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senior software engineer onsite
Systems Administrator III, Health Systems (Epic)
Kaiser Permanente Greensboro, North Carolina
Please note, this is a fully onsite position at our facility in Greensboro, NC. Technical Summary: The Senior Epic Systems Analyst III supports the Clinical Care and Patient Engagement Technologies organization by serving as a senior subject matter expert responsible for advanced analysis, design, configuration, implementation, and optimization of Epic applications. This role evaluates complex clinical and business requirements, translates them into scalable application solutions, and supports large projects, system implementations, and upgrades while ensuring alignment with organizational standards, Epic best practices, and regulatory requirements. Leveraging strong analytical and workflow design skills, the analyst identifies opportunities for improvement, enhances system functionality and user experience, and supports all phases of the application lifecycle-from requirements gathering and build to testing, implementation, optimization, and ongoing support. Working closely with clinical leaders, stakeholders, and cross-functional IT teams, the role acts as a trusted advisor to ensure the long-term stability, scalability, and effectiveness 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. Essential Responsibilities: Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines; following procedures and policies, and applying data and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate. Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback. Meets timelines to drive the delivery of appropriate, sustainable, and prompt solutions. 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. Supports stability, availability, and performance of enterprise systems (e.g., systems, applications, network, databases, storage, security) by monitoring systems to identify problems, trends, and opportunities for improvement. Assists technical and project team members to resolve system problems and application-specific issues. Escalates identified issues, risks or problems to lead administrators according to processes. Plans and performs complex system configuration. Supports communications with product users and suppliers to share information, identify opportunities, resolve problems, prioritize customer requirements, and maintain continuous improvement through customer feedback. Defines and tests maintenance and refresh activities. Participates in the installation, upgrade, or decommissioning of designated systems, products, and infrastructure. Assists with application-oriented administration and technical support for production and non-production environments. Supports vendor support activities, as appropriate. Recommends and executes performance tuning and optimization activities. Creates documentation of new and existing system configuration and procedural information, and reviews documentation of others. Minimum Qualifications: Minimum two (2) years experience working with EPIC or comparable health system software OR Minimum two (2) years scripting or programming experience. Bachelors degree in Computer Science, Engineering, Social Science, Education, Business, Health Care or related field and Minimum three (3) years working in IT or operations. Additional equivalent work experience may be substituted for the degree requirement.
08/07/2026
Full time
Please note, this is a fully onsite position at our facility in Greensboro, NC. Technical Summary: The Senior Epic Systems Analyst III supports the Clinical Care and Patient Engagement Technologies organization by serving as a senior subject matter expert responsible for advanced analysis, design, configuration, implementation, and optimization of Epic applications. This role evaluates complex clinical and business requirements, translates them into scalable application solutions, and supports large projects, system implementations, and upgrades while ensuring alignment with organizational standards, Epic best practices, and regulatory requirements. Leveraging strong analytical and workflow design skills, the analyst identifies opportunities for improvement, enhances system functionality and user experience, and supports all phases of the application lifecycle-from requirements gathering and build to testing, implementation, optimization, and ongoing support. Working closely with clinical leaders, stakeholders, and cross-functional IT teams, the role acts as a trusted advisor to ensure the long-term stability, scalability, and effectiveness 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. Essential Responsibilities: Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines; following procedures and policies, and applying data and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate. Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback. Meets timelines to drive the delivery of appropriate, sustainable, and prompt solutions. 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. Supports stability, availability, and performance of enterprise systems (e.g., systems, applications, network, databases, storage, security) by monitoring systems to identify problems, trends, and opportunities for improvement. Assists technical and project team members to resolve system problems and application-specific issues. Escalates identified issues, risks or problems to lead administrators according to processes. Plans and performs complex system configuration. Supports communications with product users and suppliers to share information, identify opportunities, resolve problems, prioritize customer requirements, and maintain continuous improvement through customer feedback. Defines and tests maintenance and refresh activities. Participates in the installation, upgrade, or decommissioning of designated systems, products, and infrastructure. Assists with application-oriented administration and technical support for production and non-production environments. Supports vendor support activities, as appropriate. Recommends and executes performance tuning and optimization activities. Creates documentation of new and existing system configuration and procedural information, and reviews documentation of others. Minimum Qualifications: Minimum two (2) years experience working with EPIC or comparable health system software OR Minimum two (2) years scripting or programming experience. Bachelors degree in Computer Science, Engineering, Social Science, Education, Business, Health Care or related field and Minimum three (3) years working in IT or operations. Additional equivalent work experience may be substituted for the degree requirement.
Systems Administrator III, Health Systems (Epic Tapestry, Referrals)
Kaiser Permanente Greensboro, North Carolina
Please note, this is a fully onsite position at our facility in Greensboro, NC. Technical Summary: The System Administrator III, 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 III, 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. Essential Responsibilities: Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines; following procedures and policies, and applying data and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate. Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback. Meets timelines to drive the delivery of appropriate, sustainable, and prompt solutions. 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. Supports stability, availability, and performance of enterprise systems (e.g., systems, applications, network, databases, storage, security) by monitoring systems to identify problems, trends, and opportunities for improvement. Assists technical and project team members to resolve system problems and application-specific issues. Escalates identified issues, risks or problems to lead administrators according to processes. Plans and performs complex system configuration. Supports communications with product users and suppliers to share information, identify opportunities, resolve problems, prioritize customer requirements, and maintain continuous improvement through customer feedback. Defines and tests maintenance and refresh activities. Participates in the installation, upgrade, or decommissioning of designated systems, products, and infrastructure. Assists with application-oriented administration and technical support for production and non-production environments. Supports vendor support activities, as appropriate. Recommends and executes performance tuning and optimization activities. Creates documentation of new and existing system configuration and procedural information, and reviews documentation of others. Minimum Qualifications: Minimum two (2) years experience working with EPIC or comparable health system software OR Minimum two (2) years scripting or programming experience. Bachelors degree in Computer Science, Engineering, Social Science, Education, Business, Health Care or related field and Minimum three (3) years working in IT or operations. Additional equivalent work experience may be substituted for the degree requirement.
08/07/2026
Full time
Please note, this is a fully onsite position at our facility in Greensboro, NC. Technical Summary: The System Administrator III, 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 III, 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. Essential Responsibilities: Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines; following procedures and policies, and applying data and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate. Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback. Meets timelines to drive the delivery of appropriate, sustainable, and prompt solutions. 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. Supports stability, availability, and performance of enterprise systems (e.g., systems, applications, network, databases, storage, security) by monitoring systems to identify problems, trends, and opportunities for improvement. Assists technical and project team members to resolve system problems and application-specific issues. Escalates identified issues, risks or problems to lead administrators according to processes. Plans and performs complex system configuration. Supports communications with product users and suppliers to share information, identify opportunities, resolve problems, prioritize customer requirements, and maintain continuous improvement through customer feedback. Defines and tests maintenance and refresh activities. Participates in the installation, upgrade, or decommissioning of designated systems, products, and infrastructure. Assists with application-oriented administration and technical support for production and non-production environments. Supports vendor support activities, as appropriate. Recommends and executes performance tuning and optimization activities. Creates documentation of new and existing system configuration and procedural information, and reviews documentation of others. Minimum Qualifications: Minimum two (2) years experience working with EPIC or comparable health system software OR Minimum two (2) years scripting or programming experience. Bachelors degree in Computer Science, Engineering, Social Science, Education, Business, Health Care or related field and Minimum three (3) years working in IT or operations. Additional equivalent work experience may be substituted for the degree requirement.
ManTech
Cyber Systems Engineer
ManTech Washington, Washington DC
MANTECH seeks a motivated, career and customer-oriented Cyber Systems Engineer to join our team! This is a hybrid position with two days a week onsite in Washington, D.C. Responsibilities include but are not limited to: Advise DHS program managers on planning and executing complex IT systems engineering activities, ensuring cybersecurity and cyber resilience are integrated throughout the program lifecycle. Support a wide range of programs from new software development, modernization in place, and integration of existing software systems, and non-IT programs that contain IT elements. Evaluate IT solution architectures for alignment with industry best practices, the NIST Risk Management Framework (RMF), and DHS policies (including DHS 4300A). Develop strategic technical recommendations and risk-management strategies by conducting technology maturity assessments, technical reviews, artifact analyses, and business process evaluations. Create and provide feedback on program plans, including operational and system requirements, technology roadmaps, conceptual architecture, and transition strategies. Conduct analytical studies to evaluate solution trade spaces, including formal trade studies, cost/performance trade analyses, and feasibility analyses. Participate as a team member in conducting independent Technical Assessments of Acquisition Programs as a Cyber SME by analyzing technical artifacts, identifying sources of technical risk, and assisting the program to develop and implement risk mitigation plans. Lead and participate in cyber activities such as Cyber Table Top (CTT) Exercises, Cooperative Vulnerability and Penetration Assessments (CVPAs), and Adversarial Assessments (AAs). Interfacing with Headquarters offices to communicate program status, risks, and issues. Minimum Qualifications: A Bachelor's degree and at least 7 years experience is required. Technical and/or Cybersecurity experience, such as evaluating the cybersecurity and cyber resilience of IT programs, conducting technological maturity assessments, conducting technical reviews, managing technical risk, and developing requirements. Experience developing and evaluating solution architectures and applying policies such as NIST RMF and DHS Policy. Excellent oral and written communication skills and ability to effectively collaborate in team environments. Preferred Qualifications: Experience leading cyber exercises such as CTTs, CVPAs, and AAs. DHS and/or DoW experience. Clearance Requirements: Must have a current/active TS/SCI clearance Must be willing and able to obtain and maintain a DHS Suitability prior to starting this position. Physical Requirements: Must be able to be in a stationary position more than 50% of the time. Must be able to communicate, converse, and exchange information with peers and senior personnel. Constantly operates a computer and other office productivity machinery, such as a computer.
08/07/2026
Full time
MANTECH seeks a motivated, career and customer-oriented Cyber Systems Engineer to join our team! This is a hybrid position with two days a week onsite in Washington, D.C. Responsibilities include but are not limited to: Advise DHS program managers on planning and executing complex IT systems engineering activities, ensuring cybersecurity and cyber resilience are integrated throughout the program lifecycle. Support a wide range of programs from new software development, modernization in place, and integration of existing software systems, and non-IT programs that contain IT elements. Evaluate IT solution architectures for alignment with industry best practices, the NIST Risk Management Framework (RMF), and DHS policies (including DHS 4300A). Develop strategic technical recommendations and risk-management strategies by conducting technology maturity assessments, technical reviews, artifact analyses, and business process evaluations. Create and provide feedback on program plans, including operational and system requirements, technology roadmaps, conceptual architecture, and transition strategies. Conduct analytical studies to evaluate solution trade spaces, including formal trade studies, cost/performance trade analyses, and feasibility analyses. Participate as a team member in conducting independent Technical Assessments of Acquisition Programs as a Cyber SME by analyzing technical artifacts, identifying sources of technical risk, and assisting the program to develop and implement risk mitigation plans. Lead and participate in cyber activities such as Cyber Table Top (CTT) Exercises, Cooperative Vulnerability and Penetration Assessments (CVPAs), and Adversarial Assessments (AAs). Interfacing with Headquarters offices to communicate program status, risks, and issues. Minimum Qualifications: A Bachelor's degree and at least 7 years experience is required. Technical and/or Cybersecurity experience, such as evaluating the cybersecurity and cyber resilience of IT programs, conducting technological maturity assessments, conducting technical reviews, managing technical risk, and developing requirements. Experience developing and evaluating solution architectures and applying policies such as NIST RMF and DHS Policy. Excellent oral and written communication skills and ability to effectively collaborate in team environments. Preferred Qualifications: Experience leading cyber exercises such as CTTs, CVPAs, and AAs. DHS and/or DoW experience. Clearance Requirements: Must have a current/active TS/SCI clearance Must be willing and able to obtain and maintain a DHS Suitability prior to starting this position. Physical Requirements: Must be able to be in a stationary position more than 50% of the time. Must be able to communicate, converse, and exchange information with peers and senior personnel. Constantly operates a computer and other office productivity machinery, such as a computer.
ManTech
Senior Systems Engineer
ManTech Chantilly, Virginia
MANTECH seeks a motivated, career and customer-oriented Senior Systems Engineer to join our team in Chantilly, VA. This is an onsite position. Responsibilities include but are not limited to: Provide Tier III IT Systems support across enterprise technologies, including VMware vCenter, Horizon View, Site Recovery Manager, HP Blade Servers, HP SANs, HPAC Secure Printing, Active Directory, Group Policies, Certificate Services, DHCP, DNS, and Microsoft Windows Operating Systems. Diagnose and resolve complex performance, security, and technical challenges across supported infrastructure platforms. Perform requirements analysis, gathering, and integration for core system platforms while collaborating on project teams to package and deploy production releases. Author Standard Operating Procedures (SOPs) for repetitive tasks and participate in ITIL Service Lifecycle processes, including submitting Change Requests. Investigate and resolve operational issues in coordination with technical personnel, while providing mentorship and guidance to junior Systems Engineers. Support system maintenance and unplanned service outages after normal duty hours (nights and weekends) on occasion. Perform up to 10% local travel within the DC Metro area as required by program requirements. Minimum Qualifications: Bachelor's degree and 5+ years of systems engineering experience, or an Associates degree with 8 years of systems engineering experience, or a High School diploma with 11 years of systems engineering experience can be substituted for a bachelor's degree DoD 8570 IAT Level II Certification, ex., Security+ IAT Level III certification ex. SecurityX, CASP+ required within 6 months of hire DoD 8570 Computing Environment Certification required within 6 months of hire, ex., MCSA, VCP, or equivalent Experience with Microsoft Windows 2008/2012/2016/2019 Servers; Microsoft Windows 10; administering Microsoft Exchange, Active Directory, and workstation and server hardware; administering Microsoft Office 2010/2016; basic networking including DHCP/TCPIP Experience with Microsoft Windows Systems, HP SANs, or VMware products Preferred Qualifications: Microsoft Windows systems experience including DNS, Group Policy, and PKI; deploying workstation images and Thin/Zero clients; and Administering vSphere, Horizon View, data backup, and antivirus software Experience applying security best practices from DISA and/or vendors Experience using a Service Desk ticketing system, such as Remedy or ServiceNow ITIL Foundations certification Scripting experience Clearance Requirements: Must have a current or active TS/SCI and be willing and able to obtain a polygraph Physical Requirements: The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.
08/07/2026
Full time
MANTECH seeks a motivated, career and customer-oriented Senior Systems Engineer to join our team in Chantilly, VA. This is an onsite position. Responsibilities include but are not limited to: Provide Tier III IT Systems support across enterprise technologies, including VMware vCenter, Horizon View, Site Recovery Manager, HP Blade Servers, HP SANs, HPAC Secure Printing, Active Directory, Group Policies, Certificate Services, DHCP, DNS, and Microsoft Windows Operating Systems. Diagnose and resolve complex performance, security, and technical challenges across supported infrastructure platforms. Perform requirements analysis, gathering, and integration for core system platforms while collaborating on project teams to package and deploy production releases. Author Standard Operating Procedures (SOPs) for repetitive tasks and participate in ITIL Service Lifecycle processes, including submitting Change Requests. Investigate and resolve operational issues in coordination with technical personnel, while providing mentorship and guidance to junior Systems Engineers. Support system maintenance and unplanned service outages after normal duty hours (nights and weekends) on occasion. Perform up to 10% local travel within the DC Metro area as required by program requirements. Minimum Qualifications: Bachelor's degree and 5+ years of systems engineering experience, or an Associates degree with 8 years of systems engineering experience, or a High School diploma with 11 years of systems engineering experience can be substituted for a bachelor's degree DoD 8570 IAT Level II Certification, ex., Security+ IAT Level III certification ex. SecurityX, CASP+ required within 6 months of hire DoD 8570 Computing Environment Certification required within 6 months of hire, ex., MCSA, VCP, or equivalent Experience with Microsoft Windows 2008/2012/2016/2019 Servers; Microsoft Windows 10; administering Microsoft Exchange, Active Directory, and workstation and server hardware; administering Microsoft Office 2010/2016; basic networking including DHCP/TCPIP Experience with Microsoft Windows Systems, HP SANs, or VMware products Preferred Qualifications: Microsoft Windows systems experience including DNS, Group Policy, and PKI; deploying workstation images and Thin/Zero clients; and Administering vSphere, Horizon View, data backup, and antivirus software Experience applying security best practices from DISA and/or vendors Experience using a Service Desk ticketing system, such as Remedy or ServiceNow ITIL Foundations certification Scripting experience Clearance Requirements: Must have a current or active TS/SCI and be willing and able to obtain a polygraph Physical Requirements: The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.
Systems Administrator III, Health Systems (Epic MyChart)
Kaiser Permanente Greensboro, North Carolina
Please note, this is a fully onsite position at our facility in Greensboro, NC. Technical Summary: The System Administrator III, Health Systems (Epic MyChart) 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 III, Health Systems (Epic MyChart) 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. Essential Responsibilities: Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines; following procedures and policies, and applying data and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate. Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback. Meets timelines to drive the delivery of appropriate, sustainable, and prompt solutions. 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. Supports stability, availability, and performance of enterprise systems (e.g., systems, applications, network, databases, storage, security) by monitoring systems to identify problems, trends, and opportunities for improvement. Assists technical and project team members to resolve system problems and application-specific issues. Escalates identified issues, risks or problems to lead administrators according to processes. Plans and performs complex system configuration. Supports communications with product users and suppliers to share information, identify opportunities, resolve problems, prioritize customer requirements, and maintain continuous improvement through customer feedback. Defines and tests maintenance and refresh activities. Participates in the installation, upgrade, or decommissioning of designated systems, products, and infrastructure. Assists with application-oriented administration and technical support for production and non-production environments. Supports vendor support activities, as appropriate. Recommends and executes performance tuning and optimization activities. Creates documentation of new and existing system configuration and procedural information, and reviews documentation of others. Minimum Qualifications: Minimum two (2) years experience working with EPIC or comparable health system software OR Minimum two (2) years scripting or programming experience. Bachelors degree in Computer Science, Engineering, Social Science, Education, Business, Health Care or related field and Minimum three (3) years working in IT or operations. Additional equivalent work experience may be substituted for the degree requirement.
08/06/2026
Full time
Please note, this is a fully onsite position at our facility in Greensboro, NC. Technical Summary: The System Administrator III, Health Systems (Epic MyChart) 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 III, Health Systems (Epic MyChart) 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. Essential Responsibilities: Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines; following procedures and policies, and applying data and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate. Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback. Meets timelines to drive the delivery of appropriate, sustainable, and prompt solutions. 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. Supports stability, availability, and performance of enterprise systems (e.g., systems, applications, network, databases, storage, security) by monitoring systems to identify problems, trends, and opportunities for improvement. Assists technical and project team members to resolve system problems and application-specific issues. Escalates identified issues, risks or problems to lead administrators according to processes. Plans and performs complex system configuration. Supports communications with product users and suppliers to share information, identify opportunities, resolve problems, prioritize customer requirements, and maintain continuous improvement through customer feedback. Defines and tests maintenance and refresh activities. Participates in the installation, upgrade, or decommissioning of designated systems, products, and infrastructure. Assists with application-oriented administration and technical support for production and non-production environments. Supports vendor support activities, as appropriate. Recommends and executes performance tuning and optimization activities. Creates documentation of new and existing system configuration and procedural information, and reviews documentation of others. Minimum Qualifications: Minimum two (2) years experience working with EPIC or comparable health system software OR Minimum two (2) years scripting or programming experience. Bachelors degree in Computer Science, Engineering, Social Science, Education, Business, Health Care or related field and Minimum three (3) years working in IT or operations. Additional equivalent work experience may be substituted for the degree requirement.
AI Platform Engineer
MassMutual New York, New York
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
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
MassMutual Boston, Massachusetts
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
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
MassMutual Springfield, Massachusetts
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
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
MassMutual Boston, Massachusetts
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
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
MassMutual New York, New York
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
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
MassMutual Springfield, Massachusetts
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
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.
Raytheon
Senior Systems Integration and Test Engineer
Raytheon Tucson, Arizona
Date Posted: 2026-07-16 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. In the Systems Engineering and Test Capabilities (SETC) Center, we work across the entire Systems Engineering lifecycle from Concept Development, Architecture, Requirements Development, Systems Design, Integration & Test, Platform Integration, Flight Test, Deployment, and Sustainment. Our center is seeking Senior Engineers who will focus on Hardware/Software Integration, Verification, Flight Test, and Platform Integration. In this evolving role you will be hands-on, supporting hardware buildups, hardware and software integration, Design Verification Tests, Environmental Tests, Qualification Tests, and the associated data analysis ultimately leading to the successful completion of test events. This team focuses on putting our systems together, testing them in the lab/field, measuring and analyzing performance, and making sure our products work the first time and every time. To accomplish this, we develop plans and procedures, troubleshoot and evaluate system functions, conduct tests, analyze data, and work together with our customers. The SETC organization based in Tucson, Arizona supports Effector programs ranging from the seabed to space, including but not limited to Ship Launched Effectors like Standard Missile and Tomahawk , Surface Launched Effectors like Javelin and Coyote , Air Launched Effectors like AMRAAM and StormBreaker , Advanced Technologies like Hypersonics, and space solutions. What You Will Do Perform integration, verification, and testing of Effector systems to ensure the system under test performs according to specifications and/or requirements. You will perform one or more of the following: Support Testing Efforts: Develop and implement test plans, procedures, integration, and verification documentation in both simulated and real-world environments and then perform and/or execute the test Hardware Buildup and Integration: Support the unique buildup of test assets which includes understanding the requirements, physically completing the build, documenting the build, and certifying the unit is ready for the next stage Testing: Plan and execute tests at different levels of hardware builds (from Circuit Card Assemblies to final product). Tests include but are not limited to Electromagnetic Interference, Live Battery Tests, RF Tests, electrical operational testing, physical properties such as Weight, Center of Gravity, Thermal, and Vibration Platform Integration: Plan and execute the integration efforts of Effector Systems with customer subsystems and/or launch platforms in the lab or in the field to include a wide variety of military aircraft, ships, and ground-based launchers Flight Tests: Plan and execute Test Missions which require robust test planning, logistics, safety, security, preparing the test asset, telemetry monitoring, all while continuously working with the customer, military, and test range Troubleshoot and Analyze: Identify and resolve hardware, software, and system issues through detailed data analysis and debugging along with supporting failure reporting, analysis, corrective action and/or fault tree analysis Perform Data Analysis: Collect and analyze data to ensure system performance and provide detailed reports of the results Document and Communicate: Create/modify documentation in support of reviews associated with formal testing, which may include Test Readiness Review (TRR), Consent to Ship (CTS), and Test Data Review (TDR) packages Collaborate: Interface and coordinate across the different company functions and with the customers, suppliers, and/or sub-contractors Lead: Lead a small team in integration and test activities Support Missions: Support occasional travel to conduct tests at test sites, vendor facilities, and customer locations as needed, typically one- or two-week durations, up to 25% of the year Qualifications You Must Have Typically requires a bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) discipline and a minimum of 5 (five) years of relevant experience Experience in systems integration and test in a lab or field environment Planning or executing Platform Integration or Flight Test Missions Experience collecting and evaluating data to diagnose and solve technical issues Qualifications We Prefer Leadership: Experience leading teams in integration and test activities Military platforms: Experience working on military platforms, such as aircraft, ship-based platforms, and ground-based platforms Technical documentation: Experience generating technical documentation such as trade studies, test plans, test procedures, or technical reports Presentations: Experience managing and presenting technical data to stakeholders and customer communities in design reviews and technical interchange meetings Learn More & Apply Now! (Optional) This position requires you to work on site in Tucson, Arizona. 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. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
08/06/2026
Full time
Date Posted: 2026-07-16 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. In the Systems Engineering and Test Capabilities (SETC) Center, we work across the entire Systems Engineering lifecycle from Concept Development, Architecture, Requirements Development, Systems Design, Integration & Test, Platform Integration, Flight Test, Deployment, and Sustainment. Our center is seeking Senior Engineers who will focus on Hardware/Software Integration, Verification, Flight Test, and Platform Integration. In this evolving role you will be hands-on, supporting hardware buildups, hardware and software integration, Design Verification Tests, Environmental Tests, Qualification Tests, and the associated data analysis ultimately leading to the successful completion of test events. This team focuses on putting our systems together, testing them in the lab/field, measuring and analyzing performance, and making sure our products work the first time and every time. To accomplish this, we develop plans and procedures, troubleshoot and evaluate system functions, conduct tests, analyze data, and work together with our customers. The SETC organization based in Tucson, Arizona supports Effector programs ranging from the seabed to space, including but not limited to Ship Launched Effectors like Standard Missile and Tomahawk , Surface Launched Effectors like Javelin and Coyote , Air Launched Effectors like AMRAAM and StormBreaker , Advanced Technologies like Hypersonics, and space solutions. What You Will Do Perform integration, verification, and testing of Effector systems to ensure the system under test performs according to specifications and/or requirements. You will perform one or more of the following: Support Testing Efforts: Develop and implement test plans, procedures, integration, and verification documentation in both simulated and real-world environments and then perform and/or execute the test Hardware Buildup and Integration: Support the unique buildup of test assets which includes understanding the requirements, physically completing the build, documenting the build, and certifying the unit is ready for the next stage Testing: Plan and execute tests at different levels of hardware builds (from Circuit Card Assemblies to final product). Tests include but are not limited to Electromagnetic Interference, Live Battery Tests, RF Tests, electrical operational testing, physical properties such as Weight, Center of Gravity, Thermal, and Vibration Platform Integration: Plan and execute the integration efforts of Effector Systems with customer subsystems and/or launch platforms in the lab or in the field to include a wide variety of military aircraft, ships, and ground-based launchers Flight Tests: Plan and execute Test Missions which require robust test planning, logistics, safety, security, preparing the test asset, telemetry monitoring, all while continuously working with the customer, military, and test range Troubleshoot and Analyze: Identify and resolve hardware, software, and system issues through detailed data analysis and debugging along with supporting failure reporting, analysis, corrective action and/or fault tree analysis Perform Data Analysis: Collect and analyze data to ensure system performance and provide detailed reports of the results Document and Communicate: Create/modify documentation in support of reviews associated with formal testing, which may include Test Readiness Review (TRR), Consent to Ship (CTS), and Test Data Review (TDR) packages Collaborate: Interface and coordinate across the different company functions and with the customers, suppliers, and/or sub-contractors Lead: Lead a small team in integration and test activities Support Missions: Support occasional travel to conduct tests at test sites, vendor facilities, and customer locations as needed, typically one- or two-week durations, up to 25% of the year Qualifications You Must Have Typically requires a bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) discipline and a minimum of 5 (five) years of relevant experience Experience in systems integration and test in a lab or field environment Planning or executing Platform Integration or Flight Test Missions Experience collecting and evaluating data to diagnose and solve technical issues Qualifications We Prefer Leadership: Experience leading teams in integration and test activities Military platforms: Experience working on military platforms, such as aircraft, ship-based platforms, and ground-based platforms Technical documentation: Experience generating technical documentation such as trade studies, test plans, test procedures, or technical reports Presentations: Experience managing and presenting technical data to stakeholders and customer communities in design reviews and technical interchange meetings Learn More & Apply Now! (Optional) This position requires you to work on site in Tucson, Arizona. 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. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Raytheon
Senior. Principal Platform DevSecOps Engineer (Onsite)
Raytheon Aurora, Colorado
Date Posted: 2026-06-24 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 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: TS/SCI with Polygraph Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. We have an exciting opportunity for a Senior. Principal Platform DevSecOps Engineer, supporting one of our premier programs in the business unit where you will be working with a cross-disciplinary team of Platform engineers and Systems Administrators leading the industry in ground systems solutions. This role entails leading the design, development, implementation, integration, and sustainment of a cloud-based compute, network, and storage infrastructure. The position also focuses on platform modernization by incorporating emerging technologies to optimize performance and efficiency. Utilizing DevOps/DevSecOps methodologies, tools, and automation, the role is critical in streamlining processes, enhancing collaboration, and accelerating software release cycles. As part of the team, you will contribute to the development and operational environments of a large-scale program that supports a critical national asset, ensuring its reliability and innovation in line with mission objectives. Note This position will be filled onsite at the RTX Facility in Aurora CO. What You Will Do Platform Development and Optimization: You will Contribute to the architecture, design, integration, and support of platform and infrastructure environments across build, integration & test, and production stages. Focus on ensuring these environments are optimized for performance, reliability, and scalability within cloud-based ecosystems Best Practices and Automation: You will Utilize industry and company best practices to enhance scalability, consistency, and infrastructure efficiency, while reducing deployment time and automating configuration management processes Cross-Team Collaboration: You will Work closely with software engineers, data scientists, and other agile development teams to design and implement resilient and scalable platform solutions Security and Compliance Integration: You will Embed security and compliance measures into the platform, including services like encryption and access management Operational Support: you will Provide ongoing operational support to maintain the stability, functionality, and performance of the platform Qualifications You Must Have Typically requires BS/BA Degree in Science, Technology Engineering Math (STEM) in Computer Science, Computer Engineering, Information Technology or Physics and a minimum 10 years of related work experience Experience in the installation, configuration, and maintenance of RedHat Linux operating systems Experience with automation frameworks such as Terraform, Ansible, and Chef to streamline infrastructure deployment and management Experience programming or scripting languages such as Python and Bash for automation, configuration, and system operations Active and Current TS/SCI with CI Poly security clearance is required on day 1. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience designing, implementing, and integrating cloud-based systems on infrastructure platforms like AWS Experience in analyzing performance and troubleshooting applications and infrastructure services on Linux-based operating systems Strong infrastructure background managing and troubleshooting servers, networks, storage, and virtualization technologies DevSecOps Framework: Proficiency in developing, testing, and delivering applications within a DevSecOps framework Experience with cloud platforms, preferably AWS, including designing, deploying, and securing cloud services AWS Services Proficiency: Hands-on experience with AWS services such as EC2, EKS, S3, CloudWatch, IAM, and VPC, with a focus on secure and scalable deployments Proficiency in designing, implementing, and integrating platform infrastructure services using containerization technologies such as Kubernetes, Docker, and/or Podman Hands-on experience in deploying, configuring, and supporting CI/CD pipeline tools such as Jira, Confluence, Jenkins, Artifactory, GitLab and Helm Familiarity with security scanning tools like Nessus COTS/FOSS Products: Experience in installation, configuration, and integration of Commercial Off-The-Shelf (COTS) and Free and Open-Source Software (FOSS) products DoD 8570 IAT Level II Certification: Must meet Department of Defense 8570 Information Assurance Technical (IAT) Level II requirements, such as holding a Security+ CE or equivalent certification. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location: Aurora, CO: We are RTX 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 132,400 USD - 251,600 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 . click apply for full job details
08/06/2026
Full time
Date Posted: 2026-06-24 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 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: TS/SCI with Polygraph Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. We have an exciting opportunity for a Senior. Principal Platform DevSecOps Engineer, supporting one of our premier programs in the business unit where you will be working with a cross-disciplinary team of Platform engineers and Systems Administrators leading the industry in ground systems solutions. This role entails leading the design, development, implementation, integration, and sustainment of a cloud-based compute, network, and storage infrastructure. The position also focuses on platform modernization by incorporating emerging technologies to optimize performance and efficiency. Utilizing DevOps/DevSecOps methodologies, tools, and automation, the role is critical in streamlining processes, enhancing collaboration, and accelerating software release cycles. As part of the team, you will contribute to the development and operational environments of a large-scale program that supports a critical national asset, ensuring its reliability and innovation in line with mission objectives. Note This position will be filled onsite at the RTX Facility in Aurora CO. What You Will Do Platform Development and Optimization: You will Contribute to the architecture, design, integration, and support of platform and infrastructure environments across build, integration & test, and production stages. Focus on ensuring these environments are optimized for performance, reliability, and scalability within cloud-based ecosystems Best Practices and Automation: You will Utilize industry and company best practices to enhance scalability, consistency, and infrastructure efficiency, while reducing deployment time and automating configuration management processes Cross-Team Collaboration: You will Work closely with software engineers, data scientists, and other agile development teams to design and implement resilient and scalable platform solutions Security and Compliance Integration: You will Embed security and compliance measures into the platform, including services like encryption and access management Operational Support: you will Provide ongoing operational support to maintain the stability, functionality, and performance of the platform Qualifications You Must Have Typically requires BS/BA Degree in Science, Technology Engineering Math (STEM) in Computer Science, Computer Engineering, Information Technology or Physics and a minimum 10 years of related work experience Experience in the installation, configuration, and maintenance of RedHat Linux operating systems Experience with automation frameworks such as Terraform, Ansible, and Chef to streamline infrastructure deployment and management Experience programming or scripting languages such as Python and Bash for automation, configuration, and system operations Active and Current TS/SCI with CI Poly security clearance is required on day 1. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience designing, implementing, and integrating cloud-based systems on infrastructure platforms like AWS Experience in analyzing performance and troubleshooting applications and infrastructure services on Linux-based operating systems Strong infrastructure background managing and troubleshooting servers, networks, storage, and virtualization technologies DevSecOps Framework: Proficiency in developing, testing, and delivering applications within a DevSecOps framework Experience with cloud platforms, preferably AWS, including designing, deploying, and securing cloud services AWS Services Proficiency: Hands-on experience with AWS services such as EC2, EKS, S3, CloudWatch, IAM, and VPC, with a focus on secure and scalable deployments Proficiency in designing, implementing, and integrating platform infrastructure services using containerization technologies such as Kubernetes, Docker, and/or Podman Hands-on experience in deploying, configuring, and supporting CI/CD pipeline tools such as Jira, Confluence, Jenkins, Artifactory, GitLab and Helm Familiarity with security scanning tools like Nessus COTS/FOSS Products: Experience in installation, configuration, and integration of Commercial Off-The-Shelf (COTS) and Free and Open-Source Software (FOSS) products DoD 8570 IAT Level II Certification: Must meet Department of Defense 8570 Information Assurance Technical (IAT) Level II requirements, such as holding a Security+ CE or equivalent certification. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location: Aurora, CO: We are RTX 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 132,400 USD - 251,600 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 . click apply for full job details
Boeing
Software Engineer (Associate, Experienced or Senior)
Boeing Daytona Beach, Florida
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 currently seeking multiple Software Engineers (Associate/Experienced/Senior) to join the Mission Systems Software team located in Daytona Beach, FL. We are seeking a highly motivated Software Engineer to design and implement new capabilities in the Operational Flight Program (OFP) for both the United States Air Force (USAF) and international customers. The candidate will join one of the multi-discipline Agile scrum teams that develop, integrate, and maintain a wide range of aircraft functionalities. Software capabilities will be developed for the Advanced Display Core Processor II (ADCP II), the brains of the Eagle. The successful candidate will implement and test new cutting-edge capabilities and integrate them with a variety of other aircraft subsystems. At Boeing, our software engineers use their expertise to dream up next generation software capabilities for some amazing aerospace platforms. Boeing encourages its engineers to move up as technical leads as well as gives them opportunities to grow into management. Join us and you will have the unique opportunity to develop real-time embedded software for the most sophisticated military platforms in the world. Across Commercial, Defense and Global Services, our teams are developing software for next generation trainers; tactical fighter aircraft; helicopters; unmanned air vehicles; space, satellite, and weapons systems; state of the art flight simulators; cybersecurity solutions, and much more. We work in a casual but professional environment with multi-disciplined teams of engineers that take pride in developing, integrating, testing and delivering innovative solutions. There is long-term potential for career growth into technical leadership or management positions and we value the curiosity, tenacity and imagination our engineers bring to our teams each day. Position Responsibilities: Develops, documents and maintains architectures, requirements, algorithms, interfaces and designs for software systems Develops and maintains code and integrates software components into a fully functional software system Develops software verification plans, test procedures and test environments, executing the test procedures and documenting test results to ensure software system requirements are met Executes and documents software research and development projects Serves as a subject matter expert for software domains, system-specific issues, processes and regulations Troubleshoots software issues Works under general direction This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Daytona Beach, FL. Basic Qualifications (Required Skills/ Experience): Bachelor Degree Active Secret Clearance 2+ years of experience in C, C++, C#, Python, Java, or Ada 2+ years of experience developing, documenting, and maintaining architectures, algorithms, interfaces, and designs for software systems Preferred Qualifications (Desired Skills/Experience): Level 3: 5 or more years' related work experience or an equivalent combination of education and experience Level 4: 9 or more years' related work experience or an equivalent combination of education and experience Agile/SAFe development experience Experience with DevOps tools, such as GitLab (CI/CD), Git Bash, Gradle, Jira, Jenkins, and Artifactory Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels Experience developing embedded real-time software Experience working with Real-time Operating Systems (RTOS) Travel: less than 10%. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: 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: $77,000.00 - $137,000.00 Summary pay range for Experienced: $98,000.00 - $173,000.00 Summary pay range for Senior: $124,000.00 - $220,000.00 Applications for this position will be accepted until Aug. 29, 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 Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) 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.
08/06/2026
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 currently seeking multiple Software Engineers (Associate/Experienced/Senior) to join the Mission Systems Software team located in Daytona Beach, FL. We are seeking a highly motivated Software Engineer to design and implement new capabilities in the Operational Flight Program (OFP) for both the United States Air Force (USAF) and international customers. The candidate will join one of the multi-discipline Agile scrum teams that develop, integrate, and maintain a wide range of aircraft functionalities. Software capabilities will be developed for the Advanced Display Core Processor II (ADCP II), the brains of the Eagle. The successful candidate will implement and test new cutting-edge capabilities and integrate them with a variety of other aircraft subsystems. At Boeing, our software engineers use their expertise to dream up next generation software capabilities for some amazing aerospace platforms. Boeing encourages its engineers to move up as technical leads as well as gives them opportunities to grow into management. Join us and you will have the unique opportunity to develop real-time embedded software for the most sophisticated military platforms in the world. Across Commercial, Defense and Global Services, our teams are developing software for next generation trainers; tactical fighter aircraft; helicopters; unmanned air vehicles; space, satellite, and weapons systems; state of the art flight simulators; cybersecurity solutions, and much more. We work in a casual but professional environment with multi-disciplined teams of engineers that take pride in developing, integrating, testing and delivering innovative solutions. There is long-term potential for career growth into technical leadership or management positions and we value the curiosity, tenacity and imagination our engineers bring to our teams each day. Position Responsibilities: Develops, documents and maintains architectures, requirements, algorithms, interfaces and designs for software systems Develops and maintains code and integrates software components into a fully functional software system Develops software verification plans, test procedures and test environments, executing the test procedures and documenting test results to ensure software system requirements are met Executes and documents software research and development projects Serves as a subject matter expert for software domains, system-specific issues, processes and regulations Troubleshoots software issues Works under general direction This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Daytona Beach, FL. Basic Qualifications (Required Skills/ Experience): Bachelor Degree Active Secret Clearance 2+ years of experience in C, C++, C#, Python, Java, or Ada 2+ years of experience developing, documenting, and maintaining architectures, algorithms, interfaces, and designs for software systems Preferred Qualifications (Desired Skills/Experience): Level 3: 5 or more years' related work experience or an equivalent combination of education and experience Level 4: 9 or more years' related work experience or an equivalent combination of education and experience Agile/SAFe development experience Experience with DevOps tools, such as GitLab (CI/CD), Git Bash, Gradle, Jira, Jenkins, and Artifactory Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels Experience developing embedded real-time software Experience working with Real-time Operating Systems (RTOS) Travel: less than 10%. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: 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: $77,000.00 - $137,000.00 Summary pay range for Experienced: $98,000.00 - $173,000.00 Summary pay range for Senior: $124,000.00 - $220,000.00 Applications for this position will be accepted until Aug. 29, 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 Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
AI Platform Engineer
MassMutual Springfield, Massachusetts
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer
MassMutual Boston, Massachusetts
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer
MassMutual New York, New York
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
CNC Programmer - 1st shift, Onsite Only
JARP Industries Inc Schofield, Wisconsin
Job Description Job Description Description: CNC Programmer (1st shift, Full-Time, Onsite only) $32.00 - $36.50/hour Schedule: Monday-Friday, 7:00am-4:00pm POSITION SUMMARY: Under the direction of the Manufacturing Engineer / CNC Programming Team Lead, the experienced CNC Programmer is to assist with the development and provide programming as assigned for computerized machine processes in manufacturing. ESSENTIAL DUTIES AND RESPONSIBILITIES: 1. Write machining programs for new parts as assigned by the Senior Programmer. 2. Maintain facilities on routings for most current machines. 3. Determines machining process from established drawings/prints. 4. Write machining programs for parts with CAM software. 5. Decide which cutting tools and speeds and feeds are appropriate, considering the design specifications, materials. 6. Run simulation tests. 7. Create set-up sheets for programmed parts. 8. Evaluate programs and determine if improvements can be made to the code to increase efficiency, quality and safety. 9. Review ECN's for possible program changes. Requirements: EDUCATION AND EXPERIENCE: Programming education from a vocational/technical school or 2 years of equivalent experience What You'll Love About Working Here We offer a full, comprehensive benefits package designed to support you and your family, including: Paid Time Off (PTO) 10 paid holidays Medical, dental, and vision insurance HSA and FSA options Company-paid life and AD&D insurance Company-paid Short-term disability (STD) Company-paid Long-term disability (LTD) Employee Assistance Program (EAP) 401k Benefit eligibility begins on the first day of the month following your hire date PI6c37026a9cbf-1864
08/04/2026
Full time
Job Description Job Description Description: CNC Programmer (1st shift, Full-Time, Onsite only) $32.00 - $36.50/hour Schedule: Monday-Friday, 7:00am-4:00pm POSITION SUMMARY: Under the direction of the Manufacturing Engineer / CNC Programming Team Lead, the experienced CNC Programmer is to assist with the development and provide programming as assigned for computerized machine processes in manufacturing. ESSENTIAL DUTIES AND RESPONSIBILITIES: 1. Write machining programs for new parts as assigned by the Senior Programmer. 2. Maintain facilities on routings for most current machines. 3. Determines machining process from established drawings/prints. 4. Write machining programs for parts with CAM software. 5. Decide which cutting tools and speeds and feeds are appropriate, considering the design specifications, materials. 6. Run simulation tests. 7. Create set-up sheets for programmed parts. 8. Evaluate programs and determine if improvements can be made to the code to increase efficiency, quality and safety. 9. Review ECN's for possible program changes. Requirements: EDUCATION AND EXPERIENCE: Programming education from a vocational/technical school or 2 years of equivalent experience What You'll Love About Working Here We offer a full, comprehensive benefits package designed to support you and your family, including: Paid Time Off (PTO) 10 paid holidays Medical, dental, and vision insurance HSA and FSA options Company-paid life and AD&D insurance Company-paid Short-term disability (STD) Company-paid Long-term disability (LTD) Employee Assistance Program (EAP) 401k Benefit eligibility begins on the first day of the month following your hire date PI6c37026a9cbf-1864
ManTech
Senior Systems Analyst
ManTech Arlington, Virginia
MANTECH seeks a motivated, career and customer-oriented Senior Systems Analyst to join our team in Arlington, VA. The position is onsite. Responsibilities include but are not limited to: Providing Tier II IT Systems support on a wide range of technologies, including VMware vCenter, Horizon View, Site Recovery Manager, SolarWinds, Cisco Catalyst Center (DNAC), GEMOne, HP SANs, Certificate Services, DHCP, DNS, Active Directory, Group Policies and Microsoft Windows Operating Systems Diagnosing and resolving the performance, security, and/or technical challenges related to the platforms listed above Writing Standard Operating Procedures (SOPs) to accomplish repetitive tasks Participating in processes throughout all phases of the ITIL Service Lifecycle, including submitting Change Requests Performing requirements analysis, requirements gathering, and integration for all platforms listed above Providing direction and guidance to less-experienced Systems Engineers Investigating and resolving operational problems in conjunction with other engineering and technical personnel Working on project teams responsible for engineering and packaging releases to integrate within the customer's production IT environment Ability to travel locally up to 10% Minimum Qualifications: Bachelor's degree and 5+ years of Systems Support and/or Administration experience; an Associate's degree with 7+ years or a High School Diploma with 11+ years of Systems Support/Administration experience may be accepted in lieu of degree DoD 8570 IAT Level II/8140 level expert Certification required, ex, Security+ DoD 8570 computing environment certification required within 6 months of hire, ex., MCSA, VCP, or equivalent Experience with Microsoft Windows Systems, specifically: Microsoft Windows 2008/2012/2016/2019 Servers; Microsoft Windows 10; administering Microsoft Exchange, Active Directory, and workstation and server hardware; administering Microsoft Office 2010/2016; administering DNS, Group Policy, and PKI; administering vSphere, Horizon View, data backup, and antivirus software; basic networking including DHCP/TCPIP Experience with CISCO networking devices and TACLANE encryption devices Working knowledge of VMWare, and CISCO systems Preferred Qualifications: Experience applying security best practices from DISA and/or vendors Strong background with the Microsoft Office suite Basic networking expertise Experience using a Service Desk ticketing system, such as Remedy or ServiceNow ITIL Foundations certification Scripting experience or willingness to learn Clearance Requirements: Must have a current and active TS/SCI clearance, and be willing and able to obtain a polygraph Physical Requirements: The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.
08/04/2026
Full time
MANTECH seeks a motivated, career and customer-oriented Senior Systems Analyst to join our team in Arlington, VA. The position is onsite. Responsibilities include but are not limited to: Providing Tier II IT Systems support on a wide range of technologies, including VMware vCenter, Horizon View, Site Recovery Manager, SolarWinds, Cisco Catalyst Center (DNAC), GEMOne, HP SANs, Certificate Services, DHCP, DNS, Active Directory, Group Policies and Microsoft Windows Operating Systems Diagnosing and resolving the performance, security, and/or technical challenges related to the platforms listed above Writing Standard Operating Procedures (SOPs) to accomplish repetitive tasks Participating in processes throughout all phases of the ITIL Service Lifecycle, including submitting Change Requests Performing requirements analysis, requirements gathering, and integration for all platforms listed above Providing direction and guidance to less-experienced Systems Engineers Investigating and resolving operational problems in conjunction with other engineering and technical personnel Working on project teams responsible for engineering and packaging releases to integrate within the customer's production IT environment Ability to travel locally up to 10% Minimum Qualifications: Bachelor's degree and 5+ years of Systems Support and/or Administration experience; an Associate's degree with 7+ years or a High School Diploma with 11+ years of Systems Support/Administration experience may be accepted in lieu of degree DoD 8570 IAT Level II/8140 level expert Certification required, ex, Security+ DoD 8570 computing environment certification required within 6 months of hire, ex., MCSA, VCP, or equivalent Experience with Microsoft Windows Systems, specifically: Microsoft Windows 2008/2012/2016/2019 Servers; Microsoft Windows 10; administering Microsoft Exchange, Active Directory, and workstation and server hardware; administering Microsoft Office 2010/2016; administering DNS, Group Policy, and PKI; administering vSphere, Horizon View, data backup, and antivirus software; basic networking including DHCP/TCPIP Experience with CISCO networking devices and TACLANE encryption devices Working knowledge of VMWare, and CISCO systems Preferred Qualifications: Experience applying security best practices from DISA and/or vendors Strong background with the Microsoft Office suite Basic networking expertise Experience using a Service Desk ticketing system, such as Remedy or ServiceNow ITIL Foundations certification Scripting experience or willingness to learn Clearance Requirements: Must have a current and active TS/SCI clearance, and be willing and able to obtain a polygraph Physical Requirements: The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.
AI Platform Engineer
MassMutual New York, New York
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

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