174 jobs found

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

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

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

Job Description Job Description Information Technology Specialist I - Construction Design a Plus US-NY-Albany Job ID: # of Openings: 1 Category: Information Technology LiRo-Hill Overview Looking for an IT Specialist Level 1 Business Analyst Albany, NY Come join our team! We are looking to build services and capabilities through the growth of our key asset- our staff. Ranked among the nation's top A/E firms by Engineering News-Record, LiRo-Hill provides construction management, engineering, environmental, architectural, and program management solutions. You can become part of an organization that has a strong track record and is looking to strengthen relationships and capabilities to continue being a trusted resource for our clients in the public and private sector. We are proud to be known as an "Integrated Construction, Design and Technology Solutions" firm and we have delivered on that label time and again. Recently, Global Infrastructure Solutions Inc. (GISI), the parent company of The LiRo Group and Hill International, Inc. consolidated a portion of the highly experienced staff of both LiRo and Hill in the Northeast to create a larger, more efficient, and cost-effective team to serve clients. LiRo-Hill is a 1100-person firm with offices in NYC, Long Island, Buffalo, Rochester, Boston and Metro Park, NJ. The client for this project is the NYS Office of General Services (OGS) in Albany, NY Information Technology Specialist -for Strategic Operations Responsibilities The client for this project is the NYS Office of General Services (OGS) in Albany, NY Information Technology Specialist, Level I - This position will play a key role in assisting the Business Systems Analysis Team within the Strategic Operations Division. Based at our client's site in Albany, NY, the ideal candidate is flexible and adaptable to the evolving responsibilities of the team. The IT Specialist, Level 1 will need to be innovative, forward-thinking, and able to anticipate and execute their role when new direction is given. In addition to their core Business Systems Analysis work, this role requires the ability to assist in a cross-functional capacity with the Change Management, Project Management, and Training teams. You'll act as a liaison between multiple business units to mitigate impact to operations through business change implementations. You'll request documents for system changes through a triage/governance's process while also reviewing and evaluating proposed business process changes and system changes - provide input on complexity, feasibility, and impact and make recommendations on implementation. You'll also be responsible for: • Review and document current "as-is" state of the business process or function including creating flow charts and process models • Validate requirements throughout the business analysis process • Develop business process flows (Visio), fit-gap analyses, or functional designs) solutions to improve the efficiency and effectiveness of the business processes • Prepare various reengineering artifacts including Requirements Traceability matrix, Wireframes, Target Environment Reports, As-Is System Analysis, To-Be System Recommendations, Strategic Planning and Envisioning documents • Develop plans for requirements and system design sessions, ensure that agency needs are appropriately documented, and proposed solutions are adequately vetted with all stakeholders before implementation • Document, communicate, and validate requirements throughout the system, process, or product/service development lifecycle for all changes to processes that would enable the organization to achieve its goals • Communicate business process and system requirements to system developers and program staff • Perform system research and facilitate information gathering activities • Document recurring issues to provide end-users and internal Help Desk with FAQs to assist users and minimize support requirements. Make suggestions on technology to procure and utilize in D&C business practices • Assist with implementation of new processes and roll out training and turnover of the software solution • Prepare and review test plans, scenarios, and scripts. Work with Business staff to execute User Acceptance Testing • Review and analyze business process deficiencies requiring resolution during or after implementation Independently troubleshoot issues as they arise for internal and external users • Maintain historical data reports from obsolete Project Management System • Perform business analysis activities to extract data for forecasting, key performance indicators, and provide management with data to make policy decisions Qualifications Requirements The ideal candidate is organized, takes good notes, and is able to synthesize information quickly. Minimum qualifications include: • Minimum of 4 years' experience as a business analyst - An associate's degree can substitute for 1 year of business analysis experience - A bachelor's degree can substitute for 2 years of business analysis experience • Ability to collect, analyze, and organize data for management, contributing to data-driven decision-making • Ability to carry out in-depth analysis We are committed to your success, and we invest in your growth and development to unlock your full potential. Competitive Total Compensation Package Employee- Only Stock Purchase Plan Mentoring programs Continuing Education Program Employee referral bonus Volunteer/Industry association opportunities Compensation range for this role: Min $60,000 to Max $72,000 The range provided is the salary that the Firm in good faith believes at the time of this posting is willing to pay for the advertised position. The selected candidate must be authorized to work in the United States; Visa sponsorship is not available for this role. LiRo-Hill is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, national origin, ancestry, marital status, sex, affectional or sexual orientation, gender identity or expression, or protected veteran status; and will not be discriminated against on the basis of disability. Compensation details: 0 Yearly Salary PI8d77fc0e0e37-4388

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

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

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

Join our dynamic AWS team and become a critical guardian of global cloud infrastructure! You'll play a pivotal role in maintaining the heartbeat of the world's most innovative technology platform, ensuring seamless data center operations that power millions of businesses and services worldwide. Data Center Technicians should be willing to work both independently and with a team. Work prioritization, organizational skills, effective communication, and the ability to react quickly are critical to success. In addition to hardware and network repair, candidates will install equipment, create documentation, innovate solutions, and fix problems within the data center space. This team works in an environment that operates 24/7. Traveling within and outside of the regional work area is required. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: PDX is an AWS GovCloud region. As required by our contracts with the federal government, effective February 24, 2026, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States). NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job responsibilities Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, and responding to operational incidents that impact service availability, escalating to senior technicians and management as needed/required Serving as a primary contact point for both internal and external stakeholders, including engineers, software developers, vendors, and contractors Performing on-call duties and participating in scheduled maintenance and change management activities Contributing to documentation and process improvement initiatives based on your analysis of operational issues Helping to train and onboard new team members Physical requirements: Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds Working in cramped and/or elevated locations Bending, lifting, stretching, and reaching Standing and walking for up to 8+ hours a day Ascending and descending ladders, stairs, and gangways safely and without limitation Work in a noisy environment Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts). This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: Ability to travel to or commute between data center locations as needed Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. A day in the life As a Data Center Technician professional, you have industry-leading technical abilities and demonstrate a breadth of knowledge while you: Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution Solve problems at their root and step back to understand the broader context Maintain service level agreements through the implementation of proactive issue detection and reporting You will be required to work shift work that will include days/nights/weekends/holidays. Traveling within and outside of the regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- Experience managing work and priorities through a ticketing system - Experience working in a Data Center environment - An Associate's degree, technical certification, or equivalent professional or military experience in a relevant field (e.g., computer science, networking engineering, etc.) - Understanding of network design, protocols and layer 1/2 troubleshooting PREFERRED QUALIFICATIONS- Experience in a data center or other critical environment - Bachelor's degree or equivalent professional or military experience in an IT-related field (e.g. computer science, network engineering, etc.) - Industry standard certifications (CompTIA, CCENT, Network+) - Understanding of Linux or similar operating systems - Behavioral interviewing and hiring experience - Experience training and onboarding of new team members Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OR, Boardman - 30.00 - 54.00 USD hourly

Transform network infrastructure by joining our dynamic team! You'll be at the forefront of developing innovative solutions that drive network stability and scalability, using your technical expertise to create automated systems that power global technological advancement. Network Install Technicians will collaborate with cross-functional teams, troubleshoot complex technical scenarios, and implement strategic solutions that keep our network running seamlessly. Expect to engage in hands-on technical work that requires creativity, precision, and a passion for technological innovation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job responsibilities Moving and implementing large enterprise equipment Installing Fiber and Copper cabling and patching cabling between equipment Ensuring proper safety and security standards are maintained during cabling and rack installation, Following well established hardware installation procedures and break-fix activities Safely using material handling tools and equipment Traveling within and outside of the regional work area is required. Physical Requirements: All physical requirements are expected with reasonable accommodations: Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed Working in cramped and/or elevated and/or noisy environments Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day Ascending and descending ladders, stairs, and gangways safely and without limitation This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: Ability to travel to or commute between data center locations as needed Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS- 1+ years of computer networking experience - 1+ years of Linux operating systems experience - Bachelor's degree in Information Technology, Computer Science, or a related field - Experience in computer networking - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair PREFERRED QUALIFICATIONS- Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OR, Boardman - 30.00 - 54.00 USD hourly

Transform network infrastructure by joining our dynamic team! You'll be at the forefront of developing innovative solutions that drive network stability and scalability, using your technical expertise to create automated systems that power global technological advancement. Network Install Technicians will collaborate with cross-functional teams, troubleshoot complex technical scenarios, and implement strategic solutions that keep our network running seamlessly. Expect to engage in hands-on technical work that requires creativity, precision, and a passion for technological innovation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: PDX is an AWS GovCloud region. As required by our contracts with the federal government, effective February 24, 2026, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States). NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job responsibilities Moving and implementing large enterprise equipment Installing Fiber and Copper cabling and patching cabling between equipment Ensuring proper safety and security standards are maintained during cabling and rack installation, Following well established hardware installation procedures and break-fix activities Safely using material handling tools and equipment Traveling within and outside of the regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided Physical Requirements: Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed Working in cramped and/or elevated and/or noisy environments Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day Ascending and descending ladders, stairs, and gangways safely and without limitation This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: Ability to travel to or commute between data center locations as needed Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- High School diploma or equivalent - 1+ year of experience in any of the following or similar technical or vocational roles: Computer Hardware Repair, Infrastructure Cabling, Network Deployment, Data Center Operations PREFERRED QUALIFICATIONS- Knowledge of network cabling, optic types, and test equipment - Industry standard certifications (CompTIA, CCENT, Network+) - Experience with cabling infrastructure best practices and methodologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at USA, OR, Boardman - 27.00 - 48.00 USD hourly

Job Title: Senior Compute Infrastructure Engineer Overview / Summary HTC Global Services is seeking an experienced Senior Compute Infrastructure Engineer to support a strategic engagement with a large regional integrated healthcare delivery system. The role will lead compute-layer discovery and assessment activities, contribute to the consolidated risk register and remediation roadmap, and transition into a lead technical role within the ongoing managed services model. The engineer will support the client's transformation from an SOP-based operating model to a self-healing infrastructure model while working across hospital campuses, ambulatory practices, remote clinics, and vendor-hosted application dependencies. Key Responsibilities Lead compute-layer discovery activities across physical servers, hypervisors, virtual machines, and supporting infrastructure in coordination with Network Discovery and Cloud Connectivity workstreams. Operate discovery and inventory tools including Device42, Lansweeper, ServiceNow Discovery, and comparable platforms to produce a standardized configuration item inventory. Assess virtualization platforms including VMware vSphere, Microsoft Hyper-V, Nutanix AHV, or comparable technologies, covering cluster sizing, resource utilization, HA/DRS configuration, snapshot posture, and management-plane health. Perform infrastructure assessments in healthcare, financial services, or other regulated environments. Review healthcare clinical application hosting patterns, including EMR/EHR hosting environments, PACS/imaging archive dependencies, and HL7/FHIR integration engine hosting. Review server hardware lifecycle, firmware currency, BIOS/BMC posture, warranty status, and end-of-life/end-of-support risks. Assess operating system posture for Windows Server, Linux (RHEL, Ubuntu), and legacy platforms, including patch currency, support lifecycle, and standardized image alignment. Assess storage-related compute dependencies, including SAN/NAS connectivity, backup posture, and disaster recovery readiness at the hypervisor layer. Review clinical application hosting environments for server-level dependencies, performance, capacity, and platform standardization. Contribute compute-specific findings to the consolidated risk register based on clinical impact and operational feasibility. Serve as a senior technical resource within the NOC Managed Services model, providing Tier 3 escalation support for complex compute and virtualization issues. Execute compute change management activities, including VM lifecycle management, hypervisor upgrades, cluster rebalancing, patching, and server refresh activities. Support the transition to a self-healing infrastructure model through compute-layer automation using PowerShell, Ansible, Terraform, runbook creation, and monitoring improvements. Manage vulnerability reviews and patch planning for servers, hypervisors, and management-plane components. Collaborate with the client's Infrastructure Manager, Associate NOC Manager, and clinical application owners on change planning and clinical-window coordination. Contribute to weekly, monthly, and quarterly governance reporting through the Service Delivery Manager. Mentor junior compute engineers and NOC staff. Required Qualifications 13-14 years of experience. Deep technical knowledge and hands-on experience with Server Administration, including Active Directory, Group Policy, DNS, DHCP, WSUS/SCCM, and Windows Failover Clustering. Deep expertise in virtualization using VMware vSphere (ESXi, vCenter, HA/DRS), Microsoft Hyper-V, Nutanix AHV, or comparable platforms, including cluster design, capacity planning, and operational troubleshooting. Experience with discovery and inventory tools such as Device42, Lansweeper, ServiceNow Discovery, or comparable platforms. Experience performing infrastructure assessments in healthcare, financial services, or other regulated environments. Familiarity with healthcare clinical application hosting patterns, including EMR/EHR, PACS/imaging archive, and HL7/FHIR integration engine hosting. Experience with backup platforms such as Veeam, Commvault, Rubrik, Cohesity, or comparable technologies. Experience with compute-layer monitoring platforms such as SolarWinds SAM, Nagios, Datadog, ManageEngine OpManager, or comparable solutions. Experience with hyperconverged infrastructure, including Nutanix, VxRail, HPE SimpliVity, or comparable platforms. Strong experience with VMware vSphere, vCenter, ESXi, and underlying infrastructure. Proficiency in PowerShell scripting for automation and administrative tasks. Experience with Windows 10/11 tuning for virtual desktop environments. Knowledge of load balancing, security policies, MFA integrations, and session management. Experience with Microsoft Entra hybrid identity patterns, including domain-joined servers, Entra Connect, and hybrid Kerberos/certificate flows. Strong analytical and problem-solving capabilities. Excellent communication and stakeholder management skills. Ability to work independently and manage high-severity incidents under pressure. Collaborative team-oriented mindset. Preferred Qualifications VMware Certified Professional - Desktop and Mobility (VCP-DTM) or higher. Experience with hybrid VDI solutions (on-premises and cloud, such as Horizon Cloud on Azure/AWS). Exposure to Azure Virtual Desktop (AVD). ITIL Foundation certification or knowledge of change, incident, and problem management frameworks. Red Hat RHCE or comparable Linux certification. Nutanix NCP or comparable HCI certification. 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.

The DCS Air & Space Technology (AST) Sector is seeking a Computer Engineer for an exciting opportunity in support of the Air Force Research Laboratory (AFRL). In this role, you will help deliver technical expertise, with a focus on Modeling, Simulation & Analysis. You will collaborate closely with other DCS computer scientists and data analysts to support the customer's digital engineering initiatives. This position offers a chance for your curiosity and creativity to shine as you engineer unique solutions for a diverse problem set. We are seeking individuals that are driven and ready to grow with our company. DCS recognizes that its employees are the critical component in providing renowned solutions in the U.S. Defense, Aerospace, Human Factors, and Security markets. As an employee-owned company, professionals across all levels are valued and provided with the resources to make an immediate impact. At DCS, you will have the opportunity to work together with colleagues across multiple departments to support world-class research and development, while benefiting from training and mentorship to guide your career growth. Join DCS and contribute to innovative solutions that shape the future of critical technologies. Essential Job Functions: Development and integration of military models and operational concepts into AFSIM to advance the study of R&D conceptual technologies. Participate in Agile ceremonies, sprint planning, backlog grooming, and triage. Testing and evaluation of simulation environment and systems under test within the simulation environment. Required Skills: Due to the sensitivity of customer related requirements, US citizenship is required. Must be eligible to obtain and maintain Secret level US DOD security clearance. Applicants selected will be subject to a US government background investigation and must meet eligibility requirements for access to classified information. Must have a Bachelor's degree in a technical field (Computer Science, Engineering, Mathematics, or Similar). Familiarity in at least one of the following specialty areas: AFSIM, MBSE, AI/ML, or Database Development Experience using at least one scripting language such as JavaScript or Python. Experience with Object Oriented programming. Must be curious to explore new problems and develop creative solutions. Strong communication skills, both written and verbal. Must work onsite at customer facility. No Remote work. Desired Skills: Active Secret (or higher) security clearance. 1-5 years of direct experience in one or more of the specialty areas listed above. Strong understanding of military platforms, tactics, techniques, and procedures (TTPs), CONOPS, and mission-level concepts (air combat, ISR, electronic warfare, or electromagnetic spectrum operations highly desirable). Familiarity with Agile Methodology particularly utilizing the Scrum framework. Familiarity with Git-based version control, including branch management and merge request workflows in GitLab. Master's degree in technical field (Computer Science, Engineering, Mathematics, or Similar)

JT4, LLC provides engineering and technical support to multiple western test ranges for the U.S. Air Force, Space Force, and Navy under the Joint Range Technical Services Contract, better known as J-Tech II. JT4 develops and maintains realistic, integrated test and training environments and prepares our nation's war-fighting aircraft, weapons systems, and aircrews for today's missions and tomorrow's global challenges. JT4 will be hiring multiple candidates for this position with varying experience and skill levels. Salary ranges will be based on skill level and education. JOB DUTIES - ESSENTIAL FUNCTIONS JT4 has immediate need for aircraft Mission Planners. Candidates will Perform Mission Support System (MSS) mission planning & mission data duties for the U.S. Air Force at Edwards AFB, CA. Operate and maintain FIGHTERS, BOMBERS, and UNMANNED AIRCRAFT MSS mission planning product suite. Provide support, assistance and guidance to squadron weapons officers in establishing and maintaining mission data sensor scenarios. Assist pilots with operational mission planning and post-mission debrief support. Interface daily with pilots and frequently with maintenance personnel. May be required to work flexible schedule of odd hours, nights or weekends in support of flying operations. This position is located at a facility that requires special access. Basic Qualifications: Current Secret clearance required. Mission planning experience with aircraft or weapon systems and experience with Linux, UNIX, Solaris or Windows operating systems. Experience with troubleshooting computer hardware/software equipment. Bachelor's degree required. Desired Skills: Prior military aircraft tactics. Experience with Portable Flight Planning Software, Joint Mission Planning System, Common Sensor Planner. Prior experience with mission planning or avionics/sensors. Ability to effectively communicate (both verbal and written) and work as part of a team. CompTIA Security + certification highly desired; otherwise, ability to obtain certification within 6 months upon hiring. Job Duties: Supporting actual mission planning for Bomber test missions Assessing MP updates/changes/fixes Installing test software, then assessing it Maintaining system and s/w Coordinating Authorizations to Operate (ATOs) and hardware upgrades Attending demo evals, FQTs, etc. Building relationships across organizations Providing inputs to SPO, OT, contractor Interpreting requirements Required: B.A. or B.S. degree or higher Experience with Microsoft Office Suite, JMPS Secret Clearance, SAP eligible Security+ Desired: Prior military experience Test experience (plan/provision/execute/analyze/report) Flight experience Experience with the following planning software: Portable Flight Planning Software, Joint Mission Planning System, Common Sensor Planner, AFMSS, Omniview, Enterprise Collection Planner, and/or Combat Flight Planning Software Experience with web-based flight planning (i.e. etc.) REQUIREMENTS - EDUCATION, TECHNICAL, AND WORK EXPERIENCE The candidate must have a Bachelor of Science in Engineering from an ABET-accredited academic institution and 4 years of related engineering experience or have an accredited Master of Science in Engineering with at least 2 years of related engineering experience or have an accredited doctoral degree in engineering. The candidate must have mastery of concepts, principles, and practices of engineering that enables the employee to serve as a technical authority on projects relating to the specific programs. The position requires sufficient knowledge and skill to apply the latest developments in engineering to solve problems in the specialty area along with excellent communication and analytical skills. The candidate must have a working knowledge of computer systems and computer-based engineering tools and possess planning/organizing skills. The position may require the ability to investigate, troubleshoot, and design solutions to problems in operational hardware and software. The candidate must possess a valid, state-issued driver's license. The candidate must be able to obtain and maintain a DoD security clearance up to top secret with special access. Must be a U.S. citizen. SALARY The expected salary range for this position is $110,000 to 185,000 annually. Note: The salary range offered for this position is a good faith description of the expected salary range this role will pay. JT4, LLC considers factors such as (but not limited to) responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market/business considerations when extending an offer. BENEFITS Medical, Dental, Vision Insurance Benefits Active on Day 1 Life Insurance Health Savings Accounts/FSA's Disability Insurance Paid Time Off 401(k) Plan Options with Employer Match JT4 will match 50%, up to an 8% contribution 100% Immediate Vesting Tuition Reimbursement OTHER RESPONSIBILITIES Each employee must read, understand, and implement the general and specific operational, safety, quality, and environmental requirements of all plans, procedures, and policies pertaining to their job. WORKING CONDITIONS Work is performed in a typical office environment with no unusual hazards. Occasional lifting (up to 20 pounds), constant sitting with occasional use of computer terminal, constant use of sight abilities while reviewing documents, constant use of speech/hearing abilities for communication, and constant mental alertness are required. Travel to remote company work locations may be required. DISCLAIMER The above statements are intended to describe the general nature and level of work being performed by personnel assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of persons so classified. Tasking is in support of a Federal Government Contract that requires U.S. citizenship. Some jobs may require a candidate to be eligible for a government security clearance, state-issued driver's license, or other licenses/certifications, and the inability to obtain and maintain the required clearance, license, or certification may affect an employee's ability to maintain employment. SCC: JENG17, A1412TW

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.