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AI Platform Engineer
MassMutual Springfield, Massachusetts
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer
MassMutual Boston, Massachusetts
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer
MassMutual New York, New York
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
Systems Engineer
Medical Manufacturing Technologies LLC Charlotte, North Carolina
Job Description Job Description Description: Systems Engineer II Information Technology Remote (U.S.) Full-Time Salary $92,600 - $120,000 annually, plus Bonus Plan eligibility ABOUT MMT At Medical Manufacturing Technologies (MMT), streamlined manufacturing opens doors to innovation without limitation, and, ultimately, enhances lives. As a vertically integrated, global provider of automated, process-driven medical device manufacturing solutions, we bring together applications expertise, technical solutions, and comprehensive aftermarket support for our customers. Our mission is to enable the continuous advancement of medical technology and other critical markets, and we want every employee to come to work each day ready to do the best work of their career in a safe, diverse, and collaborative environment. ABOUT THE ROLE MMT is looking for a Systems Engineer II to join our IT team and help keep the backend infrastructure running that powers a multi-site manufacturing environment. Reporting to the Infrastructure Manager, you'll own the day-to-day health of our on-premise and Azure-based systems, provide advanced technical support across the organization, and partner with a small, sharp IT team to keep things running smoothly as MMT continues to grow. WHAT YOU'LL DO Keep the lights on: deploy, configure, monitor, and maintain physical and virtual servers across a Hyper-V and VMware environment. Own the cloud side: manage Azure, Entra ID, and Microsoft 365 environments, including Intune, networking, storage, and backup. Support the team: provide Level 2-3 helpdesk support and work directly with the Cyber Administrator and Infrastructure Administrator. Contribute to real projects: support multi-site IT initiatives and provide input on infrastructure performance and reliability. Keep us secure: support security tooling including SIEM/EDR platforms, handle alert triage, and help with vulnerability scanning and backup/disaster recovery planning. WHAT YOU BRING Bachelor's degree in computer science preferred; an equivalent combination of education and relevant hands-on experience may be considered in lieu of a degree. Generally, 5+ years of experience in Hyper-V and Windows Server administration, along with Office 365 administration; equivalent, demonstrated experience may be considered in lieu of these specific requirements. Advanced Windows Server and Hyper-V administration, plus enterprise networking chops. Advanced PowerShell scripting skills. Hands-on experience with Azure, Entra ID, and Microsoft 365 administration. Comfort supporting security tooling, including SIEM/EDR platforms and alert triage. NICE TO HAVE SQL Server administration. ERP awareness. Experience working within SOX-compliant environments. VMware experience. Linux administration, RHEL or another enterprise distribution preferred. COMPENSATION & BENEFITS The base salary range for this remote position is $92,600 - $120,000 annually, based on experience, qualifications, and location and is eligible for MMT's Bonus Plan. This role is eligible for MMT's comprehensive benefits package, including 401(k) with employer match, paid time off, tuition reimbursement, professional development opportunities, and employer-paid Short-Term Disability, Long-Term Disability, Life, and AD&D insurance. Eligible employees may also participate in MMT's dependent scholarship program for children, grandchildren, or a child in their legal guardianship. WHY YOU'LL WANT TO WORK HERE This is a chance to own meaningful infrastructure work for a company that's building the technology behind life-changing medical devices, without needing to relocate. You'll get real ownership over projects, a tight-knit team that has your back, real room to grow through professional development opportunities, and a benefits package built for the long haul, including a 401(k) match, tuition reimbursement, and a scholarship program for your kids, grandkids, or the child in your life you're raising. If you like solving problems, want your work to matter, and are ready for a role where you're trusted to run things, we'd love to hear from you. Reasonable accommodation will be made to enable qualified individuals with disabilities to perform the essential functions of this role. If you require accommodation during the application or interview process, please contact Human Resources. MMT is an Equal Opportunity Employer. We are committed to creating an inclusive workplace and consider all qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, marital status, medical condition, ancestry, citizenship, military or veteran status, or any other characteristic protected by applicable federal, state, or local law. MMT participates in E-Verify. E-Verify is used only after a candidate accepts an offer of employment, and in accordance with federal law, upon hire all employees will be required to provide documentation establishing their identity and authorization to work in the United States. Requirements: PIbac26b51f5-
08/04/2026
Full time
Job Description Job Description Description: Systems Engineer II Information Technology Remote (U.S.) Full-Time Salary $92,600 - $120,000 annually, plus Bonus Plan eligibility ABOUT MMT At Medical Manufacturing Technologies (MMT), streamlined manufacturing opens doors to innovation without limitation, and, ultimately, enhances lives. As a vertically integrated, global provider of automated, process-driven medical device manufacturing solutions, we bring together applications expertise, technical solutions, and comprehensive aftermarket support for our customers. Our mission is to enable the continuous advancement of medical technology and other critical markets, and we want every employee to come to work each day ready to do the best work of their career in a safe, diverse, and collaborative environment. ABOUT THE ROLE MMT is looking for a Systems Engineer II to join our IT team and help keep the backend infrastructure running that powers a multi-site manufacturing environment. Reporting to the Infrastructure Manager, you'll own the day-to-day health of our on-premise and Azure-based systems, provide advanced technical support across the organization, and partner with a small, sharp IT team to keep things running smoothly as MMT continues to grow. WHAT YOU'LL DO Keep the lights on: deploy, configure, monitor, and maintain physical and virtual servers across a Hyper-V and VMware environment. Own the cloud side: manage Azure, Entra ID, and Microsoft 365 environments, including Intune, networking, storage, and backup. Support the team: provide Level 2-3 helpdesk support and work directly with the Cyber Administrator and Infrastructure Administrator. Contribute to real projects: support multi-site IT initiatives and provide input on infrastructure performance and reliability. Keep us secure: support security tooling including SIEM/EDR platforms, handle alert triage, and help with vulnerability scanning and backup/disaster recovery planning. WHAT YOU BRING Bachelor's degree in computer science preferred; an equivalent combination of education and relevant hands-on experience may be considered in lieu of a degree. Generally, 5+ years of experience in Hyper-V and Windows Server administration, along with Office 365 administration; equivalent, demonstrated experience may be considered in lieu of these specific requirements. Advanced Windows Server and Hyper-V administration, plus enterprise networking chops. Advanced PowerShell scripting skills. Hands-on experience with Azure, Entra ID, and Microsoft 365 administration. Comfort supporting security tooling, including SIEM/EDR platforms and alert triage. NICE TO HAVE SQL Server administration. ERP awareness. Experience working within SOX-compliant environments. VMware experience. Linux administration, RHEL or another enterprise distribution preferred. COMPENSATION & BENEFITS The base salary range for this remote position is $92,600 - $120,000 annually, based on experience, qualifications, and location and is eligible for MMT's Bonus Plan. This role is eligible for MMT's comprehensive benefits package, including 401(k) with employer match, paid time off, tuition reimbursement, professional development opportunities, and employer-paid Short-Term Disability, Long-Term Disability, Life, and AD&D insurance. Eligible employees may also participate in MMT's dependent scholarship program for children, grandchildren, or a child in their legal guardianship. WHY YOU'LL WANT TO WORK HERE This is a chance to own meaningful infrastructure work for a company that's building the technology behind life-changing medical devices, without needing to relocate. You'll get real ownership over projects, a tight-knit team that has your back, real room to grow through professional development opportunities, and a benefits package built for the long haul, including a 401(k) match, tuition reimbursement, and a scholarship program for your kids, grandkids, or the child in your life you're raising. If you like solving problems, want your work to matter, and are ready for a role where you're trusted to run things, we'd love to hear from you. Reasonable accommodation will be made to enable qualified individuals with disabilities to perform the essential functions of this role. If you require accommodation during the application or interview process, please contact Human Resources. MMT is an Equal Opportunity Employer. We are committed to creating an inclusive workplace and consider all qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, marital status, medical condition, ancestry, citizenship, military or veteran status, or any other characteristic protected by applicable federal, state, or local law. MMT participates in E-Verify. E-Verify is used only after a candidate accepts an offer of employment, and in accordance with federal law, upon hire all employees will be required to provide documentation establishing their identity and authorization to work in the United States. Requirements: PIbac26b51f5-
SEDSS- Senior Systems Engineer
SimVentions, Inc - Glassdoor 4.6 Lexington Park, Maryland
Overview: SimVentions is 100% employee-owned and proudly ranked among Virginia's Best Places to Work year after year! We are looking for an enterprising mid-level to senior software-focused Systems Engineer to perform software systems engineering for the acquisition, development and sustainment of various aviation programs. This position requires full-time on-site presence at the NAVAIR base in PAX River, MD. This position is future funded and not expected to begin before September 1, 2026 Clearance: An ACTIVE Secret Clearance is required for this position. Candidates may be required to obtain a Top Secret clearance after beginning this work. Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance. Requirements: At least ten years experience performing software and systems engineering activities Experience with military aircraft avionic systems and/or software Responsibilities: Develop and maintain software requirements Review and evaluate vendor software specifications Coordinate with vendors on software and system integration Conduct analysis of software defects Coordinate with cybersecurity subject Matter experts Participate in System Engineering Technical Reviews (including SRRs, SSRs, PDRs, CDRs, TRRs, etc.) Support the Engineering Change Proposal (ECP) process Participate in Agile and SAFe team processes Prepare and review Statements of Work (SOWs) and Contract Deliverable Requirements Lists (CDRLs) Develop Independent Government Cost Estimates (IGCEs) Support technical evaluations of Contractor proposals Preferred Skills and Experience: Experience with DOD-STD-2167A/MIL-STD-498/IEEE 12207 Experience with Systems Software, Systems-of-Systems engineering, MBSE, or systems safety & reliability Experience with Agile software development processes Education: BS in a technical discipline from an ABET accredited program Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements. The projected annual compensation range for this position is $120,000 -$176,000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers. Benefits: At SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs. We offer: Medical, dental, vision, and prescription drug coverage Employee Stock Ownership Plan (ESOP) Competitive 401(k) programs Retirement and Financial Counselors Health Savings and Health Reimbursement Accounts Flexible Spending Accounts Life insurance, short- & long-term disability Continuing Education Assistance Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military) Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling Supplemental Benefit Program Why Work for SimVentions?: SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It's also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together. Support Our Warfighters SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world. Drive Customer Success We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact. Get Involved in Giving Back We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year. Build Innovative Technology SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer's success. Work with Brilliant People We don't just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture. Create Meaningful Solutions We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve. Employees who join SimVentions will enjoy additional perks like: Employee Ownership: Work with the best and help build YOUR company! Family focus: Work for a team that recognizes the importance of family time. Culture: Add to our culture of technical excellence and collaboration. Dress code: Business casual, we like to be comfortable while we work. Resources: Excellent facilities, tools, and training opportunities to grow in your field. Open communication: Work in an environment where your voice matters. Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development. Employee Appreciation: Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more. Founding Partner of the FredNats Baseball team: Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite. Food: We have a lot of food around here! FTAC
08/04/2026
Full time
Overview: SimVentions is 100% employee-owned and proudly ranked among Virginia's Best Places to Work year after year! We are looking for an enterprising mid-level to senior software-focused Systems Engineer to perform software systems engineering for the acquisition, development and sustainment of various aviation programs. This position requires full-time on-site presence at the NAVAIR base in PAX River, MD. This position is future funded and not expected to begin before September 1, 2026 Clearance: An ACTIVE Secret Clearance is required for this position. Candidates may be required to obtain a Top Secret clearance after beginning this work. Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance. Requirements: At least ten years experience performing software and systems engineering activities Experience with military aircraft avionic systems and/or software Responsibilities: Develop and maintain software requirements Review and evaluate vendor software specifications Coordinate with vendors on software and system integration Conduct analysis of software defects Coordinate with cybersecurity subject Matter experts Participate in System Engineering Technical Reviews (including SRRs, SSRs, PDRs, CDRs, TRRs, etc.) Support the Engineering Change Proposal (ECP) process Participate in Agile and SAFe team processes Prepare and review Statements of Work (SOWs) and Contract Deliverable Requirements Lists (CDRLs) Develop Independent Government Cost Estimates (IGCEs) Support technical evaluations of Contractor proposals Preferred Skills and Experience: Experience with DOD-STD-2167A/MIL-STD-498/IEEE 12207 Experience with Systems Software, Systems-of-Systems engineering, MBSE, or systems safety & reliability Experience with Agile software development processes Education: BS in a technical discipline from an ABET accredited program Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements. The projected annual compensation range for this position is $120,000 -$176,000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers. Benefits: At SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs. We offer: Medical, dental, vision, and prescription drug coverage Employee Stock Ownership Plan (ESOP) Competitive 401(k) programs Retirement and Financial Counselors Health Savings and Health Reimbursement Accounts Flexible Spending Accounts Life insurance, short- & long-term disability Continuing Education Assistance Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military) Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling Supplemental Benefit Program Why Work for SimVentions?: SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It's also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together. Support Our Warfighters SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world. Drive Customer Success We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact. Get Involved in Giving Back We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year. Build Innovative Technology SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer's success. Work with Brilliant People We don't just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture. Create Meaningful Solutions We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve. Employees who join SimVentions will enjoy additional perks like: Employee Ownership: Work with the best and help build YOUR company! Family focus: Work for a team that recognizes the importance of family time. Culture: Add to our culture of technical excellence and collaboration. Dress code: Business casual, we like to be comfortable while we work. Resources: Excellent facilities, tools, and training opportunities to grow in your field. Open communication: Work in an environment where your voice matters. Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development. Employee Appreciation: Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more. Founding Partner of the FredNats Baseball team: Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite. Food: We have a lot of food around here! FTAC
SEDSS- Junior Systems Engineer
SimVentions, Inc - Glassdoor 4.6 Lexington Park, Maryland
Overview: SimVentions is 100% employee-owned and proudly ranked among Virginia's Best Places to Work year after year! We are looking for an enterprising junior to mid-level software-focused Systems Engineer to perform software systems engineering for the acquisition, development and sustainment of various aviation programs. This position requires full-time on-site presence at the NAVAIR base in PAX River, MD. This position is future funded and not expected to begin before September 1, 2026 Clearance: An ACTIVE Secret Clearance is required for this position. Candidates may be required to obtain a Top Secret clearance after beginning this work. Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance. Requirements: At least two years experience performing software or systems engineering activities Knowledge of avionics systems Responsibilities: Develop and maintain software requirements Review and evaluate vendor software specifications Coordinate with vendors on software and system integration Conduct analysis of software defects Coordinate with cybersecurity subject Matter experts Participate in System Engineering Technical Reviews (including SRRs, SSRs, PDRs, CDRs, TRRs, etc.) Support the Engineering Change Proposal (ECP) process Participate in Agile and SAFe team processes Prepare and review Statements of Work (SOWs) and Contract Deliverable Requirements Lists (CDRLs) Develop Independent Government Cost Estimates (IGCEs) Support technical evaluations of Contractor proposals Preferred Skills and Experience: Experience with DOD-STD-2167A/MIL-STD-498/IEEE 12207 Experience with Systems Software, Systems-of-Systems engineering, MBSE, or systems safety & reliability Experience with military aircraft avionic systems and software Experience with Agile software development processes Education: BS in a technical discipline from an ABET accredited program Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements. The projected annual compensation range for this position is $70,000 - $122,000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers. Benefits: At SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs. We offer: Medical, dental, vision, and prescription drug coverage Employee Stock Ownership Plan (ESOP) Competitive 401(k) programs Retirement and Financial Counselors Health Savings and Health Reimbursement Accounts Flexible Spending Accounts Life insurance, short- & long-term disability Continuing Education Assistance Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military) Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling Supplemental Benefit Program Why Work for SimVentions?: SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It's also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together. Support Our Warfighters SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world. Drive Customer Success We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact. Get Involved in Giving Back We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year. Build Innovative Technology SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer's success. Work with Brilliant People We don't just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture. Create Meaningful Solutions We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve. Employees who join SimVentions will enjoy additional perks like: Employee Ownership: Work with the best and help build YOUR company! Family focus: Work for a team that recognizes the importance of family time. Culture: Add to our culture of technical excellence and collaboration. Dress code: Business casual, we like to be comfortable while we work. Resources: Excellent facilities, tools, and training opportunities to grow in your field. Open communication: Work in an environment where your voice matters. Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development. Employee Appreciation: Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more. Founding Partner of the FredNats Baseball team: Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite. Food: We have a lot of food around here! FTAC
08/04/2026
Full time
Overview: SimVentions is 100% employee-owned and proudly ranked among Virginia's Best Places to Work year after year! We are looking for an enterprising junior to mid-level software-focused Systems Engineer to perform software systems engineering for the acquisition, development and sustainment of various aviation programs. This position requires full-time on-site presence at the NAVAIR base in PAX River, MD. This position is future funded and not expected to begin before September 1, 2026 Clearance: An ACTIVE Secret Clearance is required for this position. Candidates may be required to obtain a Top Secret clearance after beginning this work. Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance. Requirements: At least two years experience performing software or systems engineering activities Knowledge of avionics systems Responsibilities: Develop and maintain software requirements Review and evaluate vendor software specifications Coordinate with vendors on software and system integration Conduct analysis of software defects Coordinate with cybersecurity subject Matter experts Participate in System Engineering Technical Reviews (including SRRs, SSRs, PDRs, CDRs, TRRs, etc.) Support the Engineering Change Proposal (ECP) process Participate in Agile and SAFe team processes Prepare and review Statements of Work (SOWs) and Contract Deliverable Requirements Lists (CDRLs) Develop Independent Government Cost Estimates (IGCEs) Support technical evaluations of Contractor proposals Preferred Skills and Experience: Experience with DOD-STD-2167A/MIL-STD-498/IEEE 12207 Experience with Systems Software, Systems-of-Systems engineering, MBSE, or systems safety & reliability Experience with military aircraft avionic systems and software Experience with Agile software development processes Education: BS in a technical discipline from an ABET accredited program Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements. The projected annual compensation range for this position is $70,000 - $122,000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers. Benefits: At SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs. We offer: Medical, dental, vision, and prescription drug coverage Employee Stock Ownership Plan (ESOP) Competitive 401(k) programs Retirement and Financial Counselors Health Savings and Health Reimbursement Accounts Flexible Spending Accounts Life insurance, short- & long-term disability Continuing Education Assistance Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military) Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling Supplemental Benefit Program Why Work for SimVentions?: SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It's also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together. Support Our Warfighters SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world. Drive Customer Success We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact. Get Involved in Giving Back We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year. Build Innovative Technology SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer's success. Work with Brilliant People We don't just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture. Create Meaningful Solutions We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve. Employees who join SimVentions will enjoy additional perks like: Employee Ownership: Work with the best and help build YOUR company! Family focus: Work for a team that recognizes the importance of family time. Culture: Add to our culture of technical excellence and collaboration. Dress code: Business casual, we like to be comfortable while we work. Resources: Excellent facilities, tools, and training opportunities to grow in your field. Open communication: Work in an environment where your voice matters. Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development. Employee Appreciation: Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more. Founding Partner of the FredNats Baseball team: Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite. Food: We have a lot of food around here! FTAC
KPMG
Senior Specialist, Federal Cloud Engineer
KPMG Washington, Washington DC
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice. Responsibilities: Rapidly architect, design, prototype, implement, and optimize cloud architectures Develop cloud platforms / applications utilizing infrastructure as code methodologies to solve real world problems ensuring quality and compliance following best industry practices Work in cross-disciplinary teams with KPMG industry professionals to understand client needs and be part of teams developing holistic operational solutions & applications contributing to cloud infrastructure / DevOps capabilities Research, experiment, and utilize leading cloud methodologies / new tools for increased productivity, security, reliability, and performance Progress tools / services useful in cloud DevOps environments such as performance monitoring, security monitoring, deployment / configuration, continuous integration / build servers, and cloud resource creation scripts Contribute to business requirements capture / translation, hypothesis-driven consulting, workstream / project management, and client relationship development Qualifications: A minimum of three years of technical Cloud Engineering experience; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university Experience in designing cloud architectures and implementing production infrastructures / applications in one or more of the following cloud environments / technologies: Azure, AWS, GCP using infrastructure as code approach Experience with cloud native container technologies such as: Kubernetes, OpenShift, or Docker (experience with Terraform, Ansible, Chef and Puppet is preferred) Experience developing data analytics platforms / applications on cloud is preferred Proficiency in Unix/Linux environments and ability to develop in terminal environments; experience with source code management systems like GIT / SVN Ability to travel as required to support firm engagements Applicant must possess or be eligible for a U.S. Government clearance KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
08/04/2026
Full time
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice. Responsibilities: Rapidly architect, design, prototype, implement, and optimize cloud architectures Develop cloud platforms / applications utilizing infrastructure as code methodologies to solve real world problems ensuring quality and compliance following best industry practices Work in cross-disciplinary teams with KPMG industry professionals to understand client needs and be part of teams developing holistic operational solutions & applications contributing to cloud infrastructure / DevOps capabilities Research, experiment, and utilize leading cloud methodologies / new tools for increased productivity, security, reliability, and performance Progress tools / services useful in cloud DevOps environments such as performance monitoring, security monitoring, deployment / configuration, continuous integration / build servers, and cloud resource creation scripts Contribute to business requirements capture / translation, hypothesis-driven consulting, workstream / project management, and client relationship development Qualifications: A minimum of three years of technical Cloud Engineering experience; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university Experience in designing cloud architectures and implementing production infrastructures / applications in one or more of the following cloud environments / technologies: Azure, AWS, GCP using infrastructure as code approach Experience with cloud native container technologies such as: Kubernetes, OpenShift, or Docker (experience with Terraform, Ansible, Chef and Puppet is preferred) Experience developing data analytics platforms / applications on cloud is preferred Proficiency in Unix/Linux environments and ability to develop in terminal environments; experience with source code management systems like GIT / SVN Ability to travel as required to support firm engagements Applicant must possess or be eligible for a U.S. Government clearance KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Hardware Engineer (PCB, Circuit Design, Industrialization, Wireless, ECAD) Relocation Assistance/Sign On Bonus
GE Vernova
Job Description Summary Sign On Bonus Relocation Assistance Job Description Summary As a Hardware Engineer for Critical Infrastructure Communications (CIC) at GE Grid Solutions, you will be responsible for designing industry-leading solutions for industrial grade wired and wireless communications products. CIC is seeking an experienced Electrical Engineer who is team-oriented and can thrive in the critical path of multiple projects. A successful candidate will have practical circuit-level design and troubleshooting experience in a laboratory environment. The ideal candidate should have working knowledge at the product level, as the candidate will be responsible for various aspects of the design throughout the product lifecycle including production. The successful candidate must also be capable of working collaboratively with peers in an international engineering organization to ensure design goals are met and critical trade-offs are identified. This role requires strong written and verbal communication skills to accurately convey complex solutions to audiences of varying technical expertise on a cross-functional team spanning multiple sites. About us: Grid Solutions, a GE Vernova business, serves customers globally with over 12,000 employees. We are focused on bringing together technologies and expertise to help solve the toughest power system challenges, accelerating the global transition to a more resilient and reliable grid. For more about GE's Grid Solutions, visit Job Description Roles and Responsibilities: Complete schematic and PCB layouts containing digital, analog, and RF circuitry. Create new components and maintain ECAD component database. Contribute to the hardware development of industrial-grade communications equipment by applying principles and techniques of electrical engineering, circuit design, and analysis. Complete the analysis and design of digital and mixed-signal communications circuitry including MCU, CPU, flash, Ethernet, and USB considering EMC, thermal, mechanical, and electrical safety constraints. Create production documentation including top level bills of material and label specifications. Work onsite with a team of Electrical and Embedded Firmware Engineers in an office/lab environment. Perform and document the results of circuit level validation testing. Ensure compliance to product safety, emissions, and performance standards supporting 3rd party certification labs as needed. Support and troubleshoot existing product design deficiencies reported by customers and manufacturing. Perform MTBF and reliability data for the individual product subsystems. Provide support and specifications to Manufacturing and Test Engineering teams. Required Qualifications: Bachelor's degree in Engineering 3 years of prior hardware design experience 3 years of experience with circuit design and ECAD 2-3 years of experience with wireless or embedded development Desired Characteristics: Experience with Altium Designer Familiarity with emissions standards including FCC, IC, ETSI, Anatel, or ACMA Experience with communication interfaces and protocols (ex. Ethernet, USB, I2C, SPI, etc). Familiarity with safety standards including EN62368-1 and EN6095-1 Proven knowledge of EMC and environmental standards required for CE Mark certification of telecommunication products Ability to multi-task, prioritize tasks, and quickly adapt in a fast-paced engineering environment Ability to solder/desolder surface mount and through hole components using a soldering station and heat gun Experience using signal generators, network analyzers, and spectrum analyzers Ability to work collaboratively with an international development team Familiarity with MCU, SoC, and modem Integration for 4G LTE, 5G, and WiFi technologies Demonstrated ability to work autonomously and collaborate with a team to resolve technical issues Demonstrated ability to produce Hardware Design Specifications and other relevant design documentation Strong interpersonal and leadership skills GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $80,000.00 and $120,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on July 29, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
08/04/2026
Full time
Job Description Summary Sign On Bonus Relocation Assistance Job Description Summary As a Hardware Engineer for Critical Infrastructure Communications (CIC) at GE Grid Solutions, you will be responsible for designing industry-leading solutions for industrial grade wired and wireless communications products. CIC is seeking an experienced Electrical Engineer who is team-oriented and can thrive in the critical path of multiple projects. A successful candidate will have practical circuit-level design and troubleshooting experience in a laboratory environment. The ideal candidate should have working knowledge at the product level, as the candidate will be responsible for various aspects of the design throughout the product lifecycle including production. The successful candidate must also be capable of working collaboratively with peers in an international engineering organization to ensure design goals are met and critical trade-offs are identified. This role requires strong written and verbal communication skills to accurately convey complex solutions to audiences of varying technical expertise on a cross-functional team spanning multiple sites. About us: Grid Solutions, a GE Vernova business, serves customers globally with over 12,000 employees. We are focused on bringing together technologies and expertise to help solve the toughest power system challenges, accelerating the global transition to a more resilient and reliable grid. For more about GE's Grid Solutions, visit Job Description Roles and Responsibilities: Complete schematic and PCB layouts containing digital, analog, and RF circuitry. Create new components and maintain ECAD component database. Contribute to the hardware development of industrial-grade communications equipment by applying principles and techniques of electrical engineering, circuit design, and analysis. Complete the analysis and design of digital and mixed-signal communications circuitry including MCU, CPU, flash, Ethernet, and USB considering EMC, thermal, mechanical, and electrical safety constraints. Create production documentation including top level bills of material and label specifications. Work onsite with a team of Electrical and Embedded Firmware Engineers in an office/lab environment. Perform and document the results of circuit level validation testing. Ensure compliance to product safety, emissions, and performance standards supporting 3rd party certification labs as needed. Support and troubleshoot existing product design deficiencies reported by customers and manufacturing. Perform MTBF and reliability data for the individual product subsystems. Provide support and specifications to Manufacturing and Test Engineering teams. Required Qualifications: Bachelor's degree in Engineering 3 years of prior hardware design experience 3 years of experience with circuit design and ECAD 2-3 years of experience with wireless or embedded development Desired Characteristics: Experience with Altium Designer Familiarity with emissions standards including FCC, IC, ETSI, Anatel, or ACMA Experience with communication interfaces and protocols (ex. Ethernet, USB, I2C, SPI, etc). Familiarity with safety standards including EN62368-1 and EN6095-1 Proven knowledge of EMC and environmental standards required for CE Mark certification of telecommunication products Ability to multi-task, prioritize tasks, and quickly adapt in a fast-paced engineering environment Ability to solder/desolder surface mount and through hole components using a soldering station and heat gun Experience using signal generators, network analyzers, and spectrum analyzers Ability to work collaboratively with an international development team Familiarity with MCU, SoC, and modem Integration for 4G LTE, 5G, and WiFi technologies Demonstrated ability to work autonomously and collaborate with a team to resolve technical issues Demonstrated ability to produce Hardware Design Specifications and other relevant design documentation Strong interpersonal and leadership skills GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $80,000.00 and $120,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on July 29, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
AI Platform Engineer
MassMutual New York, New York
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer
MassMutual Boston, Massachusetts
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer
MassMutual Springfield, Massachusetts
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
Data Engineer
McKesson Columbus, Ohio
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. CoverMyMeds' is seeking a Specialist, Data Engineering to join our Data Engineering team. Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality, repeatable and scalable data solutions. Together with our various business units, the work our Data Engineering team does ultimately helps get more people the medicine they need to live healthier lives. We are looking for a hands-on Data Engineer who can quickly contribute to the design, development, and support of scalable data pipelines and data solutions. This role focuses on building and maintaining reliable data integrations, transforming complex data into trusted business assets, and supporting analytics and reporting initiatives across the organization. The ideal candidate brings strong Databricks expertise, experience working with large-scale datasets, and the ability to partner effectively with business and technical stakeholders. This individual will help deliver high-quality data solutions while contributing to a collaborative team environment and supporting the growth of junior team members. What You'll Do Data Engineering & Pipeline Development Design, build, and maintain scalable data pipelines that support reporting, analytics, and operational business needs. Develop data ingestion and integration processes from a variety of structured and unstructured data sources. Create and optimize data transformations using SQL, Databricks, and Azure-based technologies. Support both batch and real-time data processing solutions. Implement data quality, validation, and monitoring processes to ensure trusted and reliable data assets. Troubleshoot and resolve data pipeline performance, reliability, and data quality issues. Data Modeling & Business Support Develop conceptual and logical data models based on business reporting requirements. Partner with business stakeholders, analysts, and technology teams to understand data needs and translate them into scalable solutions. Work with application development teams to understand source systems and build efficient data flows into enterprise data environments. Support data governance initiatives through standardization, documentation, and quality controls. Team Collaboration Partner closely with Data Systems Analysts, Analytics teams, and Technology partners to solve business problems with data. Communicate technical concepts clearly to both technical and non-technical audiences. Leverage modern engineering practices and AI-assisted development tools to improve solution delivery and efficiency. Share knowledge and provide guidance to less experienced team members. Minimum Qualifications Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience. 4+ years of experience in a dedicated Data Engineering role. 4+ years of hands-on experience building and supporting data pipelines and data integration solutions. Strong experience with Databricks in a production environment. Strong SQL development skills. Experience working with Azure-based data services. Experience supporting reporting, analytics, systems integration, and data governance initiatives. Demonstrated expertise in conceptual and logical data modeling. Experience working with both structured and unstructured data. Strong written and verbal communication skills. Preferred Qualifications Experience with data streaming and event-driven architectures such as Kafka. Experience with Infrastructure as Code tools such as Terraform. Experience supporting large-scale cloud migration or modernization programs. Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar technologies. Experience supporting business-critical applications and highly available data platforms. Experience mentoring junior engineers or providing technical guidance within a collaborative team environment. 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 $106,500 - $177,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
08/04/2026
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. CoverMyMeds' is seeking a Specialist, Data Engineering to join our Data Engineering team. Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality, repeatable and scalable data solutions. Together with our various business units, the work our Data Engineering team does ultimately helps get more people the medicine they need to live healthier lives. We are looking for a hands-on Data Engineer who can quickly contribute to the design, development, and support of scalable data pipelines and data solutions. This role focuses on building and maintaining reliable data integrations, transforming complex data into trusted business assets, and supporting analytics and reporting initiatives across the organization. The ideal candidate brings strong Databricks expertise, experience working with large-scale datasets, and the ability to partner effectively with business and technical stakeholders. This individual will help deliver high-quality data solutions while contributing to a collaborative team environment and supporting the growth of junior team members. What You'll Do Data Engineering & Pipeline Development Design, build, and maintain scalable data pipelines that support reporting, analytics, and operational business needs. Develop data ingestion and integration processes from a variety of structured and unstructured data sources. Create and optimize data transformations using SQL, Databricks, and Azure-based technologies. Support both batch and real-time data processing solutions. Implement data quality, validation, and monitoring processes to ensure trusted and reliable data assets. Troubleshoot and resolve data pipeline performance, reliability, and data quality issues. Data Modeling & Business Support Develop conceptual and logical data models based on business reporting requirements. Partner with business stakeholders, analysts, and technology teams to understand data needs and translate them into scalable solutions. Work with application development teams to understand source systems and build efficient data flows into enterprise data environments. Support data governance initiatives through standardization, documentation, and quality controls. Team Collaboration Partner closely with Data Systems Analysts, Analytics teams, and Technology partners to solve business problems with data. Communicate technical concepts clearly to both technical and non-technical audiences. Leverage modern engineering practices and AI-assisted development tools to improve solution delivery and efficiency. Share knowledge and provide guidance to less experienced team members. Minimum Qualifications Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience. 4+ years of experience in a dedicated Data Engineering role. 4+ years of hands-on experience building and supporting data pipelines and data integration solutions. Strong experience with Databricks in a production environment. Strong SQL development skills. Experience working with Azure-based data services. Experience supporting reporting, analytics, systems integration, and data governance initiatives. Demonstrated expertise in conceptual and logical data modeling. Experience working with both structured and unstructured data. Strong written and verbal communication skills. Preferred Qualifications Experience with data streaming and event-driven architectures such as Kafka. Experience with Infrastructure as Code tools such as Terraform. Experience supporting large-scale cloud migration or modernization programs. Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar technologies. Experience supporting business-critical applications and highly available data platforms. Experience mentoring junior engineers or providing technical guidance within a collaborative team environment. 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 $106,500 - $177,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
Desktop Support Engineer
Ovation Workplace Services Peoria, Illinois
POSITION DESCRIPTION Desktop Support Technician Department: Information Technology FLSA Classification: Non-Exempt Employment Type: Full-Time POSITION SUMMARY The Desktop Support Technician delivers first- and second-level technical support across local and remote environments. Responsibilities include hardware and software troubleshooting, incident documentation in the IT ticketing system, and resolution of issues involving operating systems, enterprise applications, and peripheral equipment. This role requires proactive communication with end users and timely escalation to maintain SLAs and operational consistency across all shifts. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES Primary duties are listed below. This list is illustrative, not exhaustive; additional duties may be assigned as business needs require. • Deliver first- and second-level technical support to end users for hardware, software, and application issues via phone, remote access tools, and on-site assistance. • Log, track, and maintain accurate documentation for all reported incidents and service requests within the designated IT ticketing system. • Install, configure, upgrade, and troubleshoot supported Windows operating systems (currently Windows 10 and Windows 11) and the Microsoft Office 365 suite. • Provide foundational support for macOS environments to assist users of Apple devices. • Install, configure, and support enterprise applications, including Cisco Jabber and other organization-approved software. • Install, configure, and troubleshoot printers, desktop computers, laptops, and other authorized peripheral devices. • Perform routine preventive maintenance on computers, laptops, and printers to ensure continued operational reliability. • Conduct remedial repairs on desktops, laptops, printers, and related peripheral equipment. • Utilize diagnostic tools to troubleshoot issues related to network connectivity and workstation hardware and software. • Coordinate with third-party vendors to remediate complex audio/visual (AV) issues as required. • Provide timely and professional status updates to end users and stakeholders regarding open incidents and resolutions. • Support mobile device management (MDM) for iOS and Android devices within the enterprise environment. • Demonstrate working knowledge of networks, servers, audio/visual systems, smart devices, and telecommunications in support of a broad range of IT needs. • Perform other duties as assigned by management in support of departmental and organizational objectives. MINIMUM QUALIFICATIONS Education • Bachelor's or master's degree in information technology, Computer Science, or a related field; OR an equivalent combination of education, training, and relevant work experience. Experience • Minimum of eighteen (18) months of hands-on experience in a desktop support, help desk, or IT support capacity. • Demonstrated experience supporting Windows-based environments, including Windows 10 and/or Windows 11. Certifications (Preferred) • CompTIA A+ certification or equivalent vendor-neutral credential. • Microsoft Certified Professional (MCP), Microsoft 365 Fundamentals, or higher-level Microsoft certification. REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES • Proficiency in Windows operating systems, Microsoft Active Directory, Group Policy Objects (GPOs), and Microsoft Office 365. • Experience with PC and laptop hardware installation, configuration, and troubleshooting. • Familiarity with enterprise antivirus and endpoint protection solutions. • Experience with helpdesk ticketing systems and IT service management practices. • Knowledge of mobile device management (MDM) platforms supporting iOS and Android devices. • Familiarity with enterprise encryption solutions and Windows device management via Active Directory. • Strong analytical, problem-solving, and technical troubleshooting abilities. • Ability to effectively manage multiple priorities, work independently, and consistently meet established SLAs. • Excellent verbal and written communication skills with the ability to convey technical information clearly to non-technical audiences. • Demonstrated commitment to delivering high-quality customer service to internal stakeholders. • Ability to adapt to a rapidly evolving technology environment and shifting organizational priorities. • Willingness to work outside standard business hours, including evenings and weekends, for scheduled project support or emergency response as required. PHYSICAL REQUIREMENTS AND WORK ENVIRONMENT The demands below are representative of those required to perform this role's essential functions. Reasonable accommodations will be made for qualified individuals with disabilities in accordance with the ADA and applicable state law. • Regularly required to sit, stand, walk, and use hands to operate a computer keyboard and standard office equipment. • Occasionally required to lift and/or move IT equipment weighing up to 50 pounds. • May require bending, kneeling, or crouching to install or service equipment. • Work is performed primarily in a standard office or data center environment with moderate noise levels. • May be required to travel to or work at multiple organizational sites or client locations. EQUAL EMPLOYMENT OPPORTUNITY We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy and related conditions), gender identity, sexual orientation, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable federal, state, or local law, including Title VII, the ADEA, the ADA, GINA, and USERRA. Applicants requiring a reasonable accommodation to participate in the application or interview process should contact Human Resources in advance. DISCLAIMER This description outlines the general nature and scope of the role and is not an exhaustive list of all duties or requirements. Management may modify responsibilities as business needs evolve.
08/04/2026
Full time
POSITION DESCRIPTION Desktop Support Technician Department: Information Technology FLSA Classification: Non-Exempt Employment Type: Full-Time POSITION SUMMARY The Desktop Support Technician delivers first- and second-level technical support across local and remote environments. Responsibilities include hardware and software troubleshooting, incident documentation in the IT ticketing system, and resolution of issues involving operating systems, enterprise applications, and peripheral equipment. This role requires proactive communication with end users and timely escalation to maintain SLAs and operational consistency across all shifts. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES Primary duties are listed below. This list is illustrative, not exhaustive; additional duties may be assigned as business needs require. • Deliver first- and second-level technical support to end users for hardware, software, and application issues via phone, remote access tools, and on-site assistance. • Log, track, and maintain accurate documentation for all reported incidents and service requests within the designated IT ticketing system. • Install, configure, upgrade, and troubleshoot supported Windows operating systems (currently Windows 10 and Windows 11) and the Microsoft Office 365 suite. • Provide foundational support for macOS environments to assist users of Apple devices. • Install, configure, and support enterprise applications, including Cisco Jabber and other organization-approved software. • Install, configure, and troubleshoot printers, desktop computers, laptops, and other authorized peripheral devices. • Perform routine preventive maintenance on computers, laptops, and printers to ensure continued operational reliability. • Conduct remedial repairs on desktops, laptops, printers, and related peripheral equipment. • Utilize diagnostic tools to troubleshoot issues related to network connectivity and workstation hardware and software. • Coordinate with third-party vendors to remediate complex audio/visual (AV) issues as required. • Provide timely and professional status updates to end users and stakeholders regarding open incidents and resolutions. • Support mobile device management (MDM) for iOS and Android devices within the enterprise environment. • Demonstrate working knowledge of networks, servers, audio/visual systems, smart devices, and telecommunications in support of a broad range of IT needs. • Perform other duties as assigned by management in support of departmental and organizational objectives. MINIMUM QUALIFICATIONS Education • Bachelor's or master's degree in information technology, Computer Science, or a related field; OR an equivalent combination of education, training, and relevant work experience. Experience • Minimum of eighteen (18) months of hands-on experience in a desktop support, help desk, or IT support capacity. • Demonstrated experience supporting Windows-based environments, including Windows 10 and/or Windows 11. Certifications (Preferred) • CompTIA A+ certification or equivalent vendor-neutral credential. • Microsoft Certified Professional (MCP), Microsoft 365 Fundamentals, or higher-level Microsoft certification. REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES • Proficiency in Windows operating systems, Microsoft Active Directory, Group Policy Objects (GPOs), and Microsoft Office 365. • Experience with PC and laptop hardware installation, configuration, and troubleshooting. • Familiarity with enterprise antivirus and endpoint protection solutions. • Experience with helpdesk ticketing systems and IT service management practices. • Knowledge of mobile device management (MDM) platforms supporting iOS and Android devices. • Familiarity with enterprise encryption solutions and Windows device management via Active Directory. • Strong analytical, problem-solving, and technical troubleshooting abilities. • Ability to effectively manage multiple priorities, work independently, and consistently meet established SLAs. • Excellent verbal and written communication skills with the ability to convey technical information clearly to non-technical audiences. • Demonstrated commitment to delivering high-quality customer service to internal stakeholders. • Ability to adapt to a rapidly evolving technology environment and shifting organizational priorities. • Willingness to work outside standard business hours, including evenings and weekends, for scheduled project support or emergency response as required. PHYSICAL REQUIREMENTS AND WORK ENVIRONMENT The demands below are representative of those required to perform this role's essential functions. Reasonable accommodations will be made for qualified individuals with disabilities in accordance with the ADA and applicable state law. • Regularly required to sit, stand, walk, and use hands to operate a computer keyboard and standard office equipment. • Occasionally required to lift and/or move IT equipment weighing up to 50 pounds. • May require bending, kneeling, or crouching to install or service equipment. • Work is performed primarily in a standard office or data center environment with moderate noise levels. • May be required to travel to or work at multiple organizational sites or client locations. EQUAL EMPLOYMENT OPPORTUNITY We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy and related conditions), gender identity, sexual orientation, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable federal, state, or local law, including Title VII, the ADEA, the ADA, GINA, and USERRA. Applicants requiring a reasonable accommodation to participate in the application or interview process should contact Human Resources in advance. DISCLAIMER This description outlines the general nature and scope of the role and is not an exhaustive list of all duties or requirements. Management may modify responsibilities as business needs evolve.
Site Reliability Engineer
A-Line Staffing Solutions Irvine, California
Title: Site Reliability Engineer - Product Support Analyst Location: Irvine, CA (Hybrid) Note: This is a W2 contract position - C2C, 1099, & 3rd party candidates WILL NOT be considered The Site Reliability Engineer - Product Support Analyst will design, deploy and configure various customer-facing infrastructures, application, and services. They are responsible for ensuring the reliability and high-quality performance of leading Front of House platforms, specifically the electronic Prep system (Prep E). This role directly impacts the business by empowering our software development teams to deploy Agile enhancements to this cutting edge platform via monitoring and alerting around system health and defect leakage, while enriching the documentation and troubleshooting processes used to support the platforms at the restaurant level. With this position, you'll have the opportunity to work with industry-leading tools such as DataDog, Amazon Lambda, Retool, and Grafana. The Product Support Analyst will report to the Sr. Infrastructure Engineer.
08/04/2026
Full time
Title: Site Reliability Engineer - Product Support Analyst Location: Irvine, CA (Hybrid) Note: This is a W2 contract position - C2C, 1099, & 3rd party candidates WILL NOT be considered The Site Reliability Engineer - Product Support Analyst will design, deploy and configure various customer-facing infrastructures, application, and services. They are responsible for ensuring the reliability and high-quality performance of leading Front of House platforms, specifically the electronic Prep system (Prep E). This role directly impacts the business by empowering our software development teams to deploy Agile enhancements to this cutting edge platform via monitoring and alerting around system health and defect leakage, while enriching the documentation and troubleshooting processes used to support the platforms at the restaurant level. With this position, you'll have the opportunity to work with industry-leading tools such as DataDog, Amazon Lambda, Retool, and Grafana. The Product Support Analyst will report to the Sr. Infrastructure Engineer.
Cribl Engineer Expert
EMC Reston, Virginia
Hi, Hope you are doing well. We have a full time opportunity with one of our major clients. They are looking for Cribl Engineer Expert role. Position: Cribl Engineer Expert Location:, Reston, VA, (5 Days Onsite) Duration: full time opportunity Required: TS/SCI clearance with the ability to obtain a counterintelligence (CI) polygraph. Job Description: Job Summary: We are seeking a highly experienced Cribl Engineer to serve as the principal technical authority for observability pipelines built on Cribl Stream and Cribl Edge. This role is designed for a senior technologist with deep expertise in log/telemetry routing, large-scale data engineering, and enterprise-grade observability architectures. You will shape pipeline strategy, design complex routing and transformation logic, drive platform reliability, mentor senior engineers, and serve as the top technical escalation point for Cribl-related challenges. Key Responsibilities: Lead architecture and design for Cribl Stream/Edge across multiple enclaves and data domains. Build high throughput pipelines (multiTB/day) with advanced routing, filtering, enrichment, and replay workflows. Optimize system performance, worker topology, CPU/memory distribution, queues, and transport mechanisms. Engineer secure data flows with masking, tokenization, RBAC, PKI/TLS, and other governance controls. Integrate pipelines with SIEM/analytics ecosystems (Splunk, Elastic, SaaS telemetry platforms, cloud services). Develop HA/DR patterns, reliability frameworks, fleet health metrics, and failure mode response processes. Maintain reusable Cribl packs, shared patterns, runbooks, and operational standards. Serve as the senior escalation point for Cribl issues; interface with vendor engineering as required. Mentor engineers, conduct design reviews, drive engineering excellence, and enforce architectural standards. Support cross functional teams (security, cloud, analytics, infrastructure) on logging and telemetry strategy. Required Qualifications: 10+ years of experience in logging, observability, or SIEM engineering. 5+ years architecting enterprise scale log/telemetry pipelines. 3+ years hands-on with Cribl Stream and Cribl Edge in production environments. Demonstrated success operating and scaling pipelines at 5-10+ TB/day. Expert-level experience with Splunk forwarding/ingestion, source type management, and indexing practices. Strong Linux fundamentals; scripting expertise (Python/Bash); Git; automation (Ansible/Terraform). Strong understanding of transport protocols (HTTP, TCP, TLS/MTLS), Kafka, S3/object storage. Experience designing secure data flows, including encryption, RBAC, secrets management, and compliance controls. Demonstrated ability to mentor senior engineers and lead technical decision making. Certified Cribl Certified Engineer (CCOE) or equivalent Cribl product expertise. Must possess the following DoD 8570.01-M certifications or be willing to obtain within 30 days of hire: Information Assurance Technician (IAT) Level II certification (currently Security+ CE, CCNA-Security, GSEC, SSCP, CySA+, GICSP, or CND). IAT Level III certification requirements (currently CASP+ CE, CCNP Security, CISA, CISSP (or Associate), GCED, or GCIH). Cyber Security Service Provider (CSSP) - Infrastructure Support (IS) certification requirements (currently CEH, CySA+, GICSP, SSCP, CHFI, CFR, Cloud+, or CND). Must possess a TS/SCI with Polygraph Preferred Qualifications: Expertise creating and maintaining Cribl Packs and reusable pipelines. Experience with cloud telemetry (AWS, Azure, hybrid) and cross-domain data movement patterns. Familiarity with NIST / CIS control frameworks and secure engineering practices. Experience building observability frameworks for large distributed systems. Vendor engagement experience (Cribl PS, product teams, troubleshooting escalations). Benefits: Competitive salary and performance-based bonuses. Comprehensive health, dental, and vision insurance. Opportunities for professional development and continuous learning.
08/04/2026
Full time
Hi, Hope you are doing well. We have a full time opportunity with one of our major clients. They are looking for Cribl Engineer Expert role. Position: Cribl Engineer Expert Location:, Reston, VA, (5 Days Onsite) Duration: full time opportunity Required: TS/SCI clearance with the ability to obtain a counterintelligence (CI) polygraph. Job Description: Job Summary: We are seeking a highly experienced Cribl Engineer to serve as the principal technical authority for observability pipelines built on Cribl Stream and Cribl Edge. This role is designed for a senior technologist with deep expertise in log/telemetry routing, large-scale data engineering, and enterprise-grade observability architectures. You will shape pipeline strategy, design complex routing and transformation logic, drive platform reliability, mentor senior engineers, and serve as the top technical escalation point for Cribl-related challenges. Key Responsibilities: Lead architecture and design for Cribl Stream/Edge across multiple enclaves and data domains. Build high throughput pipelines (multiTB/day) with advanced routing, filtering, enrichment, and replay workflows. Optimize system performance, worker topology, CPU/memory distribution, queues, and transport mechanisms. Engineer secure data flows with masking, tokenization, RBAC, PKI/TLS, and other governance controls. Integrate pipelines with SIEM/analytics ecosystems (Splunk, Elastic, SaaS telemetry platforms, cloud services). Develop HA/DR patterns, reliability frameworks, fleet health metrics, and failure mode response processes. Maintain reusable Cribl packs, shared patterns, runbooks, and operational standards. Serve as the senior escalation point for Cribl issues; interface with vendor engineering as required. Mentor engineers, conduct design reviews, drive engineering excellence, and enforce architectural standards. Support cross functional teams (security, cloud, analytics, infrastructure) on logging and telemetry strategy. Required Qualifications: 10+ years of experience in logging, observability, or SIEM engineering. 5+ years architecting enterprise scale log/telemetry pipelines. 3+ years hands-on with Cribl Stream and Cribl Edge in production environments. Demonstrated success operating and scaling pipelines at 5-10+ TB/day. Expert-level experience with Splunk forwarding/ingestion, source type management, and indexing practices. Strong Linux fundamentals; scripting expertise (Python/Bash); Git; automation (Ansible/Terraform). Strong understanding of transport protocols (HTTP, TCP, TLS/MTLS), Kafka, S3/object storage. Experience designing secure data flows, including encryption, RBAC, secrets management, and compliance controls. Demonstrated ability to mentor senior engineers and lead technical decision making. Certified Cribl Certified Engineer (CCOE) or equivalent Cribl product expertise. Must possess the following DoD 8570.01-M certifications or be willing to obtain within 30 days of hire: Information Assurance Technician (IAT) Level II certification (currently Security+ CE, CCNA-Security, GSEC, SSCP, CySA+, GICSP, or CND). IAT Level III certification requirements (currently CASP+ CE, CCNP Security, CISA, CISSP (or Associate), GCED, or GCIH). Cyber Security Service Provider (CSSP) - Infrastructure Support (IS) certification requirements (currently CEH, CySA+, GICSP, SSCP, CHFI, CFR, Cloud+, or CND). Must possess a TS/SCI with Polygraph Preferred Qualifications: Expertise creating and maintaining Cribl Packs and reusable pipelines. Experience with cloud telemetry (AWS, Azure, hybrid) and cross-domain data movement patterns. Familiarity with NIST / CIS control frameworks and secure engineering practices. Experience building observability frameworks for large distributed systems. Vendor engagement experience (Cribl PS, product teams, troubleshooting escalations). Benefits: Competitive salary and performance-based bonuses. Comprehensive health, dental, and vision insurance. Opportunities for professional development and continuous learning.
Cyber Security Engineer - Data Engineer - Remote
Genesis10 Charlotte, North Carolina
Genesis10 is currently seeking a Cyber Security Engineer - Data Engineer with a Global Financial Institution located in Charlotte, NC. This is a remote 7+ month contract opportunity. This role will help strengthen the client's monitoring, detection, and response capabilities by building, onboarding, and maintaining high-quality security data pipelines across cloud and on-premises environments. The successful candidate will partner with application, infrastructure, security, and governance teams to ensure critical telemetry is collected, normalized, validated, and made available for threat detection, incident response, compliance, and cyber risk visibility. This is a hands-on engineering role for a candidate who is comfortable working with large volumes of security telemetry, solving complex data quality issues, and improving the reliability, scalability, and efficiency of log ingestion and data integration processes. Responsibilities: Design, build, and maintain scalable data ingestion pipelines for onboarding security log sources into SIEM and cloud data platforms, including Azure Data Explorer and Log Analytics Parse, normalize, transform, and enrich structured and unstructured log data using techniques such as regex, JSON parsing, schema mapping, and data validation Partner with application owners, infrastructure teams, cloud teams, vendors, and security stakeholders to onboard new log sources and confirm end-to-end data flow Validate log integrity, completeness, timeliness, and quality to ensure security telemetry is reliable and fit for monitoring, detection, response, and reporting use cases Align onboarded data to organizational standards, schemas, naming conventions, and data governance expectations to support downstream analytics and automation Troubleshoot ingestion, parsing, transformation, and pipeline issues across diverse log sources, platforms, and environments Develop and maintain documentation for log onboarding procedures, data mappings, source requirements, pipeline configurations, and operational support processes Collaborate with detection engineering and SOC teams to ensure onboarded logs support threat detection, investigation, response, and cyber risk visibility requirements Conduct telemetry gap analysis to identify missing, incomplete, or underrepresented data sources and recommend onboarding priorities to improve security coverage Support logging and data collection practices that align with regulatory, audit, compliance, retention, and integrity requirements Improve ingestion frameworks, automation, and onboarding workflows to increase efficiency, repeatability, scalability, and cost effectiveness Support infrastructure-as-code, scripting, and automation approaches where appropriate to streamline deployment and ongoing maintenance Monitor pipeline performance and partner with stakeholders to optimize ingestion reliability, throughput, and cost efficiency Stay current on emerging logging standards, telemetry formats, cybersecurity data engineering practices, and cloud security data platform capabilities Requirements: Minimum of 3 years of relevant experience in cybersecurity, data engineering, log management, security operations, or a related technology discipline Hands-on experience onboarding, managing, and validating log sources in SIEM, cloud data platforms, or security analytics environments Strong understanding of data parsing, normalization, transformation, and validation techniques, including regex, JSON, XML, CSV, and structured and unstructured data handling Familiarity with common security telemetry sources, including network, endpoint, identity, application, cloud, and infrastructure logs Experience with cloud platforms and associated logging, monitoring, and analytics services Strong troubleshooting and problem-solving skills related to data pipelines, ingestion flows, schema issues, and data quality defects Understanding of compliance and regulatory expectations related to logging, retention, auditability, and data integrity Familiarity with query languages used to validate, investigate, and analyze ingested data Ability to plan, coordinate, and execute onboarding efforts across multiple internal teams, vendors, and stakeholders Ability to balance operational support responsibilities with project-based delivery and continuous improvement efforts Strong attention to detail, commitment to data quality, and ownership of outcomes Ability to work effectively and collaboratively in a global team environment Strong communication skills, sound judgment, and a high degree of accountability Desired skills: Experience with scripting or automation tools such as Python, PowerShell, or similar technologies Experience in broader cybersecurity disciplines, including threat detection, incident response, vulnerability management, or cloud security Pay range: up to $65.76 per hour Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
08/04/2026
Full time
Genesis10 is currently seeking a Cyber Security Engineer - Data Engineer with a Global Financial Institution located in Charlotte, NC. This is a remote 7+ month contract opportunity. This role will help strengthen the client's monitoring, detection, and response capabilities by building, onboarding, and maintaining high-quality security data pipelines across cloud and on-premises environments. The successful candidate will partner with application, infrastructure, security, and governance teams to ensure critical telemetry is collected, normalized, validated, and made available for threat detection, incident response, compliance, and cyber risk visibility. This is a hands-on engineering role for a candidate who is comfortable working with large volumes of security telemetry, solving complex data quality issues, and improving the reliability, scalability, and efficiency of log ingestion and data integration processes. Responsibilities: Design, build, and maintain scalable data ingestion pipelines for onboarding security log sources into SIEM and cloud data platforms, including Azure Data Explorer and Log Analytics Parse, normalize, transform, and enrich structured and unstructured log data using techniques such as regex, JSON parsing, schema mapping, and data validation Partner with application owners, infrastructure teams, cloud teams, vendors, and security stakeholders to onboard new log sources and confirm end-to-end data flow Validate log integrity, completeness, timeliness, and quality to ensure security telemetry is reliable and fit for monitoring, detection, response, and reporting use cases Align onboarded data to organizational standards, schemas, naming conventions, and data governance expectations to support downstream analytics and automation Troubleshoot ingestion, parsing, transformation, and pipeline issues across diverse log sources, platforms, and environments Develop and maintain documentation for log onboarding procedures, data mappings, source requirements, pipeline configurations, and operational support processes Collaborate with detection engineering and SOC teams to ensure onboarded logs support threat detection, investigation, response, and cyber risk visibility requirements Conduct telemetry gap analysis to identify missing, incomplete, or underrepresented data sources and recommend onboarding priorities to improve security coverage Support logging and data collection practices that align with regulatory, audit, compliance, retention, and integrity requirements Improve ingestion frameworks, automation, and onboarding workflows to increase efficiency, repeatability, scalability, and cost effectiveness Support infrastructure-as-code, scripting, and automation approaches where appropriate to streamline deployment and ongoing maintenance Monitor pipeline performance and partner with stakeholders to optimize ingestion reliability, throughput, and cost efficiency Stay current on emerging logging standards, telemetry formats, cybersecurity data engineering practices, and cloud security data platform capabilities Requirements: Minimum of 3 years of relevant experience in cybersecurity, data engineering, log management, security operations, or a related technology discipline Hands-on experience onboarding, managing, and validating log sources in SIEM, cloud data platforms, or security analytics environments Strong understanding of data parsing, normalization, transformation, and validation techniques, including regex, JSON, XML, CSV, and structured and unstructured data handling Familiarity with common security telemetry sources, including network, endpoint, identity, application, cloud, and infrastructure logs Experience with cloud platforms and associated logging, monitoring, and analytics services Strong troubleshooting and problem-solving skills related to data pipelines, ingestion flows, schema issues, and data quality defects Understanding of compliance and regulatory expectations related to logging, retention, auditability, and data integrity Familiarity with query languages used to validate, investigate, and analyze ingested data Ability to plan, coordinate, and execute onboarding efforts across multiple internal teams, vendors, and stakeholders Ability to balance operational support responsibilities with project-based delivery and continuous improvement efforts Strong attention to detail, commitment to data quality, and ownership of outcomes Ability to work effectively and collaboratively in a global team environment Strong communication skills, sound judgment, and a high degree of accountability Desired skills: Experience with scripting or automation tools such as Python, PowerShell, or similar technologies Experience in broader cybersecurity disciplines, including threat detection, incident response, vulnerability management, or cloud security Pay range: up to $65.76 per hour Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Remote Technical Product Support Engineers
University of Utah Salt Lake City, Utah
Remote Technical Product Support Engineers Job Summary Located in the state-of-the-art UETN Operations Center at the Eccles Broadcast Center on the University of Utah campus, this Service Desk position serves as the primary point of contact for technical support and customer assistance related to the Utah Education Network's Interactive Video Conferencing (UETN-IVC) system. The role provides timely troubleshooting, issue resolution, and user support for a wide range of distance learning and collaboration technologies used by educators, students, technology professionals, and partner organizations across Utah. Remote Technical Product Support Engineers Troubleshoot and resolve complex and/or escalated technical product-related issues for customers remotely via inbound/escalated calls, email, live chat, video, etc. Duplicate problems and define root causes, using product designs, code, or specifications. Possess in-depth knowledge of the organization's products and/or services and may include engineers who created product or service. Develop technical documents and instructions and document new fixes for lower tier technical support groups. Interact with product development and quality assurance teams to give feedback, discuss design issues, investigate problems, and develop solutions to meet the technological needs of users. May also directly assist clients on escalated support tickets for highly complex technical issues when first-line product support teams have not succeeded in isolating and resolving issue. Learn more about the great benefits of working for University of Utah: benefits.utah.edu The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget. Responsibilities Reviews, analyzes, and evaluates information technology systems operations. Determines user needs and requirements and recommends ways to improve systems. Serves as primary point of contact between users and engineering/development staff. Utilizing various software tools and applications the position provides Tier 1 troubleshooting support for the Utah Education Network's statewide video tele-conferencing system (UEN-IVC), infrastructure and endpoints. Assists in general management, maintenance, and connectivity for daily statewide IVC events. Initiates and tracks trouble tickets for follow up and resolution with stakeholders and peer departments regarding network, equipment and hardware issues and failures. Provides support and assistance to statewide coordinators, facilitators, and local techs for synchronous events on the UEN-IVC system. Provides assistance to field engineers and techs with the diagnosing, troubleshooting and resolving of video and data network related problems. Assists the Application Engineering Department with the testing, implementation, and support of new IVC technologies. Accomplishes projects and assignments at the request of UETN management and administration. Provides reports and maintains technical information provided to management regarding the status and reliability of the IVC system, equipment, and hardware. Operations Center staff members are expected to act as professional representatives of UETN to its partners, peer staff, end site users and various stakeholders throughout the state and nation. Duties: • Utilizing various software tools and applications the position provides Tier 1 troubleshooting support for the Utah Education Network's statewide video tele-conferencing system (UEN-IVC), infrastructure and endpoints. • Assists in general management, maintenance, and connectivity for daily statewide IVC events. • Initiates and tracks trouble tickets for follow up and resolution with stakeholders and peer departments regarding network, equipment and hardware issues and failures. • Provides support and assistance to statewide coordinators, facilitators, and local techs for synchronous events on the UEN-IVC system. • Provides assistance to field engineers and techs with the diagnosing, troubleshooting and resolving of video and data network related problems. • Assists the Application Engineering Department with the testing, implementation, and support of new IVC technologies. • Accomplishes projects and assignments at the request of UETN management and administration. • Provides reports and maintains technical information provided to management regarding the status and reliability of the IVC system, equipment, and hardware. • Operations Center staff members are expected to act as professional representatives of UETN to its partners, peer staff, end site users and various stakeholders throughout the state and nation. Remote Technical Product Support Engineer, I Troubleshoot and resolve complex and/or escalated technical product-related issues for customers remotely via inbound/escalated calls, email, live chat, video, etc. Duplicate problems and define root causes, using product designs, code, or specifications. Possess in-depth knowledge of the organization's products and/or services and may include engineers who created product or service. Develop technical documents and instructions and document new fixes for lower tier technical support groups. Interact with product development and quality assurance teams to give feedback, discuss design issues, investigate problems, and develop solutions to meet the technological needs of users. May also directly assist clients on escalated support tickets for highly complex technical issues when first-line product support teams have not succeeded in isolating and resolving issue. Requires basic skill set and proficiency. Conducts work assignments as directed. Closely supervised with little latitude for independent judgment.Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree.This is an Entry-Level position in the General Professional track.Job Code: P35121Grade: P13 Remote Technical Product Support Engineer, IITroubleshoot and resolve complex and/or escalated technical product-related issues for customers remotely via inbound/escalated calls, email, live chat, video, etc. Duplicate problems and define root causes, using product designs, code, or specifications. Possess in-depth knowledge of the organization's products and/or services and may include engineers who created product or service. Develop technical documents and instructions and document new fixes for lower tier technical support groups. Interact with product development and quality assurance teams to give feedback, discuss design issues, investigate problems, and develop solutions to meet the technological needs of users. May also directly assist clients on escalated support tickets for highly complex technical issues when first-line product support teams have not succeeded in isolating and resolving issue. Requires moderate skill set and proficiency in discipline. Conducts work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment.Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.This is a Developing-Level position in the General Professional track.Job Code: P35122Grade: P16 Minimum Qualifications EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience).Department may hire employee at one of the following job levels: Remote Technical Product Support Engineer, I: Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree. Remote Technical Product Support Engineer, II: Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience. Preferences The ideal candidate will possess the following skill-sets and knowledge-base: A strong understanding of current network and video teleconferencing (VTC) protocols, standards, concepts, and trends. A capable knowledge of data network and VTC applications, software, and hardware technologies (Webex, Zoom, and theCisco acquired video technologies portfolio), as well as other vendor network and video-conferencing platforms and hardware. An applicable understanding of Cisco Expressway and VCS registration systems. An applicable understanding of various live streaming and recording technologies and processes. Demonstrable ability to remotely support statewide users of aforementioned technologies in a Tier 1 capacity. Exposure to and understanding of network video teleconferencing design and integration concepts. At least two years or more experience of troubleshooting duties in a technology related Help Desk/Call Center environment with the ability to implement, test, operate and troubleshoot audio and video-conferencing equipment. Bachelor's Degree preferred. Special Instructions Requisition Number: PRN45385B Full Time or Part Time? Full Time Work Schedule Summary: Work schedule will be 1 pm - 9 pm, with some variability based on work load and project needs. Department: 00336 - KUEN/Utah Education Network Location: Campus Pay Rate Range: 39,000 - 53,000 Close Date: 9/17/2026 Open Until Filled: To apply, visit jeid-9a909dc19a209f4b8bf6d2cd3
08/04/2026
Full time
Remote Technical Product Support Engineers Job Summary Located in the state-of-the-art UETN Operations Center at the Eccles Broadcast Center on the University of Utah campus, this Service Desk position serves as the primary point of contact for technical support and customer assistance related to the Utah Education Network's Interactive Video Conferencing (UETN-IVC) system. The role provides timely troubleshooting, issue resolution, and user support for a wide range of distance learning and collaboration technologies used by educators, students, technology professionals, and partner organizations across Utah. Remote Technical Product Support Engineers Troubleshoot and resolve complex and/or escalated technical product-related issues for customers remotely via inbound/escalated calls, email, live chat, video, etc. Duplicate problems and define root causes, using product designs, code, or specifications. Possess in-depth knowledge of the organization's products and/or services and may include engineers who created product or service. Develop technical documents and instructions and document new fixes for lower tier technical support groups. Interact with product development and quality assurance teams to give feedback, discuss design issues, investigate problems, and develop solutions to meet the technological needs of users. May also directly assist clients on escalated support tickets for highly complex technical issues when first-line product support teams have not succeeded in isolating and resolving issue. Learn more about the great benefits of working for University of Utah: benefits.utah.edu The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget. Responsibilities Reviews, analyzes, and evaluates information technology systems operations. Determines user needs and requirements and recommends ways to improve systems. Serves as primary point of contact between users and engineering/development staff. Utilizing various software tools and applications the position provides Tier 1 troubleshooting support for the Utah Education Network's statewide video tele-conferencing system (UEN-IVC), infrastructure and endpoints. Assists in general management, maintenance, and connectivity for daily statewide IVC events. Initiates and tracks trouble tickets for follow up and resolution with stakeholders and peer departments regarding network, equipment and hardware issues and failures. Provides support and assistance to statewide coordinators, facilitators, and local techs for synchronous events on the UEN-IVC system. Provides assistance to field engineers and techs with the diagnosing, troubleshooting and resolving of video and data network related problems. Assists the Application Engineering Department with the testing, implementation, and support of new IVC technologies. Accomplishes projects and assignments at the request of UETN management and administration. Provides reports and maintains technical information provided to management regarding the status and reliability of the IVC system, equipment, and hardware. Operations Center staff members are expected to act as professional representatives of UETN to its partners, peer staff, end site users and various stakeholders throughout the state and nation. Duties: • Utilizing various software tools and applications the position provides Tier 1 troubleshooting support for the Utah Education Network's statewide video tele-conferencing system (UEN-IVC), infrastructure and endpoints. • Assists in general management, maintenance, and connectivity for daily statewide IVC events. • Initiates and tracks trouble tickets for follow up and resolution with stakeholders and peer departments regarding network, equipment and hardware issues and failures. • Provides support and assistance to statewide coordinators, facilitators, and local techs for synchronous events on the UEN-IVC system. • Provides assistance to field engineers and techs with the diagnosing, troubleshooting and resolving of video and data network related problems. • Assists the Application Engineering Department with the testing, implementation, and support of new IVC technologies. • Accomplishes projects and assignments at the request of UETN management and administration. • Provides reports and maintains technical information provided to management regarding the status and reliability of the IVC system, equipment, and hardware. • Operations Center staff members are expected to act as professional representatives of UETN to its partners, peer staff, end site users and various stakeholders throughout the state and nation. Remote Technical Product Support Engineer, I Troubleshoot and resolve complex and/or escalated technical product-related issues for customers remotely via inbound/escalated calls, email, live chat, video, etc. Duplicate problems and define root causes, using product designs, code, or specifications. Possess in-depth knowledge of the organization's products and/or services and may include engineers who created product or service. Develop technical documents and instructions and document new fixes for lower tier technical support groups. Interact with product development and quality assurance teams to give feedback, discuss design issues, investigate problems, and develop solutions to meet the technological needs of users. May also directly assist clients on escalated support tickets for highly complex technical issues when first-line product support teams have not succeeded in isolating and resolving issue. Requires basic skill set and proficiency. Conducts work assignments as directed. Closely supervised with little latitude for independent judgment.Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree.This is an Entry-Level position in the General Professional track.Job Code: P35121Grade: P13 Remote Technical Product Support Engineer, IITroubleshoot and resolve complex and/or escalated technical product-related issues for customers remotely via inbound/escalated calls, email, live chat, video, etc. Duplicate problems and define root causes, using product designs, code, or specifications. Possess in-depth knowledge of the organization's products and/or services and may include engineers who created product or service. Develop technical documents and instructions and document new fixes for lower tier technical support groups. Interact with product development and quality assurance teams to give feedback, discuss design issues, investigate problems, and develop solutions to meet the technological needs of users. May also directly assist clients on escalated support tickets for highly complex technical issues when first-line product support teams have not succeeded in isolating and resolving issue. Requires moderate skill set and proficiency in discipline. Conducts work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment.Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.This is a Developing-Level position in the General Professional track.Job Code: P35122Grade: P16 Minimum Qualifications EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience).Department may hire employee at one of the following job levels: Remote Technical Product Support Engineer, I: Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree. Remote Technical Product Support Engineer, II: Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience. Preferences The ideal candidate will possess the following skill-sets and knowledge-base: A strong understanding of current network and video teleconferencing (VTC) protocols, standards, concepts, and trends. A capable knowledge of data network and VTC applications, software, and hardware technologies (Webex, Zoom, and theCisco acquired video technologies portfolio), as well as other vendor network and video-conferencing platforms and hardware. An applicable understanding of Cisco Expressway and VCS registration systems. An applicable understanding of various live streaming and recording technologies and processes. Demonstrable ability to remotely support statewide users of aforementioned technologies in a Tier 1 capacity. Exposure to and understanding of network video teleconferencing design and integration concepts. At least two years or more experience of troubleshooting duties in a technology related Help Desk/Call Center environment with the ability to implement, test, operate and troubleshoot audio and video-conferencing equipment. Bachelor's Degree preferred. Special Instructions Requisition Number: PRN45385B Full Time or Part Time? Full Time Work Schedule Summary: Work schedule will be 1 pm - 9 pm, with some variability based on work load and project needs. Department: 00336 - KUEN/Utah Education Network Location: Campus Pay Rate Range: 39,000 - 53,000 Close Date: 9/17/2026 Open Until Filled: To apply, visit jeid-9a909dc19a209f4b8bf6d2cd3
Intern - Software Engineer (Manufacturing Systems)
HTC Global Services Inc Perrysburg, Ohio
Job Title: Software Engineering Intern - Manufacturing Systems (MES) (ONSITE) Overview / Summary We are looking for enthusiastic and motivated recent graduates to join our Manufacturing Systems (MES) team as Software Engineering Interns. This internship offers hands-on experience in enterprise software development while supporting manufacturing operations. You will work alongside experienced engineers, learn modern software development practices, and contribute to real-world projects that support manufacturing, reliability, and R&D systems. Ideal for graduates with coursework or project experience in C#, .NET, SQL, or object-oriented programming who are eager to learn enterprise software development. Prioritize candidates with strong problem-solving skills, good communication, and an interest in manufacturing systems (MES). Key Responsibilities Assist in developing and enhancing software applications that support manufacturing operations. Help maintain and improve existing Manufacturing Execution System (MES) applications. Support the integration of manufacturing systems with software solutions. Assist with troubleshooting software and application issues under the guidance of experienced engineers. Help document technical issues, solutions, and system updates. Participate in software testing, debugging, and implementation activities. Learn and follow software development best practices, including version control and Agile processes. Collaborate with team members, administrators, and other departments on assigned tasks. Follow company safety procedures and housekeeping standards. Required Qualifications Recent graduate or currently completing a Bachelor's or Master's degree in Information Technology or a related field. Basic understanding of object-oriented programming concepts. Exposure to one or more programming languages such as C#, ASP.NET, JavaScript, or SQL through coursework, academic projects, or internships. Basic understanding of SQL and relational databases. Strong analytical and logical problem-solving skills. Good communication and organizational skills. Willingness to learn enterprise software development and manufacturing systems. Ability to work effectively in a team environment. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
08/04/2026
Full time
Job Title: Software Engineering Intern - Manufacturing Systems (MES) (ONSITE) Overview / Summary We are looking for enthusiastic and motivated recent graduates to join our Manufacturing Systems (MES) team as Software Engineering Interns. This internship offers hands-on experience in enterprise software development while supporting manufacturing operations. You will work alongside experienced engineers, learn modern software development practices, and contribute to real-world projects that support manufacturing, reliability, and R&D systems. Ideal for graduates with coursework or project experience in C#, .NET, SQL, or object-oriented programming who are eager to learn enterprise software development. Prioritize candidates with strong problem-solving skills, good communication, and an interest in manufacturing systems (MES). Key Responsibilities Assist in developing and enhancing software applications that support manufacturing operations. Help maintain and improve existing Manufacturing Execution System (MES) applications. Support the integration of manufacturing systems with software solutions. Assist with troubleshooting software and application issues under the guidance of experienced engineers. Help document technical issues, solutions, and system updates. Participate in software testing, debugging, and implementation activities. Learn and follow software development best practices, including version control and Agile processes. Collaborate with team members, administrators, and other departments on assigned tasks. Follow company safety procedures and housekeeping standards. Required Qualifications Recent graduate or currently completing a Bachelor's or Master's degree in Information Technology or a related field. Basic understanding of object-oriented programming concepts. Exposure to one or more programming languages such as C#, ASP.NET, JavaScript, or SQL through coursework, academic projects, or internships. Basic understanding of SQL and relational databases. Strong analytical and logical problem-solving skills. Good communication and organizational skills. Willingness to learn enterprise software development and manufacturing systems. Ability to work effectively in a team environment. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
Senior Systems Administrator
San Diego Housing Commission San Diego, California
About SDHC: The San Diego Housing Commission (SDHC) is an award-winning public housing agency in the City of San Diego that provides innovative housing assistance programs for households with low income or experiencing homelessness. The San Diego City Council, in its role as the Housing Authority of the City of San Diego, oversees SDHC. SDHC helps pay rent for more than 17,000 households with low income annually; is a leader in collaborative efforts to address homelessness, such as the Community Action Plan on Homelessness for the City of San Diego and SDHC's homelessness initiative, HOUSING FIRST - SAN DIEGO, which has created more than 11,000 housing solutions since November 2014 for people experiencing homelessness or at risk of homelessness; and creates and preserves affordable rental housing, with more than 23,000 affordable units in service in the City today with SDHC's participation. About the Department: The Information Technology (IT) Department supports the agency's mission by ensuring that its core business applications, cyber security defenses, and departmental processes are implemented, regularly reviewed and updated, and comply with industry best practices. Underlying each of these functions is the IT Department's oversight of data governance - the overall management of data assets for SDHC regardless of where data is stored or who is consuming it. About the Position: SDHC operates a multisite hybrid infrastructure with tightly integrated on-prem systems, cloud identity, virtualized workloads, modern collaboration platforms, layered security tooling, and enterprise grade backup/replication systems. The Senior Systems Administrator is responsible for infrastructure engineering, cloud identity integration, high availability systems operations, and cross stack troubleshooting across network, server, storage, security, and collaboration technologies. You will serve as a senior escalation resource, drive modernization projects, improve reliability and performance, and ensure secure and resilient operations for mission critical systems.
08/04/2026
Full time
About SDHC: The San Diego Housing Commission (SDHC) is an award-winning public housing agency in the City of San Diego that provides innovative housing assistance programs for households with low income or experiencing homelessness. The San Diego City Council, in its role as the Housing Authority of the City of San Diego, oversees SDHC. SDHC helps pay rent for more than 17,000 households with low income annually; is a leader in collaborative efforts to address homelessness, such as the Community Action Plan on Homelessness for the City of San Diego and SDHC's homelessness initiative, HOUSING FIRST - SAN DIEGO, which has created more than 11,000 housing solutions since November 2014 for people experiencing homelessness or at risk of homelessness; and creates and preserves affordable rental housing, with more than 23,000 affordable units in service in the City today with SDHC's participation. About the Department: The Information Technology (IT) Department supports the agency's mission by ensuring that its core business applications, cyber security defenses, and departmental processes are implemented, regularly reviewed and updated, and comply with industry best practices. Underlying each of these functions is the IT Department's oversight of data governance - the overall management of data assets for SDHC regardless of where data is stored or who is consuming it. About the Position: SDHC operates a multisite hybrid infrastructure with tightly integrated on-prem systems, cloud identity, virtualized workloads, modern collaboration platforms, layered security tooling, and enterprise grade backup/replication systems. The Senior Systems Administrator is responsible for infrastructure engineering, cloud identity integration, high availability systems operations, and cross stack troubleshooting across network, server, storage, security, and collaboration technologies. You will serve as a senior escalation resource, drive modernization projects, improve reliability and performance, and ensure secure and resilient operations for mission critical systems.
Software Engineer- Senior or Principal
P Chappel Associates San Diego, California
We are seeking an experienced Principal or Senior Embedded Software Engineer to design and develop embedded software for space-based systems, including computer boards. This is a hands-on, on-site position focused on real-time, high-reliability applications.
08/04/2026
Full time
We are seeking an experienced Principal or Senior Embedded Software Engineer to design and develop embedded software for space-based systems, including computer boards. This is a hands-on, on-site position focused on real-time, high-reliability applications.

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