24 jobs found

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence is seeking an experienced Senior Software Engineer to design, develop, integrate, and modernize enterprise software solutions. This role focuses on application development, software architecture, cloud-native technologies, AI-enabled automation, systems integration, and advanced analytical capabilities that improve mission readiness, logistics, sustainment, and supply chain operations. The successful candidate will build scalable software applications, APIs, enterprise services, automation tools, and AI-enabled capabilities that transform complex operational and logistics information into mission-focused software solutions. This position offers the opportunity to work across software engineering, cloud technologies, DevSecOps, automation, and enterprise analytics while supporting one of the Department of Defense's most critical aviation programs. The ideal candidate is a senior-level software engineer with strong programming experience, modern application development expertise, and a passion for building innovative solutions that drive operational effectiveness and mission success. Responsibilities include, but are not limited to the duties listed below Software Engineering & Architecture Design, develop, test, and deploy scalable, secure enterprise software, APIs, and microservices. Design secure, cloud-native software architectures, and contribute to architecture decisions across the stack. Support deployment through containers and CI/CD, and modernize legacy systems through automation and cloud-enabled technologies. Apply engineering best practices - source control, automated testing, code review, documentation. Ensure compliance with secure software development standards and Government cybersecurity requirements Support monitoring, troubleshooting, and operational sustainment of production systems. AI & Intelligent Automation Build and integrate AI-enabled capabilities - including generative AI, LLMs, RAG, and agentic workflows - into production systems, with secure integration into approved AI platforms. Apply AI-assisted development tools to improve engineering velocity and code quality. Evaluate emerging AI and automation technologies and drive their practical adoption. Impact & Collaboration Translate complex operational requirements into production-ready software, working directly with analysts and stakeholders. Build forecasting, modeling, and decision-support tools that turn data into operational insight. Provide technical leadership and mentorship, and help shape engineering standards across the team. Requirements U.S. Citizenship with the ability to obtain a Secret Security Clearance. Bachelor's degree in a related technical field Significant professional experience in software engineering, application development, systems engineering, automation, or related technical disciplines. Demonstrated expertise in one or more modern programming languages such as Python, Java, C#, or JavaScript/TypeScript, with recent hands-on experience developing production software. Experience designing, developing, testing, deploying, and maintaining enterprise software applications and services. Experience developing APIs, distributed systems, microservices, or service-oriented architectures. Experience with software architecture, object-oriented design, and software development lifecycle best practices. Experience working in Agile software development environments, including Scrum or Kanban. Experience developing and deploying applications in cloud environments such as AWS, Azure, or GCP, including containerized or cloud-native applications. Experience integrating enterprise systems and developing mission-focused software solutions. Strong problem-solving, communication, technical writing, and collaboration skills. Preferred Qualifications Experience with generative AI, large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, or AI-enabled application development. Familiarity with agentic AI frameworks, orchestration platforms, and intelligent automation solutions. Experience developing mission applications that incorporate analytics, forecasting, optimization, or decision-support capabilities. Why This Role Matters Mission-Critical Impact - Build software solutions that directly improve mission readiness, logistics, sustainment, and operational effectiveness. Modern Engineering Environment - Work with cloud technologies, DevSecOps, AI-enabled capabilities, automation frameworks, and modern software architectures. Innovate with Purpose - Develop mission-focused applications that help transform data into actionable insights and operational outcomes. Collaborative Technical Culture - Partner with engineers, AI specialists, mission experts, and Government stakeholders to solve complex challenges. Professional Growth - Expand your expertise across software engineering, cloud, AI, automation, and defense mission support while contributing to one of the world's most advanced aviation programs. Salary Range: $170,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources

What happens when you combine startup speed with Amazon-scale impact? You get this team. Amazon Enterprise Security Products is a newly launched group building intelligent, cloud-agnostic security tools using AI-first development practices. Here, you build AI and you build with AI - at the same time. This is not a traditional SDE role. It's a chance to shape the future of security tooling with a small, fast team that ships like a startup and deploys like Amazon. Key job responsibilities Design, build, and ship AI-powered security products: Own the full lifecycle from architecture through production deployment of large-scale, multi-tiered distributed systems that protect AWS Customers. Leverage agentic AI development practices to accelerate every phase. Engineer end-to-end, full-stack experiences: Build across the entire stack with intuitive front-end interfaces, robust back-end services and REST APIs, and intelligent middleware. Deploy on AWS while designing for cloud-agnostic, multi-cloud environments so customers are protected wherever they operate. What you build: Design and implement the intelligent systems customers interact with - agentic architectures, conversational interfaces, and automation workflows that make AI-first security real at scale. How you build: Use AI tools and techniques (established and experimental) to write, test, review, and ship code faster. Multiplying your own velocity, quality, and creative output across greenfield and brownfield projects. Plan, estimate, and drive delivery: Lead implementation planning, effort estimation, and phased rollouts across systems and operations; you own outcomes with the autonomy and accountability expected in a high-trust startup environment. Prototype rapidly and innovate relentlessly: Validate hypotheses with customers, iterate quickly, and bring a builder's mindset every day. The best idea wins here regardless of where it comes from. Partner across disciplines: Work directly with security researchers, applied scientists, product managers, and UX designers to shape product direction and turn customer needs into technical solutions. Small team means short lines between you and the decision. Own operational excellence: Participate in on-call rotations, drive root-cause analysis, and continuously raise the bar on reliability, performance, and security of the systems you build. You ship it, you run it Elevate the team - and yourself: Contribute to technical reviews, mentor teammates, and champion AI-first development practices. You'll build the engineering culture of a fast-growing team from the ground floor, and in the process become the kind of engineer who has shaped a product, scaled an organization, and defined how modern security software gets built. A day in the life No two days look the same on this fast growing, AI first development team. You might start your morning reviewing output from overnight agentic coding sessions, then dive into building a RAG pipeline or designing APIs that connect intelligent interfaces to real time threat data across multiple clouds. After lunch, you join a design session with senior and principal engineers where your ideas carry weight regardless of title. You own features end to end, ship using the latest AI assisted development workflows, and see your work reach production fast. This is where builders thrive. About the team Amazon Enterprise Security Products is built by builders who tackle challenges others might consider too ambitious. We're a small team where there are no layers between you and the decision, no waiting quarters to see your work reach customers. Every team member brings an owner's mentality. If there's a problem worth solving, we solve it. No mission is beyond reach, no detail beneath our attention. We move fast, we ship fast, and we learn from what we ship. This is where builders who want to make the impossible routine come to do their best work. Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - Experience in AI assisted or agentic coding practices PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience building agentic coding processes (Ralph loop, parallelized agentic development, etc.) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Austin - 143 400.00 USD annually

Job Description Job Description solutions involving LLMs, agentic workflows, LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems. Python, JavaScript/TypeScript, or similar languages commonly used in AI application development. Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position. Required: Must be a US Citizen Must have TS/SCI clearance w/ active polygraph Requires current CI poly within last seven (07) years. Eighteen (18) years of experience with a Bachelors Degree; experiencing providing technical advisory support for the design, evaluation, and advancement of applications, tools, and workflows. Degree in Systems Engineering, Computer Science, Engineering, Data Science, Mathematics, or related field. Experience designing, building, integrating, or evaluating AI/ML-enabled applications or software tools. Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows. Working knowledge of one or more agentic or orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems. Experience with software development fundamentals, APIs, data handling, and system integration. Ability to assess technical tradeoffs and communicate them clearly to both engineers and government stakeholders. Strong written and verbal communication skills. These Qualifications Would be Nice to Have: Experience with Python, JavaScript/TypeScript, or similar languages commonly used in AI application development. Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses. Exposure to model hosting, inference pipelines, or cloud-based AI development environments. Understanding of secure AI development practices, data protection, and operational constraints in government settings. Experience supporting defense, cyber, intelligence, or mission application development. Familiarity with human-in-the-loop workflows, AI assurance, and evaluation methodologies. The pay range for this job, with multi-levels, is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. The benefits package: • Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA • Comprehensive Dental insurance • Vision with 80% employer paid premium • Employer paid Life insurance 100% • Employer paid Short-term and Long-term disability 100% • Annual training, continued education, and professional memberships reimbursement • Unlimited access to Red Hat Enterprise Linux and AWS training and accreditation • Annual reimbursement for technology i.e. phones, computers, printers, etc. • 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment) The environment and perks: • Professional development investment and paid time off for training • Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, Florida and Hawaii. • Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers • Leadership Team engagement and mentorship • Performance Recognition Program • Complimentary branded apparel Don't see a job opening that's the perfect fit? Apply to our General Position to join our talent pool for consideration for future opportunities. Know someone else who may be a good fit? Refer them through the CTI External Referral Program and you could receive a one-time referral bonus of up to $10,000 ! Email for more information. Constellation Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Job applicants can submit questions about CTI's equal employment opportunity policy to . We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description solutions involving LLMs, agentic workflows, LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems. Python, JavaScript/TypeScript, or similar languages commonly used in AI application development. Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position. Required: Must be a US Citizen Must have TS/SCI clearance w/ active polygraph Requires current CI poly within last seven (07) years. Eighteen (18) years of experience with a Bachelors Degree; experiencing providing technical advisory support for the design, evaluation, and advancement of applications, tools, and workflows. Degree in Systems Engineering, Computer Science, Engineering, Data Science, Mathematics, or related field. Experience designing, building, integrating, or evaluating AI/ML-enabled applications or software tools. Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows. Working knowledge of one or more agentic or orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems. Experience with software development fundamentals, APIs, data handling, and system integration. Ability to assess technical tradeoffs and communicate them clearly to both engineers and government stakeholders. Strong written and verbal communication skills. These Qualifications Would be Nice to Have: Experience with Python, JavaScript/TypeScript, or similar languages commonly used in AI application development. Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses. Exposure to model hosting, inference pipelines, or cloud-based AI development environments. Understanding of secure AI development practices, data protection, and operational constraints in government settings. Experience supporting defense, cyber, intelligence, or mission application development. Familiarity with human-in-the-loop workflows, AI assurance, and evaluation methodologies. The pay range for this job, with multi-levels, is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. The benefits package: • Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA • Comprehensive Dental insurance • Vision with 80% employer paid premium • Employer paid Life insurance 100% • Employer paid Short-term and Long-term disability 100% • Annual training, continued education, and professional memberships reimbursement • Unlimited access to Red Hat Enterprise Linux and AWS training and accreditation • Annual reimbursement for technology i.e. phones, computers, printers, etc. • 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment) The environment and perks: • Professional development investment and paid time off for training • Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, Florida and Hawaii. • Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers • Leadership Team engagement and mentorship • Performance Recognition Program • Complimentary branded apparel Don't see a job opening that's the perfect fit? Apply to our General Position to join our talent pool for consideration for future opportunities. Know someone else who may be a good fit? Refer them through the CTI External Referral Program and you could receive a one-time referral bonus of up to $10,000 ! Email for more information. Constellation Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Job applicants can submit questions about CTI's equal employment opportunity policy to . We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we're inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive-and rapidly growing. We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more. Our Values Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down. Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today. Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate. Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same. Safety First: We act with integrity, transparency, and consistency so people feel safe-whether they're swiping, matching, or working alongside us. Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters. The Team or Role Recs Experience turns Tinder's recommendation systems into flexible, reliable, and easy-to-use product capabilities that power better experiences across the app. We simplify the complexity of recommendations so teams can build with them confidently, while helping members find more relevant connections faster through clearer, more personalized, and more responsive experiences. As a Software Engineer II on iOS within Recs Experience, you'll help build the experiences that shape who Tinder members see, how recommendations appear, and how profiles turn into matches and conversations. You'll partner closely with backend engineers to deliver features end to end-connecting recommendation logic, APIs, and experiments to polished iOS experiences, analytics, and quality validation. You'll grow your iOS and recommendations-domain expertise while helping a collaborative, full-stack team improve discovery for millions of members worldwide. The team is engineering-led and works closely with Recs ML and Infrastructure, Product, Data Science and Analytics, Design, QA, and engineering partners across Tinder. Where you'll work: This is a hybrid role based in Palo Alto, California, and requires in-office collaboration three times per week. In this role, you will: Contribute to the architecture, design, and implementation of consumer-facing recommendation features in the Tinder iOS app. Build polished, intuitive experiences that connect recommendation logic, APIs, experiments, analytics, and quality validation for millions of members worldwide. Own well-scoped features and components from planning and implementation through testing, experiment launch, and validation, with increasing independence. Collaborate closely with iOS and backend engineers, Product, Design, Data Science and Analytics, QA, ML, Infrastructure, and partner teams across Tinder. Write maintainable, well-tested Swift code and help protect app health, performance, reliability, and member experience. Investigate bugs and quality issues using a structured approach, identify root causes, and add appropriate tests or monitoring to reduce regression risk. Contribute to shared frameworks, technical improvements, code reviews, and engineering practices that make the team more effective. Communicate progress, risks, dependencies, and technical tradeoffs clearly and proactively. Develop expertise in Tinder's iOS architecture and recommendation systems while progressing toward broader, end-to-end project ownership. Use AI-assisted development tools effectively and responsibly to improve prototyping, implementation, testing, delivery speed, and quality. You'll need: Approximately 2+ years of professional experience building and shipping production, consumer-facing applications with native iOS technologies. Proficiency in Swift and modern iOS development, including SwiftUI and Swift Concurrency. Experience using Xcode and the iOS SDK throughout the application-development lifecycle. Experience consuming REST APIs and integrating mobile features with backend services. Experience with Git and collaborative development workflows such as pull requests and code reviews. Ability to write testable, maintainable code using Swift Testing, XCTest, or similar tools. Solid debugging and code-quality fundamentals, including the ability to give and receive actionable code-review feedback. Clear, solution-oriented communication and a willingness to learn and collaborate in a cross-functional environment. An ownership mindset with the ability to deliver well-scoped work, surface risks, and follow through from implementation to launch validation. Nice to have: Experience with UIKit, Objective-C, or Combine in an existing production codebase. Familiarity with modular iOS architectures or dependency-injection approaches, including MDI, MDUI, Nodes, or Needle. Experience with Bazel, Swift Package Manager, XCUITest, CI/CD pipelines, or mobile monitoring tools. Experience with experimentation platforms, product analytics, design systems, or feature-flagged releases. Experience building recommendation, discovery, personalization, social, messaging, marketplace, or other feature-rich consumer experiences at scale. Familiarity with AI-assisted development tools and responsible practices for validating generated or unfamiliar code and protecting sensitive information. A BS or MS in Computer Science, Engineering, or a related discipline is welcome but not required; demonstrated proficiency in modern iOS technologies and principles matters most. The salary range for this position is $140,000 - $160,000. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Palo Alto, California. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. As a full-time employee, you'll enjoy: Flexible Vacation, 10 Sick Days Time off to volunteer and charitable donations matched up to $15,000 annually Comprehensive health, vision, and dental coverage 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP) 100% paid parental leave (including for non-birthing parents) and family forming benefits Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development Investment in your wellness: access to mental health support via Modern Health, paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy Free subscription to Tinder Gold Commitment to Inclusion At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. .

Job Description Job Description ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with our clients - spanning software, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world-class satisfaction (NPS 91). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale. This is a full-time, Columbus, OH-based position that requires onsite visits with the client 5 days a week. ImagineX is seeking a proactive, hands-on engineer/technical project manager to run our DevOps and Site Reliability Engineering (SRE) projects. In this role, you will combine a strong technical engineering background with natural leadership capabilities, driving operational excellence through three core pillars: CI/CD automation & code quality, observability & metrics, and comprehensive engineering management. Core Focus Areas: CI/CD Pipelines & Code Quality: Spearhead pipeline automation, release engineering, and deployment strategies while ensuring engineering teams adhere to proper coding standards, maintain clean architecture, and implement robust automation frameworks. Observability & Metrics: Drive data-driven reliability by establishing and overseeing advanced observability frameworks-including metrics, logging, tracing, and SLO/SLI tracking-to proactively detect issues and optimize system performance. Engineering Leadership & Stakeholder Management: Leverage your deep engineering experience to manage, mentor, and organize high-performing technical teams, applying strong project management rigor while seamlessly bridging technical execution with executive and non-technical stakeholders. Key Responsibilities: Engineering & Team Management: Direct management of DevOps and SRE engineers. Drive performance management, career development, resource allocation, and day-to-day organization/project management. CI/CD & Technical Oversight: Oversee the architecture and setup of robust CI/CD pipelines, deployment automation, and infrastructure modernization, ensuring engineering teams maintain proper coding practices and technical rigor. Observability & Reliability Frameworks: Champion system visibility by architecting comprehensive observability, monitoring, and metrics solutions to ensure high availability and rapid incident response. Stakeholder Engagement & Communication: Act as the primary technical liaison between client leadership, executive sponsors, and the core delivery team. Translate complex engineering concepts into clear business outcomes for non-technical stakeholders while managing expectations and removing blockers. Practice Growth & Delivery Proactivity: Proactively identify delivery risks, architectural bottlenecks, and opportunities for continuous improvement across software, data, and AI solutions. Qualifications & Experience Engineering & Technical Background: 5+ years of hands-on engineering experience in software, DevOps, or SRE, combined with leadership in technical program management or engineering management. CI/CD & Coding Expertise: Demonstrated experience designing, setting up, and optimizing CI/CD pipelines, paired with a strong understanding of proper coding standards, code quality, and infrastructure-as-code principles. Observability Mastery: Deep familiarity with modern observability stacks, metrics-driven monitoring, telemetry, logging, and tracing tools (e.g., Prometheus, Datadog, Grafana, OpenTelemetry). Stakeholder & People Leadership: Exceptional organizational and communication skills with a proven track record of leading technical teams and successfully interfacing with both technical engineers and non-technical business stakeholders. Proactive Drive: Self-starter mindset with the ability to build structure out of ambiguity, champion best practices, and drive continuous improvement initiatives independently. This role is based in the US and only open to citizens and permanent residents of the US who do not require visa sponsorship. Powered by JazzHR qRjYF92OYJ

Job Description Job Description Senior Functional and Automated Tester - Minimum of 13 years of experience (Location is Remote): Description: The Senior Functional and Automated Tester plans, designs, and executes functional and automated testing for modern applications, with a focus on quality, security, performance, and operational readiness. This role works closely with product, development, DevSecOps, and stakeholders to ensure solutions meet business requirements and are released with confidence. The tester leads test strategy and automation approaches, drives defect prevention through early engagement, and helps establish consistent testing standards across teams and projects. Key Responsibilities Lead or contribute to project planning by identifying testing scope, risks, environment needs, test data requirements, and tooling to support delivery timelines. Translate business and technical requirements into test strategies, test plans, and detailed test cases, covering functional, integration, regression, performance, and security-related validation. Design and build automated tests (unit, API, integration, and user interface) using a disciplined approach that supports repeatable and reliable execution within a continuous integration/continuous delivery (CI/CD) pipeline. Perform hands-on functional testing of workflows, edge cases, data validations, and error handling; verify that solutions meet user and operational expectations. Validate event/message-based services and distributed workflows, including systems that use message queues such as Apache Kafka, ensuring correct processing, resiliency, and traceability. Test and validate API-centric and cloud-friendly designs (microservices, serverless applications), including backward compatibility, contract expectations, and integration with internal and external partners. Partner with DevSecOps and engineering teams to ensure consistent application of development standards, procedures, and processes, including secure development expectations. Support system compatibility and environment readiness by coordinating with technical teams on test environments, deployments, configuration changes, and release readiness. Apply data security procedures in testing activities; identify potential data security risks and ensure defects and risks are documented, escalated, and tracked through resolution. Produce and maintain clear testing documentation (test evidence, defect reports, dashboards, charts/diagrams, and runbooks as needed) suitable for leadership and audit reviews. Drive defect triage and root-cause analysis with developers and stakeholders; verify fixes and help implement preventative quality controls. Promote strong operational practices including observability validation (logging, metrics, tracing), performance baselines, and readiness checks. Use AI-assisted development and testing workflows (where approved) to accelerate test creation, analysis, and triage while maintaining quality and security expectations. Perform other job-related duties assigned to support delivery and operational goals. Required Skills Strong experience leading and executing functional testing and test automation across the software development lifecycle. Proven ability to define and implement an effective test strategy for distributed/cloud applications, including regression planning and release readiness. Experience with automated testing tools for unit, API, and user interface testing; familiarity with test-driven development (TDD) concepts and automation-first approaches. Experience working in CI/CD pipeline environments using source code management and build/deployment tooling (for example: GitLab, Jenkins) within a DevSecOps/SecDevOps culture. Working knowledge of secure coding and secure engineering expectations, including risk identification and validation of security controls. Experience validating message/event-driven systems, including Kafka-based workflows and asynchronous processing behaviors. Experience testing API-centric architectures such as microservices and serverless applications, including contract validation and integration testing. Cloud and data pipeline familiarity, including one or more of the following: Dataflow, Pub/Sub, Redis. Strong troubleshooting skills, including analyzing logs/metrics/traces, isolating failures across components, and supporting defect triage. Solid technical fluency in one or more languages used for test automation and validation, such as Java, Python, SQL, and/or JavaScript (and familiarity with modern web stacks such as React is a plus). Knowledge of performance and reliability concepts, including performance tuning, multi-threading awareness, and validation of high observability principles. Strong communication and stakeholder management skills, including the ability to explain quality risks and recommendations clearly to technical and non-technical audiences. Preferred Qualifications Experience working in Agile delivery teams and applying Software Development Life Cycle (SDLC) practices. Familiarity with change/configuration management and lifecycle tooling (for example: VersionOne, ServiceNow) and Application Lifecycle Management (ALM) practices. Hands-on experience with containerization and orchestration (for example: Docker, Kubernetes), including security and environment considerations. Experience with Kubernetes security practices and testing in containerized production-like environments. Familiarity with AI-assisted development/testing tools such as OpenCode, Claude Code, and Gemini Vertex AI to improve efficiency in test creation and analysis (within approved governance). Experience producing test evidence and documentation suitable for audit or compliance reviews. Additional Required Skills/Experience • A minimum of Thirteen (13) years experience in software development, software quality assurance/control, and/or related field; • A degree from an accredited College/University in Software Engineering, Computer Science, or related discipline is preferred; • Able to perform all functional duties independently on high-visibility programs, or mission critical aspects of a given program; • Able to oversee the efforts of direct reporting resources and/or be responsible for the efforts of all staff assigned to a specific job; • Experience training/mentoring less experienced personnel; • Extensive knowledge of and experience with formal software testing for complex software applications; • Extensive experience testing software applications, identifying/documenting defects, and working with developers and end users to resolve defects; • Extensive experience with multiple defect tracking tools (e.g. Rational, Mercury); • Extensive experience authoring software-quality-related documentation such as requirements specifications, test plans, test cases, test scripts and test reports; • Able to obtain Postal clearance; • Excellent communication skills. Additional Provisions: • Pass both a client mandated clearance process to include drug screening, criminal history check and credit check. • Once candidate's resume is approved and interview passed, the agency is responsible for providing drug screening. Failure to submit the drug screening results will delay the security clearance process. • If a candidate is given an interim clearance, continuation of employment is then based on the candidate receiving a sensitive clearance. • All candidates must be a US Citizen, or have permanent residence status (Green Card). • Candidate must have lived in the US for the past 5 years. • Cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.) • All overtime must be pre-approved in writing by the client manager or his/her designated representative. • Agency will not be reimbursed for overtime charges without previous written authorization. Authorized overtime will be reimbursed at straight time. • The enforced dress code is business casual, i.e. collared shirt with slacks for men, no skirts above the knee for women. Place and Period of Performance • Hours of support: o The standard work week for contract staff will be 5 days a week and 8 hours per day preferable Monday through Friday. o Contract staff may be required to travel to support business efforts.

Job Description Job Description The Performance & Insights Engineer sits within SM Energy's Enterprise Performance & Insights team, reporting into the Chief Operating Officer organization, and works at the intersection of petroleum engineering, data engineering, and executive decision support. This role translates complex subsurface, operational, and financial data into high-impact analyses, models, and executive-ready deliverables that inform Investor Relations (IR) and Board of Directors (BOD) communications and advance critical strategic initiatives. Combining a working command of operational and asset engineering fundamentals with full-stack data wrangling and coding capability and modern AI-assisted workflows, the engineer independently frames ambiguous business problems, builds scalable end-to-end analytical solutions, and communicates insights persuasively to senior leadership. Operates under limited review while handling assignments of broad scope and complex difficulty; may mentor less experienced analysts and engineers and supervise their technical work. Essential Roles and Responsibilities Translate complex operational, development, and financial business problems into end-to-end analytical solutions - from data acquisition and pipeline through model, visualization, and executive-ready deliverable. Build, maintain, and optimize data pipelines, queries, and analytics data views across production, reservoir, financial, and capital-planning domains using SQL and Python; design and test scripts, stored procedures, functions, and views. Deliver executive and Board-ready artifacts through an agentic, AI-assisted workflow - directing tools such as Claude to build self-contained HTML dashboards, branded decks, and models from a spec, then refining them while retaining judgment over accuracy and design. Understanding of production and reservoir engineering fundamentals - decline curve analysis (DCA), rate/pressure transient analysis (RTA/PTA), volumetrics, EURs, artificial lift, and production optimization - to QA/QC data and pressure-test analytical results for physical reasonableness. Develop capital-efficiency, production-performance, operational KPIs, and economic metrics and models that support budgeting, forecasting, and strategic decision-making across operating regions. Design and produce executive-facing reporting - BOD slides, IR materials, and interactive dashboards - built to SM Energy brand standards. Leverage AI tools (e.g., large language model assistants such as Claude) to accelerate code development, data QA/QC, documentation, and analysis, applying sound engineering judgment to validate and stress-test AI-assisted output. Develop correlations between geological, completion, operational, and financial variables and well- and asset-level performance. Perform ad-hoc analyses; troubleshoot data-quality issues across the business; proactively identify potential issues and recommend solutions. Serve as a liaison across Operations, Finance, IR, Reservoir/Asset teams, and IT/Data - bridging deeply technical work and business audiences. Monitor production, capital, and financial data for discrepancies and opportunities; recommend operational and process improvements. Contribute to data governance, code documentation, change-release process, and best practices; educate others in support of a data- and AI-first culture. Manage and engage in multiple initiatives simultaneously; independently prioritize tasks and eliminate roadblocks to meet target deadlines. Conduct business with the highest ethical standards; demonstrate decision-making that ensures the safety of all people associated with SM facilities. Other duties as assigned. Role-Specific Technical Knowledge & Skills Petroleum Engineering. Working command of production operations, artificial-lift applications, and fundamental reservoir engineering disciplines - decline curve analysis, rate/pressure transient analysis, volumetrics, recoveries, EURs, and recovery factors. Understanding of unconventional resource plays across multiple basins/operating regions and familiarity with reserves, economics, AFE, and capital-planning workflows. Ability to identify limitations and ranges of certainty in a data set and to relate reservoir, completion, and operational characteristics to well performance. Data Engineering & Analytics. Advanced ability to wrangle, pre-process, and feature-engineer data and to connect data from disparate sources to surface insights, data-quality issues, and variable correlations. Sound applied-statistics foundation; competence with machine-learning concepts and frameworks a plus. End-to-end pipeline design that is cost-effective and scalable; strong code documentation and change-management discipline. AI-Augmented Delivery. Ability to integrate AI tools into daily delivery to compress cycle time while retaining engineering ownership of correctness - treating AI output as a draft to be verified, not a final answer. Understands data-security and data-privacy implications of AI-assisted and cloud-based workflows and accounts for them appropriately. Computer/Software Applications Programming & Analytics: Advanced SQL and Python (pandas, numpy, and related data ecosystem); R or comparable a plus. Data Platforms & Architecture: Data virtualization via Denodo; Snowflake and/or Databricks; Palantir Foundry; relational database design; ETL/ELT (dbt, SSIS); cloud environments (Azure, AWS). Visualization & Reporting: Governed enterprise BI (Power BI, Spotfire, or Tableau) for refreshing dashboards, plus bespoke interactive tools built as self-contained HTML dashboards (D3, Plotly, Recharts) that run anywhere without a license or server. Advanced PowerPoint and Excel for executive and Board deliverables, produced to SM Energy brand standards. Development Tools: Git/GitHub, modern IDEs (VS Code, PyCharm), notebooks (Jupyter), and fast dependency/environment management (uv, Poetry, conda). Comfortable in the agentic developer loop - coding assistants such as Claude Code, Cursor, or GitHub Copilot working inside the IDE/terminal, not used only as a side chat. Agentic Delivery: Fluent in AI-assisted artifact creation - directing agentic tools (e.g., Claude) to build branded HTML dashboards, PowerPoint decks, and Excel models end to end from a specification, then refining them iteratively. Applies SM's visual standards programmatically ("brand-as-code") so output is board-ready by default, and exercises judgment over layout, data integrity, and narrative clarity rather than accepting first-pass output. AI-Augmented Development: Fluent in an AI-native analytics workflow - uses LLM assistants (e.g., Claude) and agentic tools to accelerate development, QA/QC, refactoring, and documentation, always validating output against engineering judgment. Can leverage the Model Context Protocol (MCP) to connect AI agents securely to enterprise data and tools (e.g., querying Denodo or Snowflake, drafting Office deliverables) and platform-native AI such as Snowflake Cortex and Power BI Copilot, keeping data security and governance front of mind. Petroleum Engineering Software: Aries, Wellview, and Spotfire; exposure to RTA/PTA and production-analysis tools; reservoir simulation and frac models a plus. Education Bachelor's degree required in Petroleum, Chemical, or Mechanical Engineering; Data Science; Computer Science; Statistics; or a related quantitative field. A dual foundation in engineering and computing/data is strongly preferred. Advanced degree a plus. Typical Experience Minimum of 6 years of relevant experience. Experience should span both petroleum engineering (production/operations, and/or reservoir) and hands-on data/analytics development. Demonstrated delivery of executive- or Board-facing analytical work is strongly preferred. SM Energy offers competitive compensation and benefits programs which include, but are not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at Careers SM Energy Company (SM) (). Applications will be accepted on an ongoing basis until the position is filled.

Job Description Job Description About Client: The client provides information technology (IT) services, including business outsourcing, infrastructure technology, and application services. The application service offered by the company includes application development, maintenance, and support. The markets served by the company are financial services and insurance, healthcare, manufacturing, government, transportation, communications, and consumer and retail industries. Salary Range: $180K-$190K/Annum Job Description: Minimum 15 years of experience in building automated solutions to cover UI frontend, middle tier, and backend interfaces and services Leads the design and implementation of enterprise test automation frameworks, methodology and tool integration for all teams Provides automation expertise, training and coaching to team members Determines range and depth of activities required for developing or customizing complex test automation frameworks, researching and onboarding automation tools for IT Deliver a robust automation framework built upon established and proven open source or commercial tools to support Agile/Scrum development, DevOps and CI/CD Design and architect modular and reusable automated testing solutions that satisfy client requirements Research, evaluation, and deployment of new test tools Trains teams to implement expanded automation coverage by adding automated environment validation, smoke and functional test scripts to CI/CD pipeline Identifies and directs the implementation of test automation related improvements that positively impact software delivery across the enterprise Be familiar with various automated tests tools for both front end and back end testing Ability to lead workshops, including the gathering/documenting of requirements and use-cases and recommendation of envisioned processes Ability to assess functional and technical gaps in designs Support continuous improvement processes, analyzing problems and recommending actions for effective resolution Ability to adapt to a fast paced continually changing business and work environment while managing multiple priorities Design, develop and maintain API automation frameworks supporting authentication, request/response validation, schema validation, and integration with UI automation. Provide automation leadership, mentoring, technical guidance, and code reviews for automation engineers. Effectively utilize AI-assisted development tools to accelerate automation development while ensuring generated code meets enterprise coding, quality, and security standards. Promote automation best practices and continuous quality engineering across Agile development teams. Required Technical Skills: Playwright with TypeScript (Strong TypeScript coding experience) BDD automation using Cucumber Strong experience with .NET Core / .NET Framework applications API automation using Rest Assured or RestSharp Mobile testing using Appium with cloud platforms such as Sauce Labs, Perfecto, or BrowserStack. Exposure to Applitools, Jira integrations (AssertThat BDD, Zephyr, Xray), and Service Virtualization is a plus. Strong software engineering background with 5 7 years of experience. Strong proficiency in Python, with the ability to review, validate, debug, and optimize AI-generated code for enterprise use. Experience leveraging AI-assisted development tools such as GitHub Copilot, Claude, Cursor, or equivalent platforms. Expert AI/LLM framework LangChain/LangGraph, GCP/Azure, GraphDB/Vector Database Experience working with Spec-Driven Development methodologies. Hands-on experience with APIs, microservices, and modern application architectures. Professional Skills: Strong problem-solving and analytical capabilities. Customer-facing communication and consulting skills. Ability to work independently in fast-paced environments. Experience collaborating with cross-functional and distributed teams. Strong ownership mindset with a focus on measurable business outcomes. Preferred Qualifications: Experience in Banking & Financial Services (BFS) domain. Exposure to Agentic SDLC, Spec-Driven Development, or AI-assisted delivery models. Understanding of cloud-native architectures and platform engineering. About ApTask: ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment. If you have any concerns or queries about your personal information, please feel free to contact our compliance team at . Applicant Consent: By submitting your application, you agree to ApTask's () Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at or . Message frequency may vary. Msg & data rates may apply.

This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . 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. This role offers location flexibility and is open to candidates within one of four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidates based in the Dallas-Fort Worth (DFW) area will be hired in a hybrid capacity and are expected to work onsite at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated based on team needs and business priorities. About the Role The candidate will join the McKesson Pharmacy Systems (MPS) R&D organization. The Senior Software Engineer will be focused on driving sound technical design and architectural guidance for the EnterpriseRx platform, a comprehensive pharmacy workflow solution. The candidate will lead complex technical initiatives from design through delivery, applying deep hands-on expertise while mentoring peers and guiding teams through Agile ceremonies such as user story refinement, technical design discussions, and code reviews. The candidate will partner with cross-functional stakeholders including Product, QA, and Operations to drive scalable, high-quality software delivery, serving as a technical authority for resolving complex defects and championing engineering best practices. The candidate will work with technologies including Angular, Spring Boot, SQL, Azure, Docker, and AI-assisted engineering tools. Limited travel may be required for team planning events. Domain Focus - Core platform capabilities through microservices modernization, cloud-native development, API enablement, automation, and emerging AI technologies. What You'll Do Provides technical leadership for one or more software engineering teams through the full development lifecycle, defining and refining design requirements with stakeholders, architecting scalable solutions, and ensuring interoperability across services. Apply deep technical expertise to solve complex engineering challenges through diagnostic analysis, operational insight, product alignment, and codes solutions independently. Serves as technical lead across one or more applications and functional areas, actively participating in technical design and code reviews. Develops and reviews User Stories and writes and executes unit and integration tests to validate functionality. Remediate defects thoroughly by solving the reported problem, testing to confirm resolution, and leaving the surrounding code in a better state than found. Mentors peers through code reviews, debugging, and refactoring, and establish standards and best practices for consistency, scalability, and reliability across teams. Drives process and productivity improvements in collaboration with cross-functional teams including Product, QA, SREs, Architects, and Project Management, and embeds AI across the SDLC (design, code, test, release, operate). Demonstrates thought leadership through technical guidance, coaching, and participation in senior-leadership discussions, and presents complex topics to business leaders and customers in Sprint Reviews. Understands the retail pharmacy and clinical services domain, learning how customers use McKesson products to manage their business. Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and Critical Skills 7+ years of software engineering experience. Master's degree with 4+ years of relevant experience preferred. Object-oriented software engineering and RESTful services. Strong proficiency in Java (17/21+), Spring Boot, and Gradle. Experience with event-driven systems such as Kafka. Microservices design and modular architecture with API-first design and integration (OpenAPI, API gateway/OAuth2). Relational databases and SQL (e.g., Oracle), and familiarity with modern data platforms such as Snowflake a plus. Performance monitoring and observability (logs, metrics, traces, SLOs). SDLC and Agile methodologies (Scrum/Kanban/SAFe); version-control systems and collaborative workflows. Preferred Skills AI-assisted development (GitHub Copilot / Claude Code) and interest in building AI capabilities such as agent orchestration/MCP and Responsible AI. Cloud-native engineering on Azure (or comparable): containers, Infrastructure-as-Code, CI/CD, and progressive delivery / feature management. Modern front-end development with Angular and TypeScript for full-stack contribution. Technical strategy development using real-time metrics, performance data, and incident trends, including architecture visualization (Confluence) and roadmap alignment (JIRA). Manual and automated testing tools and frameworks, with secure-coding and compliance in regulated healthcare environments. Ability to learn and implement new technologies and processes. Excellent written and verbal communication skills. Physical Requirements Candidate MUST reside within one of the following four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidate within a 50-mile radius of Irving, TX will be required to be onsite 2 days per week. Requires up to 5% of travel nationwide; 2-3 times per year on average. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $126,000 - $210,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted . 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. This role offers location flexibility and is open to candidates within one of four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidates based in the Dallas-Fort Worth (DFW) area will be hired in a hybrid capacity and are expected to work onsite at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated based on team needs and business priorities. About the Role The candidate will join the McKesson Pharmacy Systems (MPS) R&D organization. The Senior Software Engineer will be focused on driving sound technical design and architectural guidance for the EnterpriseRx platform, a comprehensive pharmacy workflow solution. The candidate will lead complex technical initiatives from design through delivery, applying deep hands-on expertise while mentoring peers and guiding teams through Agile ceremonies such as user story refinement, technical design discussions, and code reviews. The candidate will partner with cross-functional stakeholders including Product, QA, and Operations to drive scalable, high-quality software delivery, serving as a technical authority for resolving complex defects and championing engineering best practices. The candidate will work with technologies including Angular, Spring Boot, SQL, Azure, Docker, and AI-assisted engineering tools. Limited travel may be required for team planning events. Domain Focus - Core platform capabilities through microservices modernization, cloud-native development, API enablement, automation, and emerging AI technologies. What You'll Do Provides technical leadership for one or more software engineering teams through the full development lifecycle, defining and refining design requirements with stakeholders, architecting scalable solutions, and ensuring interoperability across services. Apply deep technical expertise to solve complex engineering challenges through diagnostic analysis, operational insight, product alignment, and codes solutions independently. Serves as technical lead across one or more applications and functional areas, actively participating in technical design and code reviews. Develops and reviews User Stories and writes and executes unit and integration tests to validate functionality. Remediate defects thoroughly by solving the reported problem, testing to confirm resolution, and leaving the surrounding code in a better state than found. Mentors peers through code reviews, debugging, and refactoring, and establish standards and best practices for consistency, scalability, and reliability across teams. Drives process and productivity improvements in collaboration with cross-functional teams including Product, QA, SREs, Architects, and Project Management, and embeds AI across the SDLC (design, code, test, release, operate). Demonstrates thought leadership through technical guidance, coaching, and participation in senior-leadership discussions, and presents complex topics to business leaders and customers in Sprint Reviews. Understands the retail pharmacy and clinical services domain, learning how customers use McKesson products to manage their business. Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and Critical Skills 7+ years of software engineering experience. Master's degree with 4+ years of relevant experience preferred. Object-oriented software engineering and RESTful services. Strong proficiency in Java (17/21+), Spring Boot, and Gradle. Experience with event-driven systems such as Kafka. Microservices design and modular architecture with API-first design and integration (OpenAPI, API gateway/OAuth2). Relational databases and SQL (e.g., Oracle), and familiarity with modern data platforms such as Snowflake a plus. Performance monitoring and observability (logs, metrics, traces, SLOs). SDLC and Agile methodologies (Scrum/Kanban/SAFe); version-control systems and collaborative workflows. Preferred Skills AI-assisted development (GitHub Copilot / Claude Code) and interest in building AI capabilities such as agent orchestration/MCP and Responsible AI. Cloud-native engineering on Azure (or comparable): containers, Infrastructure-as-Code, CI/CD, and progressive delivery / feature management. Modern front-end development with Angular and TypeScript for full-stack contribution. Technical strategy development using real-time metrics, performance data, and incident trends, including architecture visualization (Confluence) and roadmap alignment (JIRA). Manual and automated testing tools and frameworks, with secure-coding and compliance in regulated healthcare environments. Ability to learn and implement new technologies and processes. Excellent written and verbal communication skills. Physical Requirements Candidate MUST reside within one of the following four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidate within a 50-mile radius of Irving, TX will be required to be onsite 2 days per week. Requires up to 5% of travel nationwide; 2-3 times per year on average. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $126,000 - $210,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted . 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. This role offers location flexibility and is open to candidates within one of four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidates based in the Dallas-Fort Worth (DFW) area will be hired in a hybrid capacity and are expected to work onsite at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated based on team needs and business priorities. About the Role The candidate will join the McKesson Pharmacy Systems (MPS) R&D organization. The Senior Software Engineer will be focused on driving sound technical design and architectural guidance for the EnterpriseRx platform, a comprehensive pharmacy workflow solution. The candidate will lead complex technical initiatives from design through delivery, applying deep hands-on expertise while mentoring peers and guiding teams through Agile ceremonies such as user story refinement, technical design discussions, and code reviews. The candidate will partner with cross-functional stakeholders including Product, QA, and Operations to drive scalable, high-quality software delivery, serving as a technical authority for resolving complex defects and championing engineering best practices. The candidate will work with technologies including Angular, Spring Boot, SQL, Azure, Docker, and AI-assisted engineering tools. Limited travel may be required for team planning events. Domain Focus - Core platform capabilities through microservices modernization, cloud-native development, API enablement, automation, and emerging AI technologies. What You'll Do Provides technical leadership for one or more software engineering teams through the full development lifecycle, defining and refining design requirements with stakeholders, architecting scalable solutions, and ensuring interoperability across services. Apply deep technical expertise to solve complex engineering challenges through diagnostic analysis, operational insight, product alignment, and codes solutions independently. Serves as technical lead across one or more applications and functional areas, actively participating in technical design and code reviews. Develops and reviews User Stories and writes and executes unit and integration tests to validate functionality. Remediate defects thoroughly by solving the reported problem, testing to confirm resolution, and leaving the surrounding code in a better state than found. Mentors peers through code reviews, debugging, and refactoring, and establish standards and best practices for consistency, scalability, and reliability across teams. Drives process and productivity improvements in collaboration with cross-functional teams including Product, QA, SREs, Architects, and Project Management, and embeds AI across the SDLC (design, code, test, release, operate). Demonstrates thought leadership through technical guidance, coaching, and participation in senior-leadership discussions, and presents complex topics to business leaders and customers in Sprint Reviews. Understands the retail pharmacy and clinical services domain, learning how customers use McKesson products to manage their business. Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and Critical Skills 7+ years of software engineering experience. Master's degree with 4+ years of relevant experience preferred. Object-oriented software engineering and RESTful services. Strong proficiency in Java (17/21+), Spring Boot, and Gradle. Experience with event-driven systems such as Kafka. Microservices design and modular architecture with API-first design and integration (OpenAPI, API gateway/OAuth2). Relational databases and SQL (e.g., Oracle), and familiarity with modern data platforms such as Snowflake a plus. Performance monitoring and observability (logs, metrics, traces, SLOs). SDLC and Agile methodologies (Scrum/Kanban/SAFe); version-control systems and collaborative workflows. Preferred Skills AI-assisted development (GitHub Copilot / Claude Code) and interest in building AI capabilities such as agent orchestration/MCP and Responsible AI. Cloud-native engineering on Azure (or comparable): containers, Infrastructure-as-Code, CI/CD, and progressive delivery / feature management. Modern front-end development with Angular and TypeScript for full-stack contribution. Technical strategy development using real-time metrics, performance data, and incident trends, including architecture visualization (Confluence) and roadmap alignment (JIRA). Manual and automated testing tools and frameworks, with secure-coding and compliance in regulated healthcare environments. Ability to learn and implement new technologies and processes. Excellent written and verbal communication skills. Physical Requirements Candidate MUST reside within one of the following four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidate within a 50-mile radius of Irving, TX will be required to be onsite 2 days per week. Requires up to 5% of travel nationwide; 2-3 times per year on average. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $126,000 - $210,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted . 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. This role offers location flexibility and is open to candidates within one of four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidates based in the Dallas-Fort Worth (DFW) area will be hired in a hybrid capacity and are expected to work onsite at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated based on team needs and business priorities. About the Role The candidate will join the McKesson Pharmacy Systems (MPS) R&D organization. The Senior Software Engineer will be focused on driving sound technical design and architectural guidance for the EnterpriseRx platform, a comprehensive pharmacy workflow solution. The candidate will lead complex technical initiatives from design through delivery, applying deep hands-on expertise while mentoring peers and guiding teams through Agile ceremonies such as user story refinement, technical design discussions, and code reviews. The candidate will partner with cross-functional stakeholders including Product, QA, and Operations to drive scalable, high-quality software delivery, serving as a technical authority for resolving complex defects and championing engineering best practices. The candidate will work with technologies including Angular, Spring Boot, SQL, Azure, Docker, and AI-assisted engineering tools. Limited travel may be required for team planning events. Domain Focus - Core platform capabilities through microservices modernization, cloud-native development, API enablement, automation, and emerging AI technologies. What You'll Do Provides technical leadership for one or more software engineering teams through the full development lifecycle, defining and refining design requirements with stakeholders, architecting scalable solutions, and ensuring interoperability across services. Apply deep technical expertise to solve complex engineering challenges through diagnostic analysis, operational insight, product alignment, and codes solutions independently. Serves as technical lead across one or more applications and functional areas, actively participating in technical design and code reviews. Develops and reviews User Stories and writes and executes unit and integration tests to validate functionality. Remediate defects thoroughly by solving the reported problem, testing to confirm resolution, and leaving the surrounding code in a better state than found. Mentors peers through code reviews, debugging, and refactoring, and establish standards and best practices for consistency, scalability, and reliability across teams. Drives process and productivity improvements in collaboration with cross-functional teams including Product, QA, SREs, Architects, and Project Management, and embeds AI across the SDLC (design, code, test, release, operate). Demonstrates thought leadership through technical guidance, coaching, and participation in senior-leadership discussions, and presents complex topics to business leaders and customers in Sprint Reviews. Understands the retail pharmacy and clinical services domain, learning how customers use McKesson products to manage their business. Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and Critical Skills 7+ years of software engineering experience. Master's degree with 4+ years of relevant experience preferred. Object-oriented software engineering and RESTful services. Strong proficiency in Java (17/21+), Spring Boot, and Gradle. Experience with event-driven systems such as Kafka. Microservices design and modular architecture with API-first design and integration (OpenAPI, API gateway/OAuth2). Relational databases and SQL (e.g., Oracle), and familiarity with modern data platforms such as Snowflake a plus. Performance monitoring and observability (logs, metrics, traces, SLOs). SDLC and Agile methodologies (Scrum/Kanban/SAFe); version-control systems and collaborative workflows. Preferred Skills AI-assisted development (GitHub Copilot / Claude Code) and interest in building AI capabilities such as agent orchestration/MCP and Responsible AI. Cloud-native engineering on Azure (or comparable): containers, Infrastructure-as-Code, CI/CD, and progressive delivery / feature management. Modern front-end development with Angular and TypeScript for full-stack contribution. Technical strategy development using real-time metrics, performance data, and incident trends, including architecture visualization (Confluence) and roadmap alignment (JIRA). Manual and automated testing tools and frameworks, with secure-coding and compliance in regulated healthcare environments. Ability to learn and implement new technologies and processes. Excellent written and verbal communication skills. Physical Requirements Candidate MUST reside within one of the following four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidate within a 50-mile radius of Irving, TX will be required to be onsite 2 days per week. Requires up to 5% of travel nationwide; 2-3 times per year on average. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $126,000 - $210,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted . click apply for full job details

Job Description Job Description Attention: Kapitus is aware that individuals posing as recruiters may be communicating with job seekers about supposed positions with Kapitus. Kapitus has received reports that the content and method of communication can vary, but messages may contain requests for payment (e.g., fees for equipment or training) and/or for sensitive financial information. Kapitus will never ask a candidate for employment for payment or financial information during the initial application or interview process. All open positions are posted in location specific employment portals available at All legitimate Kapitus job postings on employment sites will direct candidates to complete an application through these portals before completion of the hiring process. Candidates with additional questions or concerns regarding any recruiting communications or Kapitus' recruiting process in general should email Kapitus has helped small and midsize businesses access capital for two decades, funding roughly $2 billion to date and building toward $6 billion and beyond. We originate, decision, fund, and service financing every day across a growing set of products and partner channels. As we scale, we are investing in the technology and quality foundation that growth depends on. We are standing up a modern quality-engineering practice built on automated regression, and we are hiring a hands-on QE Automation Lead to own the strategy, the framework, and the team that delivers it. You will set the automation standards, architect and govern the framework, mentor the engineers, and make release readiness measurable, in close partnership with Product, Development, DevOps, and Architecture. You will also lead the shift from a largely manual regression model to reliable, pipeline-gated automation, the change that lets Kapitus release faster with higher confidence. What You Will Do: Lead the strategy. Own the automation strategy and technical direction across multiple QE teams, products, and delivery streams. Partner across the org. Align quality priorities, delivery risks, and release-readiness expectations with Product, Development, DevOps, Architecture, and Leadership. Build and govern the framework. Design, evolve, and govern scalable automation frameworks and reusable components using Playwright with TypeScript. Set the standards. Establish automation standards for test design, code quality, reviews, branching, test data, maintainability, reporting, and framework adoption. Stay hands-on. Develop, review, debug, and optimize automated tests across UI, API, integration, end-to-end, and data-validation layers. Wire quality into CI/CD. Integrate automated tests and quality gates into CI/CD pipelines for fast, reliable feedback across the delivery lifecycle, and move toward automation in the Definition of Done. Make quality measurable. Define and report actionable quality and automation metrics: coverage, pass rate, defect trends, escape rate, flaky-test rate, execution time, and automation effectiveness. Prioritize by risk. Use data and risk-based analysis to prioritize automation investment, identify quality gaps, and communicate product risk and release readiness to technical and non-technical stakeholders. Lead root-cause analysis. Lead root-cause analysis for complex failures and recurring defects, separating application, environment, test-data, integration, and automation issues. Mentor and grow the team. Guide, review, pair with, and grow the QE engineers, raising engineering standards across the team. Coordinate distributed delivery. Coordinate work across distributed teams, remove roadblocks, and drive consistent execution and accountability. Champion shift-left quality. Improve story testability, acceptance criteria, test planning, and in-sprint automation so quality moves earlier. Lead the shift to automation. Lead the transition from manual regression to automated regression, retiring manual effort as automated coverage proves out and runs green in CI, and capturing manual test cases into automation as you go. Govern new and AI-assisted tooling. Evaluate emerging tools and AI-assisted testing approaches, applying governance and quality controls before adoption. Stay current. Track fintech trends, regulatory considerations, cloud technologies, and modern quality-engineering practices. What We're Looking For: 8+ years experience in software quality engineering, including three or more leading automation initiatives or providing technical leadership across multiple teams. Proven ability to lead, influence, and align distributed QE teams without relying solely on direct reporting relationships. Advanced hands-on experience designing, coding, debugging, and reviewing automation using Playwright with TypeScript or comparable modern technologies. Demonstrated success building scalable automation frameworks and reusable libraries across UI, API, integration, end-to-end, and data layers. Strong grasp of software architecture, object-oriented programming, test design patterns, clean code, and maintainable automation practices. Experience integrating automation with CI/CD platforms and implementing quality gates, parallel execution, cross-browser coverage, reporting, and failure diagnostics. Experience defining and communicating quality KPIs and using metrics to drive decisions, prioritization, and continuous improvement. Strong knowledge of API testing, test-data management, backend validation, SQL, and service-integration testing. Experience testing Salesforce solutions and full-stack applications across UI, API, integration, and data layers. Proven mentoring, coaching, and technical-review skills that raise engineering standards across teams. Excellent executive-level communication and stakeholder management, including presenting quality status, risks, tradeoffs, and recommendations clearly. Strong analytical, problem-solving, prioritization, and decision-making skills in complex delivery environments. Solid command of Agile and Scrum, DevOps, shift-left testing, risk-based testing, and the full software development lifecycle. Experience with Jira, Confluence, Zephyr Scale, Git-based workflows, and modern CI/CD tooling. Experience in financial services, regulated environments, or high-availability platforms is strongly preferred. Automation leadership: strategy, framework governance, coding standards, code reviews, mentoring, and cross-team adoption. Automation framework: advanced Playwright and TypeScript, including reusable fixtures, page and component models, parallel execution, cross-browser testing, tracing, and reporting. Test coverage: functional, regression, API, integration, end-to-end, contract, and data-validation automation. Application platforms: Salesforce and full-stack applications across front-end, back-end, API, integration, and data layers. API and data testing: Postman, Swagger and OpenAPI, REST and JSON, SQL, and backend validation. CI/CD and source control: GitHub or Bitbucket, pull-request workflows, and pipeline integration using Jenkins, GitHub Actions, Azure DevOps, or comparable tools. Quality metrics: automation coverage, pass rate, flaky-test rate, defect trends, escaped defects, execution duration, and release-readiness reporting. Test management and collaboration: Jira, Confluence, and Zephyr Scale. Working knowledge of security, accessibility, and performance testing principles Nice to Have: Additional languages and tools: Python, JavaScript, SQL, Java, Selenium, Cypress, Pytest, Rest Assured, or Cucumber. AWS services, containerized test execution, cloud-based test environments, and observability platforms. Performance testing with JMeter or k6, and accessibility testing standards and tools. Migrating legacy automation suites to Playwright or consolidating multiple frameworks. Applying AI-assisted testing responsibly to improve test design, coverage, maintenance, or defect analysis. Relevant certifications such as ISTQB, AWS, Agile, or DevOps. Kapitus Total Rewards Package Includes: Competitive SalaryRange of $117,800-$189,000 annually. Kapitus is providing this as a good faith salary range to comply with applicable law. The applicant's final salary will depend on a number of factors including the applicant's geographic location, skills, and experience Annual Incentive Compensation Eligibility - Up to 10% annually Health Insurance: Comprehensive medical, dental, and employer-paid vision plans through UnitedHealthcare (UHC), with various coverage levels available to meet the needs of our employees and their families. Additional perks through UHC include: Sweat Equity, free subscription to the Calm App, UHC rewards, Real Appeal, and Quit For Life. Flexible Spending Account: Set aside pre-tax dollars from your paycheck to pay for qualified out-of-pocket medical, dental, vision, pharmacy or dependent care expenses. Lifestyle Spending Account: Employer sponsored post-tax benefits that allow reimbursement for expenses related to physical, mental and financial well-being. 100% Company Paid Insurances: Kapitus fully covers the cost of basic short-term and long-term disability insurance, as well as vision insurance, ensuring our employees have comprehensive protection without any personal expense. . click apply for full job details

Job Description Job Description Attention: Kapitus is aware that individuals posing as recruiters may be communicating with job seekers about supposed positions with Kapitus. Kapitus has received reports that the content and method of communication can vary, but messages may contain requests for payment (e.g., fees for equipment or training) and/or for sensitive financial information. Kapitus will never ask a candidate for employment for payment or financial information during the initial application or interview process. All open positions are posted in location specific employment portals available at All legitimate Kapitus job postings on employment sites will direct candidates to complete an application through these portals before completion of the hiring process. Candidates with additional questions or concerns regarding any recruiting communications or Kapitus' recruiting process in general should email Kapitus has helped small and midsize businesses access capital for two decades, funding roughly $2 billion to date and building toward $6 billion and beyond. We originate, decision, fund, and service financing every day across a growing set of products and partner channels. As we scale, we are investing in the technology and quality foundation that growth depends on. We are standing up a modern quality-engineering practice built on automated regression, and we are hiring a hands-on QE Automation Lead to own the strategy, the framework, and the team that delivers it. You will set the automation standards, architect and govern the framework, mentor the engineers, and make release readiness measurable, in close partnership with Product, Development, DevOps, and Architecture. You will also lead the shift from a largely manual regression model to reliable, pipeline-gated automation, the change that lets Kapitus release faster with higher confidence. What You Will Do: Lead the strategy. Own the automation strategy and technical direction across multiple QE teams, products, and delivery streams. Partner across the org. Align quality priorities, delivery risks, and release-readiness expectations with Product, Development, DevOps, Architecture, and Leadership. Build and govern the framework. Design, evolve, and govern scalable automation frameworks and reusable components using Playwright with TypeScript. Set the standards. Establish automation standards for test design, code quality, reviews, branching, test data, maintainability, reporting, and framework adoption. Stay hands-on. Develop, review, debug, and optimize automated tests across UI, API, integration, end-to-end, and data-validation layers. Wire quality into CI/CD. Integrate automated tests and quality gates into CI/CD pipelines for fast, reliable feedback across the delivery lifecycle, and move toward automation in the Definition of Done. Make quality measurable. Define and report actionable quality and automation metrics: coverage, pass rate, defect trends, escape rate, flaky-test rate, execution time, and automation effectiveness. Prioritize by risk. Use data and risk-based analysis to prioritize automation investment, identify quality gaps, and communicate product risk and release readiness to technical and non-technical stakeholders. Lead root-cause analysis. Lead root-cause analysis for complex failures and recurring defects, separating application, environment, test-data, integration, and automation issues. Mentor and grow the team. Guide, review, pair with, and grow the QE engineers, raising engineering standards across the team. Coordinate distributed delivery. Coordinate work across distributed teams, remove roadblocks, and drive consistent execution and accountability. Champion shift-left quality. Improve story testability, acceptance criteria, test planning, and in-sprint automation so quality moves earlier. Lead the shift to automation. Lead the transition from manual regression to automated regression, retiring manual effort as automated coverage proves out and runs green in CI, and capturing manual test cases into automation as you go. Govern new and AI-assisted tooling. Evaluate emerging tools and AI-assisted testing approaches, applying governance and quality controls before adoption. Stay current. Track fintech trends, regulatory considerations, cloud technologies, and modern quality-engineering practices. What We're Looking For: 8+ years experience in software quality engineering, including three or more leading automation initiatives or providing technical leadership across multiple teams. Proven ability to lead, influence, and align distributed QE teams without relying solely on direct reporting relationships. Advanced hands-on experience designing, coding, debugging, and reviewing automation using Playwright with TypeScript or comparable modern technologies. Demonstrated success building scalable automation frameworks and reusable libraries across UI, API, integration, end-to-end, and data layers. Strong grasp of software architecture, object-oriented programming, test design patterns, clean code, and maintainable automation practices. Experience integrating automation with CI/CD platforms and implementing quality gates, parallel execution, cross-browser coverage, reporting, and failure diagnostics. Experience defining and communicating quality KPIs and using metrics to drive decisions, prioritization, and continuous improvement. Strong knowledge of API testing, test-data management, backend validation, SQL, and service-integration testing. Experience testing Salesforce solutions and full-stack applications across UI, API, integration, and data layers. Proven mentoring, coaching, and technical-review skills that raise engineering standards across teams. Excellent executive-level communication and stakeholder management, including presenting quality status, risks, tradeoffs, and recommendations clearly. Strong analytical, problem-solving, prioritization, and decision-making skills in complex delivery environments. Solid command of Agile and Scrum, DevOps, shift-left testing, risk-based testing, and the full software development lifecycle. Experience with Jira, Confluence, Zephyr Scale, Git-based workflows, and modern CI/CD tooling. Experience in financial services, regulated environments, or high-availability platforms is strongly preferred. Automation leadership: strategy, framework governance, coding standards, code reviews, mentoring, and cross-team adoption. Automation framework: advanced Playwright and TypeScript, including reusable fixtures, page and component models, parallel execution, cross-browser testing, tracing, and reporting. Test coverage: functional, regression, API, integration, end-to-end, contract, and data-validation automation. Application platforms: Salesforce and full-stack applications across front-end, back-end, API, integration, and data layers. API and data testing: Postman, Swagger and OpenAPI, REST and JSON, SQL, and backend validation. CI/CD and source control: GitHub or Bitbucket, pull-request workflows, and pipeline integration using Jenkins, GitHub Actions, Azure DevOps, or comparable tools. Quality metrics: automation coverage, pass rate, flaky-test rate, defect trends, escaped defects, execution duration, and release-readiness reporting. Test management and collaboration: Jira, Confluence, and Zephyr Scale. Working knowledge of security, accessibility, and performance testing principles Nice to Have: Additional languages and tools: Python, JavaScript, SQL, Java, Selenium, Cypress, Pytest, Rest Assured, or Cucumber. AWS services, containerized test execution, cloud-based test environments, and observability platforms. Performance testing with JMeter or k6, and accessibility testing standards and tools. Migrating legacy automation suites to Playwright or consolidating multiple frameworks. Applying AI-assisted testing responsibly to improve test design, coverage, maintenance, or defect analysis. Relevant certifications such as ISTQB, AWS, Agile, or DevOps. Kapitus Total Rewards Package Includes: Competitive SalaryRange of $117,800-$189,000 annually. Kapitus is providing this as a good faith salary range to comply with applicable law. The applicant's final salary will depend on a number of factors including the applicant's geographic location, skills, and experience Annual Incentive Compensation Eligibility - Up to 10% annually Health Insurance: Comprehensive medical, dental, and employer-paid vision plans through UnitedHealthcare (UHC), with various coverage levels available to meet the needs of our employees and their families. Additional perks through UHC include: Sweat Equity, free subscription to the Calm App, UHC rewards, Real Appeal, and Quit For Life. Flexible Spending Account: Set aside pre-tax dollars from your paycheck to pay for qualified out-of-pocket medical, dental, vision, pharmacy or dependent care expenses. Lifestyle Spending Account: Employer sponsored post-tax benefits that allow reimbursement for expenses related to physical, mental and financial well-being. 100% Company Paid Insurances: Kapitus fully covers the cost of basic short-term and long-term disability insurance, as well as vision insurance, ensuring our employees have comprehensive protection without any personal expense. . click apply for full job details

Job Description Job Description Attention: Kapitus is aware that individuals posing as recruiters may be communicating with job seekers about supposed positions with Kapitus. Kapitus has received reports that the content and method of communication can vary, but messages may contain requests for payment (e.g., fees for equipment or training) and/or for sensitive financial information. Kapitus will never ask a candidate for employment for payment or financial information during the initial application or interview process. All open positions are posted in location specific employment portals available at All legitimate Kapitus job postings on employment sites will direct candidates to complete an application through these portals before completion of the hiring process. Candidates with additional questions or concerns regarding any recruiting communications or Kapitus' recruiting process in general should email Kapitus has helped small and midsize businesses access capital for two decades, funding roughly $2 billion to date and building toward $6 billion and beyond. We originate, decision, fund, and service financing every day across a growing set of products and partner channels. As we scale, we are investing in the technology and quality foundation that growth depends on. We are standing up a modern quality-engineering practice built on automated regression, and we are hiring a hands-on QE Automation Lead to own the strategy, the framework, and the team that delivers it. You will set the automation standards, architect and govern the framework, mentor the engineers, and make release readiness measurable, in close partnership with Product, Development, DevOps, and Architecture. You will also lead the shift from a largely manual regression model to reliable, pipeline-gated automation, the change that lets Kapitus release faster with higher confidence. What You Will Do: Lead the strategy. Own the automation strategy and technical direction across multiple QE teams, products, and delivery streams. Partner across the org. Align quality priorities, delivery risks, and release-readiness expectations with Product, Development, DevOps, Architecture, and Leadership. Build and govern the framework. Design, evolve, and govern scalable automation frameworks and reusable components using Playwright with TypeScript. Set the standards. Establish automation standards for test design, code quality, reviews, branching, test data, maintainability, reporting, and framework adoption. Stay hands-on. Develop, review, debug, and optimize automated tests across UI, API, integration, end-to-end, and data-validation layers. Wire quality into CI/CD. Integrate automated tests and quality gates into CI/CD pipelines for fast, reliable feedback across the delivery lifecycle, and move toward automation in the Definition of Done. Make quality measurable. Define and report actionable quality and automation metrics: coverage, pass rate, defect trends, escape rate, flaky-test rate, execution time, and automation effectiveness. Prioritize by risk. Use data and risk-based analysis to prioritize automation investment, identify quality gaps, and communicate product risk and release readiness to technical and non-technical stakeholders. Lead root-cause analysis. Lead root-cause analysis for complex failures and recurring defects, separating application, environment, test-data, integration, and automation issues. Mentor and grow the team. Guide, review, pair with, and grow the QE engineers, raising engineering standards across the team. Coordinate distributed delivery. Coordinate work across distributed teams, remove roadblocks, and drive consistent execution and accountability. Champion shift-left quality. Improve story testability, acceptance criteria, test planning, and in-sprint automation so quality moves earlier. Lead the shift to automation. Lead the transition from manual regression to automated regression, retiring manual effort as automated coverage proves out and runs green in CI, and capturing manual test cases into automation as you go. Govern new and AI-assisted tooling. Evaluate emerging tools and AI-assisted testing approaches, applying governance and quality controls before adoption. Stay current. Track fintech trends, regulatory considerations, cloud technologies, and modern quality-engineering practices. What We're Looking For: 8+ years experience in software quality engineering, including three or more leading automation initiatives or providing technical leadership across multiple teams. Proven ability to lead, influence, and align distributed QE teams without relying solely on direct reporting relationships. Advanced hands-on experience designing, coding, debugging, and reviewing automation using Playwright with TypeScript or comparable modern technologies. Demonstrated success building scalable automation frameworks and reusable libraries across UI, API, integration, end-to-end, and data layers. Strong grasp of software architecture, object-oriented programming, test design patterns, clean code, and maintainable automation practices. Experience integrating automation with CI/CD platforms and implementing quality gates, parallel execution, cross-browser coverage, reporting, and failure diagnostics. Experience defining and communicating quality KPIs and using metrics to drive decisions, prioritization, and continuous improvement. Strong knowledge of API testing, test-data management, backend validation, SQL, and service-integration testing. Experience testing Salesforce solutions and full-stack applications across UI, API, integration, and data layers. Proven mentoring, coaching, and technical-review skills that raise engineering standards across teams. Excellent executive-level communication and stakeholder management, including presenting quality status, risks, tradeoffs, and recommendations clearly. Strong analytical, problem-solving, prioritization, and decision-making skills in complex delivery environments. Solid command of Agile and Scrum, DevOps, shift-left testing, risk-based testing, and the full software development lifecycle. Experience with Jira, Confluence, Zephyr Scale, Git-based workflows, and modern CI/CD tooling. Experience in financial services, regulated environments, or high-availability platforms is strongly preferred. Automation leadership: strategy, framework governance, coding standards, code reviews, mentoring, and cross-team adoption. Automation framework: advanced Playwright and TypeScript, including reusable fixtures, page and component models, parallel execution, cross-browser testing, tracing, and reporting. Test coverage: functional, regression, API, integration, end-to-end, contract, and data-validation automation. Application platforms: Salesforce and full-stack applications across front-end, back-end, API, integration, and data layers. API and data testing: Postman, Swagger and OpenAPI, REST and JSON, SQL, and backend validation. CI/CD and source control: GitHub or Bitbucket, pull-request workflows, and pipeline integration using Jenkins, GitHub Actions, Azure DevOps, or comparable tools. Quality metrics: automation coverage, pass rate, flaky-test rate, defect trends, escaped defects, execution duration, and release-readiness reporting. Test management and collaboration: Jira, Confluence, and Zephyr Scale. Working knowledge of security, accessibility, and performance testing principles Nice to Have: Additional languages and tools: Python, JavaScript, SQL, Java, Selenium, Cypress, Pytest, Rest Assured, or Cucumber. AWS services, containerized test execution, cloud-based test environments, and observability platforms. Performance testing with JMeter or k6, and accessibility testing standards and tools. Migrating legacy automation suites to Playwright or consolidating multiple frameworks. Applying AI-assisted testing responsibly to improve test design, coverage, maintenance, or defect analysis. Relevant certifications such as ISTQB, AWS, Agile, or DevOps. Kapitus Total Rewards Package Includes: Competitive SalaryRange of $117,800-$189,000 annually. Kapitus is providing this as a good faith salary range to comply with applicable law. The applicant's final salary will depend on a number of factors including the applicant's geographic location, skills, and experience Annual Incentive Compensation Eligibility - Up to 10% annually Health Insurance: Comprehensive medical, dental, and employer-paid vision plans through UnitedHealthcare (UHC), with various coverage levels available to meet the needs of our employees and their families. Additional perks through UHC include: Sweat Equity, free subscription to the Calm App, UHC rewards, Real Appeal, and Quit For Life. Flexible Spending Account: Set aside pre-tax dollars from your paycheck to pay for qualified out-of-pocket medical, dental, vision, pharmacy or dependent care expenses. Lifestyle Spending Account: Employer sponsored post-tax benefits that allow reimbursement for expenses related to physical, mental and financial well-being. 100% Company Paid Insurances: Kapitus fully covers the cost of basic short-term and long-term disability insurance, as well as vision insurance, ensuring our employees have comprehensive protection without any personal expense. . click apply for full job details

Job Description Job Description Senior GIS/AWS Developer Washington, DC - 100% Onsite Must live locally Per Federal contract U.S. citizenship is required Must be able to pass Federal Background Check (2-3 week process) Multi- year contract W2 weekly pay with benefits OR C2C MUST INTERVIEW IN PERSON IN WASHINGTON DC This position requires a highly skilled professional with extensive experience in full-stack software development, cloud-based application architecture, and the ability to translate complex business requirements into efficient, scalable technical solutions. The ideal candidate will have strong expertise in AWS services, ESRI geospatial technologies, and experience leveraging AI tools like Claude for development productivity. This role requires analytical skills, technical leadership, and experience working in Agile environments to deliver high-quality solutions that meet business and technical standards. Work Experience: • Software Development: Minimum 7 years of programmer/analyst experience developing software according to SDLCs with proven track record delivering complex applications • AWS & Modern Tools: Minimum 3 years hands-on experience with AWS services and modern web frameworks; experience with Angular, .Net, ECS, and Terraform • AI-Assisted Development: Experience using Claude or similar AI tools (ChatGPT, GitHub Copilot) to enhance development productivity, code generation, and problem-solving • Geospatial Development: Experience with ESRI technologies (ArcGIS, ArcGIS Online, ArcGIS Server, or similar, APIs) developing interactive maps and geocoding functionality • Technical Analysis: Strong analytical skills with experience in system analysis, design, and translating business requirements into technical solutions • Database Experience: Knowledge of relational and NoSQL database development, design, and optimization • Team Leadership: Experience providing technical direction and ensuring project deadlines are met Technical Skills: • Bachelor's degree in computer science or related IT field, or equivalent experience • Development Languages & Frameworks: o Strong programming skills o Proficiency in Angular for frontend development o Experience with modern web development practices • AWS & Infrastructure: o AWS services (ECS, S3, RDS, Lambda, API Gateway) o Terraform for Infrastructure as Code o Containerization with Docker and ECS o Understanding of cloud-native architecture patterns • AI Tools: o Experience using Claude for development tasks (code generation, debugging, documentation) o Familiarity with AI-assisted development workflows o Experience with prompt engineering for development use cases • ESRI: ArcGIS platform, JavaScript API, geocoding services, spatial analysis, integration with AWS • DevOps & Tools: o GitLab for version control and CI/CD o Experience with GitLab pipelines o Agile methodologies (Scrum, Kanban) • Proficiency in creating technical documentation (data flow diagrams, architecture documentation) • AWS certifications are a plus Key Responsibilities: • Analyze complex system requirements and design cloud-native software solutions in AWS • Develop and maintain geospatial applications using ESRI technologies (map creation, geocoding) • Leverage Claude and other AI tools to enhance development productivity and code quality • Work with Terraform for Infrastructure as Code and ECS for containerized deployments • Write clean, efficient code following best practices and develop comprehensive documentation • Develop frontend applications using Angular • Manage software configuration in GitLab and optimize applications for cloud performance • Collaborate with cross-functional teams using Agile methodologies • Conduct testing, debugging, and code reviews to ensure quality • Support production systems and troubleshoot issues Company Description System One is a leading provider of specialized, highly technical services and solutions to critical infrastructure, technology, life sciences, and government sectors. We partner with large private and public organizations who trust us to execute their complex, mission-critical initiatives through our outsourced services and workforce solutions. Company Description System One is a leading provider of specialized, highly technical services and solutions to critical infrastructure, technology, life sciences, and government sectors. We partner with large private and public organizations who trust us to execute their complex, mission-critical initiatives through our outsourced services and workforce solutions.

Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native, at-scale (15,000+ users at destination), enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models, to transform how our company works in the data analysis space. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to . click apply for full job details

Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native, at-scale (15,000+ users at destination), enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models, to transform how our company works in the data analysis space. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to . click apply for full job details