Please note, this position is designated as flexible, which means the selected candidate may be required to report to the assigned office in Greensboro, NC at least part of the time each week. Technical Summary: This senior-level technical and functional leader is responsible for defining product strategy, vision, and roadmaps-from ideation through launch-for complex products supporting Mental Health and Wellness care delivery. The role focuses on designing and advancing digital capabilities that improve access, care coordination, and clinician and member experiences across the continuum of mental health services. A key aspect of the role includes close partnership with mental health clinicians, operational leaders, and cross-functional teams to deeply understand clinical workflows and translate them into scalable, technology-enabled solutions. The individual will support and optimize core workflows which primarily use the Epic platforms, including Ambulatory, MyChart, and Cadence, as well as the associated integrations (e.g., HL7 and other interoperability frameworks), ensuring seamless workflows and data exchange across systems. Job Summary: This senior technical/functional leader role is primarily responsible for defining product strategy, vision, and product roadmaps from ideation to launch for complex or high impact products, and making decisions on new products or enhancements to bring to market. This includes leading the development of product enhancements based on validated learnings, serving as an expert facilitator and consultant for product teams and diverse stakeholder groups across the organization, and partnering with operations teams and market stakeholders to support product adoption. This role is also responsible for leading and driving internal and external discovery for new and existing products, identifying best in class marketplace innovation, driving prototyping and validation with end users, ensuring learnings are funneled to product roadmaps, overseeing efforts to track outcomes and key performance indicators, and leading and overseeing product team members to solve user problems on complex or high impact issues. Essential Responsibilities: Drives the execution of multiple work streams by identifying customer and operational needs; developing and updating new procedures and policies; gaining cross-functional support for objectives and priorities; translating business strategy into actionable business requirements; obtaining and distributing resources; setting standards and measuring progress; removing obstacles that impact performance; guiding performance and developing contingency plans accordingly; solving highly complex issues; and influencing the completion of project tasks by others. Practices self-leadership and promotes learning in others by soliciting and acting on performance feedback; building collaborative, cross-functional relationships; communicating information and providing advice to drive projects forward; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership; influencing, mentoring, and coaching team members; fostering open dialogue amongst team members; evaluating and responding to the strengths and weaknesses of self and unit members; and adapting to and learning from change, difficulties, and feedback. Defines and drives product strategy and vision, and develops product roadmaps from ideation to launch for complex or high impact products by making decisions on new products or enhancements to bring to market; evaluating potential business process changes, system impacts, and flow concepts to determine the viability of implementing desired enhancements; providing an end-to-end holistic view of how specific business processes and internal system configurations impact the user experience; leading the development of business cases for new products, improvements to existing products, and/or business ventures; defining, managing, and avoiding technical debt as appropriate; leading the development of product enhancements based on validated learnings; ensuring documentation clearly communicates customer/stakeholder needs to the product team; and working with team members to clarify features and requirements as necessary. Serves as an expert facilitator and consultant for the product team and diverse stakeholder groups across the organization throughout the product management life cycle by driving the resolution of inter-squad, cross-product and external dependencies, roadblocks and constraints; partnering with operations teams and market stakeholders to support product adoption; coordinating training efforts to build readiness for production support and operational readiness teams; leading feature demos for key stakeholders; providing advanced product expertise, peer training, and consultation as appropriate; ensuring adherence to enterprise compliance standards; and managing technology risks as appropriate. Leads and drives internal and external discovery for new and existing products by partnering with key stakeholders to identify business needs; identifying best in class marketplace innovation; driving prototyping and validation with end users with support from UX design and research, engineering, and other stakeholders as appropriate; and ensuring learnings are funneled to the product roadmap. Oversees the tracking of key performance indicators by defining and tracking KPIs and performance metrics (e.g., speed, quality, etc.); reviewing analytical dashboards; assessing and verifying KPI alignment; and leading the development and maintenance of ad hoc reports, status updates, and presentation decks for key stakeholders and leadership. Leads and oversees product team members to solve user problems for complex or high impact issues by prioritizing the work backlog to ensure balance across new development, non-functional requirements, and technical work (e.g., maintenance, support, technical debt, etc.); and serving as a lead partner and expert on competitive and user research/testing, experimentation, and/or design thinking initiatives. Minimum Qualifications: Bachelors degree in Computer Science, Business Administration, Information Systems Management, Data Analytics, Engineering, Social Science, or related field and minimum ten (10) years experience in product management, project management, IT consulting, product development or support, business/system analysis, or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement. Advanced degrees may be substituted for a portion of the work experience requirements. Minimum five (5) years experience working in product management, including product discovery and developing short-term and long-term product strategies. Minimum two (2) years experience developing and validating business cases, including identifying value of investment projects. Minimum three (3) years experience working with agile teams, including familiarity with scrum ceremonies and agile best practices. Minimum three (3) years experience in strategic planning and building product roadmaps. Minimum four (4) years experience in a leadership role with or without direct reports.
08/08/2026
Full time
Please note, this position is designated as flexible, which means the selected candidate may be required to report to the assigned office in Greensboro, NC at least part of the time each week. Technical Summary: This senior-level technical and functional leader is responsible for defining product strategy, vision, and roadmaps-from ideation through launch-for complex products supporting Mental Health and Wellness care delivery. The role focuses on designing and advancing digital capabilities that improve access, care coordination, and clinician and member experiences across the continuum of mental health services. A key aspect of the role includes close partnership with mental health clinicians, operational leaders, and cross-functional teams to deeply understand clinical workflows and translate them into scalable, technology-enabled solutions. The individual will support and optimize core workflows which primarily use the Epic platforms, including Ambulatory, MyChart, and Cadence, as well as the associated integrations (e.g., HL7 and other interoperability frameworks), ensuring seamless workflows and data exchange across systems. Job Summary: This senior technical/functional leader role is primarily responsible for defining product strategy, vision, and product roadmaps from ideation to launch for complex or high impact products, and making decisions on new products or enhancements to bring to market. This includes leading the development of product enhancements based on validated learnings, serving as an expert facilitator and consultant for product teams and diverse stakeholder groups across the organization, and partnering with operations teams and market stakeholders to support product adoption. This role is also responsible for leading and driving internal and external discovery for new and existing products, identifying best in class marketplace innovation, driving prototyping and validation with end users, ensuring learnings are funneled to product roadmaps, overseeing efforts to track outcomes and key performance indicators, and leading and overseeing product team members to solve user problems on complex or high impact issues. Essential Responsibilities: Drives the execution of multiple work streams by identifying customer and operational needs; developing and updating new procedures and policies; gaining cross-functional support for objectives and priorities; translating business strategy into actionable business requirements; obtaining and distributing resources; setting standards and measuring progress; removing obstacles that impact performance; guiding performance and developing contingency plans accordingly; solving highly complex issues; and influencing the completion of project tasks by others. Practices self-leadership and promotes learning in others by soliciting and acting on performance feedback; building collaborative, cross-functional relationships; communicating information and providing advice to drive projects forward; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership; influencing, mentoring, and coaching team members; fostering open dialogue amongst team members; evaluating and responding to the strengths and weaknesses of self and unit members; and adapting to and learning from change, difficulties, and feedback. Defines and drives product strategy and vision, and develops product roadmaps from ideation to launch for complex or high impact products by making decisions on new products or enhancements to bring to market; evaluating potential business process changes, system impacts, and flow concepts to determine the viability of implementing desired enhancements; providing an end-to-end holistic view of how specific business processes and internal system configurations impact the user experience; leading the development of business cases for new products, improvements to existing products, and/or business ventures; defining, managing, and avoiding technical debt as appropriate; leading the development of product enhancements based on validated learnings; ensuring documentation clearly communicates customer/stakeholder needs to the product team; and working with team members to clarify features and requirements as necessary. Serves as an expert facilitator and consultant for the product team and diverse stakeholder groups across the organization throughout the product management life cycle by driving the resolution of inter-squad, cross-product and external dependencies, roadblocks and constraints; partnering with operations teams and market stakeholders to support product adoption; coordinating training efforts to build readiness for production support and operational readiness teams; leading feature demos for key stakeholders; providing advanced product expertise, peer training, and consultation as appropriate; ensuring adherence to enterprise compliance standards; and managing technology risks as appropriate. Leads and drives internal and external discovery for new and existing products by partnering with key stakeholders to identify business needs; identifying best in class marketplace innovation; driving prototyping and validation with end users with support from UX design and research, engineering, and other stakeholders as appropriate; and ensuring learnings are funneled to the product roadmap. Oversees the tracking of key performance indicators by defining and tracking KPIs and performance metrics (e.g., speed, quality, etc.); reviewing analytical dashboards; assessing and verifying KPI alignment; and leading the development and maintenance of ad hoc reports, status updates, and presentation decks for key stakeholders and leadership. Leads and oversees product team members to solve user problems for complex or high impact issues by prioritizing the work backlog to ensure balance across new development, non-functional requirements, and technical work (e.g., maintenance, support, technical debt, etc.); and serving as a lead partner and expert on competitive and user research/testing, experimentation, and/or design thinking initiatives. Minimum Qualifications: Bachelors degree in Computer Science, Business Administration, Information Systems Management, Data Analytics, Engineering, Social Science, or related field and minimum ten (10) years experience in product management, project management, IT consulting, product development or support, business/system analysis, or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement. Advanced degrees may be substituted for a portion of the work experience requirements. Minimum five (5) years experience working in product management, including product discovery and developing short-term and long-term product strategies. Minimum two (2) years experience developing and validating business cases, including identifying value of investment projects. Minimum three (3) years experience working with agile teams, including familiarity with scrum ceremonies and agile best practices. Minimum three (3) years experience in strategic planning and building product roadmaps. Minimum four (4) years experience in a leadership role with or without direct reports.
Please note, this position is designated as flexible and the selected candidate will be required to report to the assigned office in Greensboro, NC 3 days per week. Technical Summary: The System Administrator IV, Health Systems (Epic Tapestry, Referrals) supports the Clinical Care and Patient Engagement Technologies organization by serving as a senior-level subject matter expert responsible for the analysis, design, configuration, implementation, optimization, and ongoing support of Epic applications. This role evaluates complex clinical and business requirements and translates them into scalable, efficient technology solutions that align with organizational goals, Epic best practices, regulatory requirements, and industry standards. Leveraging advanced analytical, technical, and workflow design expertise, the Systems Administrator IV, Health Systems (Epic Tapestry, Referrals) leads and supports large-scale projects, system implementations, upgrades, and optimization initiatives. The position identifies opportunities to improve system functionality, operational efficiency, and the end-user experience while supporting all phases of the application lifecycle, including requirements gathering, design, build, testing, implementation, training, optimization, and production support. Working collaboratively with clinical leaders, business stakeholders, vendors, and cross-functional IT teams, this role serves as a trusted advisor, providing strategic guidance and technical expertise to ensure the stability, scalability, performance, and long-term success of enterprise Epic solutions. Job Summary: In addition to the responsibilities listed below, this position is responsible for system build, testing, validation, and ongoing support of assigned applications. This position will possess clinical or IT systems knowledge and experience to develop and support safe and high quality care using the electronic health record. This position will perform in depth and precise investigation and documentation of future- state operational specifications and application functionality. Performing analysis of application capabilities, workflows, data collection, report details, and other clinical and/or technical issues associated with Epic software. This position is responsible for developing and documenting the internal procedures that will be used in conjunction with Epic applications. Some of the unique challenges this position will face include analyzing clinical and business operations and investigating user preferences; prioritizing & implementing requested system changes & updates; serving as a liaison between end users, third parties, and Epic implementation staff. This position develops and documents internal procedures, collects information and prepares specifications of system enhancements, analyzes functionality in new releases and tests each new release. This position will also provide supervisory support of the system administration team Essential Responsibilities: Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating and assigning resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks, as appropriate; and recognizing and capitalizing on improvement opportunities. Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others and managers; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback. Meets timelines to drive the delivery of appropriate, sustainable, and prompt solutions. Assists technical and project team members to resolve system problems and application-specific issues. Supports the stability, availability, and performance of enterprise systems (e.g., systems, applications, network, databases, storage, security) by performing complex systems analysis to identify problems, trends, and opportunities for improvement. Provides first and second level support for enterprise systems and systems in one or more additional IT domains by diagnosing, troubleshooting, and resolving complex incidents to minimize system issues. Escalates unresolved or critical issues, risks or problems to system engineers. Supports communications with product users and suppliers to share information, identify opportunities, resolve problems, prioritize customer requirements, and maintain continuous improvement through customer feedback. Plans and performs complex system configuration. Participates in installs, upgrades, or decommissions of designated systems, products, and infrastructure. Creates documentation of new and existing system configuration and procedural information, and ensures system configurations documentation is complete and accurate. Plans the implementation of hardware and software changes into environments and one or more additional IT production environments by performing impact analyses of system changes. Supports vendor support activities, as appropriate. Participates in and influences change management processes. Defines the maintenance, modification, and documentation of complex and advanced applications. Supports the development of guidelines to prevent and/or resolve recurring problems. Recommends and executes performance tuning and optimization activities. Minimum Qualifications: Minimum three (3) years experience working with EPIC or comparable health system software OR Minimum three (3) years scripting or programming experience. Minimum one (1) year in an informal leadership role working with IT or operational teams. Bachelors degree in Computer Science, Engineering, Social Science, Education, Business, Health Care or related field and Minimum six (6) years working in IT or operations. Additional equivalent work experience may be substituted for the degree requirement.
08/08/2026
Full time
Please note, this position is designated as flexible and the selected candidate will be required to report to the assigned office in Greensboro, NC 3 days per week. Technical Summary: The System Administrator IV, Health Systems (Epic Tapestry, Referrals) supports the Clinical Care and Patient Engagement Technologies organization by serving as a senior-level subject matter expert responsible for the analysis, design, configuration, implementation, optimization, and ongoing support of Epic applications. This role evaluates complex clinical and business requirements and translates them into scalable, efficient technology solutions that align with organizational goals, Epic best practices, regulatory requirements, and industry standards. Leveraging advanced analytical, technical, and workflow design expertise, the Systems Administrator IV, Health Systems (Epic Tapestry, Referrals) leads and supports large-scale projects, system implementations, upgrades, and optimization initiatives. The position identifies opportunities to improve system functionality, operational efficiency, and the end-user experience while supporting all phases of the application lifecycle, including requirements gathering, design, build, testing, implementation, training, optimization, and production support. Working collaboratively with clinical leaders, business stakeholders, vendors, and cross-functional IT teams, this role serves as a trusted advisor, providing strategic guidance and technical expertise to ensure the stability, scalability, performance, and long-term success of enterprise Epic solutions. Job Summary: In addition to the responsibilities listed below, this position is responsible for system build, testing, validation, and ongoing support of assigned applications. This position will possess clinical or IT systems knowledge and experience to develop and support safe and high quality care using the electronic health record. This position will perform in depth and precise investigation and documentation of future- state operational specifications and application functionality. Performing analysis of application capabilities, workflows, data collection, report details, and other clinical and/or technical issues associated with Epic software. This position is responsible for developing and documenting the internal procedures that will be used in conjunction with Epic applications. Some of the unique challenges this position will face include analyzing clinical and business operations and investigating user preferences; prioritizing & implementing requested system changes & updates; serving as a liaison between end users, third parties, and Epic implementation staff. This position develops and documents internal procedures, collects information and prepares specifications of system enhancements, analyzes functionality in new releases and tests each new release. This position will also provide supervisory support of the system administration team Essential Responsibilities: Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating and assigning resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks, as appropriate; and recognizing and capitalizing on improvement opportunities. Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others and managers; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback. Meets timelines to drive the delivery of appropriate, sustainable, and prompt solutions. Assists technical and project team members to resolve system problems and application-specific issues. Supports the stability, availability, and performance of enterprise systems (e.g., systems, applications, network, databases, storage, security) by performing complex systems analysis to identify problems, trends, and opportunities for improvement. Provides first and second level support for enterprise systems and systems in one or more additional IT domains by diagnosing, troubleshooting, and resolving complex incidents to minimize system issues. Escalates unresolved or critical issues, risks or problems to system engineers. Supports communications with product users and suppliers to share information, identify opportunities, resolve problems, prioritize customer requirements, and maintain continuous improvement through customer feedback. Plans and performs complex system configuration. Participates in installs, upgrades, or decommissions of designated systems, products, and infrastructure. Creates documentation of new and existing system configuration and procedural information, and ensures system configurations documentation is complete and accurate. Plans the implementation of hardware and software changes into environments and one or more additional IT production environments by performing impact analyses of system changes. Supports vendor support activities, as appropriate. Participates in and influences change management processes. Defines the maintenance, modification, and documentation of complex and advanced applications. Supports the development of guidelines to prevent and/or resolve recurring problems. Recommends and executes performance tuning and optimization activities. Minimum Qualifications: Minimum three (3) years experience working with EPIC or comparable health system software OR Minimum three (3) years scripting or programming experience. Minimum one (1) year in an informal leadership role working with IT or operational teams. Bachelors degree in Computer Science, Engineering, Social Science, Education, Business, Health Care or related field and Minimum six (6) years working in IT or operations. Additional equivalent work experience may be substituted for the degree requirement.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for an Associate Systems Engineer - Health Management to join the Government Vehicle Health Management Systems (GVHMS) team in Hazelwood, MO. This role will support a proprietary program as well as other platforms in the GVHMS portfolio within the Boeing Global Services (BGS) organization. This team develops and fields aircraft health management systems across multiple platforms-including F/A-18, E/A-18, F-15, T7, MQ-25, and proprietary programs-by acquiring and managing aircraft health and usage data, performing assessments, updating configurations, and recommending maintenance actions. The team is looking for a highly motivated systems engineer to collaborative approach to plan, design, develop and verify a lifecycle balanced system of systems and system solutions within the GVHMS portfolio. This role may require interaction with internal and external stakeholders to ensure software products are developed in alignment with supporting customer, business and program needs. The ideal candidate will have a combination of technical system engineering skills as well as project management skills. Good oral and written communication is essential to succeed in this position. This role will work closely with the software development team, hardware team, test team, other System Engineers, and leadership. Position Responsibilities: Applies an interdisciplinary, collaborative approach to plan, design, develop and verify a lifecycle balanced system of systems and system solutions Evaluates customer and /operational needs to define and coordinate system performance requirements, integrate technical parameters and assure compatibility of all physical, functional and program interfaces Performs various analyses to optimize total system of systems and/or system architecture Performs analyses for affordability, safety, reliability, maintainability, testability, human systems integration, survivability, vulnerability, susceptibility, system security, regulatory, certification, product assurance and other specialties quality factors into a preferred configuration to ensure mission success Develops the planning, organization, implementation and monitoring of requirements management processes, tools, risk, issues, opportunity management and technology readiness assessment processes Resolves cross-functional technical issues Basic Qualifications (Required Skills/Experience): Bachelor's Degree in an engineering discipline Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship 1+ years of experience in systems engineering (requirements definition, allocation, verification, architecture design and trade design) 1+ years of experience working systems engineering across multiple phases of the product life-cycle Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science Active Secret Security Clearance 1+ years' experience building stakeholder and customer relationships Agile development experience Experience with military aircraft and Proprietary programs Excellent communication skills and ability to lead by influence 2+ years of experience with Model Based Systems Engineering (MBSE) is a plus Experience with Earned Value Management (EVM) and CAM duties Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Associate level (Level 2): $91,800 - $124,200 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Aug. 12, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
08/07/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for an Associate Systems Engineer - Health Management to join the Government Vehicle Health Management Systems (GVHMS) team in Hazelwood, MO. This role will support a proprietary program as well as other platforms in the GVHMS portfolio within the Boeing Global Services (BGS) organization. This team develops and fields aircraft health management systems across multiple platforms-including F/A-18, E/A-18, F-15, T7, MQ-25, and proprietary programs-by acquiring and managing aircraft health and usage data, performing assessments, updating configurations, and recommending maintenance actions. The team is looking for a highly motivated systems engineer to collaborative approach to plan, design, develop and verify a lifecycle balanced system of systems and system solutions within the GVHMS portfolio. This role may require interaction with internal and external stakeholders to ensure software products are developed in alignment with supporting customer, business and program needs. The ideal candidate will have a combination of technical system engineering skills as well as project management skills. Good oral and written communication is essential to succeed in this position. This role will work closely with the software development team, hardware team, test team, other System Engineers, and leadership. Position Responsibilities: Applies an interdisciplinary, collaborative approach to plan, design, develop and verify a lifecycle balanced system of systems and system solutions Evaluates customer and /operational needs to define and coordinate system performance requirements, integrate technical parameters and assure compatibility of all physical, functional and program interfaces Performs various analyses to optimize total system of systems and/or system architecture Performs analyses for affordability, safety, reliability, maintainability, testability, human systems integration, survivability, vulnerability, susceptibility, system security, regulatory, certification, product assurance and other specialties quality factors into a preferred configuration to ensure mission success Develops the planning, organization, implementation and monitoring of requirements management processes, tools, risk, issues, opportunity management and technology readiness assessment processes Resolves cross-functional technical issues Basic Qualifications (Required Skills/Experience): Bachelor's Degree in an engineering discipline Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship 1+ years of experience in systems engineering (requirements definition, allocation, verification, architecture design and trade design) 1+ years of experience working systems engineering across multiple phases of the product life-cycle Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science Active Secret Security Clearance 1+ years' experience building stakeholder and customer relationships Agile development experience Experience with military aircraft and Proprietary programs Excellent communication skills and ability to lead by influence 2+ years of experience with Model Based Systems Engineering (MBSE) is a plus Experience with Earned Value Management (EVM) and CAM duties Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Associate level (Level 2): $91,800 - $124,200 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Aug. 12, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
American Engineering Testing Inc
Bismarck, North Dakota
About Us At American Engineering Testing (AET), we believe that people are the heart of innovation. We create an environment that values teamwork, curiosity, and continuous improvement while delivering innovative engineering and consulting solutions. As a 100% employee-owned firm, we deliver comprehensive testing, analysis, and design to reduce uncertainty in construction projects and offer rewarding work, exceptional training, and career development opportunities. Job Summary The Data Center Field Lead at American Engineering Testing, Inc. (AET) plays a critical leadership role in coordinating and overseeing field operations across construction materials testing (CMT), geotechnical, pavement, and environmental service lines. This role ensures high-quality service delivery, team performance, and safety compliance while acting as a frontline liaison between field technicians, project managers, and clients. The Field Supervisor leads field staff, supports operational goals, and upholds AET's commitment to technical excellence and client satisfaction across a variety of infrastructure and construction projects. This role is open to a range of experience levels. We encourage applications from both emerging leaders and seasoned professionals. The final title, scope, and compensation package will be tailored to reflect each candidate's background, expertise, and certifications. Essential Duties and Responsibilities Reasonable accommodations or workable solutions may be made to enable individuals with disabilities to perform essential functions. Assign and coordinate daily project schedules for field staff based on workload, testing complexity, certifications, and project scope. Provide technical guidance and quality control on field procedures including soils, concrete, asphalt, aggregate, and specialty materials testing. Perform or assist with complex field investigations, sampling procedures, and test observations. Review and approve field documentation including daily field reports, timesheets, expenses, and mileage logs. Support the use of AET's systems (e.g., QEST, Dynamics) for accurate project tracking and reporting. Serve as a point of contact for field-level project inquiries, coordinating with project managers and clients to resolve concerns or technical clarifications. Ensure that client specifications, contract requirements, and industry standards (e.g., ASTM, AASHTO, MnDOT) are consistently met on all active job sites. Support the development and delivery of accurate and timely testing results and project documentation. Mentor, coach, and train new and junior technicians in proper field methods, safety procedures, and client interaction. Conduct regular performance check-ins and annual reviews; support employees with development goals and certifications (e.g., ACI, NICET, MnDOT). Help manage field onboarding and certifications tracking, working closely with Department and HR teams. Lead field team meetings or tailgate talks to reinforce safety, project updates, and process improvements. Monitor and support project productivity, technician utilization, and overtime management. Assist with maintaining project and department profitability targets through scheduling, quality, and cost control. Help track prevailing wage compliance, WIP status, and project documentation accuracy in collaboration with project managers. Enforce AET's health and safety practices on all job sites; conduct spot checks and incident follow-ups as needed. Uphold QA/QC standards through review of field practices, calibrations, and proper documentation. Promote a positive team culture rooted in safety, respect, professionalism, and accountability. Supervisory Responsibility Direct Supervision of assigned field technicians or engineering staff. Required Qualifications and Education Requirements High School Diploma or equivalent required. Minimum 3 years of hands-on experience in construction materials testing or related engineering services. 0-2 years of direct supervisory experience required. Valid driver's license and acceptable driving record. Preferred Skills Associate or bachelor's degree in Civil Engineering, Construction Management, or Geology preferred. Field certifications such as ACI Field Testing Grade I, MnDOT Bituminous/Grading & Base, NICET, or equivalent. Strong working knowledge of field standards and test methods (ASTM, AASHTO, MnDOT). Experience using project tracking systems such as QEST or Microsoft Dynamics. Excellent communication and team leadership skills, with the ability to train and motivate technicians. Proven ability to manage shifting priorities in a high-volume, fast-paced field environment. Work Environment This job primarily operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, and filing cabinets. This position will occasionally be required to operate in a field environment. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands or fingers, handle or feel; and reach with hands and arms. The employee is occasionally required to sit; climb or balance, and stoop, kneel, crouch, or crawl. The employee must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Third Party Disclosure Notice to Third Party Agencies: AET does not accept unsolicited resumes from third party recruiting firms. Absent a signed Service Agreement by AET's Chief People Officer (CPO), AET reserves the right to pursue and hire these candidates without financial obligation to recruiters or agencies. PI81481f7512fb-4173
08/07/2026
Full time
About Us At American Engineering Testing (AET), we believe that people are the heart of innovation. We create an environment that values teamwork, curiosity, and continuous improvement while delivering innovative engineering and consulting solutions. As a 100% employee-owned firm, we deliver comprehensive testing, analysis, and design to reduce uncertainty in construction projects and offer rewarding work, exceptional training, and career development opportunities. Job Summary The Data Center Field Lead at American Engineering Testing, Inc. (AET) plays a critical leadership role in coordinating and overseeing field operations across construction materials testing (CMT), geotechnical, pavement, and environmental service lines. This role ensures high-quality service delivery, team performance, and safety compliance while acting as a frontline liaison between field technicians, project managers, and clients. The Field Supervisor leads field staff, supports operational goals, and upholds AET's commitment to technical excellence and client satisfaction across a variety of infrastructure and construction projects. This role is open to a range of experience levels. We encourage applications from both emerging leaders and seasoned professionals. The final title, scope, and compensation package will be tailored to reflect each candidate's background, expertise, and certifications. Essential Duties and Responsibilities Reasonable accommodations or workable solutions may be made to enable individuals with disabilities to perform essential functions. Assign and coordinate daily project schedules for field staff based on workload, testing complexity, certifications, and project scope. Provide technical guidance and quality control on field procedures including soils, concrete, asphalt, aggregate, and specialty materials testing. Perform or assist with complex field investigations, sampling procedures, and test observations. Review and approve field documentation including daily field reports, timesheets, expenses, and mileage logs. Support the use of AET's systems (e.g., QEST, Dynamics) for accurate project tracking and reporting. Serve as a point of contact for field-level project inquiries, coordinating with project managers and clients to resolve concerns or technical clarifications. Ensure that client specifications, contract requirements, and industry standards (e.g., ASTM, AASHTO, MnDOT) are consistently met on all active job sites. Support the development and delivery of accurate and timely testing results and project documentation. Mentor, coach, and train new and junior technicians in proper field methods, safety procedures, and client interaction. Conduct regular performance check-ins and annual reviews; support employees with development goals and certifications (e.g., ACI, NICET, MnDOT). Help manage field onboarding and certifications tracking, working closely with Department and HR teams. Lead field team meetings or tailgate talks to reinforce safety, project updates, and process improvements. Monitor and support project productivity, technician utilization, and overtime management. Assist with maintaining project and department profitability targets through scheduling, quality, and cost control. Help track prevailing wage compliance, WIP status, and project documentation accuracy in collaboration with project managers. Enforce AET's health and safety practices on all job sites; conduct spot checks and incident follow-ups as needed. Uphold QA/QC standards through review of field practices, calibrations, and proper documentation. Promote a positive team culture rooted in safety, respect, professionalism, and accountability. Supervisory Responsibility Direct Supervision of assigned field technicians or engineering staff. Required Qualifications and Education Requirements High School Diploma or equivalent required. Minimum 3 years of hands-on experience in construction materials testing or related engineering services. 0-2 years of direct supervisory experience required. Valid driver's license and acceptable driving record. Preferred Skills Associate or bachelor's degree in Civil Engineering, Construction Management, or Geology preferred. Field certifications such as ACI Field Testing Grade I, MnDOT Bituminous/Grading & Base, NICET, or equivalent. Strong working knowledge of field standards and test methods (ASTM, AASHTO, MnDOT). Experience using project tracking systems such as QEST or Microsoft Dynamics. Excellent communication and team leadership skills, with the ability to train and motivate technicians. Proven ability to manage shifting priorities in a high-volume, fast-paced field environment. Work Environment This job primarily operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, and filing cabinets. This position will occasionally be required to operate in a field environment. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands or fingers, handle or feel; and reach with hands and arms. The employee is occasionally required to sit; climb or balance, and stoop, kneel, crouch, or crawl. The employee must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Third Party Disclosure Notice to Third Party Agencies: AET does not accept unsolicited resumes from third party recruiting firms. Absent a signed Service Agreement by AET's Chief People Officer (CPO), AET reserves the right to pursue and hire these candidates without financial obligation to recruiters or agencies. PI81481f7512fb-4173
We are more than a health system. We are a belief system. We believe wellness and sickness are both part of a lifelong partnership, and that everyone could use an expert guide. We work hard, care deeply and reach further to help people uncover their own power to be healthy. We inspire hope. We learn, grow, and achieve more - in our careers and in our communities. Job Description Summary: The Senior Systems Analyst Epic will play a crucial role in designing, building, testing, training, deploying, and supporting Epic applications to optimize clinical and operational workflows. This position requires a deep understanding of healthcare workflows, system integration, and project management to ensure the efficient operation of the healthcare system's IT infrastructure. Partners closely with operational leaders and end users to translate business requirements into reliable Epic configuration, integrations, and reporting-supporting safe patient care, efficient revenue cycle operations, and regulatory compliance while achieving Service Level Agreements (SLAs) relative to the supported applications. Provides technical expertise by enforcing the vision of the application and safeguarding the integrity and security of the application environment and training in collaboration and partnership with architects, tech leads and engineers. Leads process improvement activities related to Application Management and training for Epic and related third party applications. The Senior System Analyst Epic encompasses two closely related role focus areas: Application Build and Application Training. While responsibilities are similar, emphasis may vary based on team assignment. Responsibilities And Duties: Both RolesSystem Analysis and Design: Engage stakeholders to gather and refine requirements, map current-state workflows, and design Epic build that aligns with operational goals and policy. Create and maintain specifications, decision logs, and design documents for clear traceability and change control. Conduct gap analyses to identify configuration or workflow changes needed for upgrades, regulatory changes, or new initiatives. Project Management: Manage smaller projects related to system implementations and upgrades. Strong knowledge with various project management approaches, e.g. waterfall, agile. Ability to lead project teams in project methodology. Training and Documentation: Create and maintain comprehensive documentation for system configurations and processes. Mentor junior analysts and provide guidance on best practices. Application Build RoleApplication Build, Configuration, and Deployment: Configure records, master files, and tools (e.g., profiles, rules, security classes, workflows) aligned to approved design. Maintain environment parity and adhere to change management and build naming conventions. Develop and execute unit, integrated, and UAT test plans; log and resolve defects; document test evidence. Validate interfaces, printing, reporting, and downstream workflows; confirm regression coverage in upgrades. Coordinate release management, environment moves, and downtime procedures for upgrades and patches. Provide go-live and post-live hypercare, including rounding, office hours, tip sheets, and at-the-elbow support. Manage service requests and incidents ina timely manner; meet SLAs through robust triage and root-cause analysis. Provide advanced support for (Epic, Workday, Kronos,) and other applications. Collaborate with IT and clinical teams to integrate across IT portfolio with other IT systems (e.g., Epic, 3rd Party Imaging Applications, AI, etc.). Integration and Data Management: Collaborate with interface teams on HL7, FHIR, PDFs, CCD/CCDA, and other exchange workflows. Partner with analytics teams on Clarity/Caboodle extracts, registries, and operational reporting needs. Ensure data integrity and metric definitions are consistent across modules and stakeholders. Compliance & Risk: Support regulatory readiness (e.g., CMS, Joint Commission), audit needs, and policy alignment. Embed privacy/security controls, including sensitive record handling and audit trails. Contribute to ITIL-aligned incident, problem, change, and configuration management processes. Application Training RoleCurriculum Management: Design and implement customized training programs aligned with organizational strategy and operational goals Oversee maintenance, enhancement, and governance of the CareConnect curriculum Ensure curriculum accuracy, consistency, and alignment with organizational priorities Incorporate learner and stakeholder feedback into ongoing curriculum improvements Oversee the build, maintenance, and readiness of training environments Ensure clear and timely communication related to system releases and upgrades Request/Incident Management: Manage end user training related requests and incidents with professionalism and efficiency Evaluate, prioritize, assign, and resolve requests within established service expectations Document incidents and resolutions to support a comprehensive knowledge base Collaborate with IT and operational partners to identify trends and implement preventative improvements Refine support processes to enhance service quality and user experience Minimum Qualifications: Bachelor's Degree Additional Job Description: degree in computer science, Information Technology, Healthcare Administration, or a related field. Minimum of 5-7 years of experience in system analysis and support within a healthcare environment. In lieu of degree, 10+ years of experience in system analysis and support within a healthcare environment. SPECIALIZED KNOWLEDGE Required for Both Roles: Experience with Epic application(s) and healthcare workflows (clinical, revenue cycle or IT experience). Strong requirements gathering, workflow design, and testing skills. Familiarity with ITIL, change control, SDLC practices, system governance, and waterfall/agile project methodologies. Ability to communicate with clinical, operational stakeholders, and managed service providers and produce clear documentation. Proven track record of managing complex projects and leading cross-functional teams. Requirements for Application Training role: Epic Training Environment Build certified and 3+ years of experience 2 Epic Application Principal Trainer certifications Preferred for Application Build role: Current Epic Certification or Proficiency in one or more relevant module(s) (e.g., HB, PB, Cadence, Referrals, Orders, ClinDoc, Clarity). 3+ years of build Epic build and configuration experience Previous experience in a leadership or supervisory role. Experience with system integration, HL7, FHIR, and interface testing. Exposure to SQL/Clarity, Caboodle, SlicerDicer, or reporting tools (e.g., Radar, Reporting Workbench). Prior work in patient access, billing, coding, finance, or clinical operations (for respective modules). DESIRED ATTRIBUTES ITIL Foundation certification desired not required. Certifications in one or more Epic applications Experience in a large healthcare system or hospital setting. Experience with other healthcare applications and systems. Knowledge of healthcare regulations and compliance standards. Familiarity with cloud computing platforms (e.g., AWS, Azure). Experience with business intelligence and analytics tools. Advanced degree (Master's or higher) in a related field is a plus. Work Shift: Day Scheduled Weekly Hours : 40 Department IS Applications Join us! if your passion is to work in a caring environment if you believe that learning is a life-long process if you strive for excellence and want to be among the best in the healthcare industry Equal Employment Opportunity OhioHealth is an equal opportunity employer and fully supports and maintains compliance with all state, federal, and local regulations. OhioHealth does not discriminate against associates or applicants because of race, color, genetic information, religion, sex, sexual orientation, gender identity or expression, age, ancestry, national origin, veteran status, military status, pregnancy, disability, marital status, familial status, or other characteristics protected by law. Equal employment is extended to all person in all aspects of the associate-employer relationship including recruitment, hiring, training, promotion, transfer, compensation, discipline, reduction in staff, termination, assignment of benefits, and any other term or condition of employment Remote Work Disclaimer: Positions marked as remote are only eligible for work from Ohio.
08/07/2026
Full time
We are more than a health system. We are a belief system. We believe wellness and sickness are both part of a lifelong partnership, and that everyone could use an expert guide. We work hard, care deeply and reach further to help people uncover their own power to be healthy. We inspire hope. We learn, grow, and achieve more - in our careers and in our communities. Job Description Summary: The Senior Systems Analyst Epic will play a crucial role in designing, building, testing, training, deploying, and supporting Epic applications to optimize clinical and operational workflows. This position requires a deep understanding of healthcare workflows, system integration, and project management to ensure the efficient operation of the healthcare system's IT infrastructure. Partners closely with operational leaders and end users to translate business requirements into reliable Epic configuration, integrations, and reporting-supporting safe patient care, efficient revenue cycle operations, and regulatory compliance while achieving Service Level Agreements (SLAs) relative to the supported applications. Provides technical expertise by enforcing the vision of the application and safeguarding the integrity and security of the application environment and training in collaboration and partnership with architects, tech leads and engineers. Leads process improvement activities related to Application Management and training for Epic and related third party applications. The Senior System Analyst Epic encompasses two closely related role focus areas: Application Build and Application Training. While responsibilities are similar, emphasis may vary based on team assignment. Responsibilities And Duties: Both RolesSystem Analysis and Design: Engage stakeholders to gather and refine requirements, map current-state workflows, and design Epic build that aligns with operational goals and policy. Create and maintain specifications, decision logs, and design documents for clear traceability and change control. Conduct gap analyses to identify configuration or workflow changes needed for upgrades, regulatory changes, or new initiatives. Project Management: Manage smaller projects related to system implementations and upgrades. Strong knowledge with various project management approaches, e.g. waterfall, agile. Ability to lead project teams in project methodology. Training and Documentation: Create and maintain comprehensive documentation for system configurations and processes. Mentor junior analysts and provide guidance on best practices. Application Build RoleApplication Build, Configuration, and Deployment: Configure records, master files, and tools (e.g., profiles, rules, security classes, workflows) aligned to approved design. Maintain environment parity and adhere to change management and build naming conventions. Develop and execute unit, integrated, and UAT test plans; log and resolve defects; document test evidence. Validate interfaces, printing, reporting, and downstream workflows; confirm regression coverage in upgrades. Coordinate release management, environment moves, and downtime procedures for upgrades and patches. Provide go-live and post-live hypercare, including rounding, office hours, tip sheets, and at-the-elbow support. Manage service requests and incidents ina timely manner; meet SLAs through robust triage and root-cause analysis. Provide advanced support for (Epic, Workday, Kronos,) and other applications. Collaborate with IT and clinical teams to integrate across IT portfolio with other IT systems (e.g., Epic, 3rd Party Imaging Applications, AI, etc.). Integration and Data Management: Collaborate with interface teams on HL7, FHIR, PDFs, CCD/CCDA, and other exchange workflows. Partner with analytics teams on Clarity/Caboodle extracts, registries, and operational reporting needs. Ensure data integrity and metric definitions are consistent across modules and stakeholders. Compliance & Risk: Support regulatory readiness (e.g., CMS, Joint Commission), audit needs, and policy alignment. Embed privacy/security controls, including sensitive record handling and audit trails. Contribute to ITIL-aligned incident, problem, change, and configuration management processes. Application Training RoleCurriculum Management: Design and implement customized training programs aligned with organizational strategy and operational goals Oversee maintenance, enhancement, and governance of the CareConnect curriculum Ensure curriculum accuracy, consistency, and alignment with organizational priorities Incorporate learner and stakeholder feedback into ongoing curriculum improvements Oversee the build, maintenance, and readiness of training environments Ensure clear and timely communication related to system releases and upgrades Request/Incident Management: Manage end user training related requests and incidents with professionalism and efficiency Evaluate, prioritize, assign, and resolve requests within established service expectations Document incidents and resolutions to support a comprehensive knowledge base Collaborate with IT and operational partners to identify trends and implement preventative improvements Refine support processes to enhance service quality and user experience Minimum Qualifications: Bachelor's Degree Additional Job Description: degree in computer science, Information Technology, Healthcare Administration, or a related field. Minimum of 5-7 years of experience in system analysis and support within a healthcare environment. In lieu of degree, 10+ years of experience in system analysis and support within a healthcare environment. SPECIALIZED KNOWLEDGE Required for Both Roles: Experience with Epic application(s) and healthcare workflows (clinical, revenue cycle or IT experience). Strong requirements gathering, workflow design, and testing skills. Familiarity with ITIL, change control, SDLC practices, system governance, and waterfall/agile project methodologies. Ability to communicate with clinical, operational stakeholders, and managed service providers and produce clear documentation. Proven track record of managing complex projects and leading cross-functional teams. Requirements for Application Training role: Epic Training Environment Build certified and 3+ years of experience 2 Epic Application Principal Trainer certifications Preferred for Application Build role: Current Epic Certification or Proficiency in one or more relevant module(s) (e.g., HB, PB, Cadence, Referrals, Orders, ClinDoc, Clarity). 3+ years of build Epic build and configuration experience Previous experience in a leadership or supervisory role. Experience with system integration, HL7, FHIR, and interface testing. Exposure to SQL/Clarity, Caboodle, SlicerDicer, or reporting tools (e.g., Radar, Reporting Workbench). Prior work in patient access, billing, coding, finance, or clinical operations (for respective modules). DESIRED ATTRIBUTES ITIL Foundation certification desired not required. Certifications in one or more Epic applications Experience in a large healthcare system or hospital setting. Experience with other healthcare applications and systems. Knowledge of healthcare regulations and compliance standards. Familiarity with cloud computing platforms (e.g., AWS, Azure). Experience with business intelligence and analytics tools. Advanced degree (Master's or higher) in a related field is a plus. Work Shift: Day Scheduled Weekly Hours : 40 Department IS Applications Join us! if your passion is to work in a caring environment if you believe that learning is a life-long process if you strive for excellence and want to be among the best in the healthcare industry Equal Employment Opportunity OhioHealth is an equal opportunity employer and fully supports and maintains compliance with all state, federal, and local regulations. OhioHealth does not discriminate against associates or applicants because of race, color, genetic information, religion, sex, sexual orientation, gender identity or expression, age, ancestry, national origin, veteran status, military status, pregnancy, disability, marital status, familial status, or other characteristics protected by law. Equal employment is extended to all person in all aspects of the associate-employer relationship including recruitment, hiring, training, promotion, transfer, compensation, discipline, reduction in staff, termination, assignment of benefits, and any other term or condition of employment Remote Work Disclaimer: Positions marked as remote are only eligible for work from Ohio.
Date Posted: 2026-06-30 Country: United States of America Location: US-MA-MARLBOROUGH-MA2 1001 Boston Post Rd BLDG 2 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 Raytheon Company, Managed by Collins Aerospace Collins Aerospace, an RTX company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio, and expertise to solve customers' toughest challenges and to meet the demands of a rapidly evolving global market. The Strategic Communications team is seeking an experienced Principal Systems Engineers in a role committed to creating creative and cost-effective solutions for our ground and airborne systems. As part of Collins Aerospace, Mission Systems organization, we specialize in developing advanced communication systems, ground and flight computers, sensors, cyber and software solutions, as well as providing integration of Mission Systems. As part of the Strategic Communications Department, the Systems Engineering department supports a variety of communications systems including SATCOM (including AEHF, EHF, X-Band, Ka-Band, Ku-Band, C-Band, and PTW), Line-of-Site (LOS) Radio Terminals and Secure Switching Networks. What You Will Do • Oversee the development of full lifecycle solutions from CONOPS to Validation • Act as a Subject Matter Expert within discipline with advanced to expert knowledge of work area • Oversee and perform lab activities including definition, setup, configuration management, and testing • Ensure Modeling, Hardware, and Software Interfaces utilize a scalable ontology • Oversee and support the Integration of Solutions within their target environment • Coach, review, and delegate work of lower-level professional • Contribute to the development of goals of the discipline and planning efforts (Cost and Schedule) • Influence others regarding policies, practices, and procedures • Manage moderately sized projects or processes • Manage the entrance and exit criteria of Design Reviews, Integration, Dry Run, and Formal Qualification Testing • Review, moderate and document major changes in systems or processes to solve difficult and often complex problems • Analyze and document system behaviors • Support system trade studies, requirements analysis, allocation to subsystems Sign-on Bonus Eligible Qualifications You Must Have • Strong integration and test experience including test procedure development, test execution, test reporting, and test automation • Knowledge of or application of Earned Value Management System (EVMS) • Proficient in tooling to include Microsoft products, or tasking boards (Jira, IBM EWM, etc.) • Active and transferable U.S. government issued SECRET security clearance is required prior to start date • U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience Qualifications We Prefer • Experience in Communication Radio and Systems: SATCOM, LOS/BLOS, AEHF, PTW, or V/UHF • Experience in Environmental Qualification Testing (EQT) • Proficient in tooling to include CAMEO, Rhapsody • Experience in proposal support including writing Basis of Estimates (BOEs) • Experience in System Level Integration, Verification, and Validation (IV&V) for ground based, ship, submarine, or airborne platforms • Experience in Virtual Machine design and deployment • Excellent communication skills (written, verbal, and presentation) and ability to effectively communicate with IPT leaders, hardware and software development engineers, specialty engineers, program managers, and our customers What We Offer • Medical, dental, and vision insurance • Three weeks of vacation for newly hired employees • Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option • Tuition reimbursement program • Student Loan Repayment Program • Life insurance and disability coverage • Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection • Birth, adoption, parental leave benefits • Ovia Health, fertility, and family planning • Adoption Assistance • Autism Benefit • Employee Assistance Plan, including up to 10 free counseling sessions • Healthy You Incentives, wellness rewards program • Doctor on Demand, virtual doctor visits • Bright Horizons, child and elder care services • Teladoc Medical Experts, second opinion program • This position is eligible for relocation assistance • And more! Learn More & Apply Now! Do you want to be a part of something bigger? A team whose impact stretches across the world, and even beyond? At Collins Aerospace, our Mission Systems team helps civilian, military and government customers complete their most complex missions - whatever and wherever they may be. Our customers depend on us for intelligent and secure communications, missionized systems for specialized aircraft and spacecraft and collaborative space solutions. By joining our team, you'll have your own critical part to play in ensuring our customer succeeds today while anticipating their needs for tomorrow. Are you up for the challenge? Join our mission today. Please ensure the role type (defined below) is appropriate for your needs before applying to this role. ONSITE: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other propel us all higher, again and again. Apply now and be part of the team that's redefining aerospace, every day. Employee Referral Eligible As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
08/07/2026
Full time
Date Posted: 2026-06-30 Country: United States of America Location: US-MA-MARLBOROUGH-MA2 1001 Boston Post Rd BLDG 2 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 Raytheon Company, Managed by Collins Aerospace Collins Aerospace, an RTX company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio, and expertise to solve customers' toughest challenges and to meet the demands of a rapidly evolving global market. The Strategic Communications team is seeking an experienced Principal Systems Engineers in a role committed to creating creative and cost-effective solutions for our ground and airborne systems. As part of Collins Aerospace, Mission Systems organization, we specialize in developing advanced communication systems, ground and flight computers, sensors, cyber and software solutions, as well as providing integration of Mission Systems. As part of the Strategic Communications Department, the Systems Engineering department supports a variety of communications systems including SATCOM (including AEHF, EHF, X-Band, Ka-Band, Ku-Band, C-Band, and PTW), Line-of-Site (LOS) Radio Terminals and Secure Switching Networks. What You Will Do • Oversee the development of full lifecycle solutions from CONOPS to Validation • Act as a Subject Matter Expert within discipline with advanced to expert knowledge of work area • Oversee and perform lab activities including definition, setup, configuration management, and testing • Ensure Modeling, Hardware, and Software Interfaces utilize a scalable ontology • Oversee and support the Integration of Solutions within their target environment • Coach, review, and delegate work of lower-level professional • Contribute to the development of goals of the discipline and planning efforts (Cost and Schedule) • Influence others regarding policies, practices, and procedures • Manage moderately sized projects or processes • Manage the entrance and exit criteria of Design Reviews, Integration, Dry Run, and Formal Qualification Testing • Review, moderate and document major changes in systems or processes to solve difficult and often complex problems • Analyze and document system behaviors • Support system trade studies, requirements analysis, allocation to subsystems Sign-on Bonus Eligible Qualifications You Must Have • Strong integration and test experience including test procedure development, test execution, test reporting, and test automation • Knowledge of or application of Earned Value Management System (EVMS) • Proficient in tooling to include Microsoft products, or tasking boards (Jira, IBM EWM, etc.) • Active and transferable U.S. government issued SECRET security clearance is required prior to start date • U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience Qualifications We Prefer • Experience in Communication Radio and Systems: SATCOM, LOS/BLOS, AEHF, PTW, or V/UHF • Experience in Environmental Qualification Testing (EQT) • Proficient in tooling to include CAMEO, Rhapsody • Experience in proposal support including writing Basis of Estimates (BOEs) • Experience in System Level Integration, Verification, and Validation (IV&V) for ground based, ship, submarine, or airborne platforms • Experience in Virtual Machine design and deployment • Excellent communication skills (written, verbal, and presentation) and ability to effectively communicate with IPT leaders, hardware and software development engineers, specialty engineers, program managers, and our customers What We Offer • Medical, dental, and vision insurance • Three weeks of vacation for newly hired employees • Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option • Tuition reimbursement program • Student Loan Repayment Program • Life insurance and disability coverage • Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection • Birth, adoption, parental leave benefits • Ovia Health, fertility, and family planning • Adoption Assistance • Autism Benefit • Employee Assistance Plan, including up to 10 free counseling sessions • Healthy You Incentives, wellness rewards program • Doctor on Demand, virtual doctor visits • Bright Horizons, child and elder care services • Teladoc Medical Experts, second opinion program • This position is eligible for relocation assistance • And more! Learn More & Apply Now! Do you want to be a part of something bigger? A team whose impact stretches across the world, and even beyond? At Collins Aerospace, our Mission Systems team helps civilian, military and government customers complete their most complex missions - whatever and wherever they may be. Our customers depend on us for intelligent and secure communications, missionized systems for specialized aircraft and spacecraft and collaborative space solutions. By joining our team, you'll have your own critical part to play in ensuring our customer succeeds today while anticipating their needs for tomorrow. Are you up for the challenge? Join our mission today. Please ensure the role type (defined below) is appropriate for your needs before applying to this role. ONSITE: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other propel us all higher, again and again. Apply now and be part of the team that's redefining aerospace, every day. Employee Referral Eligible As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
On-site at our Prince George, VA facility. This requisition is to support a new factory startup manufacturing large form-factor equipment. The product will be large (shipping container size), heavy (50+ tons), and complex. This position will be part of the core factory startup and onboarding team responsible for building the operations and manufacturing staff, fitting out the building, and creating the process flow/work instructions/etc. from the ground up. Skills to include: panel and point to point wire assembly, Medium Voltage, Low Voltage, and High Power Electronic assemblies. Test Engineer 2: Requires 2+ years of experience SUMMARY Under limited supervision designs, develops and maintains test procedures, tester hardware and software for electronic circuit board production. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. LEADERSHIP AND MANAGEMENT RESPONSIBILITIES: Recruitment and Retention: Recruit and interview Process Technicians. Communicate criteria to recruiters for Process Technician position candidates. Coach technicians in the interviewing/hiring process. Monitor team member turnover; identify key factors that can be improved; make improvements. Employee and Team Development: Identify individual and team strengths and development needs on an ongoing basis. Create and/or validate training curriculum in area of responsibility. Coach and mentor Process Technicians to deliver excellence to every internal and external customer. Performance Management: Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines, training documentation, attendance records, knowledge of operational roles and responsibilities, personal development goals). Solicit ongoing feedback from Assistant Test Engineering Manager, Workcell Manager (WCM), Business Unit Manager (BUM), peers and team member on team member's contribution to the Workcell team. Provide ongoing coaching and counseling to team member based on feedback. Express pride in staff and encourage them to feel good about their accomplishments. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of large teams and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. Communication: Provide communication forum for the exchange of ideas and information with the department. Organize verbal and written ideas clearly and use an appropriate business style. Ask questions; encourage input from team members. Assess communication style of individual team members and adapt own communication style accordingly. TECHNICAL MANAGEMENT RESPONSIBILITIES Review circuit board designs for testability requirements. Support manufacturing with failure analysis, tester debugging, reduction of intermittent failures and downtime of test equipment. Prepare recommendations for testing and documentation of procedures to be used from the product design phase through to initial production. Generate reports and analysis of test data, prepares documentation and recommendations. Review test equipment designs, data and RMA issues with customers regularly. Design, and direct engineering and technical personnel in fabrication of testing and test control apparatus and equipment. Direct and coordinate engineering activities concerned with development, procurement, installation, and calibration of instruments, equipment, and control devices required to test, record, and reduce test data. Determine conditions under which tests are to be conducted and sequences and phases of test operations. Direct and exercise control over operational, functional, and performance phases of tests. Perform moderately complex assignments of the engineering test function for standard and/or custom devices. Analyze and interpret test data and prepares technical reports for use by test engineering and management personnel. Develop or use computer software and hardware to conduct tests on machinery and equipment. Perform semi-routine technique development and maintenance, subject to established Jabil standards, including ISO and QS development standards. Provide training in new procedures to production testing staff. Adhere to all safety and health rules and regulations associated with this position and as directed by supervisor. Comply and follow all procedures within the company security policy. MINIMUM REQUIREMENTS Bachelors of Science in Electronics or Electrical Engineering from four-year college or university; and three to five years experience Minimum of 3 years of experience with medium/high-voltage electrical testing in a high-voltage manufacturing environment (preferred). Experience running and setting up HIPOT tests (dielectric and insulation testing); HIPOT certification preferred. Ability to ensure safe test operations and identify and address safety risks. Strong troubleshooting skills for systems and equipment. Experience creating documentation for test technicians and operators. Comprehensive understanding of high-voltage standard practices, including safe handling of high-voltage materials and equipment. Ability to identify issues that could compromise high-voltage system integrity. Demonstrated understanding of high-voltage and conductive properties, including arc flash and short-circuit hazards. Completion of relevant specialized training (e.g., OSHA, NFPA 70E, Arc Flash PPE, LOTO, high-voltage handling and grounding procedures). LANGUAGE SKILLS Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. MATHEMATICAL SKILLS Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. REASONING ABILITY Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The employee is frequently required to walk, and to lift and carry PC's and test equipment weighing up to 50 lbs. Specific vision abilities required by this job include close vision and use of computer monitor screens a great deal of time. WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Individual's primary workstation is located in the office area, with some time spent each day on the manufacturing floor. The noise level in this environment ranges from low to moderate. What Can Jabil Offer You? Along with growth, stability, and the opportunity to be challenged, Jabil offers a competitive benefits package that includes: Medical, Dental, Prescription Drug, and Vision Insurance with HRA and HSA options 401K Match Employee Stock Purchase Plan Paid Time Off Tuition Reimbursement Life, AD&D, and Disability Insurance Commuter Benefits Employee Assistance Program Pet Insurance Adoption Assistance Annual Merit Increases Community Volunteer Opportunities
08/07/2026
Full time
On-site at our Prince George, VA facility. This requisition is to support a new factory startup manufacturing large form-factor equipment. The product will be large (shipping container size), heavy (50+ tons), and complex. This position will be part of the core factory startup and onboarding team responsible for building the operations and manufacturing staff, fitting out the building, and creating the process flow/work instructions/etc. from the ground up. Skills to include: panel and point to point wire assembly, Medium Voltage, Low Voltage, and High Power Electronic assemblies. Test Engineer 2: Requires 2+ years of experience SUMMARY Under limited supervision designs, develops and maintains test procedures, tester hardware and software for electronic circuit board production. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. LEADERSHIP AND MANAGEMENT RESPONSIBILITIES: Recruitment and Retention: Recruit and interview Process Technicians. Communicate criteria to recruiters for Process Technician position candidates. Coach technicians in the interviewing/hiring process. Monitor team member turnover; identify key factors that can be improved; make improvements. Employee and Team Development: Identify individual and team strengths and development needs on an ongoing basis. Create and/or validate training curriculum in area of responsibility. Coach and mentor Process Technicians to deliver excellence to every internal and external customer. Performance Management: Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines, training documentation, attendance records, knowledge of operational roles and responsibilities, personal development goals). Solicit ongoing feedback from Assistant Test Engineering Manager, Workcell Manager (WCM), Business Unit Manager (BUM), peers and team member on team member's contribution to the Workcell team. Provide ongoing coaching and counseling to team member based on feedback. Express pride in staff and encourage them to feel good about their accomplishments. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of large teams and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. Communication: Provide communication forum for the exchange of ideas and information with the department. Organize verbal and written ideas clearly and use an appropriate business style. Ask questions; encourage input from team members. Assess communication style of individual team members and adapt own communication style accordingly. TECHNICAL MANAGEMENT RESPONSIBILITIES Review circuit board designs for testability requirements. Support manufacturing with failure analysis, tester debugging, reduction of intermittent failures and downtime of test equipment. Prepare recommendations for testing and documentation of procedures to be used from the product design phase through to initial production. Generate reports and analysis of test data, prepares documentation and recommendations. Review test equipment designs, data and RMA issues with customers regularly. Design, and direct engineering and technical personnel in fabrication of testing and test control apparatus and equipment. Direct and coordinate engineering activities concerned with development, procurement, installation, and calibration of instruments, equipment, and control devices required to test, record, and reduce test data. Determine conditions under which tests are to be conducted and sequences and phases of test operations. Direct and exercise control over operational, functional, and performance phases of tests. Perform moderately complex assignments of the engineering test function for standard and/or custom devices. Analyze and interpret test data and prepares technical reports for use by test engineering and management personnel. Develop or use computer software and hardware to conduct tests on machinery and equipment. Perform semi-routine technique development and maintenance, subject to established Jabil standards, including ISO and QS development standards. Provide training in new procedures to production testing staff. Adhere to all safety and health rules and regulations associated with this position and as directed by supervisor. Comply and follow all procedures within the company security policy. MINIMUM REQUIREMENTS Bachelors of Science in Electronics or Electrical Engineering from four-year college or university; and three to five years experience Minimum of 3 years of experience with medium/high-voltage electrical testing in a high-voltage manufacturing environment (preferred). Experience running and setting up HIPOT tests (dielectric and insulation testing); HIPOT certification preferred. Ability to ensure safe test operations and identify and address safety risks. Strong troubleshooting skills for systems and equipment. Experience creating documentation for test technicians and operators. Comprehensive understanding of high-voltage standard practices, including safe handling of high-voltage materials and equipment. Ability to identify issues that could compromise high-voltage system integrity. Demonstrated understanding of high-voltage and conductive properties, including arc flash and short-circuit hazards. Completion of relevant specialized training (e.g., OSHA, NFPA 70E, Arc Flash PPE, LOTO, high-voltage handling and grounding procedures). LANGUAGE SKILLS Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. MATHEMATICAL SKILLS Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. REASONING ABILITY Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The employee is frequently required to walk, and to lift and carry PC's and test equipment weighing up to 50 lbs. Specific vision abilities required by this job include close vision and use of computer monitor screens a great deal of time. WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Individual's primary workstation is located in the office area, with some time spent each day on the manufacturing floor. The noise level in this environment ranges from low to moderate. What Can Jabil Offer You? Along with growth, stability, and the opportunity to be challenged, Jabil offers a competitive benefits package that includes: Medical, Dental, Prescription Drug, and Vision Insurance with HRA and HSA options 401K Match Employee Stock Purchase Plan Paid Time Off Tuition Reimbursement Life, AD&D, and Disability Insurance Commuter Benefits Employee Assistance Program Pet Insurance Adoption Assistance Annual Merit Increases Community Volunteer Opportunities
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
Job Description UniTech seeks reliable, self-motivated, team players for positions at our facilities across the United States. There are several potential job openings. Visit our website for a list of locations UniTech is the world's leader in the supply of radiological protective clothing. Our customers include Nuclear Power Plants and the Department of Energy (DOE). Our facilities offer nuclear laundry and material decontamination services. Health Physics Technician The Health Physics Technician position involves a wide range of responsibilities to support all facets of operation. • Perform radiological surveys involving various instrumentation to monitor fixed and non-fixed contamination and radiation levels. • Survey plant work areas, support areas, perimeter boundaries and the environment. • Calibrate and perform daily quality control of handheld and laboratory instruments including automated gas flow proportional counting systems. Liquid scintillation counters and gamma spectroscopy at select locations. • Collect and analyze air samples at fixed and portable air sample locations. • Collect and analyze water samples and assist in the operation and maintenance of wastewater treatment systems. • Perform surveys to support the receipt and shipment of radioactive materials regulated as Hazardous Materials by the Department of Transportation (DOT) • Utilize various software packages to input data, evaluate results of analysis, print and maintain reports. • Calibrate and maintain specialized instrumentation including Automated Laundry Monitors (ALMs), personnel monitors, pipe monitors, respirator monitors, and a variety of specialized instrumentation manufactured for our specific needs. • Package, sample, inventory, and maintain records of radioactive waste. • Issue personnel, area, and environmental Thermoluminescent Dosimeter (TLDs) and Self Reading Personnel Dosimeters (SRPDs) and assist in the management of the dosimetry program. • Perform personnel in-vivo bioassays (chest counts). • Perform assays to release materials and equipment from radiological controls. • Support plant operations and special projects. Health Physics Technicians are candidates for internal promotion Qualifications Education: Associate's degree in health physics or nuclear engineering or a bachelor's degree in engineering, mathematics, or science curriculum. • Practical experience in radiological safety. • Able to perform the position responsibilities with reasonable accommodations. • Computer proficiency: Microsoft Word , Microsoft Excel , etc. • Able to learn custom software. • Shift work may be required. • Able to read, analyze, and interpret technical procedures and information. • Proficient in communication, verbally and in written reports. • Language: English required. Spanish and other languages are helpful. • Strong problem-solving skills. • Able to stand throughout an 8-hour shift. • Able to lift and carry up to 50 lbs. • Professional credential (or ability to achieve) desired: National Registry of Radiation Protection Technologists (NRRPT). About UniTech and UniFirst UniTech Services Group, Inc. is a wholly owned subsidiary of UniFirst Corporation. UniTech became the first licensed provider of radiological laundry services in the United States in 1957. UniTechs management team boasts over 250 years of experience in nuclear protective clothing, respiratory protection, nuclear laundry and materials decontamination. UniFirst is recognized on the Forbes "Platinum 400 - Best Big Companies" List. With over 14,000 employee Team Partners and more than 250 facilities throughout the United States, Canada, Mexico and Europe. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual based on race, color, gender, national origin, ancestry, religion, disability, age, or any other factor protected by antidiscrimination laws. Benefits include: • 401K with Company MatchProfit Sharing • Health Insurance, Dental, Vision • Employee Assistance Program • Life Insurance • Supplemental Life Insurance • Long Term Disability • Paid Vacation • Sick Time • Paid Holidays • Direct Payroll Deposit • Tuition Reimbursement • 30% Employee Discount • Employee Referral Program • And Much More UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. If you require an accommodation during any part of the application process due to a disability or medical condition, please contact us by email at or through our EthicsFirst portal at You may also call the EthicsFirst Hotline at to let us know the nature of your request. UniFirst Recruiters and/or representatives will not ask job seekers to provide personal financial information when submitting a job application. Please be vigilant as such requests for information may be fraudulent.
08/03/2026
Full time
Job Description UniTech seeks reliable, self-motivated, team players for positions at our facilities across the United States. There are several potential job openings. Visit our website for a list of locations UniTech is the world's leader in the supply of radiological protective clothing. Our customers include Nuclear Power Plants and the Department of Energy (DOE). Our facilities offer nuclear laundry and material decontamination services. Health Physics Technician The Health Physics Technician position involves a wide range of responsibilities to support all facets of operation. • Perform radiological surveys involving various instrumentation to monitor fixed and non-fixed contamination and radiation levels. • Survey plant work areas, support areas, perimeter boundaries and the environment. • Calibrate and perform daily quality control of handheld and laboratory instruments including automated gas flow proportional counting systems. Liquid scintillation counters and gamma spectroscopy at select locations. • Collect and analyze air samples at fixed and portable air sample locations. • Collect and analyze water samples and assist in the operation and maintenance of wastewater treatment systems. • Perform surveys to support the receipt and shipment of radioactive materials regulated as Hazardous Materials by the Department of Transportation (DOT) • Utilize various software packages to input data, evaluate results of analysis, print and maintain reports. • Calibrate and maintain specialized instrumentation including Automated Laundry Monitors (ALMs), personnel monitors, pipe monitors, respirator monitors, and a variety of specialized instrumentation manufactured for our specific needs. • Package, sample, inventory, and maintain records of radioactive waste. • Issue personnel, area, and environmental Thermoluminescent Dosimeter (TLDs) and Self Reading Personnel Dosimeters (SRPDs) and assist in the management of the dosimetry program. • Perform personnel in-vivo bioassays (chest counts). • Perform assays to release materials and equipment from radiological controls. • Support plant operations and special projects. Health Physics Technicians are candidates for internal promotion Qualifications Education: Associate's degree in health physics or nuclear engineering or a bachelor's degree in engineering, mathematics, or science curriculum. • Practical experience in radiological safety. • Able to perform the position responsibilities with reasonable accommodations. • Computer proficiency: Microsoft Word , Microsoft Excel , etc. • Able to learn custom software. • Shift work may be required. • Able to read, analyze, and interpret technical procedures and information. • Proficient in communication, verbally and in written reports. • Language: English required. Spanish and other languages are helpful. • Strong problem-solving skills. • Able to stand throughout an 8-hour shift. • Able to lift and carry up to 50 lbs. • Professional credential (or ability to achieve) desired: National Registry of Radiation Protection Technologists (NRRPT). About UniTech and UniFirst UniTech Services Group, Inc. is a wholly owned subsidiary of UniFirst Corporation. UniTech became the first licensed provider of radiological laundry services in the United States in 1957. UniTechs management team boasts over 250 years of experience in nuclear protective clothing, respiratory protection, nuclear laundry and materials decontamination. UniFirst is recognized on the Forbes "Platinum 400 - Best Big Companies" List. With over 14,000 employee Team Partners and more than 250 facilities throughout the United States, Canada, Mexico and Europe. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual based on race, color, gender, national origin, ancestry, religion, disability, age, or any other factor protected by antidiscrimination laws. Benefits include: • 401K with Company MatchProfit Sharing • Health Insurance, Dental, Vision • Employee Assistance Program • Life Insurance • Supplemental Life Insurance • Long Term Disability • Paid Vacation • Sick Time • Paid Holidays • Direct Payroll Deposit • Tuition Reimbursement • 30% Employee Discount • Employee Referral Program • And Much More UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. If you require an accommodation during any part of the application process due to a disability or medical condition, please contact us by email at or through our EthicsFirst portal at You may also call the EthicsFirst Hotline at to let us know the nature of your request. UniFirst Recruiters and/or representatives will not ask job seekers to provide personal financial information when submitting a job application. Please be vigilant as such requests for information may be fraudulent.
