Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. 1The Boeing Company is looking for an Site Reliability Engineer (Associate or Experienced) to join the Air Dominance Site Reliability Engineering team located in Berkeley, MO. We are seeking a highly talented, motivated, and creative individual to support the reliable operation, maintenance, and continuous improvement of mission-critical developer platforms used by Air Dominance engineering teams. This role will help operate and support GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, and related software delivery tools such as Artifactory and SonarQube. The selected candidate will work with senior engineers to monitor service health, respond to incidents, automate routine operational tasks, maintain documentation, and support secure, reliable developer workflows. Position Responsibilities: Support day-to-day operation of GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, and related developer tooling infrastructure Assist in the deployment and configuration of software development technologies, including build servers, version control systems, CI/CD pipelines, and automated testing frameworks Assist with cloud-based and on-premises infrastructure administration using approved Amazon Web Services (AWS), Microsoft Azure, Linux, virtualization, or container platform capabilities Monitor application, runner, database, storage, and host health using approved monitoring and alerting tools Triage and resolve routine service requests, access issues, pipeline infrastructure issues, and platform support tickets Assist with incident response during primary support hours and participate in after-hours support when required by mission need Help maintain operational runbooks, troubleshooting guides, architecture notes, and standard operating procedures Assist with backup monitoring, restore validation, patching, upgrades, and planned maintenance activities Support GitLab runner registration, runner health checks, runner queue troubleshooting, and basic capacity, KPI, and error budget reporting Create and maintain Infrastructure as Code (IaC), Ansible, and other scripts and automation to simplify infrastructure administration and software deployment under the guidance of more senior engineers Assist in setting up and maintaining development and production-like environments for developer tools and supporting application devices Assist delivery teams with information needed to establish and achieve SLIs, SLOs, SLAs, KPIs, and error budgets Support software development tool administration, maintenance, version upgrades, patch management, and integration between tools such as Jira, GitLab, Artifactory, Confluence, and SonarQube Contribute to metrics and dashboards that monitor system performance, software delivery health, and operational efficiency Follow approved change management, security, access control, and configuration management processes Collaborate with developers, project administrators, cybersecurity personnel, infrastructure teams, and program stakeholders Learn and apply Site Reliability Engineering practices, including incident management, service objectives, root cause analysis, automation, and continuous improvement Contribute to process improvements that help operationally field higher-quality end-to-end system software more frequently This position is expected to be 100% onsite. The selected candidate will be required to work onsite in Berkeley, MO. Basic Qualifications (Required Skills/ Experience): This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship as a condition of employment (An interim and/or final U.S. Secret Clearance Post-Start may be required) Ability to obtain access to Special Access Programs (SAP) Bachelor's Degree 2+ years of experience with software development and/or troubleshooting software Experience with GitLab, Azure DevOps and CI/CD (Continuous Integration and Continuous Delivery (CI/CD) Experience with designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud) Preferred Qualifications (Desired Skills/Experience): Level 3: 5 or more years' related work experience or an equivalent combination of education and experience Linux system administration, software development, DevOps, DevSecOps, IT operations, or related technical work Experience or coursework with Python, Java, C#, C++, or similar programming or scripting languages Experience or coursework with Agile software development Experience using or supporting source control, issue tracking, documentation, or CI/CD tools Basic understanding of networking, operating systems, databases, software build processes, and secure system administration Ability to follow documented procedures and communicate technical status clearly Experience with GitLab administration, GitLab CI/CD, GitLab runners, or similar source control and CI/CD platforms Experience with Jira, Confluence, or other Atlassian administration and support activities Experience with PostgreSQL administration, SQL troubleshooting, backups, or restore procedures Experience writing scripts in Bash, Python, PowerShell, or a similar language Experience with AWS, Microsoft Azure, configuration management, Infrastructure as Code, Ansible, containers, virtualization, or cloud-native tooling Experience with Artifactory, SonarQube, Jenkins, or similar software delivery tools Familiarity with monitoring, alerting, logging, incident response, and operational metrics Familiarity with Agile software development and secure software delivery practices Ability to obtain Security+ certification Strong customer service mindset and ability to support engineering teams in a mission-focused environment Strong written and verbal communication skills Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Associate (Level 2): $99,450 - $134,550 Summary Pay Range for Experienced (Level 3): $126,650 - $171,350 Applications for this position will be accepted until Jul. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
07/29/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. 1The Boeing Company is looking for an Site Reliability Engineer (Associate or Experienced) to join the Air Dominance Site Reliability Engineering team located in Berkeley, MO. We are seeking a highly talented, motivated, and creative individual to support the reliable operation, maintenance, and continuous improvement of mission-critical developer platforms used by Air Dominance engineering teams. This role will help operate and support GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, and related software delivery tools such as Artifactory and SonarQube. The selected candidate will work with senior engineers to monitor service health, respond to incidents, automate routine operational tasks, maintain documentation, and support secure, reliable developer workflows. Position Responsibilities: Support day-to-day operation of GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, and related developer tooling infrastructure Assist in the deployment and configuration of software development technologies, including build servers, version control systems, CI/CD pipelines, and automated testing frameworks Assist with cloud-based and on-premises infrastructure administration using approved Amazon Web Services (AWS), Microsoft Azure, Linux, virtualization, or container platform capabilities Monitor application, runner, database, storage, and host health using approved monitoring and alerting tools Triage and resolve routine service requests, access issues, pipeline infrastructure issues, and platform support tickets Assist with incident response during primary support hours and participate in after-hours support when required by mission need Help maintain operational runbooks, troubleshooting guides, architecture notes, and standard operating procedures Assist with backup monitoring, restore validation, patching, upgrades, and planned maintenance activities Support GitLab runner registration, runner health checks, runner queue troubleshooting, and basic capacity, KPI, and error budget reporting Create and maintain Infrastructure as Code (IaC), Ansible, and other scripts and automation to simplify infrastructure administration and software deployment under the guidance of more senior engineers Assist in setting up and maintaining development and production-like environments for developer tools and supporting application devices Assist delivery teams with information needed to establish and achieve SLIs, SLOs, SLAs, KPIs, and error budgets Support software development tool administration, maintenance, version upgrades, patch management, and integration between tools such as Jira, GitLab, Artifactory, Confluence, and SonarQube Contribute to metrics and dashboards that monitor system performance, software delivery health, and operational efficiency Follow approved change management, security, access control, and configuration management processes Collaborate with developers, project administrators, cybersecurity personnel, infrastructure teams, and program stakeholders Learn and apply Site Reliability Engineering practices, including incident management, service objectives, root cause analysis, automation, and continuous improvement Contribute to process improvements that help operationally field higher-quality end-to-end system software more frequently This position is expected to be 100% onsite. The selected candidate will be required to work onsite in Berkeley, MO. Basic Qualifications (Required Skills/ Experience): This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship as a condition of employment (An interim and/or final U.S. Secret Clearance Post-Start may be required) Ability to obtain access to Special Access Programs (SAP) Bachelor's Degree 2+ years of experience with software development and/or troubleshooting software Experience with GitLab, Azure DevOps and CI/CD (Continuous Integration and Continuous Delivery (CI/CD) Experience with designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud) Preferred Qualifications (Desired Skills/Experience): Level 3: 5 or more years' related work experience or an equivalent combination of education and experience Linux system administration, software development, DevOps, DevSecOps, IT operations, or related technical work Experience or coursework with Python, Java, C#, C++, or similar programming or scripting languages Experience or coursework with Agile software development Experience using or supporting source control, issue tracking, documentation, or CI/CD tools Basic understanding of networking, operating systems, databases, software build processes, and secure system administration Ability to follow documented procedures and communicate technical status clearly Experience with GitLab administration, GitLab CI/CD, GitLab runners, or similar source control and CI/CD platforms Experience with Jira, Confluence, or other Atlassian administration and support activities Experience with PostgreSQL administration, SQL troubleshooting, backups, or restore procedures Experience writing scripts in Bash, Python, PowerShell, or a similar language Experience with AWS, Microsoft Azure, configuration management, Infrastructure as Code, Ansible, containers, virtualization, or cloud-native tooling Experience with Artifactory, SonarQube, Jenkins, or similar software delivery tools Familiarity with monitoring, alerting, logging, incident response, and operational metrics Familiarity with Agile software development and secure software delivery practices Ability to obtain Security+ certification Strong customer service mindset and ability to support engineering teams in a mission-focused environment Strong written and verbal communication skills Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Associate (Level 2): $99,450 - $134,550 Summary Pay Range for Experienced (Level 3): $126,650 - $171,350 Applications for this position will be accepted until Jul. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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.
07/29/2026
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.
07/29/2026
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.
07/29/2026
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. We are seeking a highly skilled and experienced Senior AI Full Stack Software Engineer to join our innovative team at CMM. This role involves designing, developing, and deploying end-to-end AI-powered solutions, from robust backend services to intuitive user interfaces, to enhance our healthcare and decision-making platforms. Key Responsibilities Lead AI-Driven Healthcare Solutions: Design and deploy AI applications that support decision-making, patient engagement, and operational efficiency. Integrate AI into EHRs and Clinical Systems: Build scalable systems that incorporate LLMs, voice/image recognition, and document parsing into existing healthcare IT infrastructure. Develop and Optimize Data Pipelines: Ensure secure, HIPAA-compliant data pipelines for training and deploying AI models using structured and unstructured healthcare data (e.g., clinical notes, imaging, lab results). Model Evaluation and Compliance: Apply rigorous evaluation metrics (e.g., sensitivity, specificity, AUC-ROC) and ensure models meet regulatory and ethical standards. Mentor and Lead: Guide junior engineers and contribute to the strategic direction of AI initiatives within the organization. Rapid AI prototyping and iteration with product representatives to vet multiple concepts We are unable to provide sponsorship for this role presently or in the future. Priority will be given to candidates who reside in the Columbus, OH and Atlanta, GA metropolitan area. Minimum Qualifications 10+ years of software engineering experience, with 4+ years in AI/ML development preferred. B.S. degree in Computer Science or related engineering discipline, or equivalent experience Critical Skills 2+ years of experience building AI solutions in healthcare or life sciences. Deep understanding of healthcare data standards (e.g., HL7, FHIR) and compliance frameworks (e.g., HIPAA, GDPR). Healthcare AI Expertise: Proven ability to build AI models for clinical NLP, medical imaging, patient risk stratification, and care personalization. LLM & RAG Systems: Skilled in building retrieval-augmented generation systems using tools like Pydantic , Semantic Kernel, LangChain , LlamaIndex , and vector databases. Experienced in creating custom AI agents or spec-driven tools. Experience writing skills for Claude, Copilot, Codex etc. Prompt Engineering & Optimization: Advanced techniques for prompt tuning, caching, and benchmarking. Full Stack Development: Proficiency in Python, Node.js, and modern web frameworks. Preferred Skills Cloud & DevOps: Experience with secure cloud environments (AWS/GCP/Azure), containerization (Docker, Kubernetes), and CI/CD pipelines. AI Tooling: Familiarity with OpenAI, Hugging Face, PyDantic AI, TensorFlow, PyTorch , and healthcare-specific AI libraries. Communication & Leadership: Ability to communicate complex AI concepts to clinical and executive stakeholders and lead cross-functional teams. Experience mentoring and developing juniors in development an AI concepts/best practices. 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 $131,000 - $218,300 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!
07/27/2026
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. We are seeking a highly skilled and experienced Senior AI Full Stack Software Engineer to join our innovative team at CMM. This role involves designing, developing, and deploying end-to-end AI-powered solutions, from robust backend services to intuitive user interfaces, to enhance our healthcare and decision-making platforms. Key Responsibilities Lead AI-Driven Healthcare Solutions: Design and deploy AI applications that support decision-making, patient engagement, and operational efficiency. Integrate AI into EHRs and Clinical Systems: Build scalable systems that incorporate LLMs, voice/image recognition, and document parsing into existing healthcare IT infrastructure. Develop and Optimize Data Pipelines: Ensure secure, HIPAA-compliant data pipelines for training and deploying AI models using structured and unstructured healthcare data (e.g., clinical notes, imaging, lab results). Model Evaluation and Compliance: Apply rigorous evaluation metrics (e.g., sensitivity, specificity, AUC-ROC) and ensure models meet regulatory and ethical standards. Mentor and Lead: Guide junior engineers and contribute to the strategic direction of AI initiatives within the organization. Rapid AI prototyping and iteration with product representatives to vet multiple concepts We are unable to provide sponsorship for this role presently or in the future. Priority will be given to candidates who reside in the Columbus, OH and Atlanta, GA metropolitan area. Minimum Qualifications 10+ years of software engineering experience, with 4+ years in AI/ML development preferred. B.S. degree in Computer Science or related engineering discipline, or equivalent experience Critical Skills 2+ years of experience building AI solutions in healthcare or life sciences. Deep understanding of healthcare data standards (e.g., HL7, FHIR) and compliance frameworks (e.g., HIPAA, GDPR). Healthcare AI Expertise: Proven ability to build AI models for clinical NLP, medical imaging, patient risk stratification, and care personalization. LLM & RAG Systems: Skilled in building retrieval-augmented generation systems using tools like Pydantic , Semantic Kernel, LangChain , LlamaIndex , and vector databases. Experienced in creating custom AI agents or spec-driven tools. Experience writing skills for Claude, Copilot, Codex etc. Prompt Engineering & Optimization: Advanced techniques for prompt tuning, caching, and benchmarking. Full Stack Development: Proficiency in Python, Node.js, and modern web frameworks. Preferred Skills Cloud & DevOps: Experience with secure cloud environments (AWS/GCP/Azure), containerization (Docker, Kubernetes), and CI/CD pipelines. AI Tooling: Familiarity with OpenAI, Hugging Face, PyDantic AI, TensorFlow, PyTorch , and healthcare-specific AI libraries. Communication & Leadership: Ability to communicate complex AI concepts to clinical and executive stakeholders and lead cross-functional teams. Experience mentoring and developing juniors in development an AI concepts/best practices. 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 $131,000 - $218,300 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. We are seeking a highly skilled and experienced Senior AI Full Stack Software Engineer to join our innovative team at CMM. This role involves designing, developing, and deploying end-to-end AI-powered solutions, from robust backend services to intuitive user interfaces, to enhance our healthcare and decision-making platforms. Key Responsibilities Lead AI-Driven Healthcare Solutions: Design and deploy AI applications that support decision-making, patient engagement, and operational efficiency. Integrate AI into EHRs and Clinical Systems: Build scalable systems that incorporate LLMs, voice/image recognition, and document parsing into existing healthcare IT infrastructure. Develop and Optimize Data Pipelines: Ensure secure, HIPAA-compliant data pipelines for training and deploying AI models using structured and unstructured healthcare data (e.g., clinical notes, imaging, lab results). Model Evaluation and Compliance: Apply rigorous evaluation metrics (e.g., sensitivity, specificity, AUC-ROC) and ensure models meet regulatory and ethical standards. Mentor and Lead: Guide junior engineers and contribute to the strategic direction of AI initiatives within the organization. Rapid AI prototyping and iteration with product representatives to vet multiple concepts We are unable to provide sponsorship for this role presently or in the future. Priority will be given to candidates who reside in the Columbus, OH and Atlanta, GA metropolitan area. Minimum Qualifications 10+ years of software engineering experience, with 4+ years in AI/ML development preferred. B.S. degree in Computer Science or related engineering discipline, or equivalent experience Critical Skills 2+ years of experience building AI solutions in healthcare or life sciences. Deep understanding of healthcare data standards (e.g., HL7, FHIR) and compliance frameworks (e.g., HIPAA, GDPR). Healthcare AI Expertise: Proven ability to build AI models for clinical NLP, medical imaging, patient risk stratification, and care personalization. LLM & RAG Systems: Skilled in building retrieval-augmented generation systems using tools like Pydantic , Semantic Kernel, LangChain , LlamaIndex , and vector databases. Experienced in creating custom AI agents or spec-driven tools. Experience writing skills for Claude, Copilot, Codex etc. Prompt Engineering & Optimization: Advanced techniques for prompt tuning, caching, and benchmarking. Full Stack Development: Proficiency in Python, Node.js, and modern web frameworks. Preferred Skills Cloud & DevOps: Experience with secure cloud environments (AWS/GCP/Azure), containerization (Docker, Kubernetes), and CI/CD pipelines. AI Tooling: Familiarity with OpenAI, Hugging Face, PyDantic AI, TensorFlow, PyTorch , and healthcare-specific AI libraries. Communication & Leadership: Ability to communicate complex AI concepts to clinical and executive stakeholders and lead cross-functional teams. Experience mentoring and developing juniors in development an AI concepts/best practices. 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 $131,000 - $218,300 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!
07/27/2026
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. We are seeking a highly skilled and experienced Senior AI Full Stack Software Engineer to join our innovative team at CMM. This role involves designing, developing, and deploying end-to-end AI-powered solutions, from robust backend services to intuitive user interfaces, to enhance our healthcare and decision-making platforms. Key Responsibilities Lead AI-Driven Healthcare Solutions: Design and deploy AI applications that support decision-making, patient engagement, and operational efficiency. Integrate AI into EHRs and Clinical Systems: Build scalable systems that incorporate LLMs, voice/image recognition, and document parsing into existing healthcare IT infrastructure. Develop and Optimize Data Pipelines: Ensure secure, HIPAA-compliant data pipelines for training and deploying AI models using structured and unstructured healthcare data (e.g., clinical notes, imaging, lab results). Model Evaluation and Compliance: Apply rigorous evaluation metrics (e.g., sensitivity, specificity, AUC-ROC) and ensure models meet regulatory and ethical standards. Mentor and Lead: Guide junior engineers and contribute to the strategic direction of AI initiatives within the organization. Rapid AI prototyping and iteration with product representatives to vet multiple concepts We are unable to provide sponsorship for this role presently or in the future. Priority will be given to candidates who reside in the Columbus, OH and Atlanta, GA metropolitan area. Minimum Qualifications 10+ years of software engineering experience, with 4+ years in AI/ML development preferred. B.S. degree in Computer Science or related engineering discipline, or equivalent experience Critical Skills 2+ years of experience building AI solutions in healthcare or life sciences. Deep understanding of healthcare data standards (e.g., HL7, FHIR) and compliance frameworks (e.g., HIPAA, GDPR). Healthcare AI Expertise: Proven ability to build AI models for clinical NLP, medical imaging, patient risk stratification, and care personalization. LLM & RAG Systems: Skilled in building retrieval-augmented generation systems using tools like Pydantic , Semantic Kernel, LangChain , LlamaIndex , and vector databases. Experienced in creating custom AI agents or spec-driven tools. Experience writing skills for Claude, Copilot, Codex etc. Prompt Engineering & Optimization: Advanced techniques for prompt tuning, caching, and benchmarking. Full Stack Development: Proficiency in Python, Node.js, and modern web frameworks. Preferred Skills Cloud & DevOps: Experience with secure cloud environments (AWS/GCP/Azure), containerization (Docker, Kubernetes), and CI/CD pipelines. AI Tooling: Familiarity with OpenAI, Hugging Face, PyDantic AI, TensorFlow, PyTorch , and healthcare-specific AI libraries. Communication & Leadership: Ability to communicate complex AI concepts to clinical and executive stakeholders and lead cross-functional teams. Experience mentoring and developing juniors in development an AI concepts/best practices. 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 $131,000 - $218,300 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!
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. 1The Boeing Company is looking for an Site Reliability Engineer (Associate or Experienced) to join the Air Dominance Site Reliability Engineering team located in Berkeley, MO. We are seeking a highly talented, motivated, and creative individual to support the reliable operation, maintenance, and continuous improvement of mission-critical developer platforms used by Air Dominance engineering teams. This role will help operate and support GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, and related software delivery tools such as Artifactory and SonarQube. The selected candidate will work with senior engineers to monitor service health, respond to incidents, automate routine operational tasks, maintain documentation, and support secure, reliable developer workflows. Position Responsibilities: Support day-to-day operation of GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, and related developer tooling infrastructure Assist in the deployment and configuration of software development technologies, including build servers, version control systems, CI/CD pipelines, and automated testing frameworks Assist with cloud-based and on-premises infrastructure administration using approved Amazon Web Services (AWS), Microsoft Azure, Linux, virtualization, or container platform capabilities Monitor application, runner, database, storage, and host health using approved monitoring and alerting tools Triage and resolve routine service requests, access issues, pipeline infrastructure issues, and platform support tickets Assist with incident response during primary support hours and participate in after-hours support when required by mission need Help maintain operational runbooks, troubleshooting guides, architecture notes, and standard operating procedures Assist with backup monitoring, restore validation, patching, upgrades, and planned maintenance activities Support GitLab runner registration, runner health checks, runner queue troubleshooting, and basic capacity, KPI, and error budget reporting Create and maintain Infrastructure as Code (IaC), Ansible, and other scripts and automation to simplify infrastructure administration and software deployment under the guidance of more senior engineers Assist in setting up and maintaining development and production-like environments for developer tools and supporting application devices Assist delivery teams with information needed to establish and achieve SLIs, SLOs, SLAs, KPIs, and error budgets Support software development tool administration, maintenance, version upgrades, patch management, and integration between tools such as Jira, GitLab, Artifactory, Confluence, and SonarQube Contribute to metrics and dashboards that monitor system performance, software delivery health, and operational efficiency Follow approved change management, security, access control, and configuration management processes Collaborate with developers, project administrators, cybersecurity personnel, infrastructure teams, and program stakeholders Learn and apply Site Reliability Engineering practices, including incident management, service objectives, root cause analysis, automation, and continuous improvement Contribute to process improvements that help operationally field higher-quality end-to-end system software more frequently This position is expected to be 100% onsite. The selected candidate will be required to work onsite in Berkeley, MO. Basic Qualifications (Required Skills/ Experience): This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship as a condition of employment (An interim and/or final U.S. Secret Clearance Post-Start may be required) Ability to obtain access to Special Access Programs (SAP) Bachelor's Degree 2+ years of experience with software development and/or troubleshooting software Experience with GitLab, Azure DevOps and CI/CD (Continuous Integration and Continuous Delivery (CI/CD) Experience with designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud) Preferred Qualifications (Desired Skills/Experience): Level 3: 5 or more years' related work experience or an equivalent combination of education and experience Linux system administration, software development, DevOps, DevSecOps, IT operations, or related technical work Experience or coursework with Python, Java, C#, C++, or similar programming or scripting languages Experience or coursework with Agile software development Experience using or supporting source control, issue tracking, documentation, or CI/CD tools Basic understanding of networking, operating systems, databases, software build processes, and secure system administration Ability to follow documented procedures and communicate technical status clearly Experience with GitLab administration, GitLab CI/CD, GitLab runners, or similar source control and CI/CD platforms Experience with Jira, Confluence, or other Atlassian administration and support activities Experience with PostgreSQL administration, SQL troubleshooting, backups, or restore procedures Experience writing scripts in Bash, Python, PowerShell, or a similar language Experience with AWS, Microsoft Azure, configuration management, Infrastructure as Code, Ansible, containers, virtualization, or cloud-native tooling Experience with Artifactory, SonarQube, Jenkins, or similar software delivery tools Familiarity with monitoring, alerting, logging, incident response, and operational metrics Familiarity with Agile software development and secure software delivery practices Ability to obtain Security+ certification Strong customer service mindset and ability to support engineering teams in a mission-focused environment Strong written and verbal communication skills Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Associate (Level 2): $99,450 - $134,550 Summary Pay Range for Experienced (Level 3): $126,650 - $171,350 Applications for this position will be accepted until Jul. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. . click apply for full job details
07/27/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. 1The Boeing Company is looking for an Site Reliability Engineer (Associate or Experienced) to join the Air Dominance Site Reliability Engineering team located in Berkeley, MO. We are seeking a highly talented, motivated, and creative individual to support the reliable operation, maintenance, and continuous improvement of mission-critical developer platforms used by Air Dominance engineering teams. This role will help operate and support GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, and related software delivery tools such as Artifactory and SonarQube. The selected candidate will work with senior engineers to monitor service health, respond to incidents, automate routine operational tasks, maintain documentation, and support secure, reliable developer workflows. Position Responsibilities: Support day-to-day operation of GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, and related developer tooling infrastructure Assist in the deployment and configuration of software development technologies, including build servers, version control systems, CI/CD pipelines, and automated testing frameworks Assist with cloud-based and on-premises infrastructure administration using approved Amazon Web Services (AWS), Microsoft Azure, Linux, virtualization, or container platform capabilities Monitor application, runner, database, storage, and host health using approved monitoring and alerting tools Triage and resolve routine service requests, access issues, pipeline infrastructure issues, and platform support tickets Assist with incident response during primary support hours and participate in after-hours support when required by mission need Help maintain operational runbooks, troubleshooting guides, architecture notes, and standard operating procedures Assist with backup monitoring, restore validation, patching, upgrades, and planned maintenance activities Support GitLab runner registration, runner health checks, runner queue troubleshooting, and basic capacity, KPI, and error budget reporting Create and maintain Infrastructure as Code (IaC), Ansible, and other scripts and automation to simplify infrastructure administration and software deployment under the guidance of more senior engineers Assist in setting up and maintaining development and production-like environments for developer tools and supporting application devices Assist delivery teams with information needed to establish and achieve SLIs, SLOs, SLAs, KPIs, and error budgets Support software development tool administration, maintenance, version upgrades, patch management, and integration between tools such as Jira, GitLab, Artifactory, Confluence, and SonarQube Contribute to metrics and dashboards that monitor system performance, software delivery health, and operational efficiency Follow approved change management, security, access control, and configuration management processes Collaborate with developers, project administrators, cybersecurity personnel, infrastructure teams, and program stakeholders Learn and apply Site Reliability Engineering practices, including incident management, service objectives, root cause analysis, automation, and continuous improvement Contribute to process improvements that help operationally field higher-quality end-to-end system software more frequently This position is expected to be 100% onsite. The selected candidate will be required to work onsite in Berkeley, MO. Basic Qualifications (Required Skills/ Experience): This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship as a condition of employment (An interim and/or final U.S. Secret Clearance Post-Start may be required) Ability to obtain access to Special Access Programs (SAP) Bachelor's Degree 2+ years of experience with software development and/or troubleshooting software Experience with GitLab, Azure DevOps and CI/CD (Continuous Integration and Continuous Delivery (CI/CD) Experience with designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud) Preferred Qualifications (Desired Skills/Experience): Level 3: 5 or more years' related work experience or an equivalent combination of education and experience Linux system administration, software development, DevOps, DevSecOps, IT operations, or related technical work Experience or coursework with Python, Java, C#, C++, or similar programming or scripting languages Experience or coursework with Agile software development Experience using or supporting source control, issue tracking, documentation, or CI/CD tools Basic understanding of networking, operating systems, databases, software build processes, and secure system administration Ability to follow documented procedures and communicate technical status clearly Experience with GitLab administration, GitLab CI/CD, GitLab runners, or similar source control and CI/CD platforms Experience with Jira, Confluence, or other Atlassian administration and support activities Experience with PostgreSQL administration, SQL troubleshooting, backups, or restore procedures Experience writing scripts in Bash, Python, PowerShell, or a similar language Experience with AWS, Microsoft Azure, configuration management, Infrastructure as Code, Ansible, containers, virtualization, or cloud-native tooling Experience with Artifactory, SonarQube, Jenkins, or similar software delivery tools Familiarity with monitoring, alerting, logging, incident response, and operational metrics Familiarity with Agile software development and secure software delivery practices Ability to obtain Security+ certification Strong customer service mindset and ability to support engineering teams in a mission-focused environment Strong written and verbal communication skills Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Associate (Level 2): $99,450 - $134,550 Summary Pay Range for Experienced (Level 3): $126,650 - $171,350 Applications for this position will be accepted until Jul. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. . click apply for full job details
