Please note, this position is designated as flexible, which means the selected candidate may be required to report to the assigned office in Greensboro, NC at least part of the time each week. Technical Summary: The Cloud Platform Engineering team provides support for public cloud services in Azure. This includes consulting, onboarding, application success management, platform operations, product ownership, FinOps and new service enablement. We enable and support secure and resilient usage of Public Cloud across KP application, analytics, and platform teams. This position is project facing and will interact with internal KP teams, platform engineering, operations and vendors to enable delivery of required product capabilities in the data analytics space, driving product for Databricks and providing success management across Azure platform service consumers from project inception through go-live. Additional duties include: Responsible for early engagement and architecture consulting support of Azure Platform capabilities Pro-actively engages with application teams, engineering, operations, and vendors to drive product capability delivery Advocate for application teams, supporting roadmap alignment for delivery of new cloud capabilities Supports applications as a trusted advisor from project intake to go-live Drives schedule alignment and owns delivery of platform environments per agreed upon application needs Job Summary: This senior level individual contributor is primarily responsible for serving as the lead technical expert on project teams, contributing to technical direction for varying technical solutions, and ensuring IT systems are effectively utilized. Essential Responsibilities: Conducts or oversees business-specific projects by applying deep expertise in subject area; promoting adherence to all procedures and policies; developing work plans to meet business priorities and deadlines; determining and carrying out processes and methodologies; coordinating and delegating resources to accomplish organizational goals; partnering internally and externally to make effective business decisions; solving complex problems; escalating issues or risks, as appropriate; monitoring progress and results; recognizing and capitalizing on improvement opportunities; evaluating recommendations made; and influencing the completion of project tasks by others. Practices self-leadership and promotes learning in others by building relationships with cross-functional stakeholders; communicating information and providing advice to drive projects forward; influencing team members within assigned unit; listening and responding to, seeking, and addressing performance feedback; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership and mentoring junior team members; creating and executing plans to capitalize on strengths and improve opportunity areas; and adapting to and learning from change, difficulties, and feedback. Develops requirements, or leads a team of IT consultants in the development of requirements for complex or specialized process or system solutions which may span multiple business domains by partnering with stakeholders and appropriate IT teams (for example, Solutions Delivery, Infrastructure, Enterprise Architecture). Leverages multiple business requirements gathering methodologies to identify business, functional, and non-functional requirements (for example, SMART) across the enterprise. Leads and oversees the development and documentation of comprehensive business cases to assess the costs, benefits, ROI, and Total Cost of Ownership (TCO) of complex solution proposals. Provides insight, guidance, and recommendations throughout the evolution of applications, systems, and/or processes to a desired future state by maintaining and leveraging a comprehensive understanding of how current processes impact business operations across the enterprise. Maps current state against future state processes. Defines the impact of requirements on upstream and downstream solution components. Provides insight and influence to senior management and business leaders on how to integrate requirements with current systems and business processes across the enterprise. Reviews, evaluates, and prioritizes value gaps and opportunities for process enhancements or efficiencies. Influences solution design by providing insight and consultation at design sessions with IT teams to help translate requirements into workable business solutions. Recommends and advocates for additional data and/or services needed to address key business issues related to process or solutions design. Participates in evaluating third-party vendors as directed. Drives continuous process improvement by leading the development, implementation, and maintenance of standardized tools, templates, and processes across the enterprise. Recommends and advocates for regional and national process improvements which align with sustainable best practices, and the strategic and tactical goals of the business. Minimum Qualifications: Bachelors degree in Business Administration, Computer Science, CIS or related field and Minimum eight (8) years experience in IT consulting, business analysis, or a related field. Additional equivalent work experience may be substituted for the degree requirement.
08/06/2026
Full time
Please note, this position is designated as flexible, which means the selected candidate may be required to report to the assigned office in Greensboro, NC at least part of the time each week. Technical Summary: The Cloud Platform Engineering team provides support for public cloud services in Azure. This includes consulting, onboarding, application success management, platform operations, product ownership, FinOps and new service enablement. We enable and support secure and resilient usage of Public Cloud across KP application, analytics, and platform teams. This position is project facing and will interact with internal KP teams, platform engineering, operations and vendors to enable delivery of required product capabilities in the data analytics space, driving product for Databricks and providing success management across Azure platform service consumers from project inception through go-live. Additional duties include: Responsible for early engagement and architecture consulting support of Azure Platform capabilities Pro-actively engages with application teams, engineering, operations, and vendors to drive product capability delivery Advocate for application teams, supporting roadmap alignment for delivery of new cloud capabilities Supports applications as a trusted advisor from project intake to go-live Drives schedule alignment and owns delivery of platform environments per agreed upon application needs Job Summary: This senior level individual contributor is primarily responsible for serving as the lead technical expert on project teams, contributing to technical direction for varying technical solutions, and ensuring IT systems are effectively utilized. Essential Responsibilities: Conducts or oversees business-specific projects by applying deep expertise in subject area; promoting adherence to all procedures and policies; developing work plans to meet business priorities and deadlines; determining and carrying out processes and methodologies; coordinating and delegating resources to accomplish organizational goals; partnering internally and externally to make effective business decisions; solving complex problems; escalating issues or risks, as appropriate; monitoring progress and results; recognizing and capitalizing on improvement opportunities; evaluating recommendations made; and influencing the completion of project tasks by others. Practices self-leadership and promotes learning in others by building relationships with cross-functional stakeholders; communicating information and providing advice to drive projects forward; influencing team members within assigned unit; listening and responding to, seeking, and addressing performance feedback; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership and mentoring junior team members; creating and executing plans to capitalize on strengths and improve opportunity areas; and adapting to and learning from change, difficulties, and feedback. Develops requirements, or leads a team of IT consultants in the development of requirements for complex or specialized process or system solutions which may span multiple business domains by partnering with stakeholders and appropriate IT teams (for example, Solutions Delivery, Infrastructure, Enterprise Architecture). Leverages multiple business requirements gathering methodologies to identify business, functional, and non-functional requirements (for example, SMART) across the enterprise. Leads and oversees the development and documentation of comprehensive business cases to assess the costs, benefits, ROI, and Total Cost of Ownership (TCO) of complex solution proposals. Provides insight, guidance, and recommendations throughout the evolution of applications, systems, and/or processes to a desired future state by maintaining and leveraging a comprehensive understanding of how current processes impact business operations across the enterprise. Maps current state against future state processes. Defines the impact of requirements on upstream and downstream solution components. Provides insight and influence to senior management and business leaders on how to integrate requirements with current systems and business processes across the enterprise. Reviews, evaluates, and prioritizes value gaps and opportunities for process enhancements or efficiencies. Influences solution design by providing insight and consultation at design sessions with IT teams to help translate requirements into workable business solutions. Recommends and advocates for additional data and/or services needed to address key business issues related to process or solutions design. Participates in evaluating third-party vendors as directed. Drives continuous process improvement by leading the development, implementation, and maintenance of standardized tools, templates, and processes across the enterprise. Recommends and advocates for regional and national process improvements which align with sustainable best practices, and the strategic and tactical goals of the business. Minimum Qualifications: Bachelors degree in Business Administration, Computer Science, CIS or related field and Minimum eight (8) years experience in IT consulting, business analysis, or a related field. Additional equivalent work experience may be substituted for the degree requirement.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. TheBoeing Company is seeking AssociateSystems Engineers to join one of our St. Louis, MO (Berkeley, Hazelwood, Saint Charles) based teams. Our St. Louis based teams are responsible for development, production, trainers, and sustainment for some of the most advanced defense and weapon systems in the world - including, but not limited to: Fighters/Tactical (F-47, F-15, F/A-18, F-22, & T-7A), Autonomous Systems (MQ-25), Precision Engagement Systems (JDAM, SDB, etc), and other advanced proprietary systems (Phantom Works) and platforms (AH-64, P-8, C-17, etc.). Our teams are currently hiring a broad range of Associate Systems Engineers in the following disciplines: Systems Architecture, Requirements and Interfaces Definition Systems Integration, Verification, & Validation Reliability, Maintainability, & System Health Human Factors & Ergonomics Operations / Systems Analysis Flight Crew Operations Integrations Crew Station Design & Integration Position Responsibilities: Contribute to systems engineering efforts on new development, production, and/or sustainment programs, ensuring alignment with program goals and objectives Work with teams across disciplines to write and keep system requirements, interfaces, verification, and test criteria up to date Perform analyses for affordability, safety, reliability, maintainability, testability, human factors, survivability, vulnerability, security, and product assurance Support program design reviews and technical assessments Track and update requirements, risks/issues/opportunities, tools, and technology readiness Help adopt and use modern systems engineering methods (for example, Model-Based Systems Engineering) This position is expected to be 100% onsite (no hybrid or remote options). The selected candidate will be required to work onsite at one of the listed location options. Travel may be required; Domestically and/or Internationally depending on business needs. This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required Special Program Access or other Government Access Requirements may be required for these positions Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 2 or more years' related engineering experience Preferred Qualifications (Desired Skills/Experience): Active U.S. Security Clearance Prior Systems Engineering experience (i.e. system design, functional decomposition, requirements development, analysis, verification, and validation) Experience with Aircraft, Mission Systems and/or Weapon System development Experience with verification and/or certification efforts (including supporting military safety critical and/or mission critical system hardware and software certification) Experience collaborating with multi-discipline teams to support technical program reviews Experience with Model Based Systems Engineering (MBSE) tools, such as Cameo, MSOSA or similar Systems Modeling Language (SysML)-compatible tool for systems architecture and model development Technical understanding and experience with any of the following: DOORS, Cadece/Pspice, Python, C#, C++, JavaScript, Visual Studio, Subversion, Azure DevOps, Git, CAFTA, ReliaSoft or FaultTree+ 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. 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: Level 2: $91,800 - $124,200 The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Applications for this position will be accepted until Aug. 17, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
08/06/2026
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. TheBoeing Company is seeking AssociateSystems Engineers to join one of our St. Louis, MO (Berkeley, Hazelwood, Saint Charles) based teams. Our St. Louis based teams are responsible for development, production, trainers, and sustainment for some of the most advanced defense and weapon systems in the world - including, but not limited to: Fighters/Tactical (F-47, F-15, F/A-18, F-22, & T-7A), Autonomous Systems (MQ-25), Precision Engagement Systems (JDAM, SDB, etc), and other advanced proprietary systems (Phantom Works) and platforms (AH-64, P-8, C-17, etc.). Our teams are currently hiring a broad range of Associate Systems Engineers in the following disciplines: Systems Architecture, Requirements and Interfaces Definition Systems Integration, Verification, & Validation Reliability, Maintainability, & System Health Human Factors & Ergonomics Operations / Systems Analysis Flight Crew Operations Integrations Crew Station Design & Integration Position Responsibilities: Contribute to systems engineering efforts on new development, production, and/or sustainment programs, ensuring alignment with program goals and objectives Work with teams across disciplines to write and keep system requirements, interfaces, verification, and test criteria up to date Perform analyses for affordability, safety, reliability, maintainability, testability, human factors, survivability, vulnerability, security, and product assurance Support program design reviews and technical assessments Track and update requirements, risks/issues/opportunities, tools, and technology readiness Help adopt and use modern systems engineering methods (for example, Model-Based Systems Engineering) This position is expected to be 100% onsite (no hybrid or remote options). The selected candidate will be required to work onsite at one of the listed location options. Travel may be required; Domestically and/or Internationally depending on business needs. This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required Special Program Access or other Government Access Requirements may be required for these positions Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 2 or more years' related engineering experience Preferred Qualifications (Desired Skills/Experience): Active U.S. Security Clearance Prior Systems Engineering experience (i.e. system design, functional decomposition, requirements development, analysis, verification, and validation) Experience with Aircraft, Mission Systems and/or Weapon System development Experience with verification and/or certification efforts (including supporting military safety critical and/or mission critical system hardware and software certification) Experience collaborating with multi-discipline teams to support technical program reviews Experience with Model Based Systems Engineering (MBSE) tools, such as Cameo, MSOSA or similar Systems Modeling Language (SysML)-compatible tool for systems architecture and model development Technical understanding and experience with any of the following: DOORS, Cadece/Pspice, Python, C#, C++, JavaScript, Visual Studio, Subversion, Azure DevOps, Git, CAFTA, ReliaSoft or FaultTree+ 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. 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: Level 2: $91,800 - $124,200 The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Applications for this position will be accepted until Aug. 17, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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. A leading global aerospace company and top U.S. exporter, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. Our U.S. and global workforce and supplier base drive innovation, economic opportunity, sustainability and community impact. Boeing is committed to fostering a culture based on our core values of safety, quality and integrity. Boeing is focused on providing and exploring opportunities to enhance the Systems Engineering workforce within Government Training Engineering, work locations to include Hazelwood, MO or Berkeley, MO. This includes, but is not limited to, Government Training products within our Air Dominance (AD), Mobility, Surveillance and Bombers (MS&B) and Vertical Lift portfolios. Example products within the portfolios include: Fighters (F-15 & F/A-18), T-7A Trainers, MQ-25, F-47, P-8, Apache and others. Our teams are currently hiring for a broad range of experienced Systems Engineering disciplines including Experienced and Lead Level Analysts. Position Responsibilities: Actively leads or supports hardware/software integration activities Coordinate efforts between multiple engineering disciplines (e.g., software, hardware, requirements, testing, etc.) Develop software load images for installation onto training devices Network system integration Technical troubleshooting of network systems including PCs, switches, and routers Designing and troubleshooting Operating System (Windows, Redhat, Server, other) configurations Operating System administration and domain integration Collaborate on approaches to implement cybersecurity compliance Perform issue resolution, root cause analysis, and implementation of corrective actions for hardware and/or software Define Requirements and Verification for networking infrastructure Writing cold start procedures for network systems, to include PC Basic Input/Output System (BIOS) definition and Setup settings Support formal testing events Buildup, integration and test of training devices for final delivery at customer's site This position is expected to be 100% onsite. The selected candidate will be required to work on-site at one of the listed location options 10% Travel may be required; Domestically and/or Internationally depending on business needs 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). Special Program Access or other Government Access Requirements are mandatory for this position. Basic Qualifications (Required Skills/Experience): 3+ years of experience with network systems architecture 3+ years of experience with information system security Experience with Operating System configuration Experience with one (or more) of the following: Hardware/Software Integration, File Servers, Computational Systems, Networking Systems, Operating Systems (Windows and/or Linux) and Scripting Preferred Qualifications (Desired Skills/Experience): Level 4: 5 or more years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) 3+ years of System Integration Experience: Operating System Installation Basic Input/Output System (BIOS) definition and Setup Network Switch Configuration and Domain Setup Product Security and/or Cybersecurity compliance experience Understanding of Network Security standards Experience implementing Product Security measures CompTIA Security+ certification Familiarity with Agile workflow management tools & processes such as Jira and Confluence 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. 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. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Experienced (Level 3): $99,450- $134,550 Summary Pay Range Lead (Level 4): $122,400- $165,600 Potential signing bonus for eligible/qualified external candidates Applications for this position will be accepted until Aug. 10, 2026 Relocation This position offers relocation based on candidate eligibility. 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. A leading global aerospace company and top U.S. exporter, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. Our U.S. and global workforce and supplier base drive innovation, economic opportunity, sustainability and community impact. Boeing is committed to fostering a culture based on our core values of safety, quality and integrity. Boeing is focused on providing and exploring opportunities to enhance the Systems Engineering workforce within Government Training Engineering, work locations to include Hazelwood, MO or Berkeley, MO. This includes, but is not limited to, Government Training products within our Air Dominance (AD), Mobility, Surveillance and Bombers (MS&B) and Vertical Lift portfolios. Example products within the portfolios include: Fighters (F-15 & F/A-18), T-7A Trainers, MQ-25, F-47, P-8, Apache and others. Our teams are currently hiring for a broad range of experienced Systems Engineering disciplines including Experienced and Lead Level Analysts. Position Responsibilities: Actively leads or supports hardware/software integration activities Coordinate efforts between multiple engineering disciplines (e.g., software, hardware, requirements, testing, etc.) Develop software load images for installation onto training devices Network system integration Technical troubleshooting of network systems including PCs, switches, and routers Designing and troubleshooting Operating System (Windows, Redhat, Server, other) configurations Operating System administration and domain integration Collaborate on approaches to implement cybersecurity compliance Perform issue resolution, root cause analysis, and implementation of corrective actions for hardware and/or software Define Requirements and Verification for networking infrastructure Writing cold start procedures for network systems, to include PC Basic Input/Output System (BIOS) definition and Setup settings Support formal testing events Buildup, integration and test of training devices for final delivery at customer's site This position is expected to be 100% onsite. The selected candidate will be required to work on-site at one of the listed location options 10% Travel may be required; Domestically and/or Internationally depending on business needs 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). Special Program Access or other Government Access Requirements are mandatory for this position. Basic Qualifications (Required Skills/Experience): 3+ years of experience with network systems architecture 3+ years of experience with information system security Experience with Operating System configuration Experience with one (or more) of the following: Hardware/Software Integration, File Servers, Computational Systems, Networking Systems, Operating Systems (Windows and/or Linux) and Scripting Preferred Qualifications (Desired Skills/Experience): Level 4: 5 or more years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) 3+ years of System Integration Experience: Operating System Installation Basic Input/Output System (BIOS) definition and Setup Network Switch Configuration and Domain Setup Product Security and/or Cybersecurity compliance experience Understanding of Network Security standards Experience implementing Product Security measures CompTIA Security+ certification Familiarity with Agile workflow management tools & processes such as Jira and Confluence 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. 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. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Experienced (Level 3): $99,450- $134,550 Summary Pay Range Lead (Level 4): $122,400- $165,600 Potential signing bonus for eligible/qualified external candidates Applications for this position will be accepted until Aug. 10, 2026 Relocation This position offers relocation based on candidate eligibility. 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.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for an Experienced Systems Engineer - Product Owner to join our Government Vehicle Health Management Systems (GVHMS) team in Hazelwood, MO. This role will primarily support a Proprietary program as well as other platforms in the GVHMS portfolio as required. This team develops, fields and supports aircraft support systems for the F/A-18, E/A-18, F-15, T7 and MQ-25 aircraft platforms. The system acquires and manages aircraft health and usage data, performs health and usage assessment, updates aircraft configuration and recommends maintenance actions. The team is looking for a highly motivated systems engineer to develop requirements, perform integration activities, manage project budget, and take on the role of Product Owner (PO) on various projects. This role requires interaction with internal and external stakeholders to ensure software products are developed that interact successfully to support customer needs. The ability to maintain and develop plans/schedules and to monitor and report schedule performance is required. Good oral and written communications are essential to success in this position. This role will work closely with the software development team, the software test team, other product owners, and the Chief Engineer on the team. This position will also require occasional domestic and international travel as required to ensure successful implementation of the system at customer sites. Position Responsibilities: Develop and maintain product roadmaps and system lifecycle plans Develop, document, and verify requirements Develop project schedules and track performance Develop and organize work items for the software team Be responsible for the integration of the components of the GVHMS system to successfully meet customer requirements Coordinate with the customer on a regular basis Document team plans and status, develop meeting agendas and presentations Analyze process compliance and actively work on improvements This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Basic Qualifications (Required Skills/Experience): Bachelors Degree Ability to Obtain U.S. Secret- Interim Pre-Start & Final Post Start 5+ years of experience have in systems engineering (requirements definition, allocation, verification, architecture design and trade design) 3+ years of experience building stakeholder and customer relationships 3+ years of experience leading or managing projects and/or teams Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor's Degree and 9+ years of directly related work experience OR 13+ years of related, relevant experience Experience of Agile Development Excellent communication skills and ability to lead by influence Experience with Model Based Systems Engineering (MBSE) Experience with Earned Value Management (EVM) 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 (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Potential signing bonus for eligible/qualified external candidates. Summary Pay Range for Experienced (Level 3): $112,200 - $151,800 Applications for this position will be accepted until Aug. 21, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim U.S. Secret Clearance Pre-Start and final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
08/06/2026
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 looking for an Experienced Systems Engineer - Product Owner to join our Government Vehicle Health Management Systems (GVHMS) team in Hazelwood, MO. This role will primarily support a Proprietary program as well as other platforms in the GVHMS portfolio as required. This team develops, fields and supports aircraft support systems for the F/A-18, E/A-18, F-15, T7 and MQ-25 aircraft platforms. The system acquires and manages aircraft health and usage data, performs health and usage assessment, updates aircraft configuration and recommends maintenance actions. The team is looking for a highly motivated systems engineer to develop requirements, perform integration activities, manage project budget, and take on the role of Product Owner (PO) on various projects. This role requires interaction with internal and external stakeholders to ensure software products are developed that interact successfully to support customer needs. The ability to maintain and develop plans/schedules and to monitor and report schedule performance is required. Good oral and written communications are essential to success in this position. This role will work closely with the software development team, the software test team, other product owners, and the Chief Engineer on the team. This position will also require occasional domestic and international travel as required to ensure successful implementation of the system at customer sites. Position Responsibilities: Develop and maintain product roadmaps and system lifecycle plans Develop, document, and verify requirements Develop project schedules and track performance Develop and organize work items for the software team Be responsible for the integration of the components of the GVHMS system to successfully meet customer requirements Coordinate with the customer on a regular basis Document team plans and status, develop meeting agendas and presentations Analyze process compliance and actively work on improvements This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Basic Qualifications (Required Skills/Experience): Bachelors Degree Ability to Obtain U.S. Secret- Interim Pre-Start & Final Post Start 5+ years of experience have in systems engineering (requirements definition, allocation, verification, architecture design and trade design) 3+ years of experience building stakeholder and customer relationships 3+ years of experience leading or managing projects and/or teams Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor's Degree and 9+ years of directly related work experience OR 13+ years of related, relevant experience Experience of Agile Development Excellent communication skills and ability to lead by influence Experience with Model Based Systems Engineering (MBSE) Experience with Earned Value Management (EVM) 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 (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Potential signing bonus for eligible/qualified external candidates. Summary Pay Range for Experienced (Level 3): $112,200 - $151,800 Applications for this position will be accepted until Aug. 21, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim U.S. Secret Clearance Pre-Start and final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
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. A leading global aerospace company and top U.S. exporter, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. Our U.S. and global workforce and supplier base drive innovation, economic opportunity, sustainability and community impact. Boeing is committed to fostering a culture based on our core values of safety, quality and integrity. Boeing is focused on providing and exploring opportunities to enhance the Systems Engineering workforce within Government Training Engineering, work locations to include Hazelwood, MO or Berkeley, MO. This includes, but is not limited to, Government Training products within our Air Dominance (AD), Mobility, Surveillance and Bombers (MS&B) and Vertical Lift portfolios. Example products within the portfolios include: Fighters (F-15 & F/A-18), T-7A Trainers, MQ-25, F-47, P-8, Apache and others. Our teams are currently hiring for a broad range of experienced Systems Engineering disciplines including Experienced and Lead Levels. Position Responsibilities: Actively leads or supports hardware/software integration activities Coordinate efforts between multiple engineering disciplines (e.g., software, hardware, mission assurance, etc.) Develop System Integration Plans and Integration Procedures Develop software load images for installation onto training devices Integrate multiple systems/subsystems making up a complete training device Examples of systems/subsystems include computational, networking, visual, communication and power systems Troubleshoot issues regarding the training devices Support formal testing events Buildup, integration and test of training devices for final delivery at customer's site This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. 10% Travel may be required; Domestically and/or Internationally depending on business needs. 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). Special Program Access or other Government Access Requirements are mandatory for this position. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science Experience in Systems Engineering including but not limited to system integration Experience with one (or more) of the following: Hardware/Software Integration, File Servers, Computational Systems, Networking Systems, Visual Systems, Operating Systems (Windows and/or Linux) and Scripting Preferred Qualifications (Desired Skills/Experience): Level 4: 5 or more years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) Leadership experience to include but not limited to engineering leadership roles and/or leading work and driving teams to success System Integration Experience: Operating System Installation Basic Input/Output System (BIOS) definition and Setup Network Switch Configuration and Domain Setup Product Security and/or Cybersecurity compliance experience 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. 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. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Experienced (Level 3): $112,200- $151,800 Summary Pay Range Lead (Level 4): $136,850- $185,150 Potential signing bonus for eligible/qualified external candidates Applications for this position will be accepted until Aug. 10, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. 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. A leading global aerospace company and top U.S. exporter, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. Our U.S. and global workforce and supplier base drive innovation, economic opportunity, sustainability and community impact. Boeing is committed to fostering a culture based on our core values of safety, quality and integrity. Boeing is focused on providing and exploring opportunities to enhance the Systems Engineering workforce within Government Training Engineering, work locations to include Hazelwood, MO or Berkeley, MO. This includes, but is not limited to, Government Training products within our Air Dominance (AD), Mobility, Surveillance and Bombers (MS&B) and Vertical Lift portfolios. Example products within the portfolios include: Fighters (F-15 & F/A-18), T-7A Trainers, MQ-25, F-47, P-8, Apache and others. Our teams are currently hiring for a broad range of experienced Systems Engineering disciplines including Experienced and Lead Levels. Position Responsibilities: Actively leads or supports hardware/software integration activities Coordinate efforts between multiple engineering disciplines (e.g., software, hardware, mission assurance, etc.) Develop System Integration Plans and Integration Procedures Develop software load images for installation onto training devices Integrate multiple systems/subsystems making up a complete training device Examples of systems/subsystems include computational, networking, visual, communication and power systems Troubleshoot issues regarding the training devices Support formal testing events Buildup, integration and test of training devices for final delivery at customer's site This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. 10% Travel may be required; Domestically and/or Internationally depending on business needs. 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). Special Program Access or other Government Access Requirements are mandatory for this position. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science Experience in Systems Engineering including but not limited to system integration Experience with one (or more) of the following: Hardware/Software Integration, File Servers, Computational Systems, Networking Systems, Visual Systems, Operating Systems (Windows and/or Linux) and Scripting Preferred Qualifications (Desired Skills/Experience): Level 4: 5 or more years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) Leadership experience to include but not limited to engineering leadership roles and/or leading work and driving teams to success System Integration Experience: Operating System Installation Basic Input/Output System (BIOS) definition and Setup Network Switch Configuration and Domain Setup Product Security and/or Cybersecurity compliance experience 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. 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. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Experienced (Level 3): $112,200- $151,800 Summary Pay Range Lead (Level 4): $136,850- $185,150 Potential signing bonus for eligible/qualified external candidates Applications for this position will be accepted until Aug. 10, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. 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.
Lead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team: The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
08/06/2026
Full time
Lead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team: The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
Description: This position will assist the department process engineers and supervisors, and plant management in ensuring the efficiency and effectiveness of all improvement aspects within the electrical and process automation systems. The major role of this job is to focus on continuous improvement and integration of improvement principles, technical and engineering principles, identifying best practices, and act as a change agent to help achieve a higher level of results within the assigned location by maximizing existing technologies and implementing new solutions to processes. This position serves in a material manufacturing automated processes advisory capacity with no direct reports. Serves as a coach to all production and maintenance employees, and plant management. Primary responsibility and accountability rests with higher levels of supervision. Requirements: The major role of this job is to identify opportunities for improvement in processes, products, and production within the electrical and process automation systems. These duties will include the development and implementation of new as well as adjusting existing standards, structures, systems, and equipment. This position is responsible to ensure the efficiency and effectiveness of all improvement aspects within their area of responsibility. Incumbent will be responsible for reaching improvement through the application of the available methods and tools in conjunction with the use of technical and engineering principles. Responsible for coordinating improvement activities directly with the appropriate Superintendent, Supervisors, and staff within the steelmaking process area. Qualifications for this position include a four year college degree in Engineering (Electrical or Electronic preferably) combined with 5 or more years experience in an industrial or manufacturing environment with high level exposure to advanced process and factory automation technologies, standardization and production quality methods. Incumbent must have an extensive knowledge of steel manufacturing methods, techniques and technologies involving the use of heavy mill machinery and related equipment. Previous qualifying experience in scrap processing, melting, casting, rolling, maintenance, finishing, shipping/warehouse operations, and supervisory/facilitation a must. Successful candidate will demonstrate an extensive knowledge of the business system and the use of complex technical and engineering processes. Requires the ability to train people and serve as a coach to employees. The incumbent should possess solid presentation abilities combined with good interpersonal and organizational skills. This position directly reports to the Department Manager. The incumbent will coordinate efforts with the different functional groups both within area of responsibility and other areas of the location. The incumbent would be detail oriented, self-driven and must be comfortable dealing with associates at all levels within the organization. The incumbent will be responsible for the oversight, contribution to, and support of all the automation technologies trainings and development activities for employees of the location. PM19 PI17197bbbcd28-9928
08/06/2026
Full time
Description: This position will assist the department process engineers and supervisors, and plant management in ensuring the efficiency and effectiveness of all improvement aspects within the electrical and process automation systems. The major role of this job is to focus on continuous improvement and integration of improvement principles, technical and engineering principles, identifying best practices, and act as a change agent to help achieve a higher level of results within the assigned location by maximizing existing technologies and implementing new solutions to processes. This position serves in a material manufacturing automated processes advisory capacity with no direct reports. Serves as a coach to all production and maintenance employees, and plant management. Primary responsibility and accountability rests with higher levels of supervision. Requirements: The major role of this job is to identify opportunities for improvement in processes, products, and production within the electrical and process automation systems. These duties will include the development and implementation of new as well as adjusting existing standards, structures, systems, and equipment. This position is responsible to ensure the efficiency and effectiveness of all improvement aspects within their area of responsibility. Incumbent will be responsible for reaching improvement through the application of the available methods and tools in conjunction with the use of technical and engineering principles. Responsible for coordinating improvement activities directly with the appropriate Superintendent, Supervisors, and staff within the steelmaking process area. Qualifications for this position include a four year college degree in Engineering (Electrical or Electronic preferably) combined with 5 or more years experience in an industrial or manufacturing environment with high level exposure to advanced process and factory automation technologies, standardization and production quality methods. Incumbent must have an extensive knowledge of steel manufacturing methods, techniques and technologies involving the use of heavy mill machinery and related equipment. Previous qualifying experience in scrap processing, melting, casting, rolling, maintenance, finishing, shipping/warehouse operations, and supervisory/facilitation a must. Successful candidate will demonstrate an extensive knowledge of the business system and the use of complex technical and engineering processes. Requires the ability to train people and serve as a coach to employees. The incumbent should possess solid presentation abilities combined with good interpersonal and organizational skills. This position directly reports to the Department Manager. The incumbent will coordinate efforts with the different functional groups both within area of responsibility and other areas of the location. The incumbent would be detail oriented, self-driven and must be comfortable dealing with associates at all levels within the organization. The incumbent will be responsible for the oversight, contribution to, and support of all the automation technologies trainings and development activities for employees of the location. PM19 PI17197bbbcd28-9928
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.
Mid-Continent Instruments and Avionics
Wichita, Kansas
COME JOIN MID-CONTINENT! "Where your work is valued-above-market pay, real work-life balance, and a team that feels like home." THE POSITION As a Software Certification Engineer , you will provide engineering and technical support in the evaluation and testing of existing and emerging technologies, systems, and capabilities. You will plan and implement the RTCA DO-178C and DO-254 lifecycle processes for avionics, power electronics, and battery systems. You'll verify complex microcontroller and FPGA designs to achieve coverage of functional and structural aspects. Product areas include cockpit displays and instruments, local and remote sensing, data conversion and storage, lithium battery management, AC/DC and DC/DC power conversion up to 8000W, in-seat power solutions, and various other components needed in aircraft systems. To be successful in this role, you'll need to provide expert analysis to meet the highest level of safety and reliability, implementing safety-critical software design processes. THIS POSITION MAY BE FOR YOU IF You have a bachelor's degree in computer engineering or related field You have a minimum of one year of experience with RTCA DO-178C or similar safety-critical software design process. You are proficient in C programming. You have the ability to work directly with target hardware, including lab bench equipment and other tools for debugging and analysis. You are proficient with Microsoft Office. You have strong attention to detail. You are organized, focused and results oriented. You are a problem-solver with critical thinking and prioritizing skills. You have excellent verbal, written and interpersonal communication skills. WE WOULD REALLY LIKE IT IF (but it's not a deal breaker) You have experience with C#, or Python languages for a PC application software. You have familiarity with VHDL and RTCA DO-254. You have familiarity with formal coding standards and safety-critical design considerations. WHAT YOU CAN EXPECT FROM ONE DAY TO THE NEXT Create and review design data within the software qualification lifecycle process. Practice safety-critical methods, create plans, requirements, design standards, coding standards, change tracking and verification, formal and functional verification Test and troubleshoot prototype and certified code on target hardware. Includes working in a lab bench environment with the necessary test equipment Design embedded software for microcontroller-based systems, as well as PC-based applications for verification and manufacturing Support software design using current tools, design environments and documentation methods Prototype and execute test programs to verify compliance with applicable performance, regulatory, and quality requirements WE ARE ONE OF THE BEST PLACES TO WORK We provide competitive pay and a comprehensive benefits package. We promote an environment where you can excel in your career while maintaining a healthy work-life balance. Our facility is climate controlled, clean, organized, and safe. We operate in a professional, light manufacturing environment. We believe anything worth doing is worth doing right - every time. We have frequent events to keep work interesting. Our food drive is super impressive, we enjoy an annual food truck fest appreciation day, monthly fruit/donut day, employee luncheons throughout the year, wellness challenges with incentives, and frequent ticket raffles for local sporting and cultural events. We have a small company feel - even though we're doing big things! WHO WE ARE Founded in 1964, Mid-Continent Instruments and Avionics provides superior instruments, avionics and power solutions to the global aerospace community. We operate one of the largest maintenance, overhaul and exchange programs in the world, and deliver safe and certified products, using innovative technologies and sophisticated clean sheet designs. At Mid-Continent Instruments and Avionics, we are committed to quality, service, integrity, and professionalism. Our employees serve the best customers from all over the world in general, business and commercial, advanced air mobility, defense and special missions markets. In this role, you'll be an important part of the reason our customers consider us a premier instrument, avionics, and aircraft power solutions provider. This job description is intended to describe the general nature and level of work performed and is not intended to be an exhaustive list of all responsibilities, duties and skills required. Actual compensation offered within the targeted salary range will be determined by factors such as job-related knowledge, skills, and experience. Compensation details: 00 Yearly Salary PIbe82722db9dd-2601
08/06/2026
Full time
COME JOIN MID-CONTINENT! "Where your work is valued-above-market pay, real work-life balance, and a team that feels like home." THE POSITION As a Software Certification Engineer , you will provide engineering and technical support in the evaluation and testing of existing and emerging technologies, systems, and capabilities. You will plan and implement the RTCA DO-178C and DO-254 lifecycle processes for avionics, power electronics, and battery systems. You'll verify complex microcontroller and FPGA designs to achieve coverage of functional and structural aspects. Product areas include cockpit displays and instruments, local and remote sensing, data conversion and storage, lithium battery management, AC/DC and DC/DC power conversion up to 8000W, in-seat power solutions, and various other components needed in aircraft systems. To be successful in this role, you'll need to provide expert analysis to meet the highest level of safety and reliability, implementing safety-critical software design processes. THIS POSITION MAY BE FOR YOU IF You have a bachelor's degree in computer engineering or related field You have a minimum of one year of experience with RTCA DO-178C or similar safety-critical software design process. You are proficient in C programming. You have the ability to work directly with target hardware, including lab bench equipment and other tools for debugging and analysis. You are proficient with Microsoft Office. You have strong attention to detail. You are organized, focused and results oriented. You are a problem-solver with critical thinking and prioritizing skills. You have excellent verbal, written and interpersonal communication skills. WE WOULD REALLY LIKE IT IF (but it's not a deal breaker) You have experience with C#, or Python languages for a PC application software. You have familiarity with VHDL and RTCA DO-254. You have familiarity with formal coding standards and safety-critical design considerations. WHAT YOU CAN EXPECT FROM ONE DAY TO THE NEXT Create and review design data within the software qualification lifecycle process. Practice safety-critical methods, create plans, requirements, design standards, coding standards, change tracking and verification, formal and functional verification Test and troubleshoot prototype and certified code on target hardware. Includes working in a lab bench environment with the necessary test equipment Design embedded software for microcontroller-based systems, as well as PC-based applications for verification and manufacturing Support software design using current tools, design environments and documentation methods Prototype and execute test programs to verify compliance with applicable performance, regulatory, and quality requirements WE ARE ONE OF THE BEST PLACES TO WORK We provide competitive pay and a comprehensive benefits package. We promote an environment where you can excel in your career while maintaining a healthy work-life balance. Our facility is climate controlled, clean, organized, and safe. We operate in a professional, light manufacturing environment. We believe anything worth doing is worth doing right - every time. We have frequent events to keep work interesting. Our food drive is super impressive, we enjoy an annual food truck fest appreciation day, monthly fruit/donut day, employee luncheons throughout the year, wellness challenges with incentives, and frequent ticket raffles for local sporting and cultural events. We have a small company feel - even though we're doing big things! WHO WE ARE Founded in 1964, Mid-Continent Instruments and Avionics provides superior instruments, avionics and power solutions to the global aerospace community. We operate one of the largest maintenance, overhaul and exchange programs in the world, and deliver safe and certified products, using innovative technologies and sophisticated clean sheet designs. At Mid-Continent Instruments and Avionics, we are committed to quality, service, integrity, and professionalism. Our employees serve the best customers from all over the world in general, business and commercial, advanced air mobility, defense and special missions markets. In this role, you'll be an important part of the reason our customers consider us a premier instrument, avionics, and aircraft power solutions provider. This job description is intended to describe the general nature and level of work performed and is not intended to be an exhaustive list of all responsibilities, duties and skills required. Actual compensation offered within the targeted salary range will be determined by factors such as job-related knowledge, skills, and experience. Compensation details: 00 Yearly Salary PIbe82722db9dd-2601
Position: Senior Security Engineer - PKI & Detection, Aircraft Security Location: Fort Worth Texas (Hybrid - onsite Tuesday through Thursday; remote Monday and Friday) Duration: Contract Job ID: 178661 Job Overview: We are seeking a Senior Security Engineer to support aircraft security initiatives focused on detection, remediation, and Public Key Infrastructure (PKI). This role will independently design and operate security solutions, investigate security events, develop detections, and drive remediation activities through validated closure. The ideal candidate brings strong hands-on PKI engineering expertise, Microsoft Sentinel detection engineering experience, and the ability to work across technical teams to improve security, reliability, and scalability. Responsibilities: Design, build, test, document, and maintain security engineering solutions, scripts, processes, and reusable components in accordance with organizational standards. Develop and tune Microsoft Sentinel detections, KQL queries, analytics rules, dashboards, and investigation workflows. Conduct end-to-end security event investigations, perform root-cause analysis, and produce clear written documentation of findings and corrective actions. Own remediation lifecycle activities, including remediation-plan reviews, vulnerability and finding tracking, and validation of closure. Design and operate PKI solutions, including certificate enrollment, authentication, software signing, validation, and supporting key-management processes. Partner with security and engineering teams to incorporate security-conscious practices early in the system development lifecycle. Identify technical risks related to scalability, latency, durability, and security, and lead practical mitigation strategies. Guide junior engineers on technical craftsmanship and contribute to continuous improvement of engineering practices. Explore emerging technologies and develop prototypes that may be incorporated into security architecture and operational solutions. Qualifications: At least 5 years of security engineering experience with demonstrated independent project ownership; queue-based SOC or triage-only experience is not sufficient. Hands-on PKI engineering experience, including PKI solution design and operations, certificate enrollment protocols such as SCEP and EST, Certificate Policy/Certification Practice Statements (CP/CPS), trusted roles, Levels of Assurance, and NIST SP 800-63. Strong Microsoft Sentinel experience, including KQL/query development, detection rule authoring, dashboard development, and independently led end-to-end security event investigations. Experience owning remediation lifecycle engineering, including remediation-plan review, vulnerability/finding tracking, and validated closure. Nice to Have Skills and Experience: Experience with AI or agentic security tooling, including LLM-assisted code or configuration analysis and prompt engineering for security use cases. Endpoint platform engineering, SSO policy groups, API scripting and automation using Python or PowerShell. Experience with aviation, OT, cyber-physical systems, embedded systems, HSMs, key-management, or code-signing infrastructure. Interview Process: Two interview rounds: the first interview will be virtual, followed by an in-person interview. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $60-$65/Hr on W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
08/06/2026
Full time
Position: Senior Security Engineer - PKI & Detection, Aircraft Security Location: Fort Worth Texas (Hybrid - onsite Tuesday through Thursday; remote Monday and Friday) Duration: Contract Job ID: 178661 Job Overview: We are seeking a Senior Security Engineer to support aircraft security initiatives focused on detection, remediation, and Public Key Infrastructure (PKI). This role will independently design and operate security solutions, investigate security events, develop detections, and drive remediation activities through validated closure. The ideal candidate brings strong hands-on PKI engineering expertise, Microsoft Sentinel detection engineering experience, and the ability to work across technical teams to improve security, reliability, and scalability. Responsibilities: Design, build, test, document, and maintain security engineering solutions, scripts, processes, and reusable components in accordance with organizational standards. Develop and tune Microsoft Sentinel detections, KQL queries, analytics rules, dashboards, and investigation workflows. Conduct end-to-end security event investigations, perform root-cause analysis, and produce clear written documentation of findings and corrective actions. Own remediation lifecycle activities, including remediation-plan reviews, vulnerability and finding tracking, and validation of closure. Design and operate PKI solutions, including certificate enrollment, authentication, software signing, validation, and supporting key-management processes. Partner with security and engineering teams to incorporate security-conscious practices early in the system development lifecycle. Identify technical risks related to scalability, latency, durability, and security, and lead practical mitigation strategies. Guide junior engineers on technical craftsmanship and contribute to continuous improvement of engineering practices. Explore emerging technologies and develop prototypes that may be incorporated into security architecture and operational solutions. Qualifications: At least 5 years of security engineering experience with demonstrated independent project ownership; queue-based SOC or triage-only experience is not sufficient. Hands-on PKI engineering experience, including PKI solution design and operations, certificate enrollment protocols such as SCEP and EST, Certificate Policy/Certification Practice Statements (CP/CPS), trusted roles, Levels of Assurance, and NIST SP 800-63. Strong Microsoft Sentinel experience, including KQL/query development, detection rule authoring, dashboard development, and independently led end-to-end security event investigations. Experience owning remediation lifecycle engineering, including remediation-plan review, vulnerability/finding tracking, and validated closure. Nice to Have Skills and Experience: Experience with AI or agentic security tooling, including LLM-assisted code or configuration analysis and prompt engineering for security use cases. Endpoint platform engineering, SSO policy groups, API scripting and automation using Python or PowerShell. Experience with aviation, OT, cyber-physical systems, embedded systems, HSMs, key-management, or code-signing infrastructure. Interview Process: Two interview rounds: the first interview will be virtual, followed by an in-person interview. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $60-$65/Hr on W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
Position: Senior Java Engineer - Microservices & Production Support Location: Fort Worth, Texas (Hybrid - onsite Tuesday through Thursday; remote Monday and Friday) Duration: Contract Job ID: 178605 Job Overview: We are seeking a Senior Java Engineer to design, develop, and support large-scale, production-grade microservices. This role requires strong hands-on experience with Java, Spring Boot, Kafka, and production support, along with the ability to deliver high-quality code, meet project timelines, and troubleshoot complex issues. The engineer will work within DevOps-focused squads to build resilient, scalable, and reliable solutions that support enterprise business needs. Responsibilities: Design, develop, test, document, and maintain Java-based microservices and reusable software components. Build and enhance Spring Boot applications and Kafka-based integrations for scalable, event-driven systems. Provide production support, investigate incidents, perform root-cause analysis, and drive corrective actions through resolution. Write clean, reliable, and maintainable code while following organizational development, testing, and documentation standards. Optimize applications and system designs for performance, resiliency, durability, reliability, and scalability. Collaborate with cross-functional engineering teams to support safe, incremental releases and reduce technical debt. Contribute to CI/CD and DevOps practices, including automated testing, source control, and deployment processes. Coach junior engineers on technical craftsmanship, debugging practices, code quality, and engineering best practices. Evaluate emerging technologies and contribute to solution architecture, prototypes, and continuous improvement initiatives. Work within Agile, DevOps-oriented squads of approximately five to six team members. Qualifications: Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline; equivalent experience or training may be considered. 7-9 years of experience designing, developing, and implementing large-scale solutions in production environments. Strong hands-on experience developing microservices using Java and Spring Boot. Hands-on experience with Apache Kafka and event-driven integration patterns. Demonstrated production support experience, including debugging, incident investigation, root-cause analysis, and issue resolution. Strong knowledge of object-oriented design principles, Agile methodologies, and DevOps/CI-CD practices. Ability to deliver quality code, reliably meet project timelines, and communicate technical concepts clearly in writing, verbally, code, and diagrams. Nice to Have Skills and Experience: Experience with PostgreSQL, Redis, Kubernetes, Docker, Git, GitHub Actions, Maven, JUnit, and test automation tools. Experience with REST APIs, GraphQL, cloud platforms such as Azure or AWS, and CI/CD pipelines. Experience with Python, C#, JavaScript/TypeScript, Angular, React, MongoDB, Azure DevOps, Selenium, Postman, SonarQube, Cypress, Cucumber, Playwright, WireMock, or Mockito. Airline industry experience. Interview Process: Two interview rounds: the first interview will be virtual, followed by an onsite hands-on coding interview. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $60 - $65/Hr on W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
08/06/2026
Full time
Position: Senior Java Engineer - Microservices & Production Support Location: Fort Worth, Texas (Hybrid - onsite Tuesday through Thursday; remote Monday and Friday) Duration: Contract Job ID: 178605 Job Overview: We are seeking a Senior Java Engineer to design, develop, and support large-scale, production-grade microservices. This role requires strong hands-on experience with Java, Spring Boot, Kafka, and production support, along with the ability to deliver high-quality code, meet project timelines, and troubleshoot complex issues. The engineer will work within DevOps-focused squads to build resilient, scalable, and reliable solutions that support enterprise business needs. Responsibilities: Design, develop, test, document, and maintain Java-based microservices and reusable software components. Build and enhance Spring Boot applications and Kafka-based integrations for scalable, event-driven systems. Provide production support, investigate incidents, perform root-cause analysis, and drive corrective actions through resolution. Write clean, reliable, and maintainable code while following organizational development, testing, and documentation standards. Optimize applications and system designs for performance, resiliency, durability, reliability, and scalability. Collaborate with cross-functional engineering teams to support safe, incremental releases and reduce technical debt. Contribute to CI/CD and DevOps practices, including automated testing, source control, and deployment processes. Coach junior engineers on technical craftsmanship, debugging practices, code quality, and engineering best practices. Evaluate emerging technologies and contribute to solution architecture, prototypes, and continuous improvement initiatives. Work within Agile, DevOps-oriented squads of approximately five to six team members. Qualifications: Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline; equivalent experience or training may be considered. 7-9 years of experience designing, developing, and implementing large-scale solutions in production environments. Strong hands-on experience developing microservices using Java and Spring Boot. Hands-on experience with Apache Kafka and event-driven integration patterns. Demonstrated production support experience, including debugging, incident investigation, root-cause analysis, and issue resolution. Strong knowledge of object-oriented design principles, Agile methodologies, and DevOps/CI-CD practices. Ability to deliver quality code, reliably meet project timelines, and communicate technical concepts clearly in writing, verbally, code, and diagrams. Nice to Have Skills and Experience: Experience with PostgreSQL, Redis, Kubernetes, Docker, Git, GitHub Actions, Maven, JUnit, and test automation tools. Experience with REST APIs, GraphQL, cloud platforms such as Azure or AWS, and CI/CD pipelines. Experience with Python, C#, JavaScript/TypeScript, Angular, React, MongoDB, Azure DevOps, Selenium, Postman, SonarQube, Cypress, Cucumber, Playwright, WireMock, or Mockito. Airline industry experience. Interview Process: Two interview rounds: the first interview will be virtual, followed by an onsite hands-on coding interview. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $60 - $65/Hr on W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
Position: Senior Security Engineer - PKI & Detection, Aircraft Security Location: Fort Worth Texas (Hybrid - onsite Tuesday through Thursday; remote Monday and Friday) Duration: Contract Job ID: 178660 Job Overview: We are seeking a Senior Security Engineer to support aircraft security initiatives focused on detection, remediation, and Public Key Infrastructure (PKI). This role will independently design and operate security solutions, investigate security events, develop detections, and drive remediation activities through validated closure. The ideal candidate brings strong hands-on PKI engineering expertise, Microsoft Sentinel detection engineering experience, and the ability to work across technical teams to improve security, reliability, and scalability. Responsibilities: Design, build, test, document, and maintain security engineering solutions, scripts, processes, and reusable components in accordance with organizational standards. Develop and tune Microsoft Sentinel detections, KQL queries, analytics rules, dashboards, and investigation workflows. Conduct end-to-end security event investigations, perform root-cause analysis, and produce clear written documentation of findings and corrective actions. Own remediation lifecycle activities, including remediation-plan reviews, vulnerability and finding tracking, and validation of closure. Design and operate PKI solutions, including certificate enrollment, authentication, software signing, validation, and supporting key-management processes. Partner with security and engineering teams to incorporate security-conscious practices early in the system development lifecycle. Identify technical risks related to scalability, latency, durability, and security, and lead practical mitigation strategies. Guide junior engineers on technical craftsmanship and contribute to continuous improvement of engineering practices. Explore emerging technologies and develop prototypes that may be incorporated into security architecture and operational solutions. Qualifications: At least 5 years of security engineering experience with demonstrated independent project ownership; queue-based SOC or triage-only experience is not sufficient. Hands-on PKI engineering experience, including PKI solution design and operations, certificate enrollment protocols such as SCEP and EST, Certificate Policy/Certification Practice Statements (CP/CPS), trusted roles, Levels of Assurance, and NIST SP 800-63. Strong Microsoft Sentinel experience, including KQL/query development, detection rule authoring, dashboard development, and independently led end-to-end security event investigations. Experience owning remediation lifecycle engineering, including remediation-plan review, vulnerability/finding tracking, and validated closure. Nice to Have Skills and Experience: Experience with AI or agentic security tooling, including LLM-assisted code or configuration analysis and prompt engineering for security use cases. Endpoint platform engineering, SSO policy groups, API scripting and automation using Python or PowerShell. Experience with aviation, OT, cyber-physical systems, embedded systems, HSMs, key-management, or code-signing infrastructure. Interview Process: Two interview rounds: the first interview will be virtual, followed by an in-person interview. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $60-$65/Hr on W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
08/06/2026
Full time
Position: Senior Security Engineer - PKI & Detection, Aircraft Security Location: Fort Worth Texas (Hybrid - onsite Tuesday through Thursday; remote Monday and Friday) Duration: Contract Job ID: 178660 Job Overview: We are seeking a Senior Security Engineer to support aircraft security initiatives focused on detection, remediation, and Public Key Infrastructure (PKI). This role will independently design and operate security solutions, investigate security events, develop detections, and drive remediation activities through validated closure. The ideal candidate brings strong hands-on PKI engineering expertise, Microsoft Sentinel detection engineering experience, and the ability to work across technical teams to improve security, reliability, and scalability. Responsibilities: Design, build, test, document, and maintain security engineering solutions, scripts, processes, and reusable components in accordance with organizational standards. Develop and tune Microsoft Sentinel detections, KQL queries, analytics rules, dashboards, and investigation workflows. Conduct end-to-end security event investigations, perform root-cause analysis, and produce clear written documentation of findings and corrective actions. Own remediation lifecycle activities, including remediation-plan reviews, vulnerability and finding tracking, and validation of closure. Design and operate PKI solutions, including certificate enrollment, authentication, software signing, validation, and supporting key-management processes. Partner with security and engineering teams to incorporate security-conscious practices early in the system development lifecycle. Identify technical risks related to scalability, latency, durability, and security, and lead practical mitigation strategies. Guide junior engineers on technical craftsmanship and contribute to continuous improvement of engineering practices. Explore emerging technologies and develop prototypes that may be incorporated into security architecture and operational solutions. Qualifications: At least 5 years of security engineering experience with demonstrated independent project ownership; queue-based SOC or triage-only experience is not sufficient. Hands-on PKI engineering experience, including PKI solution design and operations, certificate enrollment protocols such as SCEP and EST, Certificate Policy/Certification Practice Statements (CP/CPS), trusted roles, Levels of Assurance, and NIST SP 800-63. Strong Microsoft Sentinel experience, including KQL/query development, detection rule authoring, dashboard development, and independently led end-to-end security event investigations. Experience owning remediation lifecycle engineering, including remediation-plan review, vulnerability/finding tracking, and validated closure. Nice to Have Skills and Experience: Experience with AI or agentic security tooling, including LLM-assisted code or configuration analysis and prompt engineering for security use cases. Endpoint platform engineering, SSO policy groups, API scripting and automation using Python or PowerShell. Experience with aviation, OT, cyber-physical systems, embedded systems, HSMs, key-management, or code-signing infrastructure. Interview Process: Two interview rounds: the first interview will be virtual, followed by an in-person interview. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $60-$65/Hr on W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
Position: Network/Data Engineer Location: Dallas, TX, Atlanta, GA & Bedminster, NJ Duration: Contract Job ID: 178710 Job Overview: We are seeking a skilled and experienced Network/Data Engineer to join our team in Atlanta, Georgia. The ideal candidate will be responsible for designing, implementing, and maintaining network and data systems to ensure optimal performance and reliability. This role requires a strong understanding of network infrastructure, data management, and troubleshooting techniques. Responsibilities: Project based work in a team environment Cisco CCNA and/or Juniper JNCIA certification Experience in new build configuration on Cisco IOS or Junos OS Routing/L3: Provisioning/Life Cycle/Troubleshooting experience MPLS VPN Architecture (P, PE, CE) experience preferred Design, implement, and manage network systems to support business operations. Monitor and optimize network performance to ensure reliability and efficiency. Troubleshoot and resolve network and data-related issues promptly. Collaborate with cross-functional teams to support data integration and system upgrades. Maintain documentation of network configurations, processes, and procedures. Ensure compliance with security protocols and data protection standards. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a Network/Data Engineer or in a similar role. Strong knowledge of network protocols, hardware, and software. Experience with data management and database systems. Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Relevant certifications (e.g., CCNA, CCNP) are a plus. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range:$50hr - $52hr on w2 Only The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
08/06/2026
Full time
Position: Network/Data Engineer Location: Dallas, TX, Atlanta, GA & Bedminster, NJ Duration: Contract Job ID: 178710 Job Overview: We are seeking a skilled and experienced Network/Data Engineer to join our team in Atlanta, Georgia. The ideal candidate will be responsible for designing, implementing, and maintaining network and data systems to ensure optimal performance and reliability. This role requires a strong understanding of network infrastructure, data management, and troubleshooting techniques. Responsibilities: Project based work in a team environment Cisco CCNA and/or Juniper JNCIA certification Experience in new build configuration on Cisco IOS or Junos OS Routing/L3: Provisioning/Life Cycle/Troubleshooting experience MPLS VPN Architecture (P, PE, CE) experience preferred Design, implement, and manage network systems to support business operations. Monitor and optimize network performance to ensure reliability and efficiency. Troubleshoot and resolve network and data-related issues promptly. Collaborate with cross-functional teams to support data integration and system upgrades. Maintain documentation of network configurations, processes, and procedures. Ensure compliance with security protocols and data protection standards. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a Network/Data Engineer or in a similar role. Strong knowledge of network protocols, hardware, and software. Experience with data management and database systems. Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Relevant certifications (e.g., CCNA, CCNP) are a plus. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range:$50hr - $52hr on w2 Only The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
Pinnacle Technical Resources
Menlo Park, California
Position: QA Analyst III Location: Menlo Park, California (Hybrid) Only Local candidate Duration: 6+ Months Contract Job ID: 178748 Job Overview: As a QA Analyst III, you will play a critical role in ensuring product quality by executing and improving test processes, collaborating with engineering and QA leads, and supporting the delivery of high-quality features. This role is ideal for individuals who can operate independently, contribute to test strategy, and take ownership of execution within defined scopes. The position requires onsite collaboration in Menlo Park, California, with a hybrid schedule of three days in the office (specific days subject to change). Responsibilities: Execute manual and automated test cases for new and existing features. Reproduce, document, and triage bugs; work closely with engineering to drive resolution. Write and maintain clear, comprehensive test cases and test plans. Support QA leads in driving test strategy and test plan creation. Create and maintain dashboards to track quality metrics and test progress. Conduct product audits with QA leads' guidance to analyze and improve QA test coverage. Conduct bug audits with QA leads' guidance to identify product areas needing improvement. Provide release readiness support for medium and small-sized features. Lead test execution for small to medium-sized projects or features. Attend status meetings and represent QA in the absence of QA leads. Work onsite as needed to collaborate directly with engineering and QA teams, ensuring product rigor. Support stealth projects requiring a higher level of diligence in execution. Run and lead innovative testing techniques such as benchmarking testing and battery testing. Qualifications: 5+ years of experience in software quality assurance or a related field. Strong understanding of QA methodologies, tools, and processes. Experience writing and executing test cases and test plans, both manual and automated. Excellent communication and collaboration skills. Ability to work independently and take initiative in a fast-paced environment. Experience with dashboarding tools and quality metrics is a plus. Comfortable working onsite and engaging directly with cross-functional teams. Expertise with Python, JavaScript, SQL, or similar programming languages. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $60 - $65 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
08/06/2026
Full time
Position: QA Analyst III Location: Menlo Park, California (Hybrid) Only Local candidate Duration: 6+ Months Contract Job ID: 178748 Job Overview: As a QA Analyst III, you will play a critical role in ensuring product quality by executing and improving test processes, collaborating with engineering and QA leads, and supporting the delivery of high-quality features. This role is ideal for individuals who can operate independently, contribute to test strategy, and take ownership of execution within defined scopes. The position requires onsite collaboration in Menlo Park, California, with a hybrid schedule of three days in the office (specific days subject to change). Responsibilities: Execute manual and automated test cases for new and existing features. Reproduce, document, and triage bugs; work closely with engineering to drive resolution. Write and maintain clear, comprehensive test cases and test plans. Support QA leads in driving test strategy and test plan creation. Create and maintain dashboards to track quality metrics and test progress. Conduct product audits with QA leads' guidance to analyze and improve QA test coverage. Conduct bug audits with QA leads' guidance to identify product areas needing improvement. Provide release readiness support for medium and small-sized features. Lead test execution for small to medium-sized projects or features. Attend status meetings and represent QA in the absence of QA leads. Work onsite as needed to collaborate directly with engineering and QA teams, ensuring product rigor. Support stealth projects requiring a higher level of diligence in execution. Run and lead innovative testing techniques such as benchmarking testing and battery testing. Qualifications: 5+ years of experience in software quality assurance or a related field. Strong understanding of QA methodologies, tools, and processes. Experience writing and executing test cases and test plans, both manual and automated. Excellent communication and collaboration skills. Ability to work independently and take initiative in a fast-paced environment. Experience with dashboarding tools and quality metrics is a plus. Comfortable working onsite and engaging directly with cross-functional teams. Expertise with Python, JavaScript, SQL, or similar programming languages. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $60 - $65 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
Position: Sr. Full Stack Java Engineer Location: Fort Worth, Texas Duration: Contract Job ID: 178742 Job Overview: We are seeking a highly skilled Sr. Engineer to join our team in Fort Worth, Texas. The ideal candidate will have extensive experience in full-stack web application development, cloud-based environments, and modern development frameworks. This role requires a strong technical background, problem-solving skills, and the ability to mentor junior engineers. The position involves a hybrid work setup with three days onsite and requires an onsite interview. Responsibilities: Write tests and document technical work products, including code, scripts, and processes, adhering to organizational standards. Solve complex technical problems and build impactful components and libraries. Deliver high-quality work and mentor junior engineers on technical craftsmanship. Conduct root cause analysis to identify systemic problems and lead execution of action items to address them. Design integrated systems that model organizational best practices, enabling teams to deliver value with speed, scale, and reliability. Oversee the management of technical debt and drive opportunities to eliminate it within ongoing implementations. Anticipate scaling, latency, and durability challenges, guiding teams in implementing mitigating strategies. Collaborate with the security organization to incorporate security-conscious practices early in the lifecycle of new systems. Evaluate technical risks and guide teams toward practical prevention strategies. Recommend and implement improvements to squad delivery practices and remove duplication of effort across teams. Identify opportunities for reuse within the span of influence and measure team performance to foster individual development. Explore emerging technologies, lead prototype development, and incorporate them into architectural solutions where appropriate. Qualifications: 3-5 years of experience with React or Angular 2 and up. 3-5 years of experience with development frameworks such as Spring Boot (required). 5 years of experience developing full-stack web applications. 3-5 years of experience working on Agile development teams. 3 years of experience managing and developing applications hosted in a cloud environment (e.g., Cloud Foundry). 3-5 years of experience creating microservices for PCF Cloud and deploying in Apigee/Apollo Cloud Technologies (AWS). Experience with Spring Security, Spring Integration, Spring JMS, Spring Cloud, Spring REST, TDD, and event-driven frameworks. Proficiency with development tools/platforms such as IntelliJ, GitHub, GitHub Actions, Azure Cloud, Kubernetes (preferred), and Jenkins. Experience with web application development using React, Angular, HTTP, CSS, XML, JSON, TypeScript, SQL/NoSQL, MySQL/SQL. Proficiency in Java, JavaScript, Node.js, Scala, HTML/CSS, Docker, and C. Experience with Microservices, Mockito, CICD Pipeline, Pivotal Cloud, Gradle, Swagger, Apigee, JIRA, Confluence, and Agile methodologies. Experience testing applications using SOAP UI and Postman, and refactoring SOAP-based web services to REST APIs. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $60 - $65/hr on W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
08/06/2026
Full time
Position: Sr. Full Stack Java Engineer Location: Fort Worth, Texas Duration: Contract Job ID: 178742 Job Overview: We are seeking a highly skilled Sr. Engineer to join our team in Fort Worth, Texas. The ideal candidate will have extensive experience in full-stack web application development, cloud-based environments, and modern development frameworks. This role requires a strong technical background, problem-solving skills, and the ability to mentor junior engineers. The position involves a hybrid work setup with three days onsite and requires an onsite interview. Responsibilities: Write tests and document technical work products, including code, scripts, and processes, adhering to organizational standards. Solve complex technical problems and build impactful components and libraries. Deliver high-quality work and mentor junior engineers on technical craftsmanship. Conduct root cause analysis to identify systemic problems and lead execution of action items to address them. Design integrated systems that model organizational best practices, enabling teams to deliver value with speed, scale, and reliability. Oversee the management of technical debt and drive opportunities to eliminate it within ongoing implementations. Anticipate scaling, latency, and durability challenges, guiding teams in implementing mitigating strategies. Collaborate with the security organization to incorporate security-conscious practices early in the lifecycle of new systems. Evaluate technical risks and guide teams toward practical prevention strategies. Recommend and implement improvements to squad delivery practices and remove duplication of effort across teams. Identify opportunities for reuse within the span of influence and measure team performance to foster individual development. Explore emerging technologies, lead prototype development, and incorporate them into architectural solutions where appropriate. Qualifications: 3-5 years of experience with React or Angular 2 and up. 3-5 years of experience with development frameworks such as Spring Boot (required). 5 years of experience developing full-stack web applications. 3-5 years of experience working on Agile development teams. 3 years of experience managing and developing applications hosted in a cloud environment (e.g., Cloud Foundry). 3-5 years of experience creating microservices for PCF Cloud and deploying in Apigee/Apollo Cloud Technologies (AWS). Experience with Spring Security, Spring Integration, Spring JMS, Spring Cloud, Spring REST, TDD, and event-driven frameworks. Proficiency with development tools/platforms such as IntelliJ, GitHub, GitHub Actions, Azure Cloud, Kubernetes (preferred), and Jenkins. Experience with web application development using React, Angular, HTTP, CSS, XML, JSON, TypeScript, SQL/NoSQL, MySQL/SQL. Proficiency in Java, JavaScript, Node.js, Scala, HTML/CSS, Docker, and C. Experience with Microservices, Mockito, CICD Pipeline, Pivotal Cloud, Gradle, Swagger, Apigee, JIRA, Confluence, and Agile methodologies. Experience testing applications using SOAP UI and Postman, and refactoring SOAP-based web services to REST APIs. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $60 - $65/hr on W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
