MANTECH seeks a motivated, career and customer-oriented SIMULATION DEVELOPER to join our team in QUANTICO, VA. Join a high-impact team supporting the Marine Corps Warfighting Lab's transition to digital wargaming. As a Simulation Developer, you will serve as a trusted advisor to our customers, ensuring the technical architecture of wargames is robust and reliable while directly shaping the tools used to prepare Marines for the future fight. Responsibilities include but are not limited to: Designs, develops, and sustains simulation models and environments using a variety of programming languages, tools, and data sources Integrates models and simulations into larger system architectures and supports Marine Corps Warfighting Laboratory (MCWL) Wargaming Division efforts for interoperability testing and model orchestration Collaborates with engineers, analysts, and operational subject matter experts to enhance model fidelity and ensure simulation accuracy Implements new features, conducts model testing and validation, and troubleshoots issues across evolving simulation platforms Leads and supports planning, coordination, and documentation activities for simulation projects, including data collection, stakeholder alignment, and capability tracking Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, Game Development, or a related technical field Minimum of 2 years of software development experience focused on simulation or game-based environments. A total of 12 years' experience without a degree. Experience in programming languages such as C++, C#, Python, or Java Experience with simulation platforms or engines such as AFSIM, NGTS, OneSAF, Unity, Unreal Engine, Simio, or Arena Familiarity with version control systems and collaborative software development workflows Preferred Qualifications: Understanding of modeling and simulation principles in military or operational contexts Familiarity with mission engineering, wargaming, campaign analysis, or Naval Capabilities Integration Process (NCIP), and associated military systems/processes Knowledge of 3D graphics, physics engines, and database management systems (e.g., SQL) Experience applying Agile or Scrum development methodologies in simulation projects Strong communication, analytical, and cross-functional collaboration skills Clearance Requirements: Must possess a current/active TS/SCI security clearance. Physical Requirements: Must be able and willing to perform occasional manual labor and warehouse duties, with the ability to lift up to 50 pounds. Must be able to remain in a stationary position 50% of the time. Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
08/08/2026
Full time
MANTECH seeks a motivated, career and customer-oriented SIMULATION DEVELOPER to join our team in QUANTICO, VA. Join a high-impact team supporting the Marine Corps Warfighting Lab's transition to digital wargaming. As a Simulation Developer, you will serve as a trusted advisor to our customers, ensuring the technical architecture of wargames is robust and reliable while directly shaping the tools used to prepare Marines for the future fight. Responsibilities include but are not limited to: Designs, develops, and sustains simulation models and environments using a variety of programming languages, tools, and data sources Integrates models and simulations into larger system architectures and supports Marine Corps Warfighting Laboratory (MCWL) Wargaming Division efforts for interoperability testing and model orchestration Collaborates with engineers, analysts, and operational subject matter experts to enhance model fidelity and ensure simulation accuracy Implements new features, conducts model testing and validation, and troubleshoots issues across evolving simulation platforms Leads and supports planning, coordination, and documentation activities for simulation projects, including data collection, stakeholder alignment, and capability tracking Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, Game Development, or a related technical field Minimum of 2 years of software development experience focused on simulation or game-based environments. A total of 12 years' experience without a degree. Experience in programming languages such as C++, C#, Python, or Java Experience with simulation platforms or engines such as AFSIM, NGTS, OneSAF, Unity, Unreal Engine, Simio, or Arena Familiarity with version control systems and collaborative software development workflows Preferred Qualifications: Understanding of modeling and simulation principles in military or operational contexts Familiarity with mission engineering, wargaming, campaign analysis, or Naval Capabilities Integration Process (NCIP), and associated military systems/processes Knowledge of 3D graphics, physics engines, and database management systems (e.g., SQL) Experience applying Agile or Scrum development methodologies in simulation projects Strong communication, analytical, and cross-functional collaboration skills Clearance Requirements: Must possess a current/active TS/SCI security clearance. Physical Requirements: Must be able and willing to perform occasional manual labor and warehouse duties, with the ability to lift up to 50 pounds. Must be able to remain in a stationary position 50% of the time. Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
Date Posted: 2026-07-27 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Hardware in the Loop (HWIL) Department in Tucson, AZ is a multi-discipline organization responsible for designing, building and integrating state of the art testing environments (flight simulators for missiles), as the last step before flight test. On our team, you will work with weapon system designers to understand requirements, design solutions, integrate, and deploy the systems to help support tactical software development, testing, and delivery for missiles to the warfighter. This position is within the Effectors Center of the HWIL organization, and is an onsite role located in Tucson, AZ What You Will Do Collaborate in a multi-disciplinary team to develop software to control Hardware-In-the-Loop (HWIL) facilities (flight simulators for missiles). Determines end user needs by analyzing system capabilities to resolve problems on program intent, output requirements and input data acquisition. Ensures hardware and software standards are met. Design and implement build procedures that are used to support hardware and software product development and use. Software design, coding and integration in a real-time environment. May train software developers in the use of configuration management tools and the implementation of software quality standards. Includes control modeling (model based design) Qualifications You Must Have Typically requires a Bachelor's degree in Computer Science, Engineering or other STEM related field and a minimum of 5 years of relevant experience. Experience with software development in C++, using the object-oriented features. Experience including at least two of the following: Embedded Software, Embedded Software Security, Embedded Operating Systems (Linux, RTOS, VxWorks, etc), Software Architecture Design and Implementation. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. Qualifications We Prefer Strong organization, coordination, planning, teaming skills, as well as written and oral communication skills. Experience generating technical documentation and reports. Experience with RF theory and application in systems. Experience with electronics design and/or conducting data analysis using tools such as Matlab. Experience troubleshooting systems using test equipment such as oscilloscopes, logic analyzers, network analyzers, and/or spectrum analyzers. Knowledge of networking and IP addressed based equipment. Able to work and interface with a cross-discipline team. Experience with both Windows and Linux operating systems. Agile and Scrum team member experience Knowledge of or experience with software languages such as Java, C, C++, or similar languages; scripting languages such as Python and/or Perl, and MATLAB scripts for data analysis purposes. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
08/06/2026
Full time
Date Posted: 2026-07-27 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Hardware in the Loop (HWIL) Department in Tucson, AZ is a multi-discipline organization responsible for designing, building and integrating state of the art testing environments (flight simulators for missiles), as the last step before flight test. On our team, you will work with weapon system designers to understand requirements, design solutions, integrate, and deploy the systems to help support tactical software development, testing, and delivery for missiles to the warfighter. This position is within the Effectors Center of the HWIL organization, and is an onsite role located in Tucson, AZ What You Will Do Collaborate in a multi-disciplinary team to develop software to control Hardware-In-the-Loop (HWIL) facilities (flight simulators for missiles). Determines end user needs by analyzing system capabilities to resolve problems on program intent, output requirements and input data acquisition. Ensures hardware and software standards are met. Design and implement build procedures that are used to support hardware and software product development and use. Software design, coding and integration in a real-time environment. May train software developers in the use of configuration management tools and the implementation of software quality standards. Includes control modeling (model based design) Qualifications You Must Have Typically requires a Bachelor's degree in Computer Science, Engineering or other STEM related field and a minimum of 5 years of relevant experience. Experience with software development in C++, using the object-oriented features. Experience including at least two of the following: Embedded Software, Embedded Software Security, Embedded Operating Systems (Linux, RTOS, VxWorks, etc), Software Architecture Design and Implementation. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. Qualifications We Prefer Strong organization, coordination, planning, teaming skills, as well as written and oral communication skills. Experience generating technical documentation and reports. Experience with RF theory and application in systems. Experience with electronics design and/or conducting data analysis using tools such as Matlab. Experience troubleshooting systems using test equipment such as oscilloscopes, logic analyzers, network analyzers, and/or spectrum analyzers. Knowledge of networking and IP addressed based equipment. Able to work and interface with a cross-discipline team. Experience with both Windows and Linux operating systems. Agile and Scrum team member experience Knowledge of or experience with software languages such as Java, C, C++, or similar languages; scripting languages such as Python and/or Perl, and MATLAB scripts for data analysis purposes. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
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.
08/06/2026
Full time
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.
08/06/2026
Full time
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.
08/06/2026
Full time
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.
08/06/2026
Full time
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.
08/06/2026
Full time
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.
08/06/2026
Full time
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.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Candidate must be authorized to work in the U.S, now or in the future, without assistance or support from McKesson. McKesson is in the business of better health and we touch the lives of patients in virtually every aspect of healthcare. At Macro Helix, we are a leader in providing 340B software focused on helping customers improve financial performance, increase operating efficiencies, and maintain regulatory compliance. Every single McKesson employee contributes to our mission-by joining McKesson you act as a catalyst in a chain of events that helps millions of people all over the globe. We understand the importance of a system that works together. You'll collaborate on the products and solutions that help us carry out our mission to improve lives and advance healthcare. Your expertise, drive and passion can help us improve everything we touch, from providers to payors to pharmacies. Working here is your opportunity to shape an industry that's vital to us all. Join our team of leaders to begin a rewarding career. Key Responsibilities Analyze existing software and develop solution for cloud platform using .NET Core/C#/Azure/Web API Lead and participate in technical design discussions that produce high-performance, highly scalable, and resilient software components. Collaborate with other engineers and product owners and QA members to identify best in class software solutions to complex problems in the health care industry. Maintain existing legacy applications written in ASP.Net/c#.Net through defect correction and refactoring. Take a quality-first approach to software development by producing unit tests and automate functional testing as much as possible. Conduct code reviews with other developers, including security checks. Actively participate in Agile Daily Standups/ Sprint Planning/ Refinements / Retrospectives and Sprint demos. Promote SOLID design principles for software development in a cloud-based environment to implement a code that can easily be modified, tested, extended, and refactored without any problems. Minimum Requirement Degree or equivalent and typically requires 2+ years of relevant experience. Education 4 years degree in computer science or related field or equivalent experience Critical Skills 2+ years of experience developing web-based applications using Microsoft technologies. Proficiency in C#, ASP.NET/.NET Core, JavaScript/TypeScript, Angular, HTML, and CSS. Experience building and supporting cloud-based solutions in Azure (AWS/GCP exposure welcomed). Strong SQL Server experience, including working within high-volume transactional environments. Hands-on experience with Git-based source control, CI/CD pipelines, and modern development practices. Solid foundation in object-oriented programming, software design, testing, debugging, and code quality. Strong analytical, problem-solving, and collaboration skills with keen attention to detail. Additional Knowledge & Skills Experience working with secure web services and API Agile software methodology experience Experience with Data bricks Experience with JIRA and Confluence Health care experience is a plus Agency Statement No agencies please. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $38.94 - $64.90 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
08/06/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Candidate must be authorized to work in the U.S, now or in the future, without assistance or support from McKesson. McKesson is in the business of better health and we touch the lives of patients in virtually every aspect of healthcare. At Macro Helix, we are a leader in providing 340B software focused on helping customers improve financial performance, increase operating efficiencies, and maintain regulatory compliance. Every single McKesson employee contributes to our mission-by joining McKesson you act as a catalyst in a chain of events that helps millions of people all over the globe. We understand the importance of a system that works together. You'll collaborate on the products and solutions that help us carry out our mission to improve lives and advance healthcare. Your expertise, drive and passion can help us improve everything we touch, from providers to payors to pharmacies. Working here is your opportunity to shape an industry that's vital to us all. Join our team of leaders to begin a rewarding career. Key Responsibilities Analyze existing software and develop solution for cloud platform using .NET Core/C#/Azure/Web API Lead and participate in technical design discussions that produce high-performance, highly scalable, and resilient software components. Collaborate with other engineers and product owners and QA members to identify best in class software solutions to complex problems in the health care industry. Maintain existing legacy applications written in ASP.Net/c#.Net through defect correction and refactoring. Take a quality-first approach to software development by producing unit tests and automate functional testing as much as possible. Conduct code reviews with other developers, including security checks. Actively participate in Agile Daily Standups/ Sprint Planning/ Refinements / Retrospectives and Sprint demos. Promote SOLID design principles for software development in a cloud-based environment to implement a code that can easily be modified, tested, extended, and refactored without any problems. Minimum Requirement Degree or equivalent and typically requires 2+ years of relevant experience. Education 4 years degree in computer science or related field or equivalent experience Critical Skills 2+ years of experience developing web-based applications using Microsoft technologies. Proficiency in C#, ASP.NET/.NET Core, JavaScript/TypeScript, Angular, HTML, and CSS. Experience building and supporting cloud-based solutions in Azure (AWS/GCP exposure welcomed). Strong SQL Server experience, including working within high-volume transactional environments. Hands-on experience with Git-based source control, CI/CD pipelines, and modern development practices. Solid foundation in object-oriented programming, software design, testing, debugging, and code quality. Strong analytical, problem-solving, and collaboration skills with keen attention to detail. Additional Knowledge & Skills Experience working with secure web services and API Agile software methodology experience Experience with Data bricks Experience with JIRA and Confluence Health care experience is a plus Agency Statement No agencies please. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $38.94 - $64.90 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.
08/05/2026
Full time
This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.
This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.
08/05/2026
Full time
This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.
This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.
08/05/2026
Full time
This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.
This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.
08/05/2026
Full time
This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Position Summary McKesson Corporation is seeking talented Software Developer to join our Supply Chain Technology team with a strong background in microservices architecture, system integrations, CP4D, Apache Kafka, and Artificial Intelligence (AI) . This role is ideal for someone with 4+ years of hands-on development experience who thrives in a fast-paced, innovation-driven environment. You will be responsible for designing and implementing scalable, intelligent systems that power modern enterprise applications and data-driven decision-making. Key Responsibilities Architect, develop, and maintain microservices-based applications using modern frameworks and cloud-native technologies. Design and implement real-time data streaming solutions using Apache Kafka. Build robust integrations between internal systems and third-party platforms using APIs, messaging queues, and middleware. Collaborate with AI/ML teams to embed intelligent features into applications, including predictive analytics, NLP, and automation. Develop and maintain ETL pipelines using CP4D. Write and optimize SQL and PL/SQL queries, stored procedures, and triggers in Oracle. Ensure high performance, scalability, and reliability of distributed systems. Participate in agile development processes, including sprint planning, code reviews, and CI/CD. Monitor and troubleshoot production systems, ensuring uptime and responsiveness. Minimum Qualifications Typically requires 4+ years of relevant experience. Critical Skills Strong proficiency in programming languages such as Java, JavaScript, Python, or Go. Hands-on experience with microservices architecture and containerization (Docker, Kubernetes). Experience with cloud platforms (GCP, Azure, AWS). Proficient in ETL development, Oracle performance tuning, and complex SQL. Deep understanding of Apache Kafka for event-driven and real-time data processing. Experience implementing AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong problem-solving skills and ability to work independently and in teams Preferred Attributes Experience in healthcare or supply chain domain. Strong analytical and problem-solving skills. Knowledge of API gateways, service mesh, and observability tools. Experience with MLOps and deploying AI models in production environments. Certifications in cloud, Kafka, or AI technologies. Exposure to data engineering and big data tools (e.g., Spark, Flink). Education Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). About McKesson Medical-Surgical McKesson Medical-Surgical (MMS) is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical-surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets - often referred to as Alternate Care or Non-Acute Care - include physician offices, surgery centers, long-term care providers, laboratories, home health and hospice agencies, health systems, government facilities and online marketplaces and retailers. Alternate Care markets are growing rapidly and MMS is proud to be a leader in this space. With a team of approximately 8,000 employees, a network of 15 distribution centers and approximately 900 delivery vehicles, we partner with more than 2,200 leading manufacturers and serve over 200,000 customer accounts across the U.S. Our catalog includes more than 280,000 SKUs of branded and private-label medical-surgical products - from bandages to specialty pharmaceuticals and COVID-19 tests. Looking Ahead: A New Chapter for MMS McKesson has announced its intent to separate MMS into an independent company by taking it public through an initial public offering (IPO). The separation could be completed by the second half of calendar year 2027, pending market factors and regulatory approvals. This is an exciting evolution that builds on MMS's strong foundation and proven leadership in the Alternate Care space. As a standalone company, MMS would be positioned to unlock new opportunities to innovate, grow and lead with even greater agility and focus. We will also continue to be one of the largest medical-surgical distributors in the U.S., with over $11B in annual sales. This separation would accelerate our mission and empower us to shape a future defined by customer-centricity, bold thinking and operational excellence. For job seekers, it's a unique moment to join a team that's already making a meaningful impact and leading the way in shaping the future of healthcare delivery in Alternate Care settings - with even greater opportunity ahead as we prepare to become an independent company. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $103,500 - $172,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
08/05/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Position Summary McKesson Corporation is seeking talented Software Developer to join our Supply Chain Technology team with a strong background in microservices architecture, system integrations, CP4D, Apache Kafka, and Artificial Intelligence (AI) . This role is ideal for someone with 4+ years of hands-on development experience who thrives in a fast-paced, innovation-driven environment. You will be responsible for designing and implementing scalable, intelligent systems that power modern enterprise applications and data-driven decision-making. Key Responsibilities Architect, develop, and maintain microservices-based applications using modern frameworks and cloud-native technologies. Design and implement real-time data streaming solutions using Apache Kafka. Build robust integrations between internal systems and third-party platforms using APIs, messaging queues, and middleware. Collaborate with AI/ML teams to embed intelligent features into applications, including predictive analytics, NLP, and automation. Develop and maintain ETL pipelines using CP4D. Write and optimize SQL and PL/SQL queries, stored procedures, and triggers in Oracle. Ensure high performance, scalability, and reliability of distributed systems. Participate in agile development processes, including sprint planning, code reviews, and CI/CD. Monitor and troubleshoot production systems, ensuring uptime and responsiveness. Minimum Qualifications Typically requires 4+ years of relevant experience. Critical Skills Strong proficiency in programming languages such as Java, JavaScript, Python, or Go. Hands-on experience with microservices architecture and containerization (Docker, Kubernetes). Experience with cloud platforms (GCP, Azure, AWS). Proficient in ETL development, Oracle performance tuning, and complex SQL. Deep understanding of Apache Kafka for event-driven and real-time data processing. Experience implementing AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong problem-solving skills and ability to work independently and in teams Preferred Attributes Experience in healthcare or supply chain domain. Strong analytical and problem-solving skills. Knowledge of API gateways, service mesh, and observability tools. Experience with MLOps and deploying AI models in production environments. Certifications in cloud, Kafka, or AI technologies. Exposure to data engineering and big data tools (e.g., Spark, Flink). Education Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). About McKesson Medical-Surgical McKesson Medical-Surgical (MMS) is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical-surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets - often referred to as Alternate Care or Non-Acute Care - include physician offices, surgery centers, long-term care providers, laboratories, home health and hospice agencies, health systems, government facilities and online marketplaces and retailers. Alternate Care markets are growing rapidly and MMS is proud to be a leader in this space. With a team of approximately 8,000 employees, a network of 15 distribution centers and approximately 900 delivery vehicles, we partner with more than 2,200 leading manufacturers and serve over 200,000 customer accounts across the U.S. Our catalog includes more than 280,000 SKUs of branded and private-label medical-surgical products - from bandages to specialty pharmaceuticals and COVID-19 tests. Looking Ahead: A New Chapter for MMS McKesson has announced its intent to separate MMS into an independent company by taking it public through an initial public offering (IPO). The separation could be completed by the second half of calendar year 2027, pending market factors and regulatory approvals. This is an exciting evolution that builds on MMS's strong foundation and proven leadership in the Alternate Care space. As a standalone company, MMS would be positioned to unlock new opportunities to innovate, grow and lead with even greater agility and focus. We will also continue to be one of the largest medical-surgical distributors in the U.S., with over $11B in annual sales. This separation would accelerate our mission and empower us to shape a future defined by customer-centricity, bold thinking and operational excellence. For job seekers, it's a unique moment to join a team that's already making a meaningful impact and leading the way in shaping the future of healthcare delivery in Alternate Care settings - with even greater opportunity ahead as we prepare to become an independent company. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $103,500 - $172,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Position Summary McKesson Corporation is seeking talented Software Developer to join our Supply Chain Technology team with a strong background in microservices architecture, system integrations, CP4D, Apache Kafka, and Artificial Intelligence (AI) . This role is ideal for someone with 4+ years of hands-on development experience who thrives in a fast-paced, innovation-driven environment. You will be responsible for designing and implementing scalable, intelligent systems that power modern enterprise applications and data-driven decision-making. Key Responsibilities Architect, develop, and maintain microservices-based applications using modern frameworks and cloud-native technologies. Design and implement real-time data streaming solutions using Apache Kafka. Build robust integrations between internal systems and third-party platforms using APIs, messaging queues, and middleware. Collaborate with AI/ML teams to embed intelligent features into applications, including predictive analytics, NLP, and automation. Develop and maintain ETL pipelines using CP4D. Write and optimize SQL and PL/SQL queries, stored procedures, and triggers in Oracle. Ensure high performance, scalability, and reliability of distributed systems. Participate in agile development processes, including sprint planning, code reviews, and CI/CD. Monitor and troubleshoot production systems, ensuring uptime and responsiveness. Minimum Qualifications Typically requires 4+ years of relevant experience. Critical Skills Strong proficiency in programming languages such as Java, JavaScript, Python, or Go. Hands-on experience with microservices architecture and containerization (Docker, Kubernetes). Experience with cloud platforms (GCP, Azure, AWS). Proficient in ETL development, Oracle performance tuning, and complex SQL. Deep understanding of Apache Kafka for event-driven and real-time data processing. Experience implementing AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong problem-solving skills and ability to work independently and in teams Preferred Attributes Experience in healthcare or supply chain domain. Strong analytical and problem-solving skills. Knowledge of API gateways, service mesh, and observability tools. Experience with MLOps and deploying AI models in production environments. Certifications in cloud, Kafka, or AI technologies. Exposure to data engineering and big data tools (e.g., Spark, Flink). Education Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). About McKesson Medical-Surgical McKesson Medical-Surgical (MMS) is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical-surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets - often referred to as Alternate Care or Non-Acute Care - include physician offices, surgery centers, long-term care providers, laboratories, home health and hospice agencies, health systems, government facilities and online marketplaces and retailers. Alternate Care markets are growing rapidly and MMS is proud to be a leader in this space. With a team of approximately 8,000 employees, a network of 15 distribution centers and approximately 900 delivery vehicles, we partner with more than 2,200 leading manufacturers and serve over 200,000 customer accounts across the U.S. Our catalog includes more than 280,000 SKUs of branded and private-label medical-surgical products - from bandages to specialty pharmaceuticals and COVID-19 tests. Looking Ahead: A New Chapter for MMS McKesson has announced its intent to separate MMS into an independent company by taking it public through an initial public offering (IPO). The separation could be completed by the second half of calendar year 2027, pending market factors and regulatory approvals. This is an exciting evolution that builds on MMS's strong foundation and proven leadership in the Alternate Care space. As a standalone company, MMS would be positioned to unlock new opportunities to innovate, grow and lead with even greater agility and focus. We will also continue to be one of the largest medical-surgical distributors in the U.S., with over $11B in annual sales. This separation would accelerate our mission and empower us to shape a future defined by customer-centricity, bold thinking and operational excellence. For job seekers, it's a unique moment to join a team that's already making a meaningful impact and leading the way in shaping the future of healthcare delivery in Alternate Care settings - with even greater opportunity ahead as we prepare to become an independent company. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $103,500 - $172,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
08/05/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Position Summary McKesson Corporation is seeking talented Software Developer to join our Supply Chain Technology team with a strong background in microservices architecture, system integrations, CP4D, Apache Kafka, and Artificial Intelligence (AI) . This role is ideal for someone with 4+ years of hands-on development experience who thrives in a fast-paced, innovation-driven environment. You will be responsible for designing and implementing scalable, intelligent systems that power modern enterprise applications and data-driven decision-making. Key Responsibilities Architect, develop, and maintain microservices-based applications using modern frameworks and cloud-native technologies. Design and implement real-time data streaming solutions using Apache Kafka. Build robust integrations between internal systems and third-party platforms using APIs, messaging queues, and middleware. Collaborate with AI/ML teams to embed intelligent features into applications, including predictive analytics, NLP, and automation. Develop and maintain ETL pipelines using CP4D. Write and optimize SQL and PL/SQL queries, stored procedures, and triggers in Oracle. Ensure high performance, scalability, and reliability of distributed systems. Participate in agile development processes, including sprint planning, code reviews, and CI/CD. Monitor and troubleshoot production systems, ensuring uptime and responsiveness. Minimum Qualifications Typically requires 4+ years of relevant experience. Critical Skills Strong proficiency in programming languages such as Java, JavaScript, Python, or Go. Hands-on experience with microservices architecture and containerization (Docker, Kubernetes). Experience with cloud platforms (GCP, Azure, AWS). Proficient in ETL development, Oracle performance tuning, and complex SQL. Deep understanding of Apache Kafka for event-driven and real-time data processing. Experience implementing AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong problem-solving skills and ability to work independently and in teams Preferred Attributes Experience in healthcare or supply chain domain. Strong analytical and problem-solving skills. Knowledge of API gateways, service mesh, and observability tools. Experience with MLOps and deploying AI models in production environments. Certifications in cloud, Kafka, or AI technologies. Exposure to data engineering and big data tools (e.g., Spark, Flink). Education Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). About McKesson Medical-Surgical McKesson Medical-Surgical (MMS) is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical-surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets - often referred to as Alternate Care or Non-Acute Care - include physician offices, surgery centers, long-term care providers, laboratories, home health and hospice agencies, health systems, government facilities and online marketplaces and retailers. Alternate Care markets are growing rapidly and MMS is proud to be a leader in this space. With a team of approximately 8,000 employees, a network of 15 distribution centers and approximately 900 delivery vehicles, we partner with more than 2,200 leading manufacturers and serve over 200,000 customer accounts across the U.S. Our catalog includes more than 280,000 SKUs of branded and private-label medical-surgical products - from bandages to specialty pharmaceuticals and COVID-19 tests. Looking Ahead: A New Chapter for MMS McKesson has announced its intent to separate MMS into an independent company by taking it public through an initial public offering (IPO). The separation could be completed by the second half of calendar year 2027, pending market factors and regulatory approvals. This is an exciting evolution that builds on MMS's strong foundation and proven leadership in the Alternate Care space. As a standalone company, MMS would be positioned to unlock new opportunities to innovate, grow and lead with even greater agility and focus. We will also continue to be one of the largest medical-surgical distributors in the U.S., with over $11B in annual sales. This separation would accelerate our mission and empower us to shape a future defined by customer-centricity, bold thinking and operational excellence. For job seekers, it's a unique moment to join a team that's already making a meaningful impact and leading the way in shaping the future of healthcare delivery in Alternate Care settings - with even greater opportunity ahead as we prepare to become an independent company. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $103,500 - $172,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
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.
08/04/2026
Full time
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.
08/04/2026
Full time
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.
08/04/2026
Full time
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.
SimVentions, Inc - Glassdoor 4.6
Fredericksburg, Virginia
Overview: SimVentions is 100% employee-owned and proudly ranked among Virginia's Best Places to Work year after year! We are actively seeking a highly skilled and motivated Senior Software Developer to support development and integration of Government-owned and contractor-developed software aboard Unmanned Surface Vessels (USVs). Travel: Negligible Clearance: An Interim Secret Clearance is required for this position. Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance. Requirements: Experience managing project workflows and driving team collaboration using VS Code, JetBrain's IntelliJ, JIRA, Confluence, and GitLab Experience in JAVA and Rust Experience in C++ and Python Knowledge of Docker and CI/CD pipeline development Experience with Linux Environments (Ubuntu / RedHat) Experience with agile software development practices Responsibilities: Key responsibilities include implementing secure, scalable software architectures and mastering various vendor platforms, payloads, and sensors for successful hardware integration. This role requires close collaboration with the H62 Mission Autonomy Lead to manage agile cycles and translate complex operational requirements into technical specifications. The candidate must be adept at establishing technical baselines and prioritizing high-impact development tasks. Preferred Skills and Experience: At least 8 years of software development experience Experience in networking and protobuf Experience leading, mentoring, and managing high-performing software development teams Ability to be a motivated, self-starter Ability and desire to quickly learn new skills or grow knowledge areas Education: A Bachelor of Science (BS) degree from an accredited college or university in an engineering, scientific, or technical discipline is required Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements. The projected annual compensation range for this position is $92,090 - $135,000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers. Benefits: At SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs. We offer: Medical, dental, vision, and prescription drug coverage Employee Stock Ownership Plan (ESOP) Competitive 401(k) programs Retirement and Financial Counselors Health Savings and Health Reimbursement Accounts Flexible Spending Accounts Life insurance, short- & long-term disability Continuing Education Assistance Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military) Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling Supplemental Benefit Program Why Work for SimVentions?: SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It's also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together. Support Our Warfighters SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world. Drive Customer Success We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact. Get Involved in Giving Back We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year. Build Innovative Technology SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer's success. Work with Brilliant People We don't just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture. Create Meaningful Solutions We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve. Employees who join SimVentions will enjoy additional perks like: Employee Ownership: Work with the best and help build YOUR company! Family focus: Work for a team that recognizes the importance of family time. Culture: Add to our culture of technical excellence and collaboration. Dress code: Business casual, we like to be comfortable while we work. Resources: Excellent facilities, tools, and training opportunities to grow in your field. Open communication: Work in an environment where your voice matters. Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development. Employee Appreciation: Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more. Founding Partner of the FredNats Baseball team: Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite. Food: We have a lot of food around here! FTAC
08/04/2026
Full time
Overview: SimVentions is 100% employee-owned and proudly ranked among Virginia's Best Places to Work year after year! We are actively seeking a highly skilled and motivated Senior Software Developer to support development and integration of Government-owned and contractor-developed software aboard Unmanned Surface Vessels (USVs). Travel: Negligible Clearance: An Interim Secret Clearance is required for this position. Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance. Requirements: Experience managing project workflows and driving team collaboration using VS Code, JetBrain's IntelliJ, JIRA, Confluence, and GitLab Experience in JAVA and Rust Experience in C++ and Python Knowledge of Docker and CI/CD pipeline development Experience with Linux Environments (Ubuntu / RedHat) Experience with agile software development practices Responsibilities: Key responsibilities include implementing secure, scalable software architectures and mastering various vendor platforms, payloads, and sensors for successful hardware integration. This role requires close collaboration with the H62 Mission Autonomy Lead to manage agile cycles and translate complex operational requirements into technical specifications. The candidate must be adept at establishing technical baselines and prioritizing high-impact development tasks. Preferred Skills and Experience: At least 8 years of software development experience Experience in networking and protobuf Experience leading, mentoring, and managing high-performing software development teams Ability to be a motivated, self-starter Ability and desire to quickly learn new skills or grow knowledge areas Education: A Bachelor of Science (BS) degree from an accredited college or university in an engineering, scientific, or technical discipline is required Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements. The projected annual compensation range for this position is $92,090 - $135,000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers. Benefits: At SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs. We offer: Medical, dental, vision, and prescription drug coverage Employee Stock Ownership Plan (ESOP) Competitive 401(k) programs Retirement and Financial Counselors Health Savings and Health Reimbursement Accounts Flexible Spending Accounts Life insurance, short- & long-term disability Continuing Education Assistance Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military) Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling Supplemental Benefit Program Why Work for SimVentions?: SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It's also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together. Support Our Warfighters SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world. Drive Customer Success We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact. Get Involved in Giving Back We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year. Build Innovative Technology SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer's success. Work with Brilliant People We don't just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture. Create Meaningful Solutions We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve. Employees who join SimVentions will enjoy additional perks like: Employee Ownership: Work with the best and help build YOUR company! Family focus: Work for a team that recognizes the importance of family time. Culture: Add to our culture of technical excellence and collaboration. Dress code: Business casual, we like to be comfortable while we work. Resources: Excellent facilities, tools, and training opportunities to grow in your field. Open communication: Work in an environment where your voice matters. Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development. Employee Appreciation: Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more. Founding Partner of the FredNats Baseball team: Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite. Food: We have a lot of food around here! FTAC
Overview: SimVentions is 100% employee-owned and proudly ranked among Virginia's Best Places to Work year after year! We are actively seeking a highly skilled and motivated Senior Software Developer to support development and integration of Government-owned and contractor-developed software aboard Unmanned Surface Vessels (USVs). Travel: Negligible Clearance: An Interim Secret Clearance is required for this position. Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance. Requirements: Experience managing project workflows and driving team collaboration using VS Code, JetBrain's IntelliJ, JIRA, Confluence, and GitLab Experience in JAVA and Rust Experience in C++ and Python Knowledge of Docker and CI/CD pipeline development Experience with Linux Environments (Ubuntu / RedHat) Experience with agile software development practices Responsibilities: Key responsibilities include implementing secure, scalable software architectures and mastering various vendor platforms, payloads, and sensors for successful hardware integration. This role requires close collaboration with the H62 Mission Autonomy Lead to manage agile cycles and translate complex operational requirements into technical specifications. The candidate must be adept at establishing technical baselines and prioritizing high-impact development tasks. Preferred Skills and Experience: At least 8 years of software development experience Experience in networking and protobuf Experience leading, mentoring, and managing high-performing software development teams Ability to be a motivated, self-starter Ability and desire to quickly learn new skills or grow knowledge areas Education: A Bachelor of Science (BS) degree from an accredited college or university in an engineering, scientific, or technical discipline is required Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements. The projected annual compensation range for this position is $92,090 - $135,000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers. Benefits: At SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs. We offer: Medical, dental, vision, and prescription drug coverage Employee Stock Ownership Plan (ESOP) Competitive 401(k) programs Retirement and Financial Counselors Health Savings and Health Reimbursement Accounts Flexible Spending Accounts Life insurance, short- & long-term disability Continuing Education Assistance Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military) Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling Supplemental Benefit Program Why Work for SimVentions?: SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It's also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together. Support Our Warfighters SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world. Drive Customer Success We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact. Get Involved in Giving Back We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year. Build Innovative Technology SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer's success. Work with Brilliant People We don't just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture. Create Meaningful Solutions We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve. Employees who join SimVentions will enjoy additional perks like: Employee Ownership: Work with the best and help build YOUR company! Family focus: Work for a team that recognizes the importance of family time. Culture: Add to our culture of technical excellence and collaboration. Dress code: Business casual, we like to be comfortable while we work. Resources: Excellent facilities, tools, and training opportunities to grow in your field. Open communication: Work in an environment where your voice matters. Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development. Employee Appreciation: Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more. Founding Partner of the FredNats Baseball team: Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite. Food: We have a lot of food around here! FTAC
08/04/2026
Full time
Overview: SimVentions is 100% employee-owned and proudly ranked among Virginia's Best Places to Work year after year! We are actively seeking a highly skilled and motivated Senior Software Developer to support development and integration of Government-owned and contractor-developed software aboard Unmanned Surface Vessels (USVs). Travel: Negligible Clearance: An Interim Secret Clearance is required for this position. Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance. Requirements: Experience managing project workflows and driving team collaboration using VS Code, JetBrain's IntelliJ, JIRA, Confluence, and GitLab Experience in JAVA and Rust Experience in C++ and Python Knowledge of Docker and CI/CD pipeline development Experience with Linux Environments (Ubuntu / RedHat) Experience with agile software development practices Responsibilities: Key responsibilities include implementing secure, scalable software architectures and mastering various vendor platforms, payloads, and sensors for successful hardware integration. This role requires close collaboration with the H62 Mission Autonomy Lead to manage agile cycles and translate complex operational requirements into technical specifications. The candidate must be adept at establishing technical baselines and prioritizing high-impact development tasks. Preferred Skills and Experience: At least 8 years of software development experience Experience in networking and protobuf Experience leading, mentoring, and managing high-performing software development teams Ability to be a motivated, self-starter Ability and desire to quickly learn new skills or grow knowledge areas Education: A Bachelor of Science (BS) degree from an accredited college or university in an engineering, scientific, or technical discipline is required Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements. The projected annual compensation range for this position is $92,090 - $135,000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers. Benefits: At SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs. We offer: Medical, dental, vision, and prescription drug coverage Employee Stock Ownership Plan (ESOP) Competitive 401(k) programs Retirement and Financial Counselors Health Savings and Health Reimbursement Accounts Flexible Spending Accounts Life insurance, short- & long-term disability Continuing Education Assistance Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military) Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling Supplemental Benefit Program Why Work for SimVentions?: SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It's also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together. Support Our Warfighters SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world. Drive Customer Success We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact. Get Involved in Giving Back We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year. Build Innovative Technology SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer's success. Work with Brilliant People We don't just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture. Create Meaningful Solutions We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve. Employees who join SimVentions will enjoy additional perks like: Employee Ownership: Work with the best and help build YOUR company! Family focus: Work for a team that recognizes the importance of family time. Culture: Add to our culture of technical excellence and collaboration. Dress code: Business casual, we like to be comfortable while we work. Resources: Excellent facilities, tools, and training opportunities to grow in your field. Open communication: Work in an environment where your voice matters. Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development. Employee Appreciation: Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more. Founding Partner of the FredNats Baseball team: Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite. Food: We have a lot of food around here! FTAC
