30 jobs found

We are looking for a Software Development Manager to lead the engineering team ( 10-12 SDEs) that owns the search, indexing, and data distribution platform powering every inventory management experience for Amazon's millions of Selling Partners. When a seller checks their inventory, downloads a report, or searches their catalog - they are using systems your team builds and operates. You will own delivery, operational excellence, and technical direction for a platform that ingests 300K+ data changes per second from dozens of upstream sources, maintains hundreds of distributed search clusters, and serves 7K+ queries per second across 250+ internal and external clients. You will inherit an established team with a clear multi-year roadmap, significant operational surface area, and a high bar for availability in systems that directly affect seller revenue. The ideal candidate thrives in ambiguous, high-scale environments and can drive cross-functional alignment across different organizations to deliver data interfaces that make it easy for sellers and the teams supporting them to manage and grow selection on Amazon. You'll lead a diverse team of Senior, Intermediate, and Junior Software Development Engineers, partnering closely with Program and Product Management to define and execute strategic roadmaps. This is a role with both operational depth and strategic upside - you get to keep a critical system running while building the next generation of it. Key job responsibilities 1. Drive technical vision and architecture, making strategic decisions that balance innovation with operational excellence across large-scale distributed search and data systems 2. Own end-to-end delivery - from planning through execution to metric-driven success measurement - for a platform serving millions of sellers across all Amazon marketplaces worldwide 3. Lead and grow a high-performing engineering team through effective hiring, mentoring, and career development while fostering an inclusive, collaborative environment 4. Manage operational health of a large-scale, multi-region infrastructure including monitoring, alerting, automation, and incident response 5. Drive cross-organizational alignment - balancing business requirements from product, partner, and experience teams against technical constraints and operational risk 6. Manage stakeholder communications and project visibility across organizations, translating technical complexity into business-relevant updates 7. Establish technical best practices and drive continuous improvement through distributed systems design, AI-powered automation, and developer productivity tooling 8. Reduce operational toil through mechanisms - building self-healing systems, automation, and tooling rather than scaling human effort linearly with system growth About the team This team owns the system and services that enables Selling Partners and internal Amazon teams to discover, search, and retrieve listing data at scale. The platform ingests diverse data from authoritative sources across Amazon, aggregates them into unified searchable documents, indexes them across hundreds of distributed clusters, and provides read access through APIs and bulk reports. It powers the inventory management page that every Amazon seller uses daily, the programmatic interfaces that thousands of integrators build against, and the data exports that sellers rely on for business operations. The team handles extreme scale (300K+ source changes ingested per second, hundreds of search clusters, 7K+ TPS serving 250+ client teams) with strict availability requirements - when this platform is down, sellers cannot see or manage their inventory. The team operates across multiple AWS regions and manages the full lifecycle from data ingestion through indexing, query serving, and report generation. BASIC QUALIFICATIONS- 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams PREFERRED QUALIFICATIONS- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers 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, AZ, Tempe - 184 200.00 USD annually

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

Work Where You Matter At Dollar General, our mission is Serving Others! We value each and every one of our employees. Whether you are looking to launch a new career in one of our many convenient Store locations, Distribution Centers, Store Support Center or with our Private Fleet Team, we are proud to provide a wide range of career opportunities. We are not just a retail company; we are a company that values the unique strengths and perspectives that each individual brings. Your difference truly makes a difference at Dollar General. How would you like to Serve? Join the Dollar General Journey and see how your career can thrive. Company Overview Dollar General Corporation has been delivering value to shoppers for more than 80 years. Dollar General helps shoppers Save time. Save money. Every day. by offering products that are frequently used and replenished, such as food, snacks, health and beauty aids, cleaning supplies, basic apparel, housewares and seasonal items at everyday low prices in convenient neighborhood locations. Learn more about Dollar General at A Senior Software Engineer will be responsible for building technologies across eCommerce & Loyalty experience for our customers. A Senior Software Engineer, working independently or with limited supervision, translates high-level business requirements into technical designs, proposes design alternatives, codes and/or communicates requirements to junior engineers. They have a strong knowledge of the applications in their functional area, how each supports the goals of the business and how they interface with each other and to applications outside of their area. They lead small development engagements, mentor junior engineers, solve difficult and highly complex technical problems and may be called on to consult on other projects. Job Details Duties & Responsibilities: • Develops and debugs software in support of new and existing applications 65% • Develop, execute and thoroughly document unit and system-level test plans 15% • Designs changes to new and existing applications 10% • Provides support for production applications (7x24) 5% • Participate in Agile methodology and ceremonies 5% Knowledge, Skills and Abilities (KSAs): • Develop and maintain Rest/gRCP Service for e-commerce and loyalty application with high-quality, scalable and performant code. • Collaborate with cross-functional teams to understand requirements and translate them into API specifications. • Monitor and analyze API performance metrics to identify areas for improvement. • Writing and maintaining API Documentation for developers and consumers. • Mentor junior team members and seek guidance from senior team members. • Participates in code reviews and scope of work estimation and forecasting. • Collaborate with frontend and backend developers to ensure seamless integration of APIs with the application. • Writes high-quality code that meets the customer needs and strives for simplicity, clarity and testability. • Able to provide application support, analyze problems and provide solutions for complex issues. • Able to develop reusable software building blocks to enable faster delivery. • Employs test-driven development and integrates unit tests in development tasks. • Strong ability to relate code modules to the application as a whole and the underlying business objectives. • Able to stay current on technology changes applicable to your domain and how to apply them. • Strong analytical skills with experience gathering requirements and designing new functionality. Salary Range USD $115,905.00/Yr to USD $120,905.00/Yr. Qualifications Work Experience &/or Education: • 5+ years experience in software development in an IT organization or equivalent educational experience. • 5+ years experience in designing and developing RESTful APIs using .Net Framework/Core and C#. • 3+ years experience delivering software supporting e-commerce applications. • 3+ years experience with a relational database (i.e., Oracle, MSSQL, Postgres, etc.). • 1+ years of experience with No-SQL Databases (i.e Cassandra, Mongo DB etc) • Bachelor's degree in computer science or related field, trade school or equivalent work experience. • Experience deploying and managing applications on cloud platforms like AWS, Azure or Google Cloud. • Experience with containers and orchestration via Kubernetes or equivalent is a plus. • Experience in implementing event driven systems using messaging platforms like RabbitMQ, Kafka or Azure Service Bus.

We are a federal IT company on a mission to make customer experience (CX) the center of every government solution. Technology is our Passion. People are our Purpose. We know tech, but we love people. NuAxis is home to thinkers and feelers, engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us; it's a state of mind. We believe happy employees do amazing work, so join our team NOW! We are currently seeking a talented and motivated Senior Full Stack Developer for a remote federal program opportunity. Position Overview The Senior Full Stack Developer is responsible for designing, developing, integrating, and supporting secure, scalable, and high-performing enterprise web applications using modern cloud-native technologies. This role collaborates with Product Owners, Federal Project Managers (FPMs), Business Analysts, Solution Architects, UX/UI Designers, QA Engineers, and DevSecOps teams to deliver end-to-end solutions across the full software development lifecycle. The ideal candidate has strong expertise in AWS cloud services, modern front-end frameworks, back-end development, containerization, DevOps, and event-driven architectures. Key Responsibilities Design, develop, and maintain full-stack enterprise applications using modern front-end and back-end technologies. Develop responsive, accessible, and user-friendly web applications using Angular and React. Build scalable RESTful APIs, microservices, and serverless applications using AWS Lambda and related AWS services. Design and optimize relational database solutions using PostgreSQL, including schema design, stored procedures, and query optimization. Develop event-driven solutions using Apache Kafka or similar messaging platforms. Deploy and manage applications on Amazon EC2, container platforms, and cloud-native environments. Develop containerized applications using Docker and orchestrate deployments with Kubernetes, Amazon ECS, or EKS. Collaborate with DevSecOps teams to implement CI/CD pipelines, Infrastructure as Code (IaC), automated testing, and secure deployment practices. Integrate applications with enterprise systems, APIs, authentication services, and third-party platforms. Optimize application performance, scalability, reliability, and security. Participate in Agile development activities, including backlog refinement, sprint planning, code reviews, and production support. Mentor junior developers and contribute to technical architecture, coding standards, and best practices. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related field. Minimum of 5 years of full-stack software development experience. Strong experience developing enterprise web applications using modern JavaScript frameworks and cloud technologies. Experience building cloud-native and microservices-based applications. Experience working in Agile/Scrum software development environments. Required Technical Skills Full Stack Application Development AWS Cloud Services EC2, Lambda, API Gateway, IAM, S3 Angular, React, JavaScript, TypeScript PostgreSQL Apache Kafka Docker, Kubernetes, ECS/EKS CI/CD and DevSecOps Infrastructure as Code RESTful APIs and Microservices Linux and Cloud Administration Performance Optimization and Troubleshooting Strong analytical, communication, and collaboration skills Responsive and mobile-first design REST API integration Amazon CloudWatch AWS CloudFormation or Terraform Microservices and serverless architectures SQL and database performance tuning OpenAPI/Swagger Additional Desired Experience .NET / ASP.NET Core C# IIS Administration SQL Server T-SQL and PL/SQL PowerShell scripting JavaScript legacy frameworks (including AngularJS) Azure DevOps Windows Server administration API integrations with enterprise Microsoft technologies Work Environment Remote or hybrid work environment based on program requirements. Clearance Requirements Ability to obtain and maintain a Public Trust clearance. Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now Our Profile We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed. Time after time, programs failed because the focus was on the tools and products and not the people using them. Learn More. NuAxis is an Equal Opportunity/Affirmative Action Employer, including Vets and Disabled. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!

Senior Developer, Salesforce We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States. Join a Company that Empowers you to Build your Future The Senior Developer will be responsible for the overall analysis, architecture, design, implementation, and support of technology solutions within Lennar Corporation. As a member of the Salesforce Engineering team, the Senior Developer will be responsible for ensuring that the system accurately meets the defined expectations of the business, ensuring that proper functional and performance testing completed, and security requirements are considered by working with the project teams. The Senior Developer also must be able to identify and confirm technical design risks and develop mitigating approaches. The Senior Developer will mentor junior developers and provide guidance. The Senior Developer will collaborate closely with the Product Owners/Architects to design and implement solutions based upon customer requirements. May participate in Sprint Demos and provide Tier 3 support. A career with purpose. A career built on making dreams come true. A career built on building zero defect homes, cost management, and adherence to schedules. Your Responsibilities on the Team Capture, Design, and Implement Salesforce platform solutions using best practices through custom development Senior technical design sessions, document technical solutions aligned with client business objectives; identify gaps between client's current and desired end states Demonstrated ability to meet deadlines, handle and prioritize simultaneous requests Provide technical assistance and end user troubleshooting for bug fixes, enhancements, and "how-to" assistance Proactively engage in continuous improvement efforts on application design, support, and practice development efforts to improve current business processes Executes unit, performance, and user acceptance tests to solutions to meet quality standards Develop test strategies, design automation frameworks, write unit/functional tests to drive up code coverage and automation metrics Communicating risks to engineering staff through training and technical demonstration of vulnerabilities and secure design patterns Works with engineers and developers on solutions and integrations, provides hands-on expert level assistance on technical issues Ability to design and implement solutions on the Salesforce platform with industry best practices Ability to present to peers and senior management with clarity Independently solves technical problems in assigned area Requirements Minimum 6+ year's salesforce development experience Bachelor's Degree or Certified SF Admin/Platform Developer I certification required Certified Platform Developer II preferred Understanding of the Salesforce product suite, including Sales, Service, Marketing, and Experience Clouds Strong knowledge of Salesforce platform best practices, security model, coding, design guidelines and governor limit Understanding of systems architecture and ability to craft scalable solutions Strong knowledge on Apex, Visualforce, and Lightning Aura / LWC components Strong Experience with Declarative tools and detailed knowledge of Flows, object configuration, validation rules, and app builder Experience with Microsoft Visual Studio Code, Salesforce Lightning Design System, and the Salesforce Development Lifecycle Previous experience working in a SCRUM or agile environment preferred. Proficient in SOQL, SOSL, SQL, HTML, CSS, JavaScript Working experience in CICD, Git commands, GitHub source, Azure preferred Prior experience with other technologies like Java/.NET, Python, Node.js, React, Azure, AWS, NoSQL DBs is highly preferred Strong analytical, critical thinking, and troubleshooting skills Strong verbal and written communication skills Additional Skills: Diligent; acts promptly Interactive; maintains effective working relationships, supporting company leadership and team Readily embraces change Maintains a supportive and collaborative teamwork environment; encourages teamwork in others Engages with others and works with integrity and ethically; upholds organizational values Sensitive and responsive to internal and external needs; maintains a positive attitude, willing to seek solutions Demonstrates operational awareness in problem solving Understands the company's philosophy on diversity in the workplace Self-motivated with the ability to work independently as well as part of a team Trains junior associates on defined procedures and standards Must be flexible and readily adapt to changing priorities/tasks Ability to work under pressure, maintains composure and professionalism in a stressful situation Demonstrates an understanding of the links between business drivers and IT processes Begins to learn the market and major competitors Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

DCS Corp. is an employee-owned organization with a reputation for agile and efficient development of technology solutions for U.S. Defense, Aerospace, Human Factors, and Security markets. We continue to provide innovative solutions with our multidisciplinary teams formed with exceptional employees. We are seeking a Software Engineer to support unique systems solutions for the National Geospatial-Intelligence Agency (NGA). We are seeking a Software Engineer to support our client's intelligence analysis products and capabilities. This position involves providing software development capabilities to enhance existing and emerging client capabilities, including design and development, modernization of existing applications and services, and operations and sustainment. The role focuses on driving the client's adaptation of higher levels of automation and operational efficiency through agile development methodologies, rapid prototyping, and modern technology stacks. Essential Job Functions: Develop, modernize, and maintain software applications and services. Contributes to the design and architecture of high-performance applications. Leverage agile methodologies to enhance operational efficiency. Participate in rapid prototyping to quickly iterate and improve solutions. Utilize modern technology stacks to meet client needs. Implement CI/CD pipelines using GitLab. Collaborate with cross-functional teams to deliver high-quality software solutions. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. At least a BS in Computer Science/Computer Engineering or Information Technology with at least 8 years of related experience. Applicants selected will be subject to a U.S. Government background investigation and must meet eligibility requirements for access to classified information. Must have an active TS/SCI security clearance with the ability to maintain clearance. Demonstrated firsthand experience in at least three of the following: Java, JavaScript or Python enterprise application development. Web services architecture, design, and development. Relational database design. Spatial database design. NoSQL database design. Micro-service architecture, design and development. Containerization and/or Orchestration. API Development. Cloud Native Development, AWS, Azure, Google Cloud or similar Cloud Service providers. Demonstrated experience with relational database development. Must have minimum of 3 years or more experience with agile and lean philosophies, with experience serving as scrum or team lead a plus. Demonstrated experience with Continuous Integration and Continuous Delivery (CI/CD) techniques, test-driven development, or automated testing practices. Desired Skills: A Master of Science or equivalent degree in Computer Science, Engineering, Mathematics, Information Systems. Cybersecurity, or equivalent technical degree and a minimum of 8 years of experience in full stack development to include Java, Web services, Database, and micro-service development software, engineering/development, or a related area that demonstrates the ability to successfully perform the duties associated with this work. Or, a Bachelor of Science or equivalent degree in Computer Science, Engineering, Mathematics, Information Systems or equivalent technical degree and a minimum of 10 years of experience in full stack development to include Java, Web services, Database, and micro-service development software, engineering/development, or a related area that demonstrates the ability to successfully perform the duties associated with this work. Or, a minimum, as equivalent to education, of 12 years of experience in software engineering/development, or a related area that demonstrates the ability to successfully perform the duties associated with this work may be substituted for a technical degree. Possesses at least one of the Agile Development Certifications. Certified Scrum Master. Agile Certified Practitioner (PMI-ACP). Certified Scrum Professional. Demonstrated experience in development of customized code, scripts, modules, macro procedures, or libraries to implement specialized spatial analysis functions using languages such as Python, Java, JavaScript, PHP, C, Perl, or similar scripting and development languages. Demonstrated experience working independently with clients or stakeholders to develop user-stories in support of full-service consumer and business applications. Demonstrated experience in integration and tailoring of geospatial Commercial Off-The-Shelf (COTS) software applications; specialized software and database development and maintenance; integration of related specialized hardware; engineering studies to identify and remedy geodata processing bottlenecks. Demonstrated experience with government and/or commercial imagery products, to include SAR or related RADAR imaging technologies. Demonstrated experience working with and developing geospatial information systems (GIS) to include open-source and proprietary geospatial formats. Demonstrated experience in use and development with common geospatial tools, data, and operating platforms. These may include, but are not limited to: Tools - Boundless Spatial suite, Remote View, PostGRES/PostGIS, Oracle Spatial and/or other geospatial databases, ArcGIS Desktop, ArcGIS Server, Image Server, and File Geodatabases. Data formats including KML, KMZ, NITF, TIFF, JPEG, GeoPDF, and similar geo-related formats and data structures. Operating Platforms - ESRI, OpenGeo Suite, or similar. In-depth experience abstracting new or legacy systems via standards-based API's to include web services. Including but not limited to Open Geospatial Consortium standards. Demonstrated experience in at least one of the following: Developing terrain analysis visualization and algorithms. Developing automated detection algorithms.

Sr. Generative AI Developer Location: Dallas TX/ Tampa FL/ New Jersey - Hybrid Fulltime/FTE Salary: Market Client: Bank Role Overview We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python programming , FastAPI , and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design , scalable APIs, and end-to-end AI solution development. Key Responsibilities Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions. Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance. Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases. Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP). Conduct performance tuning and optimization of AI models and APIs. Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies . Required Skills & Qualifications 8+ years of professional experience in software development and system design. Strong proficiency in Python and experience with FastAPI for API development. Hands-on experience with Generative AI frameworks and RAG architectures . Solid understanding of system and architecture design principles for distributed applications. Experience deploying solutions on any major cloud platform (AWS, Azure, GCP). Familiarity with vector databases , embedding models , and retrieval pipelines . Strong problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with LLM fine-tuning , prompt engineering , and model evaluation . Knowledge of containerization (Docker) and orchestration (Kubernetes) . Exposure to CI/CD pipelines and DevOps practices .

We are a federal IT company on a mission to make customer experience (CX) the center of every government solution. Technology is our Passion. People are our Purpose. We know tech, but we love people. NuAxis is home to thinkers and feelers, engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us; it's a state of mind. We believe happy employees do amazing work, so join our team NOW! We are currently seeking a talented and motivated Senior Full Stack Developer for a remote federal program opportunity. Position Overview The Senior Full Stack Developer is responsible for designing, developing, integrating, and supporting secure, scalable, and high-performing enterprise web applications using modern cloud-native technologies. This role collaborates with Product Owners, Federal Project Managers (FPMs), Business Analysts, Solution Architects, UX/UI Designers, QA Engineers, and DevSecOps teams to deliver end-to-end solutions across the full software development lifecycle. The ideal candidate has strong expertise in AWS cloud services, modern front-end frameworks, back-end development, containerization, DevOps, and event-driven architectures. Key Responsibilities Design, develop, and maintain full-stack enterprise applications using modern front-end and back-end technologies. Develop responsive, accessible, and user-friendly web applications using Angular and React. Build scalable RESTful APIs, microservices, and serverless applications using AWS Lambda and related AWS services. Design and optimize relational database solutions using PostgreSQL, including schema design, stored procedures, and query optimization. Develop event-driven solutions using Apache Kafka or similar messaging platforms. Deploy and manage applications on Amazon EC2, container platforms, and cloud-native environments. Develop containerized applications using Docker and orchestrate deployments with Kubernetes, Amazon ECS, or EKS. Collaborate with DevSecOps teams to implement CI/CD pipelines, Infrastructure as Code (IaC), automated testing, and secure deployment practices. Integrate applications with enterprise systems, APIs, authentication services, and third-party platforms. Optimize application performance, scalability, reliability, and security. Participate in Agile development activities, including backlog refinement, sprint planning, code reviews, and production support. Mentor junior developers and contribute to technical architecture, coding standards, and best practices. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related field. Minimum of 5 years of full-stack software development experience. Strong experience developing enterprise web applications using modern JavaScript frameworks and cloud technologies. Experience building cloud-native and microservices-based applications. Experience working in Agile/Scrum software development environments. Required Technical Skills Full Stack Application Development AWS Cloud Services EC2, Lambda, API Gateway, IAM, S3 Angular, React, JavaScript, TypeScript PostgreSQL Apache Kafka Docker, Kubernetes, ECS/EKS CI/CD and DevSecOps Infrastructure as Code RESTful APIs and Microservices Linux and Cloud Administration Performance Optimization and Troubleshooting Strong analytical, communication, and collaboration skills Responsive and mobile-first design REST API integration Amazon CloudWatch AWS CloudFormation or Terraform Microservices and serverless architectures SQL and database performance tuning OpenAPI/Swagger Additional Desired Experience (The following skills are considered a strong plus): .NET / ASP.NET Core C# IIS Administration SQL Server T-SQL and PL/SQL PowerShell scripting JavaScript legacy frameworks (including AngularJS) Azure DevOps Windows Server administration API integrations with enterprise Microsoft technologies Work Environment Remote or hybrid work environment based on program requirements. Clearance Requirements Ability to obtain and maintain a Public Trust clearance. Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now Our Profile: We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed. Time after time, programs failed because the focus was on the tools and products and not the people using them. Learn More. NuAxis is an Equal Opportunity/Affirmative Action Employer, including Vets and Disabled. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!

Job Title: Senior .NET Developer Visa : H4EAD, GC and USC ( Except OPT ) Exp : 12+ years Genuine Rate :Open Remote Job Description : We are seeking an experienced and highly skilled Senior .NET Developer to join our engineering department. In this role, you will lead the design and development of complex software solutions, websites, and cross-platform applications using the .NET framework. You will collaborate closely with cross-functional teams and stakeholders to translate business requirements into robust, secure, and scalable digital architectures. The ideal candidate is equally comfortable writing clean, efficient code and mentoring junior engineers to achieve technical excellence. Key Responsibilities Architecture & Design: Architect, build, and scale reliable .NET software systems. Clean Coding: Write clean, testable, and secure code using C# and .NET frameworks. SDLC Management: Oversee the entire software development lifecycle from initial concept through deployment. System Modernization: Refactor, update, and optimize existing legacy applications for performance. Team Mentorship: Guide junior developers and conduct thorough code reviews to maintain quality standards. Collaboration: Work with product owners to estimate timelines and scope technical solutions. Troubleshooting: Debug complex production bugs and system performance bottlenecks. Documentation: Create and maintain detailed technical documentation throughout the project lifecycle. Technical Skills & Qualifications Education: Bachelor's degree in Computer Science, IT, or a related field. Experience: 12+ years of professional software engineering experience using Microsoft technologies. Framework Mastery: In-depth proficiency in C#, .NET Core, .NET 8/9, and ASP.NET MVC. Database Management: Strong experience with SQL Server, Entity Framework, database design, and query optimization. Web & API Development: Proven track record of building and consuming RESTful APIs and Web APIs. Cloud Architecture: Hands-on experience deploying and managing applications on cloud platforms like Azure or AWS. Front-End Tools: Familiarity with modern web stacks including HTML5, CSS3, JavaScript, or Angular/React. DevOps & CI/CD: Proficiency using Git and automated pipelines via Azure DevOps or GitHub Actions. Call me or maill me to below mentioned. Mail : contact : +1

Job Title: Senior Developer / Tech Lead Location: Houston, TX or Chicago, IL (Hybrid) Duration: Temp - 5 months Pay Range: $58/hr to $64/hr (W2) Job ID: 406744 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Senior Developer / Technical Lead to join our team. The ideal candidate will have strong experience in .NET development, API integration, cloud messaging, CI/CD, and secure DevOps and a proven ability to lead end-to-end delivery, mentor teams, and establish development standards for scalable, secure solutions. Responsibilities: Design, develop, and maintain robust API integrations using JSON and Kong API Gateway. Implement and manage messaging solutions using IBM MQ and Solace. Develop secure applications leveraging AWS Key Management Service (KMS) for encryption and decryption. Build and optimize CI/CD pipelines using Harness or equivalent platforms. Integrate and automate security scanning with Veracode, SonarQube, GHAS, and Wiz. Collaborate with architects, DevOps, security, and product stakeholders to align solutions with business needs. Troubleshoot and resolve complex integration and messaging issues. Document technical designs, standards, processes, and procedures. Required Skills & Qualifications: 7+ years of software development focused on cloud-native applications. Technical leadership experience in an onshore/offshore model with ownership of delivery and team performance. Ability to mentor engineers, set coding standards, and promote consistency through delivery. Proven Agile experience with Scrum, sprint planning, and Jira for backlog management. Deep experience in .NET (required). Java experience is helpful. Strong background in API integration using JSON and Kong API Gateway. Hands-on experience with IBM MQ and Solace messaging platforms. Proficiency with AWS KMS for secure key management and encryption. Experience building CI/CD pipelines using Harness or similar tools. Familiarity with Veracode, SonarQube, GitHub Advanced Security (GHAS), and Wiz. Proficient in one or more languages such as Java, Python, .NET Core, or Node.js, with GitHub and GitHub Copilot usage. Experience with Jira for work tracking and execution. Proficiency with infrastructure as code, preferably Terraform. Proficient in application observability using tools such as Datadog or Dynatrace. Strong understanding of microservices architecture and secure coding practices. Preferred Skills: AWS Developer or Security certification. Experience with containerization using Docker. Professional or personal experience with Large Language Model (LLM) applications such as Claude Code (CLI). Experience with AI-assisted development. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits Opportunities for growth with global clients A supportive, inclusive culture that values innovation and people Exposure to cutting-edge technologies and projects About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

Senior. Distinguished AI Engineer - Agentic AI 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 at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of 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, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 . click apply for full job details

Distinguished AI Engineer - Agentic AI 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 at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree 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, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of 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, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished 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 Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details