contacted, and finalists will be recommended for further consideration by the Hiring Manager for final selection and recommendation for employment. The selection process may also include practical exercises (i.e., teaching demonstration and/or other written, technical, manipulative, or simulation exercises) to evaluate candidates' qualifications. Background Screening: All employment, if offered, is contingent upon proof of citizenship or employability under the requirement of the Immigration and Control Act (IRCA) and the successful passing of a background check, including granting permission to contact current and previous employers for verification. CSCU is committed to providing a safe campus community. Background investigations include reference checks, a criminal history record check and, when appropriate, a financial (credit) report or driving history check. Continuing Notice of Nondiscrimination CSCU does not discriminate on the basis of race, color, religious creed, age, gender, gender identity or expression, national origin, marital status, ancestry, present or past history of mental disorder, learning disability or physical disability, veteran status, sexual orientation, genetic information or criminal record. For inquiries regarding the non-discrimination policies, please contact . CSCU IS AN AFFIRMATIVE ACTION/EQUAL OPPORTUNITY EMPLOYER, M/F Powered by JazzHR 0hfT9CfgaF
Job Description Job Description COMPANY: Canoe Intelligence WEBSITE : TITLE: Sr. Machine Learning Engineer LOCATION: Hybrid in New York City or London SALARY : $180,000 - $220,000 (based on NYC, will be adjusted for geo) The Role: We are looking for a Senior Machine Learning Engineer to design and deploy models that make sense of highly complex, unstructured financial documents, enabling us to deliver data with unprecedented accuracy, speed, and trust. You'll work hands-on with LLM and other ML Models, helping scale Canoe's platform while shaping how alternative investment firms interact with their data. What You'll Do: Design, train, and evaluate ML models for document classification, entity extraction, summarization, and information retrieval. Fine-tune and optimize large language models for domain specific use cases, optimizing their performance for accuracy, efficiency, and scalability. Work closely with data engineering teams to preprocess and engineer features from large datasets to enhance the performance of machine learning models. Build scalable, production-ready ML services with strong observability, monitoring, and retraining capabilities. Contribute to Canoe's MLOps stack, including CI/CD for models, feature stores, evaluation frameworks, and data versioning. Collaborate with product managers, software engineers, and other stakeholders to integrate machine learning models into end-to-end solutions. Stay current with advancements in LLMs, Agentic AI, and ML, and translate new research into practical improvements to Canoe's technology stack. Conduct code reviews to ensure code quality and provide mentorship to junior members of the machine learning team. What We're Looking For: Minimum of 5 years of experience in applied ML engineering, with a focus on NLP, information extraction, or LLMs. Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). Strong understanding of MLOps (Docker, Kubernetes, CI/CD for ML, experiment tracking). Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude Code agent) to accelerate software development, prototyping, testing, and deployment of ML solutions. Problem-solver with a product mindset and bias toward outcomes. Excellent communication skills; able to partner across engineering, product, and business teams. Comfortable in fast-paced, agile startup environments. Bachelor's degree in computer science or related field. Preferred Master Degree or PhD in computer science or related field Experience in training and deploying large language models. Familiarity with cloud computing platforms and distributed computing. Familiarity with modern ML Ops tools such as Modal, Weights and Biases, Sagemaker, etc. Experience with LLM fine-tuning techniques such as LoRA, QLoRA, or parameter-efficient training frameworks (e.g., Unsloth). What You'll Get: Medical, dental, vision benefits Flexible PTO 401(k) Flexible work from home policy Home office stipend Employee Assistance Program Gym/Wifi reimbursement Education assistance Parental Leave Our Values: Client First -> Listen, and deliver client-centric solutions Be An Owner -> Take initiative, improve situations, drive positive outcomes Excellence -> Always set the highest standard for yourself and others Win Together -> 1 + 1 = 3 Who We Are: Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe's technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe's AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm. Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
09/22/2026
Full time
Job Description Job Description COMPANY: Canoe Intelligence WEBSITE : TITLE: Sr. Machine Learning Engineer LOCATION: Hybrid in New York City or London SALARY : $180,000 - $220,000 (based on NYC, will be adjusted for geo) The Role: We are looking for a Senior Machine Learning Engineer to design and deploy models that make sense of highly complex, unstructured financial documents, enabling us to deliver data with unprecedented accuracy, speed, and trust. You'll work hands-on with LLM and other ML Models, helping scale Canoe's platform while shaping how alternative investment firms interact with their data. What You'll Do: Design, train, and evaluate ML models for document classification, entity extraction, summarization, and information retrieval. Fine-tune and optimize large language models for domain specific use cases, optimizing their performance for accuracy, efficiency, and scalability. Work closely with data engineering teams to preprocess and engineer features from large datasets to enhance the performance of machine learning models. Build scalable, production-ready ML services with strong observability, monitoring, and retraining capabilities. Contribute to Canoe's MLOps stack, including CI/CD for models, feature stores, evaluation frameworks, and data versioning. Collaborate with product managers, software engineers, and other stakeholders to integrate machine learning models into end-to-end solutions. Stay current with advancements in LLMs, Agentic AI, and ML, and translate new research into practical improvements to Canoe's technology stack. Conduct code reviews to ensure code quality and provide mentorship to junior members of the machine learning team. What We're Looking For: Minimum of 5 years of experience in applied ML engineering, with a focus on NLP, information extraction, or LLMs. Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). Strong understanding of MLOps (Docker, Kubernetes, CI/CD for ML, experiment tracking). Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude Code agent) to accelerate software development, prototyping, testing, and deployment of ML solutions. Problem-solver with a product mindset and bias toward outcomes. Excellent communication skills; able to partner across engineering, product, and business teams. Comfortable in fast-paced, agile startup environments. Bachelor's degree in computer science or related field. Preferred Master Degree or PhD in computer science or related field Experience in training and deploying large language models. Familiarity with cloud computing platforms and distributed computing. Familiarity with modern ML Ops tools such as Modal, Weights and Biases, Sagemaker, etc. Experience with LLM fine-tuning techniques such as LoRA, QLoRA, or parameter-efficient training frameworks (e.g., Unsloth). What You'll Get: Medical, dental, vision benefits Flexible PTO 401(k) Flexible work from home policy Home office stipend Employee Assistance Program Gym/Wifi reimbursement Education assistance Parental Leave Our Values: Client First -> Listen, and deliver client-centric solutions Be An Owner -> Take initiative, improve situations, drive positive outcomes Excellence -> Always set the highest standard for yourself and others Win Together -> 1 + 1 = 3 Who We Are: Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe's technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe's AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm. Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Job Description Job Description Company Description StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, and GolfPass. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. Job Description Senior AI Engineer We're looking for a highly capable Senior AI Engineer to join our team to build the next generation of AI-powered equity research. This role is hybrid, 3 days in office. This role is for engineers who enjoy turning LLM and agentic AI capabilities into reliable product systems embedded in real-world workflows. It is especially well suited to people who want to work hands-on across architecture, implementation, and operations while helping define how AI capabilities get integrated into products used by individual investors. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge LLMs and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. You will design, build, and operate core components of our AI platform: distributed agentic workflows, retrieval and reranking systems, model integrations, and the infrastructure required to make these systems reliable, observable, and scalable in production. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, engineering, and AI systems decisions while working closely with peers, product stakeholders, and senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. A genuine interest in investing, public markets, and fundamental business analysis is expected. What We're Looking For: Bachelor's degree in Computer Science or equivalent practical experience Minimum of 5 years of experience designing, building, and maintaining software systems Strong backend expertise in at least one strongly typed language, preferably TypeScript Solid understanding of cloud computing primitives, especially AWS Strong understanding of agentic AI concepts such as tool use, function calling, state machines or graphs, retrieval and reranking, structured outputs, memory, guardrails, and evaluation Experience developing and deploying agentic workflows using frameworks such as LangChain, Mastra, or LangGraph Experience contributing to system design and technical decision-making Experience shipping and operating multiple GenAI or LLM-powered systems in production Hands-on experience debugging scaled LLM systems and participating in incident response Experience building RAG pipelines using embeddings and vector databases Familiarity with fine-tuning or adapting models for specific tasks Experience implementing evaluation pipelines, including human-in-the-loop workflows Experience building or maintaining evaluation suites for agentic systems in production What You'll Do: Build end-to-end distributed agentic AI solutions that are reliable and scalable Own complex features or subsystems from design through deployment and operation Collaborate cross-functionally to integrate AI capabilities into products and data pipelines Contribute to architectural decisions and technical standards for AI systems Maintain observability and operational health, including cost metrics, quality monitoring, drift detection, alignment, alerting, and incident response Support the team's overall technical growth Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues Use and improve model lifecycle management, monitoring, and evaluation frameworks Location: At CNBC Headquarters in Englewood Cliffs, NJ, you'll have access to great perks and amenities: • Sweat it out Free onsite fitness center with state-of-the-art equipment, plus daily group classes • Eat up Gourmet cafeteria with daily specials plus soup and salad bars • Extras Dry cleaning, shoe shining and sneak peeks • Don't have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Qualifications What We're Looking For: Minimum of 5 years of experience in software engineering, with a strong track record of building and shipping production systems Proven experience designing and deploying LLM-based or GenAI systems in real-world applications Strong programming skills in Python and experience with modern backend architecture and distributed systems Understanding of LLM workflows, including prompting, tool use, retrieval-augmented generation (RAG), and evaluation methodologies Experience building scalable data pipelines and working with large, messy, or unstructured datasets Ability to design systems with strong observability, reliability, and performance characteristics in mind Experience working in cross-functional environments and leading technical projects end-to-end Strong problem-solving skills and ability to operate independently in ambiguous, fast-moving environments Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Demonstrated interest in financial markets, investing, or business analysis Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.
09/22/2026
Full time
Job Description Job Description Company Description StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, and GolfPass. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. Job Description Senior AI Engineer We're looking for a highly capable Senior AI Engineer to join our team to build the next generation of AI-powered equity research. This role is hybrid, 3 days in office. This role is for engineers who enjoy turning LLM and agentic AI capabilities into reliable product systems embedded in real-world workflows. It is especially well suited to people who want to work hands-on across architecture, implementation, and operations while helping define how AI capabilities get integrated into products used by individual investors. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge LLMs and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. You will design, build, and operate core components of our AI platform: distributed agentic workflows, retrieval and reranking systems, model integrations, and the infrastructure required to make these systems reliable, observable, and scalable in production. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, engineering, and AI systems decisions while working closely with peers, product stakeholders, and senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. A genuine interest in investing, public markets, and fundamental business analysis is expected. What We're Looking For: Bachelor's degree in Computer Science or equivalent practical experience Minimum of 5 years of experience designing, building, and maintaining software systems Strong backend expertise in at least one strongly typed language, preferably TypeScript Solid understanding of cloud computing primitives, especially AWS Strong understanding of agentic AI concepts such as tool use, function calling, state machines or graphs, retrieval and reranking, structured outputs, memory, guardrails, and evaluation Experience developing and deploying agentic workflows using frameworks such as LangChain, Mastra, or LangGraph Experience contributing to system design and technical decision-making Experience shipping and operating multiple GenAI or LLM-powered systems in production Hands-on experience debugging scaled LLM systems and participating in incident response Experience building RAG pipelines using embeddings and vector databases Familiarity with fine-tuning or adapting models for specific tasks Experience implementing evaluation pipelines, including human-in-the-loop workflows Experience building or maintaining evaluation suites for agentic systems in production What You'll Do: Build end-to-end distributed agentic AI solutions that are reliable and scalable Own complex features or subsystems from design through deployment and operation Collaborate cross-functionally to integrate AI capabilities into products and data pipelines Contribute to architectural decisions and technical standards for AI systems Maintain observability and operational health, including cost metrics, quality monitoring, drift detection, alignment, alerting, and incident response Support the team's overall technical growth Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues Use and improve model lifecycle management, monitoring, and evaluation frameworks Location: At CNBC Headquarters in Englewood Cliffs, NJ, you'll have access to great perks and amenities: • Sweat it out Free onsite fitness center with state-of-the-art equipment, plus daily group classes • Eat up Gourmet cafeteria with daily specials plus soup and salad bars • Extras Dry cleaning, shoe shining and sneak peeks • Don't have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Qualifications What We're Looking For: Minimum of 5 years of experience in software engineering, with a strong track record of building and shipping production systems Proven experience designing and deploying LLM-based or GenAI systems in real-world applications Strong programming skills in Python and experience with modern backend architecture and distributed systems Understanding of LLM workflows, including prompting, tool use, retrieval-augmented generation (RAG), and evaluation methodologies Experience building scalable data pipelines and working with large, messy, or unstructured datasets Ability to design systems with strong observability, reliability, and performance characteristics in mind Experience working in cross-functional environments and leading technical projects end-to-end Strong problem-solving skills and ability to operate independently in ambiguous, fast-moving environments Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Demonstrated interest in financial markets, investing, or business analysis Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.
Job Description Job Description Senior Software Engineer, Reliability Remote, US About Nametag Nametag is building the future of secure digital identity. Our mission is to make it easy for people and organizations to prove who they are online, safely and seamlessly. We're pioneering next-generation identity verification and account protection so that users can control their own identity, and companies can build trust without friction. By enabling trust at scale, we help enterprises reduce fraud, streamline onboarding, and deliver secure user experiences that customers love. The Role We're looking for a Senior Software Engineer to own infrastructure, reliability, and platform engineering at Nametag. You'll design and scale the systems that keep our identity verification platform fast, secure, and always available, and build the tooling that makes our engineering team more productive and autonomous. This is a hands-on, high-impact role. You'll work closely with engineering and product leadership to make critical decisions about how we build, deploy, and operate our systems, and then execute on them. If you've thrived in fast-moving environments and care deeply about uptime, correctness, and developer experience, we'd love to meet you. What You'll Do Infrastructure & Reliability Design, build, and maintain scalable, cost-effective cloud infrastructure across AWS and Fly.io. Own deployment strategy and service design across our monolith and microservices, including schema migrations and rollout safety. Manage infrastructure-as-code (CloudFormation, Terraform or equivalent) for reproducible, auditable infrastructure. Identify reliability risks, performance bottlenecks, and security gaps, and address them proactively. Observability & Incident Response Evolve our observability stack: logging, distributed tracing, metrics, and uptime monitoring. Evolve on-call practices and incident response processes that keep us ahead of customer-impacting issues. Champion a culture of reliability: postmortems, runbooks, and continuous improvement after incidents. Developer Enablement Manage and improve our CI/CD pipelines (GitHub Actions) and establish deployment best practices. Build internal platform tooling and abstractions that reduce toil and increase engineering velocity. Partner with product engineers to make infrastructure easy to use correctly and hard to use incorrectly. Data & ML Infrastructure Design and operate data pipelines that support our ML-powered verification systems. Evolve our MLOps infrastructure so models can be trained, evaluated, and deployed safely and repeatedly. Collaboration & Leadership Work closely with engineering and product leadership on technical roadmap decisions. Review code, mentor peers, and help raise the bar on security, reliability, and operational discipline. Communicate infrastructure tradeoffs clearly across technical and non-technical stakeholders. Ideal Qualifications Work Authorization (Required): Applicants must be legally authorized to work in the United States for any employer without current or future need for visa sponsorship. This is a firm requirement. The technical qualifications below are guidelines. We know that no candidate will perfectly match every requirement, and that's okay. If you're passionate about what we're building and have most of the skills below, we'd love to hear from you. Cloud & Infrastructure: Hands-on experience managing and securing cloud infrastructure. AWS required; Fly.io or similar a plus. Infrastructure-as-Code: Production experience with Terraform or equivalent tools. Databases: Deep experience with PostgreSQL, including schema design, migrations, and query performance tuning. CI/CD: Strong experience designing and managing pipelines, GitHub Actions preferred. Languages: Proficiency in modern, type-safe languages. Go strongly preferred. Observability: Experience building and operating logging, tracing, and metrics systems in production. MLOps & Data Pipelines: Prior experience shipping ML infrastructure into production, not just experimentation. Startup experience: You've worked at an early-stage company and know what it means to move fast without compromising the things that matter. Security: Security-minded by default. You design with the threat model in mind, not as an afterthought. What We Value Intellectual horsepower. Quickly grasping complex technical and business concepts. Kindness and integrity. Earning trust is central to how we build relationships with customers and colleagues. Bias for action. We move quickly to deliver impact and protect our customers against fast-moving threats. Ownership mindset. You care about uptime and stability the way a founder cares about the product. Compensation The base salary range for this full-time position is $120,000 to $190,000, plus equity and benefits. Nametag is a founding member of the Open Imperative, publicly committed to pay equity in the technology industry. We post positions with ranges to encourage people of different backgrounds and experiences to apply. Every offer is benchmarked against market data to ensure fairness and consistency. Final compensation is determined by role, level, and additional factors such as skills, experience, and education. Your recruiter or hiring manager can share more details during the hiring process. Culture & Perks At Nametag, we believe trust starts with how we treat each other. We're a remote-first team that values autonomy, inclusivity, and collaboration, with regular in-person time to stay connected and innovate together. Remote-first: Work from anywhere in the US. Our team spans Seattle, San Francisco, Ann Arbor, Denver, New York City, and beyond. Off-sites: We bring the team together once per quarter for in-person collaboration, often off-site in new places. Flexible schedules: Work in your own time zone; we align key meetings across a shared window. We Offer Competitive salary Meaningful equity ownership Comprehensive health benefits (medical, dental, vision) Flexible paid time off Quarterly team off-sites and travel support New computer hardware and equipment An inclusive environment where your voice has impact and your work drives change
09/22/2026
Full time
Job Description Job Description Senior Software Engineer, Reliability Remote, US About Nametag Nametag is building the future of secure digital identity. Our mission is to make it easy for people and organizations to prove who they are online, safely and seamlessly. We're pioneering next-generation identity verification and account protection so that users can control their own identity, and companies can build trust without friction. By enabling trust at scale, we help enterprises reduce fraud, streamline onboarding, and deliver secure user experiences that customers love. The Role We're looking for a Senior Software Engineer to own infrastructure, reliability, and platform engineering at Nametag. You'll design and scale the systems that keep our identity verification platform fast, secure, and always available, and build the tooling that makes our engineering team more productive and autonomous. This is a hands-on, high-impact role. You'll work closely with engineering and product leadership to make critical decisions about how we build, deploy, and operate our systems, and then execute on them. If you've thrived in fast-moving environments and care deeply about uptime, correctness, and developer experience, we'd love to meet you. What You'll Do Infrastructure & Reliability Design, build, and maintain scalable, cost-effective cloud infrastructure across AWS and Fly.io. Own deployment strategy and service design across our monolith and microservices, including schema migrations and rollout safety. Manage infrastructure-as-code (CloudFormation, Terraform or equivalent) for reproducible, auditable infrastructure. Identify reliability risks, performance bottlenecks, and security gaps, and address them proactively. Observability & Incident Response Evolve our observability stack: logging, distributed tracing, metrics, and uptime monitoring. Evolve on-call practices and incident response processes that keep us ahead of customer-impacting issues. Champion a culture of reliability: postmortems, runbooks, and continuous improvement after incidents. Developer Enablement Manage and improve our CI/CD pipelines (GitHub Actions) and establish deployment best practices. Build internal platform tooling and abstractions that reduce toil and increase engineering velocity. Partner with product engineers to make infrastructure easy to use correctly and hard to use incorrectly. Data & ML Infrastructure Design and operate data pipelines that support our ML-powered verification systems. Evolve our MLOps infrastructure so models can be trained, evaluated, and deployed safely and repeatedly. Collaboration & Leadership Work closely with engineering and product leadership on technical roadmap decisions. Review code, mentor peers, and help raise the bar on security, reliability, and operational discipline. Communicate infrastructure tradeoffs clearly across technical and non-technical stakeholders. Ideal Qualifications Work Authorization (Required): Applicants must be legally authorized to work in the United States for any employer without current or future need for visa sponsorship. This is a firm requirement. The technical qualifications below are guidelines. We know that no candidate will perfectly match every requirement, and that's okay. If you're passionate about what we're building and have most of the skills below, we'd love to hear from you. Cloud & Infrastructure: Hands-on experience managing and securing cloud infrastructure. AWS required; Fly.io or similar a plus. Infrastructure-as-Code: Production experience with Terraform or equivalent tools. Databases: Deep experience with PostgreSQL, including schema design, migrations, and query performance tuning. CI/CD: Strong experience designing and managing pipelines, GitHub Actions preferred. Languages: Proficiency in modern, type-safe languages. Go strongly preferred. Observability: Experience building and operating logging, tracing, and metrics systems in production. MLOps & Data Pipelines: Prior experience shipping ML infrastructure into production, not just experimentation. Startup experience: You've worked at an early-stage company and know what it means to move fast without compromising the things that matter. Security: Security-minded by default. You design with the threat model in mind, not as an afterthought. What We Value Intellectual horsepower. Quickly grasping complex technical and business concepts. Kindness and integrity. Earning trust is central to how we build relationships with customers and colleagues. Bias for action. We move quickly to deliver impact and protect our customers against fast-moving threats. Ownership mindset. You care about uptime and stability the way a founder cares about the product. Compensation The base salary range for this full-time position is $120,000 to $190,000, plus equity and benefits. Nametag is a founding member of the Open Imperative, publicly committed to pay equity in the technology industry. We post positions with ranges to encourage people of different backgrounds and experiences to apply. Every offer is benchmarked against market data to ensure fairness and consistency. Final compensation is determined by role, level, and additional factors such as skills, experience, and education. Your recruiter or hiring manager can share more details during the hiring process. Culture & Perks At Nametag, we believe trust starts with how we treat each other. We're a remote-first team that values autonomy, inclusivity, and collaboration, with regular in-person time to stay connected and innovate together. Remote-first: Work from anywhere in the US. Our team spans Seattle, San Francisco, Ann Arbor, Denver, New York City, and beyond. Off-sites: We bring the team together once per quarter for in-person collaboration, often off-site in new places. Flexible schedules: Work in your own time zone; we align key meetings across a shared window. We Offer Competitive salary Meaningful equity ownership Comprehensive health benefits (medical, dental, vision) Flexible paid time off Quarterly team off-sites and travel support New computer hardware and equipment An inclusive environment where your voice has impact and your work drives change
Job Description Job Description Company Description About StockStory VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Job Description StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. As a Senior ML Engineer, working in a team of 15 you will work on both an existing AI product with real user impact and greenfield projects with significant room for exploration. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Qualifications What You'll Do: This role is for engineers who enjoy turning machine learning and AI capabilities into reliable product systems used by real customers at scale. It is especially well suited to people who want to work across the full stack of applied ML, from data pipelines and model training to inference, evaluation, and production operations. You will design, build, and operate core components of our AI platform: production-grade ML systems, LLM workflows, and supporting infrastructure that power core user experiences for individual investors. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, engineering, and modeling decisions while working closely with senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. Design, implement, and maintain production ML and AI systems used at scale Own end-to-end delivery of AI features from data pipelines and training workflows to inference and monitoring Contribute to architectural decisions and technical standards and mentor peers to elevate ML quality Solve complex technical problems with moderate ambiguity and strong business impact Participate in code reviews and incident retrospectives to improve system quality and reliability Support the team's overall technical growth Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues Use and improve model lifecycle management, monitoring, and evaluation frameworks Hands-on experience with neural networks, including CNNs, RNNs, Transformers, or other deep learning architectures Background in classical and modern NLP techniques such as tokenization, sequence labeling, language modeling, embeddings, text classification, and information extraction Experience with training pipelines using frameworks such as TensorFlow or PyTorch Experience building human-in-the-loop training or evaluation workflows A genuine interest in investing, public markets, and fundamental business analysis is expected. Requirements: Bachelor's degree in Computer Science or equivalent practical experience Minimum of 5 years of experience in software engineering with a focus on machine learning or AI systems Experience building and operating production ML systems Strong proficiency in Python, TypeScript, or Java Proven experience with LLMs, ranking or recommendation systems, search, or applied NLP Solid understanding of modern ML techniques, including deep learning and representation learning Experience contributing to system design and technical decision-making Location: Hybrid 3 days in office At CNBC Headquarters in Englewood Cliffs, NJ, you'll have access to great perks and amenities: • Sweat it out Free onsite fitness center with state-of-the-art equipment, plus daily group classes • Eat up Gourmet cafeteria with daily specials plus soup and salad bars • Extras Dry cleaning, shoe shining and sneak peeks • Don't have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.
09/22/2026
Full time
Job Description Job Description Company Description About StockStory VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Job Description StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. As a Senior ML Engineer, working in a team of 15 you will work on both an existing AI product with real user impact and greenfield projects with significant room for exploration. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Qualifications What You'll Do: This role is for engineers who enjoy turning machine learning and AI capabilities into reliable product systems used by real customers at scale. It is especially well suited to people who want to work across the full stack of applied ML, from data pipelines and model training to inference, evaluation, and production operations. You will design, build, and operate core components of our AI platform: production-grade ML systems, LLM workflows, and supporting infrastructure that power core user experiences for individual investors. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, engineering, and modeling decisions while working closely with senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. Design, implement, and maintain production ML and AI systems used at scale Own end-to-end delivery of AI features from data pipelines and training workflows to inference and monitoring Contribute to architectural decisions and technical standards and mentor peers to elevate ML quality Solve complex technical problems with moderate ambiguity and strong business impact Participate in code reviews and incident retrospectives to improve system quality and reliability Support the team's overall technical growth Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues Use and improve model lifecycle management, monitoring, and evaluation frameworks Hands-on experience with neural networks, including CNNs, RNNs, Transformers, or other deep learning architectures Background in classical and modern NLP techniques such as tokenization, sequence labeling, language modeling, embeddings, text classification, and information extraction Experience with training pipelines using frameworks such as TensorFlow or PyTorch Experience building human-in-the-loop training or evaluation workflows A genuine interest in investing, public markets, and fundamental business analysis is expected. Requirements: Bachelor's degree in Computer Science or equivalent practical experience Minimum of 5 years of experience in software engineering with a focus on machine learning or AI systems Experience building and operating production ML systems Strong proficiency in Python, TypeScript, or Java Proven experience with LLMs, ranking or recommendation systems, search, or applied NLP Solid understanding of modern ML techniques, including deep learning and representation learning Experience contributing to system design and technical decision-making Location: Hybrid 3 days in office At CNBC Headquarters in Englewood Cliffs, NJ, you'll have access to great perks and amenities: • Sweat it out Free onsite fitness center with state-of-the-art equipment, plus daily group classes • Eat up Gourmet cafeteria with daily specials plus soup and salad bars • Extras Dry cleaning, shoe shining and sneak peeks • Don't have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.
Job Description Job Description What you'll be part of Garner is on a mission to transform the U.S. healthcare system - and we're the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare "win win" - better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. - and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking a Senior Site Reliability Engineer to own the reliability, performance, and resilience of the cloud infrastructure powering Garner's products and AI/ML workloads. This role sits on our Platform Engineering team. You will run the machine: defining and upholding SLOs, leading incident response, and driving the automation and standards that let every Garner engineer ship faster and more reliably. Because our systems directly influence health outcomes for millions of patients, maintaining the highest standards of production quality is imperative. This is an automation-first role: you will use AI tools to continuously convert manual operational work into monitored, hands-free processes, so the role gets more leveraged as you build. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do: Run the Machine: Own the end-to-end reliability, performance, and resilience of Garner's cloud environments (AWS, Kubernetes), including those powering AI/ML workloads; define, measure, and uphold SLOs across our critical services. Lead Incident Response: Serve in the on-call rotation, lead incident response, and drive deep-dive root cause analysis, seeing corrective actions through to resolution and rigorously reviewing infrastructure changes. Own Observability: Build and maintain the monitoring, alerting, and observability systems that let us detect and resolve issues before users feel them. Scale & Optimize: Translate ambiguous, high-performance scaling requirements into well-defined, automated, and composable infrastructure-as-code deliverables (Terraform); proactively identify and implement cost-efficiency and performance gains across the stack to maximize cloud ROI. Automate Away Toil: Pay down impactful tech debt and reduce operational toil, using AI tools and automation to convert repetitive operational work into hands-free, monitored processes, and holding our internal platform to the same rigorous standards as our customer-facing products. Enable Engineering: Build and maintain the deployment and observability standards that empower the broader engineering team to ship AI features faster and more reliably; communicate complex cloud and reliability concepts clearly to technical and non-technical stakeholders. Uphold Security & Compliance: Ensure our infrastructure and operations meet Garner's security and HIPAA compliance obligations. The ideal candidate has: 4+ years of hands-on experience operating production cloud infrastructure at scale in an SRE, DevOps, or platform engineering role. Deep expertise with Kubernetes and Terraform in a cloud-first environment (AWS preferred). A strong track record with production observability: defining SLOs, building monitoring and alerting, and leading incident response and blameless post-incident reviews. Strong software engineering fundamentals in Python or Go, applied to infrastructure automation (experience with Kubernetes APIs a plus). Experience driving cloud cost-efficiency and performance optimization across compute, storage, and networking. Experience supporting AI/ML or data-intensive workloads in production is a plus. Experience operating in a security-conscious or regulated environment (HIPAA, SOC 2) is a plus. Fluency with AI tools (e.g., Claude) applied to real engineering and operations workflows, or strong motivation to build it fast. A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback. Technologies we use: AWS, Kubernetes, Terraform, Istio, Python, Go, TypeScript, Postgres, NATS, Datadog, GitLab This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. We are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target range for this position is 191 000.00. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use and email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .
09/22/2026
Full time
Job Description Job Description What you'll be part of Garner is on a mission to transform the U.S. healthcare system - and we're the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare "win win" - better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. - and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking a Senior Site Reliability Engineer to own the reliability, performance, and resilience of the cloud infrastructure powering Garner's products and AI/ML workloads. This role sits on our Platform Engineering team. You will run the machine: defining and upholding SLOs, leading incident response, and driving the automation and standards that let every Garner engineer ship faster and more reliably. Because our systems directly influence health outcomes for millions of patients, maintaining the highest standards of production quality is imperative. This is an automation-first role: you will use AI tools to continuously convert manual operational work into monitored, hands-free processes, so the role gets more leveraged as you build. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do: Run the Machine: Own the end-to-end reliability, performance, and resilience of Garner's cloud environments (AWS, Kubernetes), including those powering AI/ML workloads; define, measure, and uphold SLOs across our critical services. Lead Incident Response: Serve in the on-call rotation, lead incident response, and drive deep-dive root cause analysis, seeing corrective actions through to resolution and rigorously reviewing infrastructure changes. Own Observability: Build and maintain the monitoring, alerting, and observability systems that let us detect and resolve issues before users feel them. Scale & Optimize: Translate ambiguous, high-performance scaling requirements into well-defined, automated, and composable infrastructure-as-code deliverables (Terraform); proactively identify and implement cost-efficiency and performance gains across the stack to maximize cloud ROI. Automate Away Toil: Pay down impactful tech debt and reduce operational toil, using AI tools and automation to convert repetitive operational work into hands-free, monitored processes, and holding our internal platform to the same rigorous standards as our customer-facing products. Enable Engineering: Build and maintain the deployment and observability standards that empower the broader engineering team to ship AI features faster and more reliably; communicate complex cloud and reliability concepts clearly to technical and non-technical stakeholders. Uphold Security & Compliance: Ensure our infrastructure and operations meet Garner's security and HIPAA compliance obligations. The ideal candidate has: 4+ years of hands-on experience operating production cloud infrastructure at scale in an SRE, DevOps, or platform engineering role. Deep expertise with Kubernetes and Terraform in a cloud-first environment (AWS preferred). A strong track record with production observability: defining SLOs, building monitoring and alerting, and leading incident response and blameless post-incident reviews. Strong software engineering fundamentals in Python or Go, applied to infrastructure automation (experience with Kubernetes APIs a plus). Experience driving cloud cost-efficiency and performance optimization across compute, storage, and networking. Experience supporting AI/ML or data-intensive workloads in production is a plus. Experience operating in a security-conscious or regulated environment (HIPAA, SOC 2) is a plus. Fluency with AI tools (e.g., Claude) applied to real engineering and operations workflows, or strong motivation to build it fast. A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback. Technologies we use: AWS, Kubernetes, Terraform, Istio, Python, Go, TypeScript, Postgres, NATS, Datadog, GitLab This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. We are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target range for this position is 191 000.00. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use and email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .
Job Description Job Description Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough
09/22/2026
Full time
Job Description Job Description Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough
Job Description Job Description Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values-Stay Curious, Have Empathy, and Be Accountable-and are ready to make a significant impact, we encourage you to apply. Your Role: As a Site Reliability Engineer at Alpaca, you'll help keep our brokerage platform reliable, observable, and operable as we grow - working across our cloud infrastructure, Kubernetes platform, observability stack, messaging layer, and data layer. We're especially interested in candidates with strong PostgreSQL fundamentals who'd like to grow into deeper ownership of our database reliability posture: PostgreSQL sits on the trading-critical path, and we want this person to spend a meaningful share of their time leveling it up while still being a well-rounded SRE the rest of the week. Things You Get To Do Operate production day-to-day - oncall, incident response, postmortems, and the follow-ups that actually close the loop. Own reliability practice - define and refine SLIs/SLOs and error budgets, and help product teams live within them. Strengthen our observability across metrics, logs, traces, and alerting. Ship infrastructure through code in a GitOps workflow - cloud resources and Kubernetes workloads alike. Look after PostgreSQL : performance tuning, schema and migration review, online migrations on large tables, HA/DR, and CDC pipelines. Mentor engineers on reliability and database fundamentals through code review, design review, and pairing. Who You Are (must-haves) 4+ years in SRE, DevOps, Platform/Infrastructure, or backend engineering with significant production operations ownership. Hands-on experience operating production services on Kubernetes , and shipping infrastructure as code in a GitOps workflow. Solid working knowledge of PostgreSQL in production - query plans, pg_stat_ , indexing and schema trade-offs, and what a safe online migration looks like on a non-trivial table. Cloud networking fundamentals (VPCs, routing, L4/L7 load balancing, DNS, TLS) and comfort debugging cross-service connectivity. Comfortable with a modern observability stack and proficient with Linux at the operator level. Practiced in incident response - calm under pressure, structured debugging, postmortems that drive change. At least working proficiency in Go or Python , plus strong written and verbal communication. Genuine interest in databases and in growing your PostgreSQL/DBA expertise. Who You Might Be (Nice-to-Haves): Deeper PostgreSQL experience: large clusters at OLTP load, online migrations on big tables, HA/DR ownership, connection pooling at scale, or change-data-capture pipelines. Experience with typed SQL access layers in Go (e.g. pgx, gorm, sqlc). Production experience with messaging systems at scale (e.g. RabbitMQ, Kafka, Redpanda). Security & compliance experience in a regulated environment (SOC 2, secrets management, audit logging). Familiarity with trading, brokerage, or other regulated fintech domains. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy
09/22/2026
Full time
Job Description Job Description Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values-Stay Curious, Have Empathy, and Be Accountable-and are ready to make a significant impact, we encourage you to apply. Your Role: As a Site Reliability Engineer at Alpaca, you'll help keep our brokerage platform reliable, observable, and operable as we grow - working across our cloud infrastructure, Kubernetes platform, observability stack, messaging layer, and data layer. We're especially interested in candidates with strong PostgreSQL fundamentals who'd like to grow into deeper ownership of our database reliability posture: PostgreSQL sits on the trading-critical path, and we want this person to spend a meaningful share of their time leveling it up while still being a well-rounded SRE the rest of the week. Things You Get To Do Operate production day-to-day - oncall, incident response, postmortems, and the follow-ups that actually close the loop. Own reliability practice - define and refine SLIs/SLOs and error budgets, and help product teams live within them. Strengthen our observability across metrics, logs, traces, and alerting. Ship infrastructure through code in a GitOps workflow - cloud resources and Kubernetes workloads alike. Look after PostgreSQL : performance tuning, schema and migration review, online migrations on large tables, HA/DR, and CDC pipelines. Mentor engineers on reliability and database fundamentals through code review, design review, and pairing. Who You Are (must-haves) 4+ years in SRE, DevOps, Platform/Infrastructure, or backend engineering with significant production operations ownership. Hands-on experience operating production services on Kubernetes , and shipping infrastructure as code in a GitOps workflow. Solid working knowledge of PostgreSQL in production - query plans, pg_stat_ , indexing and schema trade-offs, and what a safe online migration looks like on a non-trivial table. Cloud networking fundamentals (VPCs, routing, L4/L7 load balancing, DNS, TLS) and comfort debugging cross-service connectivity. Comfortable with a modern observability stack and proficient with Linux at the operator level. Practiced in incident response - calm under pressure, structured debugging, postmortems that drive change. At least working proficiency in Go or Python , plus strong written and verbal communication. Genuine interest in databases and in growing your PostgreSQL/DBA expertise. Who You Might Be (Nice-to-Haves): Deeper PostgreSQL experience: large clusters at OLTP load, online migrations on big tables, HA/DR ownership, connection pooling at scale, or change-data-capture pipelines. Experience with typed SQL access layers in Go (e.g. pgx, gorm, sqlc). Production experience with messaging systems at scale (e.g. RabbitMQ, Kafka, Redpanda). Security & compliance experience in a regulated environment (SOC 2, secrets management, audit logging). Familiarity with trading, brokerage, or other regulated fintech domains. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy
Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace . click apply for full job details
09/22/2026
Full time
Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace . click apply for full job details
Job Description Job Description Senior .NET Engineer (multiple) U.S.-Based Applicants Only authorized to work for any employer (NO Sponsorship Provided) Referral Bonus Available - bring a friend! TeamBuilder is a rapidly growing healthcare SaaS company on a mission to modernize healthcare scheduling and workforce management. We are builders, executors, and big thinkers who want to solve real world problems. We win as one team. We're actively looking for multiple Senior .NET Engineers who want to take your engineering team to the next level. The ideal candidate thrives in a growing, tight-knit, fast paced environment and has experience scaling from zero to hundreds of thousands of users efficiently and cost effectively. Key personal attributes Quick study who can hit the ground running Strong critical thinker that can balance competing priorities Comfortable presenting, and pressure testing ideas You take pride in the quality and resiliency of your code - even when using AI You lead by example (not just by title) Equally committed to making your teammates successful (as yourself) Comfortable navigating uncertainty and trying new approaches You care as much about optimization, reliability and scalability as you do about building new things You like to ship working solutions with modern technology without overengineering Required skills/experience/qualifications Excellent written and verbal communication skills Experience working in teams with a mixture of onshore/offshore contributors A strong individual contributor but also able to effectively coach and unlock others Bachelor's degree in Computer Science, Software Engineering, or related field In-depth understanding of software engineering design and architectural patterns, including microservice architectures Adept at applying GenAI workflows to enhance your software development and testing efforts 8+ years' professional experience with .NET stack (C#, .NET, Entity Framework), SQL, and Redis 3+ years experience working with SignalR and Distributed Event Bus 3+ years' experience implementing Domain Driven Design (DDD) patterns 3+ years experience configuring and maintaining Microsoft Azure cloud services Advanced understanding of and ability to effectively use Git to manage code in a multi-developer environment Strong familiarity using and configuring CI/CD pipelines, ideally in Microsoft DevOps Nice to have You've come from a start-up that serves large enterprise clients Master's or other postgraduate degree Some exposure to machine learning / AI React / NextJS frontend skills Big data / analytics Principal duties and responsibilities Help drive technical excellence and standards within the team Develop well-written and documented code in both existing and new systems and platforms Support ongoing monitoring, maintenance and support of key infrastructure Design and apply manual tests and test-automation suites to minimize defects Provide sound recommendations on architectural choices leveraging significant prior experience and analysis of technical/business goals Develop well-written technical documentation to clarify requirements, improve code traceability, and enable cross-pollination of knowledge Apply good practice methodologies and techniques, such as story points, to quantify and estimate effort as accurately as possible Consistently attend sprint planning and stand-up calls to ensure alignment of priorities and effective troubleshooting support Proactively communicate feedback, issues, risks and status in a timely manner Assist in the training and development of other engineers Collaborate cross-functionally with product owners, data scientists, business users, project managers, and other engineers to achieve overall engineering and company goals effectively and in a timely manner Research and learn new technologies as needed to deliver technical solutions Actively participate in retrospectives of work done that assess code quality, system design, infrastructure, development processes, or client and consumer concerns Compensation / Benefits Powered by JazzHR azf7ADhdlq
09/22/2026
Full time
Job Description Job Description Senior .NET Engineer (multiple) U.S.-Based Applicants Only authorized to work for any employer (NO Sponsorship Provided) Referral Bonus Available - bring a friend! TeamBuilder is a rapidly growing healthcare SaaS company on a mission to modernize healthcare scheduling and workforce management. We are builders, executors, and big thinkers who want to solve real world problems. We win as one team. We're actively looking for multiple Senior .NET Engineers who want to take your engineering team to the next level. The ideal candidate thrives in a growing, tight-knit, fast paced environment and has experience scaling from zero to hundreds of thousands of users efficiently and cost effectively. Key personal attributes Quick study who can hit the ground running Strong critical thinker that can balance competing priorities Comfortable presenting, and pressure testing ideas You take pride in the quality and resiliency of your code - even when using AI You lead by example (not just by title) Equally committed to making your teammates successful (as yourself) Comfortable navigating uncertainty and trying new approaches You care as much about optimization, reliability and scalability as you do about building new things You like to ship working solutions with modern technology without overengineering Required skills/experience/qualifications Excellent written and verbal communication skills Experience working in teams with a mixture of onshore/offshore contributors A strong individual contributor but also able to effectively coach and unlock others Bachelor's degree in Computer Science, Software Engineering, or related field In-depth understanding of software engineering design and architectural patterns, including microservice architectures Adept at applying GenAI workflows to enhance your software development and testing efforts 8+ years' professional experience with .NET stack (C#, .NET, Entity Framework), SQL, and Redis 3+ years experience working with SignalR and Distributed Event Bus 3+ years' experience implementing Domain Driven Design (DDD) patterns 3+ years experience configuring and maintaining Microsoft Azure cloud services Advanced understanding of and ability to effectively use Git to manage code in a multi-developer environment Strong familiarity using and configuring CI/CD pipelines, ideally in Microsoft DevOps Nice to have You've come from a start-up that serves large enterprise clients Master's or other postgraduate degree Some exposure to machine learning / AI React / NextJS frontend skills Big data / analytics Principal duties and responsibilities Help drive technical excellence and standards within the team Develop well-written and documented code in both existing and new systems and platforms Support ongoing monitoring, maintenance and support of key infrastructure Design and apply manual tests and test-automation suites to minimize defects Provide sound recommendations on architectural choices leveraging significant prior experience and analysis of technical/business goals Develop well-written technical documentation to clarify requirements, improve code traceability, and enable cross-pollination of knowledge Apply good practice methodologies and techniques, such as story points, to quantify and estimate effort as accurately as possible Consistently attend sprint planning and stand-up calls to ensure alignment of priorities and effective troubleshooting support Proactively communicate feedback, issues, risks and status in a timely manner Assist in the training and development of other engineers Collaborate cross-functionally with product owners, data scientists, business users, project managers, and other engineers to achieve overall engineering and company goals effectively and in a timely manner Research and learn new technologies as needed to deliver technical solutions Actively participate in retrospectives of work done that assess code quality, system design, infrastructure, development processes, or client and consumer concerns Compensation / Benefits Powered by JazzHR azf7ADhdlq
Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace . click apply for full job details
09/22/2026
Full time
Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace . click apply for full job details
Job Description Job Description This role is on-site M-F in the Flatiron District - New York City, NY. Our client is a Series A point-of-sale software company in NYC. They move fast and ship daily. AI-assisted engineering isn't a talking point here; agents like Devin, Claude, and Codex are part of how the team works every day, and engineers who master that leverage ship multiples of what they could alone. About the Team Applied AI owns the intelligence layer, including aspects of Merchandising , Custom Reporting, Ecommerce, and Agentic workflows. This is the team behind our AI Manager - a suite of production agents that handle end-to-end workflows like retail pricing strategies, creating marketing campaigns, maintaining SEO (eCommerce) and developing custom reports that give store owners the insight they need to run a stronger business. This team also owns invoice OCR/CV (structured extraction from messy distributor invoices, with selectable LLM engines) and embedding-based product matching. Nothing here is a demo: every model output lands in front of a real store owner making a real pricing decision. About the Role You'll design, build, and iterate on the agents powering our core merchant experience. Working on this mission-critical team, you'll develop production agent and context-layer applications - turning each store's sales history, catalog, and market context into decisions that make independent retailers money. You'll own your models from research to production, and your work ships into stores the same week. In this role, you will Apply state-of-the-art ML and LLM techniques to problems spanning: Merchandising intelligence (slow-mover detection, price and promotion recommendation, competition and seasonality signals); Document understanding (invoice OCR and structured extraction across LLM engines); Retrieval and ranking (embedding-based product matching on pgvector, catalog dedup, contextual recommendations) Build agent capabilities on top of our Manager Agent platform - task generation, review workflows, and chat over each store's own data Build the evaluation harness for both offline and online techniques, designing experiments and metrics (evals, QA playbooks, Langfuse tracing) that provide deep insight into recommendation quality and merchant impact Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online testing, and iterative improvement - and build autonomous harnesses that let agent squads explore new problem spaces in parallel Collaborate cross-functionally with engineers, PMs, and store owners to ensure our AI drives measurable improvements in merchant revenue and hours saved Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research, models, and techniques into the product lifecycle Your background looks something like this 5+ years building and shipping robust AI products for large-scale, user-facing or data-driven products Strong software engineering skills (TypeScript and/or Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large-scale parallel development In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring and improvement Proven collaborator and communicator; excels in high-velocity, cross-functional teams Curious, driven by end-user and product impact, and passionate about advancing the state of applied ML and AI BS, MS, or PhD in Computer Science, Engineering, or a related field (or equivalent experience) Even better Experience with LLM context engineering or harness engineering Experience in mid-training or post-training frontier open-source models Experience with large-scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking) Experience with LLM observability and eval tooling (Langfuse or similar) in production Familiarity with our stack: Next.js, tRPC, Prisma, PostgreSQL with pgvector, Vercel Retail, pricing, or demand-forecasting domain experience - you know why moving a slow SKU matters to a store's cash flow Compensation $220k - $300k + Meaningful equity This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and scope of responsibilities. In addition to base salary, we offer meaningful early-stage equity - this team's work is the foundation the company compounds on. Bonuses can be upward of 50% of base salary based on personal and company performance as well. Benefits Fully company-covered medical and dental benefits. 401(k) Catered Lunches and Dinners: We provide dinner each evening for employees who would like to eat and connect with the team. Lunch is provided on a weekly basis.
09/22/2026
Full time
Job Description Job Description This role is on-site M-F in the Flatiron District - New York City, NY. Our client is a Series A point-of-sale software company in NYC. They move fast and ship daily. AI-assisted engineering isn't a talking point here; agents like Devin, Claude, and Codex are part of how the team works every day, and engineers who master that leverage ship multiples of what they could alone. About the Team Applied AI owns the intelligence layer, including aspects of Merchandising , Custom Reporting, Ecommerce, and Agentic workflows. This is the team behind our AI Manager - a suite of production agents that handle end-to-end workflows like retail pricing strategies, creating marketing campaigns, maintaining SEO (eCommerce) and developing custom reports that give store owners the insight they need to run a stronger business. This team also owns invoice OCR/CV (structured extraction from messy distributor invoices, with selectable LLM engines) and embedding-based product matching. Nothing here is a demo: every model output lands in front of a real store owner making a real pricing decision. About the Role You'll design, build, and iterate on the agents powering our core merchant experience. Working on this mission-critical team, you'll develop production agent and context-layer applications - turning each store's sales history, catalog, and market context into decisions that make independent retailers money. You'll own your models from research to production, and your work ships into stores the same week. In this role, you will Apply state-of-the-art ML and LLM techniques to problems spanning: Merchandising intelligence (slow-mover detection, price and promotion recommendation, competition and seasonality signals); Document understanding (invoice OCR and structured extraction across LLM engines); Retrieval and ranking (embedding-based product matching on pgvector, catalog dedup, contextual recommendations) Build agent capabilities on top of our Manager Agent platform - task generation, review workflows, and chat over each store's own data Build the evaluation harness for both offline and online techniques, designing experiments and metrics (evals, QA playbooks, Langfuse tracing) that provide deep insight into recommendation quality and merchant impact Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online testing, and iterative improvement - and build autonomous harnesses that let agent squads explore new problem spaces in parallel Collaborate cross-functionally with engineers, PMs, and store owners to ensure our AI drives measurable improvements in merchant revenue and hours saved Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research, models, and techniques into the product lifecycle Your background looks something like this 5+ years building and shipping robust AI products for large-scale, user-facing or data-driven products Strong software engineering skills (TypeScript and/or Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large-scale parallel development In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring and improvement Proven collaborator and communicator; excels in high-velocity, cross-functional teams Curious, driven by end-user and product impact, and passionate about advancing the state of applied ML and AI BS, MS, or PhD in Computer Science, Engineering, or a related field (or equivalent experience) Even better Experience with LLM context engineering or harness engineering Experience in mid-training or post-training frontier open-source models Experience with large-scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking) Experience with LLM observability and eval tooling (Langfuse or similar) in production Familiarity with our stack: Next.js, tRPC, Prisma, PostgreSQL with pgvector, Vercel Retail, pricing, or demand-forecasting domain experience - you know why moving a slow SKU matters to a store's cash flow Compensation $220k - $300k + Meaningful equity This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and scope of responsibilities. In addition to base salary, we offer meaningful early-stage equity - this team's work is the foundation the company compounds on. Bonuses can be upward of 50% of base salary based on personal and company performance as well. Benefits Fully company-covered medical and dental benefits. 401(k) Catered Lunches and Dinners: We provide dinner each evening for employees who would like to eat and connect with the team. Lunch is provided on a weekly basis.
