Senior Fullstack Developer (Remote) Primary Location: Remote V-Soft Consulting is currently hiring for a Senior Fullstack Developer (Remote) for our premier client. Education and Experience " Must-Have Skills: 6 - 10 years of full stack development experience, backend-heavy. Deep Java and Spring Boot experience. Kafka and event-driven architecture experience. PostgreSQL or strong relational database experience. Cloud experience, preferably AWS, but Azure is acceptable. Python experience for backend or data workflows. Experience modernizing legacy microservices and distributed systems. DevSecOps mindset, automated testing, CI/CD, and secure coding. Experience supporting both new builds and existing systems. Experience with IoT, high-volume data pipelines, sensors, or detector systems. Ability to mentor junior developers and provide technical leadership. Ability to lead full-stack projects from design through deployment. Nice-to-Have Skills: React or Angular experience. React Native experience for the mobile-focused opening. AI-assisted development experience with Copilot, Gemini, ChatGPT, OpenAI, or similar tools. Spark, Elasticsearch, or similar distributed data tools. Rules engine experience. Enterprise modernization experience. WHAT YOU'LL DO: Job Responsibilities: This role supports the Mechanical/Hub and Terminal teams, focused on modernizing major legacy systems that support freight operations, rolling stock maintenance, detector systems, hub movement, terminal activity, and container flow from origin to destination. The modernization scope is large and includes multiple MQs, legacy microservices, IoT data ingestion, high-volume detector/sensor data, and 600+ rulesets that need to be replatformed. The environment processes 30M+ data points from detectors, so candidates need to be comfortable working in high-volume distributed systems. The client is looking for engineers who can support both new development and existing system modernization. This person should be able to work independently, mentor junior developers, communicate clearly, and lead full-stack work from design through deployment. Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit or call .
08/07/2026
Full time
Senior Fullstack Developer (Remote) Primary Location: Remote V-Soft Consulting is currently hiring for a Senior Fullstack Developer (Remote) for our premier client. Education and Experience " Must-Have Skills: 6 - 10 years of full stack development experience, backend-heavy. Deep Java and Spring Boot experience. Kafka and event-driven architecture experience. PostgreSQL or strong relational database experience. Cloud experience, preferably AWS, but Azure is acceptable. Python experience for backend or data workflows. Experience modernizing legacy microservices and distributed systems. DevSecOps mindset, automated testing, CI/CD, and secure coding. Experience supporting both new builds and existing systems. Experience with IoT, high-volume data pipelines, sensors, or detector systems. Ability to mentor junior developers and provide technical leadership. Ability to lead full-stack projects from design through deployment. Nice-to-Have Skills: React or Angular experience. React Native experience for the mobile-focused opening. AI-assisted development experience with Copilot, Gemini, ChatGPT, OpenAI, or similar tools. Spark, Elasticsearch, or similar distributed data tools. Rules engine experience. Enterprise modernization experience. WHAT YOU'LL DO: Job Responsibilities: This role supports the Mechanical/Hub and Terminal teams, focused on modernizing major legacy systems that support freight operations, rolling stock maintenance, detector systems, hub movement, terminal activity, and container flow from origin to destination. The modernization scope is large and includes multiple MQs, legacy microservices, IoT data ingestion, high-volume detector/sensor data, and 600+ rulesets that need to be replatformed. The environment processes 30M+ data points from detectors, so candidates need to be comfortable working in high-volume distributed systems. The client is looking for engineers who can support both new development and existing system modernization. This person should be able to work independently, mentor junior developers, communicate clearly, and lead full-stack work from design through deployment. Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit or call .
Job Description: We are seeking a Senior Software Engineer contractor to develop robotics platform software on NVIDIA Jetson (Linux/ROS2) for a manipulation system integrating custom grippers, sensors, and actuator subsystems. You will write ROS2 nodes, develop host-side SDKs interfacing with embedded hardware over Ethernet and EtherCAT, integrate sensor pipelines (cameras, depth, tactile, IMU), and deploy perception/control algorithms into the real-time platform. The work is hands-on, systems-level C++/Python on Ubuntu with PREEMPT_RT, JetPack, and Docker.
08/07/2026
Full time
Job Description: We are seeking a Senior Software Engineer contractor to develop robotics platform software on NVIDIA Jetson (Linux/ROS2) for a manipulation system integrating custom grippers, sensors, and actuator subsystems. You will write ROS2 nodes, develop host-side SDKs interfacing with embedded hardware over Ethernet and EtherCAT, integrate sensor pipelines (cameras, depth, tactile, IMU), and deploy perception/control algorithms into the real-time platform. The work is hands-on, systems-level C++/Python on Ubuntu with PREEMPT_RT, JetPack, and Docker.
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 has an exciting opportunity for Mission Systems Software Developer (Experienced & Senior) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. To learn more, take a look at our video: Our Air Dominance software engineers design, develop, and demonstrate avionics solutions for the platforms we build and upgrade. Your efforts will assist integration of innovative technologies to maintain our platform's dominance over the battlefield for many decades to come. Additionally, our software engineers support the Flight Simulation products associated to our platforms. Our engineers are involved in all aspects of these programs (software requirements, design, code, and test) and our agile development approach allows new hires like yourself to quickly become very impactful and make a difference to our success! To learn more about Boeing Software Engineering, take a look at our video: Our teams are currently hiring for a broad range of experience levels including; Experienced and Senior Level Software Developer Engineers. Position Responsibilities: Supporting software development on agile teams which are tasked with integrating/implementing solutions onto a platform Developing high fidelity simulation and environment software and tool sets to enable rapid development, test, and deployment of high-quality software solutions for the war-fighter, and many others Uses analytical problem-solving skills to resolve problems for the company and suppliers Uses engineering skills to deliver improved weapon system capabilities to our customers Applies engineering knowledge to continuously improve processes and tools Applies knowledge of engineering principles to conduct analysis Documentation of Engineering Practices for replication, scaling and continuous improvement Working across program stakeholders and subject matter experts in various engineering disciplines (Operational Analysis, Software Engineering, Mission Systems Hardware, Flight Simulation, etc.) Technical leadership over supporting junior engineers This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Daytona Beach, FL. Required Qualifications (Required Skills/ Experience): 4 plus years' professional experience with any of the following software development languages: Ada, C, C++, C#, JAVA, and Python 3 plus years' experience working in a project where various software development methodologies are being utilizing Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Mathematics, or Physics, Computer Science, or other technical degree 5 + years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) Highest level U.S. security clearance currently hold or have held in the past 24 months Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels Experience developing embedded real-time software Experience developing models and simulation Experience developing Operational Flight Program (OFP) software for an aircraft platform Experience working with Real-time Operating Systems (RTOS) Experience with object-oriented analysis and design (OOAD) methodologies Experience with Agile software development Experience with open architecture constructs like Open Mission Systems (OMS), Open Communication Standard (OCS); utilizing the Universal Command and Control Interface (UCI) Experience developing and documenting software architecture using Cameo, or similar Model Based Systems Engineering tools Experience with configuration management and collaboration tools such as (or similar to) Git, JIRA, Collaborator, Beyond Compare and VersionOne Experience leading a project or technical team Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Experienced Engineer: $118,150.00 - $159,850.00. Summary pay range for Senior Engineer: $149,600.00 - $202,400.00. 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 Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
08/07/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for Mission Systems Software Developer (Experienced & Senior) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. To learn more, take a look at our video: Our Air Dominance software engineers design, develop, and demonstrate avionics solutions for the platforms we build and upgrade. Your efforts will assist integration of innovative technologies to maintain our platform's dominance over the battlefield for many decades to come. Additionally, our software engineers support the Flight Simulation products associated to our platforms. Our engineers are involved in all aspects of these programs (software requirements, design, code, and test) and our agile development approach allows new hires like yourself to quickly become very impactful and make a difference to our success! To learn more about Boeing Software Engineering, take a look at our video: Our teams are currently hiring for a broad range of experience levels including; Experienced and Senior Level Software Developer Engineers. Position Responsibilities: Supporting software development on agile teams which are tasked with integrating/implementing solutions onto a platform Developing high fidelity simulation and environment software and tool sets to enable rapid development, test, and deployment of high-quality software solutions for the war-fighter, and many others Uses analytical problem-solving skills to resolve problems for the company and suppliers Uses engineering skills to deliver improved weapon system capabilities to our customers Applies engineering knowledge to continuously improve processes and tools Applies knowledge of engineering principles to conduct analysis Documentation of Engineering Practices for replication, scaling and continuous improvement Working across program stakeholders and subject matter experts in various engineering disciplines (Operational Analysis, Software Engineering, Mission Systems Hardware, Flight Simulation, etc.) Technical leadership over supporting junior engineers This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Daytona Beach, FL. Required Qualifications (Required Skills/ Experience): 4 plus years' professional experience with any of the following software development languages: Ada, C, C++, C#, JAVA, and Python 3 plus years' experience working in a project where various software development methodologies are being utilizing Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Mathematics, or Physics, Computer Science, or other technical degree 5 + years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) Highest level U.S. security clearance currently hold or have held in the past 24 months Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels Experience developing embedded real-time software Experience developing models and simulation Experience developing Operational Flight Program (OFP) software for an aircraft platform Experience working with Real-time Operating Systems (RTOS) Experience with object-oriented analysis and design (OOAD) methodologies Experience with Agile software development Experience with open architecture constructs like Open Mission Systems (OMS), Open Communication Standard (OCS); utilizing the Universal Command and Control Interface (UCI) Experience developing and documenting software architecture using Cameo, or similar Model Based Systems Engineering tools Experience with configuration management and collaboration tools such as (or similar to) Git, JIRA, Collaborator, Beyond Compare and VersionOne Experience leading a project or technical team Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Experienced Engineer: $118,150.00 - $159,850.00. Summary pay range for Senior Engineer: $149,600.00 - $202,400.00. 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 Relocation Relocation assistance is not a negotiable benefit for this position. 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. The Boeing Company has an exciting opportunity for Mission Systems Software Developer (Experienced & Senior) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. To learn more, take a look at our video: Our Air Dominance software engineers design, develop, and demonstrate avionics solutions for the platforms we build and upgrade. Your efforts will assist integration of innovative technologies to maintain our platform's dominance over the battlefield for many decades to come. Additionally, our software engineers support the Flight Simulation products associated to our platforms. Our engineers are involved in all aspects of these programs (software requirements, design, code, and test) and our agile development approach allows new hires like yourself to quickly become very impactful and make a difference to our success! To learn more about Boeing Software Engineering, take a look at our video: Our teams are currently hiring for a broad range of experience levels including; Experienced and Senior Level Software Developer Engineers. Position Responsibilities: Supporting software development on agile teams which are tasked with integrating/implementing solutions onto a platform Developing high fidelity simulation and environment software and tool sets to enable rapid development, test, and deployment of high-quality software solutions for the war-fighter, and many others Uses analytical problem-solving skills to resolve problems for the company and suppliers Uses engineering skills to deliver improved weapon system capabilities to our customers Applies engineering knowledge to continuously improve processes and tools Applies knowledge of engineering principles to conduct analysis Documentation of Engineering Practices for replication, scaling and continuous improvement Working across program stakeholders and subject matter experts in various engineering disciplines (Operational Analysis, Software Engineering, Mission Systems Hardware, Flight Simulation, etc.) Technical leadership over supporting junior engineers This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Daytona Beach, FL. Required Qualifications (Required Skills/ Experience): 4 plus years' professional experience with any of the following software development languages: Ada, C, C++, C#, JAVA, and Python 3 plus years' experience working in a project where various software development methodologies are being utilizing Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Mathematics, or Physics, Computer Science, or other technical degree 5 + years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) Highest level U.S. security clearance currently hold or have held in the past 24 months Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels Experience developing embedded real-time software Experience developing models and simulation Experience developing Operational Flight Program (OFP) software for an aircraft platform Experience working with Real-time Operating Systems (RTOS) Experience with object-oriented analysis and design (OOAD) methodologies Experience with Agile software development Experience with open architecture constructs like Open Mission Systems (OMS), Open Communication Standard (OCS); utilizing the Universal Command and Control Interface (UCI) Experience developing and documenting software architecture using Cameo, or similar Model Based Systems Engineering tools Experience with configuration management and collaboration tools such as (or similar to) Git, JIRA, Collaborator, Beyond Compare and VersionOne Experience leading a project or technical team Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Experienced Engineer: $118,150.00 - $159,850.00. Summary pay range for Senior Engineer: $149,600.00 - $202,400.00. 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 Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
08/07/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for Mission Systems Software Developer (Experienced & Senior) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. To learn more, take a look at our video: Our Air Dominance software engineers design, develop, and demonstrate avionics solutions for the platforms we build and upgrade. Your efforts will assist integration of innovative technologies to maintain our platform's dominance over the battlefield for many decades to come. Additionally, our software engineers support the Flight Simulation products associated to our platforms. Our engineers are involved in all aspects of these programs (software requirements, design, code, and test) and our agile development approach allows new hires like yourself to quickly become very impactful and make a difference to our success! To learn more about Boeing Software Engineering, take a look at our video: Our teams are currently hiring for a broad range of experience levels including; Experienced and Senior Level Software Developer Engineers. Position Responsibilities: Supporting software development on agile teams which are tasked with integrating/implementing solutions onto a platform Developing high fidelity simulation and environment software and tool sets to enable rapid development, test, and deployment of high-quality software solutions for the war-fighter, and many others Uses analytical problem-solving skills to resolve problems for the company and suppliers Uses engineering skills to deliver improved weapon system capabilities to our customers Applies engineering knowledge to continuously improve processes and tools Applies knowledge of engineering principles to conduct analysis Documentation of Engineering Practices for replication, scaling and continuous improvement Working across program stakeholders and subject matter experts in various engineering disciplines (Operational Analysis, Software Engineering, Mission Systems Hardware, Flight Simulation, etc.) Technical leadership over supporting junior engineers This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Daytona Beach, FL. Required Qualifications (Required Skills/ Experience): 4 plus years' professional experience with any of the following software development languages: Ada, C, C++, C#, JAVA, and Python 3 plus years' experience working in a project where various software development methodologies are being utilizing Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Mathematics, or Physics, Computer Science, or other technical degree 5 + years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) Highest level U.S. security clearance currently hold or have held in the past 24 months Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels Experience developing embedded real-time software Experience developing models and simulation Experience developing Operational Flight Program (OFP) software for an aircraft platform Experience working with Real-time Operating Systems (RTOS) Experience with object-oriented analysis and design (OOAD) methodologies Experience with Agile software development Experience with open architecture constructs like Open Mission Systems (OMS), Open Communication Standard (OCS); utilizing the Universal Command and Control Interface (UCI) Experience developing and documenting software architecture using Cameo, or similar Model Based Systems Engineering tools Experience with configuration management and collaboration tools such as (or similar to) Git, JIRA, Collaborator, Beyond Compare and VersionOne Experience leading a project or technical team Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Experienced Engineer: $118,150.00 - $159,850.00. Summary pay range for Senior Engineer: $149,600.00 - $202,400.00. 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 Relocation Relocation assistance is not a negotiable benefit for this position. 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. The Boeing Company has an exciting opportunity for Mission Systems Software Developer (Experienced & Senior) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. To learn more, take a look at our video: Our Air Dominance software engineers design, develop, and demonstrate avionics solutions for the platforms we build and upgrade. Your efforts will assist integration of innovative technologies to maintain our platform's dominance over the battlefield for many decades to come. Additionally, our software engineers support the Flight Simulation products associated to our platforms. Our engineers are involved in all aspects of these programs (software requirements, design, code, and test) and our agile development approach allows new hires like yourself to quickly become very impactful and make a difference to our success! To learn more about Boeing Software Engineering, take a look at our video: Our teams are currently hiring for a broad range of experience levels including; Experienced and Senior Level Software Developer Engineers. Position Responsibilities: Supporting software development on agile teams which are tasked with integrating/implementing solutions onto a platform Developing high fidelity simulation and environment software and tool sets to enable rapid development, test, and deployment of high-quality software solutions for the war-fighter, and many others Uses analytical problem-solving skills to resolve problems for the company and suppliers Uses engineering skills to deliver improved weapon system capabilities to our customers Applies engineering knowledge to continuously improve processes and tools Applies knowledge of engineering principles to conduct analysis Documentation of Engineering Practices for replication, scaling and continuous improvement Working across program stakeholders and subject matter experts in various engineering disciplines (Operational Analysis, Software Engineering, Mission Systems Hardware, Flight Simulation, etc.) Technical leadership over supporting junior engineers This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Daytona Beach, FL. Required Qualifications (Required Skills/ Experience): 4 plus years' professional experience with any of the following software development languages: Ada, C, C++, C#, JAVA, and Python 3 plus years' experience working in a project where various software development methodologies are being utilizing Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Mathematics, or Physics, Computer Science, or other technical degree 5 + years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) Highest level U.S. security clearance currently hold or have held in the past 24 months Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels Experience developing embedded real-time software Experience developing models and simulation Experience developing Operational Flight Program (OFP) software for an aircraft platform Experience working with Real-time Operating Systems (RTOS) Experience with object-oriented analysis and design (OOAD) methodologies Experience with Agile software development Experience with open architecture constructs like Open Mission Systems (OMS), Open Communication Standard (OCS); utilizing the Universal Command and Control Interface (UCI) Experience developing and documenting software architecture using Cameo, or similar Model Based Systems Engineering tools Experience with configuration management and collaboration tools such as (or similar to) Git, JIRA, Collaborator, Beyond Compare and VersionOne Experience leading a project or technical team Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Experienced Engineer: $118,150.00 - $159,850.00. Summary pay range for Senior Engineer: $149,600.00 - $202,400.00. 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 Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
08/07/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for Mission Systems Software Developer (Experienced & Senior) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. To learn more, take a look at our video: Our Air Dominance software engineers design, develop, and demonstrate avionics solutions for the platforms we build and upgrade. Your efforts will assist integration of innovative technologies to maintain our platform's dominance over the battlefield for many decades to come. Additionally, our software engineers support the Flight Simulation products associated to our platforms. Our engineers are involved in all aspects of these programs (software requirements, design, code, and test) and our agile development approach allows new hires like yourself to quickly become very impactful and make a difference to our success! To learn more about Boeing Software Engineering, take a look at our video: Our teams are currently hiring for a broad range of experience levels including; Experienced and Senior Level Software Developer Engineers. Position Responsibilities: Supporting software development on agile teams which are tasked with integrating/implementing solutions onto a platform Developing high fidelity simulation and environment software and tool sets to enable rapid development, test, and deployment of high-quality software solutions for the war-fighter, and many others Uses analytical problem-solving skills to resolve problems for the company and suppliers Uses engineering skills to deliver improved weapon system capabilities to our customers Applies engineering knowledge to continuously improve processes and tools Applies knowledge of engineering principles to conduct analysis Documentation of Engineering Practices for replication, scaling and continuous improvement Working across program stakeholders and subject matter experts in various engineering disciplines (Operational Analysis, Software Engineering, Mission Systems Hardware, Flight Simulation, etc.) Technical leadership over supporting junior engineers This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Daytona Beach, FL. Required Qualifications (Required Skills/ Experience): 4 plus years' professional experience with any of the following software development languages: Ada, C, C++, C#, JAVA, and Python 3 plus years' experience working in a project where various software development methodologies are being utilizing Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Mathematics, or Physics, Computer Science, or other technical degree 5 + years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) Highest level U.S. security clearance currently hold or have held in the past 24 months Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels Experience developing embedded real-time software Experience developing models and simulation Experience developing Operational Flight Program (OFP) software for an aircraft platform Experience working with Real-time Operating Systems (RTOS) Experience with object-oriented analysis and design (OOAD) methodologies Experience with Agile software development Experience with open architecture constructs like Open Mission Systems (OMS), Open Communication Standard (OCS); utilizing the Universal Command and Control Interface (UCI) Experience developing and documenting software architecture using Cameo, or similar Model Based Systems Engineering tools Experience with configuration management and collaboration tools such as (or similar to) Git, JIRA, Collaborator, Beyond Compare and VersionOne Experience leading a project or technical team Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Experienced Engineer: $118,150.00 - $159,850.00. Summary pay range for Senior Engineer: $149,600.00 - $202,400.00. 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 Relocation Relocation assistance is not a negotiable benefit for this position. 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.
Midwest Family Mutual Insurance Company
Urbandale, Iowa
Description: Position Summary The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort. The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality. Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment. Application Requirements Cover Letter and Resume: Please include the following in your cover letter A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality Your approach to reducing incorrect or unsupported outputs An example of how you supported other developers or teams in adopting AI capabilities Your physical remote work location state Salary expectations Responsibilities: Platform Architecture & Evolution : Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes. Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production. RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources. Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior. Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns. Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate. Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling. Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production. Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed. Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches. Research & Evaluation: Stay current with new models and tools. Evaluate them in a structured way and recommend adoption where appropriate. Requirements: Education & Certification College degree or Programming Certification (preferred) 5+ years of equivalent work experience Required Experience Experience building or working with AI/LLM-based systems in a production or near-production environment Strong understanding of agent-based patterns (ReAct, tool usage, etc.) Experience with retrieval-based systems (RAG), vector stores, or search pipelines Familiarity with evaluating non-deterministic system outputs Experience improving system quality through testing and iteration Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred Ability to work across technologies and integrate AI solutions into an existing enterprise environment Preferred Experience Experience working with multiple LLM providers Familiarity with emerging tools and frameworks in the agentic AI space Experience integrating with enterprise systems and data sources Experience mentoring or supporting other developers Personal Attributes Strategic thinker with strong analytical and problem-solving skills Technically proficient with broad systems knowledge Excellent interpersonal, written, and verbal communication skills Self-directed, collaborative, and highly organized Customer-oriented and able to navigate high-pressure environments Flexible and adaptable in regards to learning and understanding new technologies. Exceptional organizational skills and ability to keep track of multiple projects at a time. Ability to conduct research into software-related issues and products. Technically proficient. Exceptional attention to detail. Ability to work both independently and in a team-oriented, collaborative environment. Work Conditions Remote work environment following core hours 8AM-5PM Central Time Overtime may be required to meet project deadlines or monitor system processes. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices. Minimal travel will be required for the purpose of off-site software training and team meetings. Physically able to participate in virtual and in-person training sessions, presentations, and meetings. PI6a59fdda4e68-4236
08/07/2026
Full time
Description: Position Summary The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort. The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality. Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment. Application Requirements Cover Letter and Resume: Please include the following in your cover letter A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality Your approach to reducing incorrect or unsupported outputs An example of how you supported other developers or teams in adopting AI capabilities Your physical remote work location state Salary expectations Responsibilities: Platform Architecture & Evolution : Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes. Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production. RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources. Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior. Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns. Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate. Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling. Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production. Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed. Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches. Research & Evaluation: Stay current with new models and tools. Evaluate them in a structured way and recommend adoption where appropriate. Requirements: Education & Certification College degree or Programming Certification (preferred) 5+ years of equivalent work experience Required Experience Experience building or working with AI/LLM-based systems in a production or near-production environment Strong understanding of agent-based patterns (ReAct, tool usage, etc.) Experience with retrieval-based systems (RAG), vector stores, or search pipelines Familiarity with evaluating non-deterministic system outputs Experience improving system quality through testing and iteration Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred Ability to work across technologies and integrate AI solutions into an existing enterprise environment Preferred Experience Experience working with multiple LLM providers Familiarity with emerging tools and frameworks in the agentic AI space Experience integrating with enterprise systems and data sources Experience mentoring or supporting other developers Personal Attributes Strategic thinker with strong analytical and problem-solving skills Technically proficient with broad systems knowledge Excellent interpersonal, written, and verbal communication skills Self-directed, collaborative, and highly organized Customer-oriented and able to navigate high-pressure environments Flexible and adaptable in regards to learning and understanding new technologies. Exceptional organizational skills and ability to keep track of multiple projects at a time. Ability to conduct research into software-related issues and products. Technically proficient. Exceptional attention to detail. Ability to work both independently and in a team-oriented, collaborative environment. Work Conditions Remote work environment following core hours 8AM-5PM Central Time Overtime may be required to meet project deadlines or monitor system processes. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices. Minimal travel will be required for the purpose of off-site software training and team meetings. Physically able to participate in virtual and in-person training sessions, presentations, and meetings. PI6a59fdda4e68-4236
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 has an exciting opportunity for Mission Systems Software Developer (Experienced & Senior) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. To learn more, take a look at our video: Our Air Dominance software engineers design, develop, and demonstrate avionics solutions for the platforms we build and upgrade. Your efforts will assist integration of innovative technologies to maintain our platform's dominance over the battlefield for many decades to come. Additionally, our software engineers support the Flight Simulation products associated to our platforms. Our engineers are involved in all aspects of these programs (software requirements, design, code, and test) and our agile development approach allows new hires like yourself to quickly become very impactful and make a difference to our success! To learn more about Boeing Software Engineering, take a look at our video: Our teams are currently hiring for a broad range of experience levels including; Experienced and Senior Level Software Developer Engineers. Position Responsibilities: Supporting software development on agile teams which are tasked with integrating/implementing solutions onto a platform Developing high fidelity simulation and environment software and tool sets to enable rapid development, test, and deployment of high-quality software solutions for the war-fighter, and many others Uses analytical problem-solving skills to resolve problems for the company and suppliers Uses engineering skills to deliver improved weapon system capabilities to our customers Applies engineering knowledge to continuously improve processes and tools Applies knowledge of engineering principles to conduct analysis Documentation of Engineering Practices for replication, scaling and continuous improvement Working across program stakeholders and subject matter experts in various engineering disciplines (Operational Analysis, Software Engineering, Mission Systems Hardware, Flight Simulation, etc.) Technical leadership over supporting junior engineers This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Daytona Beach, FL. Required Qualifications (Required Skills/ Experience): 4 plus years' professional experience with any of the following software development languages: Ada, C, C++, C#, JAVA, and Python 3 plus years' experience working in a project where various software development methodologies are being utilizing Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Mathematics, or Physics, Computer Science, or other technical degree 5 + years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) Highest level U.S. security clearance currently hold or have held in the past 24 months Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels Experience developing embedded real-time software Experience developing models and simulation Experience developing Operational Flight Program (OFP) software for an aircraft platform Experience working with Real-time Operating Systems (RTOS) Experience with object-oriented analysis and design (OOAD) methodologies Experience with Agile software development Experience with open architecture constructs like Open Mission Systems (OMS), Open Communication Standard (OCS); utilizing the Universal Command and Control Interface (UCI) Experience developing and documenting software architecture using Cameo, or similar Model Based Systems Engineering tools Experience with configuration management and collaboration tools such as (or similar to) Git, JIRA, Collaborator, Beyond Compare and VersionOne Experience leading a project or technical team Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Experienced Engineer: $118,150.00 - $159,850.00. Summary pay range for Senior Engineer: $149,600.00 - $202,400.00. 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 Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
08/07/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for Mission Systems Software Developer (Experienced & Senior) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. To learn more, take a look at our video: Our Air Dominance software engineers design, develop, and demonstrate avionics solutions for the platforms we build and upgrade. Your efforts will assist integration of innovative technologies to maintain our platform's dominance over the battlefield for many decades to come. Additionally, our software engineers support the Flight Simulation products associated to our platforms. Our engineers are involved in all aspects of these programs (software requirements, design, code, and test) and our agile development approach allows new hires like yourself to quickly become very impactful and make a difference to our success! To learn more about Boeing Software Engineering, take a look at our video: Our teams are currently hiring for a broad range of experience levels including; Experienced and Senior Level Software Developer Engineers. Position Responsibilities: Supporting software development on agile teams which are tasked with integrating/implementing solutions onto a platform Developing high fidelity simulation and environment software and tool sets to enable rapid development, test, and deployment of high-quality software solutions for the war-fighter, and many others Uses analytical problem-solving skills to resolve problems for the company and suppliers Uses engineering skills to deliver improved weapon system capabilities to our customers Applies engineering knowledge to continuously improve processes and tools Applies knowledge of engineering principles to conduct analysis Documentation of Engineering Practices for replication, scaling and continuous improvement Working across program stakeholders and subject matter experts in various engineering disciplines (Operational Analysis, Software Engineering, Mission Systems Hardware, Flight Simulation, etc.) Technical leadership over supporting junior engineers This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Daytona Beach, FL. Required Qualifications (Required Skills/ Experience): 4 plus years' professional experience with any of the following software development languages: Ada, C, C++, C#, JAVA, and Python 3 plus years' experience working in a project where various software development methodologies are being utilizing Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Mathematics, or Physics, Computer Science, or other technical degree 5 + years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) Highest level U.S. security clearance currently hold or have held in the past 24 months Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels Experience developing embedded real-time software Experience developing models and simulation Experience developing Operational Flight Program (OFP) software for an aircraft platform Experience working with Real-time Operating Systems (RTOS) Experience with object-oriented analysis and design (OOAD) methodologies Experience with Agile software development Experience with open architecture constructs like Open Mission Systems (OMS), Open Communication Standard (OCS); utilizing the Universal Command and Control Interface (UCI) Experience developing and documenting software architecture using Cameo, or similar Model Based Systems Engineering tools Experience with configuration management and collaboration tools such as (or similar to) Git, JIRA, Collaborator, Beyond Compare and VersionOne Experience leading a project or technical team Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Experienced Engineer: $118,150.00 - $159,850.00. Summary pay range for Senior Engineer: $149,600.00 - $202,400.00. 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 Relocation Relocation assistance is not a negotiable benefit for this position. 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.
Location: Atlanta, GeorgiaJob Type: PermanentCompensation Range: $95,000 - 110,000 per yearWe are looking for an innovator to lead the digital evolution and optimize the online presence for a portfolio of highly visible consumer initiatives at an industry-leading real estate developer. This opportunity is designed for someone who cares deeply about leveraging an advanced tech stack, elevating a renowned brand's reputation, and maintaining a healthy work-life balance.In this dynamic, high-visibility role, you will drive comprehensive digital strategy, integrate cutting-edge AI solutions, and craft a seamless customer journey. Responsibilities:Lead comprehensive website strategy and SEO initiatives to significantly improve organic search visibility and digital performance.Identify and responsibly integrate emerging AI tools to enhance the overall customer experience and marketing operational efficiency.Manage an enterprise CMS platform and related web-based tools to ensure accurate content governance and optimal site infrastructure.Direct cross-functional teams in deploying scalable digital enhancements, complex martech integrations, and continuous A/B testing.Own site conversion optimization by analyzing key user metrics, prioritizing journey friction points, and scaling successful site improvements.Qualifications:5+ years of digital marketing and website strategy experience driving performance initiatives for large-scale, consumer-facing brands.Hands-on expertise managing enterprise CMS platforms, overseeing local discoverability, and driving targeted SEO content optimization.Strong analytical mindset with proven proficiency in web analytics, reporting, tag management, and conversion rate optimization (CRO) principles.Exceptional cross-functional leadership skills with the ability to independently evaluate and implement emerging AI marketing tools.Bonus Points: Prior experience specifically utilizing Optimizely and leveraging AI-enabled automation tools for enhanced marketing workflows.JOBID: 36 Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Cella, a randstad digital company, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Cella by randstad digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.
08/07/2026
Full time
Location: Atlanta, GeorgiaJob Type: PermanentCompensation Range: $95,000 - 110,000 per yearWe are looking for an innovator to lead the digital evolution and optimize the online presence for a portfolio of highly visible consumer initiatives at an industry-leading real estate developer. This opportunity is designed for someone who cares deeply about leveraging an advanced tech stack, elevating a renowned brand's reputation, and maintaining a healthy work-life balance.In this dynamic, high-visibility role, you will drive comprehensive digital strategy, integrate cutting-edge AI solutions, and craft a seamless customer journey. Responsibilities:Lead comprehensive website strategy and SEO initiatives to significantly improve organic search visibility and digital performance.Identify and responsibly integrate emerging AI tools to enhance the overall customer experience and marketing operational efficiency.Manage an enterprise CMS platform and related web-based tools to ensure accurate content governance and optimal site infrastructure.Direct cross-functional teams in deploying scalable digital enhancements, complex martech integrations, and continuous A/B testing.Own site conversion optimization by analyzing key user metrics, prioritizing journey friction points, and scaling successful site improvements.Qualifications:5+ years of digital marketing and website strategy experience driving performance initiatives for large-scale, consumer-facing brands.Hands-on expertise managing enterprise CMS platforms, overseeing local discoverability, and driving targeted SEO content optimization.Strong analytical mindset with proven proficiency in web analytics, reporting, tag management, and conversion rate optimization (CRO) principles.Exceptional cross-functional leadership skills with the ability to independently evaluate and implement emerging AI marketing tools.Bonus Points: Prior experience specifically utilizing Optimizely and leveraging AI-enabled automation tools for enhanced marketing workflows.JOBID: 36 Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Cella, a randstad digital company, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Cella by randstad digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.
Tech Summary This senior-level individual contributor serves within Kaiser Permanente's Container Platform and Adoption Services organization, which provides an integrated enterprise container platform service across on-premises and public-cloud environments. The department enables application and technology teams to modernize workloads, adopt consistent deployment practices, and operate business-critical services with strong reliability, security, compliance, and operational readiness. The Senior Container Platform Engineer is a hands-on engineering partner responsible for designing, building, enhancing, and supporting reusable platform capabilities that simplify application onboarding and improve the developer experience. The position works closely with application teams and partners across cloud engineering, infrastructure, cybersecurity, networking, observability, reliability engineering, and development automation to translate enterprise needs into secure, scalable, and supportable solutions. The role contributes to automation, standardized onboarding patterns, platform lifecycle improvements, production troubleshooting, and continuous service improvement across shared and dedicated container environments. By combining platform engineering with application enablement and production ownership, this position helps reduce one-off implementations, improve delivery consistency, and expand adoption of the enterprise container service for teams supporting mission-critical healthcare capabilities. Job Summary: This senior level employee is primarily responsible for providing expert technical advice on IT infrastructure for assigned systems, setting the technical direction for infrastructure solutions, and for serving as a technical expert for project teams while mentoring and advising others in all system development lifecycle phases. 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. As part of the IT Engineering job family, this position is responsible for leveraging DEVOPS, and both Waterfall and Agile practices, to design, develop, and deliver resilient, secure, multi-channel, high-volume, high-transaction, on/off-premise, cloud-based solutions. Provides consultation and expert technical advice on IT infrastructure planning, engineering, and architecture for assigned systems by assessing the implications of IT strategies on infrastructure capabilities. Provides some recommendations and input on options, risks, costs, and benefits for systems designs. Leverages partnerships with IT teams and key business partners to troubleshoot complex systems. Serves as a functional expert and collaborates with architects and software engineers to ensure functional specifications are converted into flexible, scalable, and maintainable system designs. Translates business requirements, and functional and non-functional requirements, into technical specifications that support integrated and sustainable designs for complex or high impact infrastructure systems by partnering with Business Analysts to understand business needs and functional specifications. Ensures system designs adhere to company architecture standards. Builds partnerships with counterparts in various IT Teams (e.g., database, operations, technical support) throughout system development and implementation. Serves as a technical expert for project teams throughout the implementation and maintenance of assigned enterprise infrastructure systems by defining and overseeing the documentation of detailed standards (e.g., guidelines, processes, procedures) for the introduction and maintenance of services. Mentors other technical resources throughout infrastructure systems development. Reviews and validates technical specifications and documentation for complex or multi-dimensional solutions. Leads the development and modification of solutions by identifying technical solutions to business problems. Collaborates with business leaders, Solutions, and lead enterprise architects to review business drivers, and establish a foundation for enterprise systems planning. Reviews benchmarking results, and provides information to support current and future infrastructure needs and projects to IT leadership. Provides preliminary conclusions. Benchmarks and evaluates IT trends and technologies to identify opportunities and considerations that impact ROI. Makes recommendations on resources required to maintain service levels and meet new demands. Guides and drives physical architecture design for new initiatives. Minimum Qualifications: Minimum two (2) years in a technical leadership role with or without direct reports. Bachelors degree in Computer Science, CIS, or related field and Minimum eight (8) years experience in an IT operations environment with technical experience in distributed technologies, systems development, and/or networking. Additional equivalent work experience may be substituted for the degree requirement. Additional Requirements:
08/07/2026
Full time
Tech Summary This senior-level individual contributor serves within Kaiser Permanente's Container Platform and Adoption Services organization, which provides an integrated enterprise container platform service across on-premises and public-cloud environments. The department enables application and technology teams to modernize workloads, adopt consistent deployment practices, and operate business-critical services with strong reliability, security, compliance, and operational readiness. The Senior Container Platform Engineer is a hands-on engineering partner responsible for designing, building, enhancing, and supporting reusable platform capabilities that simplify application onboarding and improve the developer experience. The position works closely with application teams and partners across cloud engineering, infrastructure, cybersecurity, networking, observability, reliability engineering, and development automation to translate enterprise needs into secure, scalable, and supportable solutions. The role contributes to automation, standardized onboarding patterns, platform lifecycle improvements, production troubleshooting, and continuous service improvement across shared and dedicated container environments. By combining platform engineering with application enablement and production ownership, this position helps reduce one-off implementations, improve delivery consistency, and expand adoption of the enterprise container service for teams supporting mission-critical healthcare capabilities. Job Summary: This senior level employee is primarily responsible for providing expert technical advice on IT infrastructure for assigned systems, setting the technical direction for infrastructure solutions, and for serving as a technical expert for project teams while mentoring and advising others in all system development lifecycle phases. 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. As part of the IT Engineering job family, this position is responsible for leveraging DEVOPS, and both Waterfall and Agile practices, to design, develop, and deliver resilient, secure, multi-channel, high-volume, high-transaction, on/off-premise, cloud-based solutions. Provides consultation and expert technical advice on IT infrastructure planning, engineering, and architecture for assigned systems by assessing the implications of IT strategies on infrastructure capabilities. Provides some recommendations and input on options, risks, costs, and benefits for systems designs. Leverages partnerships with IT teams and key business partners to troubleshoot complex systems. Serves as a functional expert and collaborates with architects and software engineers to ensure functional specifications are converted into flexible, scalable, and maintainable system designs. Translates business requirements, and functional and non-functional requirements, into technical specifications that support integrated and sustainable designs for complex or high impact infrastructure systems by partnering with Business Analysts to understand business needs and functional specifications. Ensures system designs adhere to company architecture standards. Builds partnerships with counterparts in various IT Teams (e.g., database, operations, technical support) throughout system development and implementation. Serves as a technical expert for project teams throughout the implementation and maintenance of assigned enterprise infrastructure systems by defining and overseeing the documentation of detailed standards (e.g., guidelines, processes, procedures) for the introduction and maintenance of services. Mentors other technical resources throughout infrastructure systems development. Reviews and validates technical specifications and documentation for complex or multi-dimensional solutions. Leads the development and modification of solutions by identifying technical solutions to business problems. Collaborates with business leaders, Solutions, and lead enterprise architects to review business drivers, and establish a foundation for enterprise systems planning. Reviews benchmarking results, and provides information to support current and future infrastructure needs and projects to IT leadership. Provides preliminary conclusions. Benchmarks and evaluates IT trends and technologies to identify opportunities and considerations that impact ROI. Makes recommendations on resources required to maintain service levels and meet new demands. Guides and drives physical architecture design for new initiatives. Minimum Qualifications: Minimum two (2) years in a technical leadership role with or without direct reports. Bachelors degree in Computer Science, CIS, or related field and Minimum eight (8) years experience in an IT operations environment with technical experience in distributed technologies, systems development, and/or networking. Additional equivalent work experience may be substituted for the degree requirement. Additional Requirements:
Kaiser Permanente seeks a Systems Administrator IV, Applications to support and optimize enterprise healthcare applications. In this senior role, you'll manage application servers, middleware, and integrations to ensure high availability, performance, and security. Responsibilities include monitoring, incident resolution, patching, and upgrades, as well as automation of deployment and configuration tasks. You'll collaborate with developers, security, and network teams to troubleshoot complex issues, improve reliability, and enhance the application stack. This position also mentors junior admins, documents standards, and contributes to architectural planning and continuous improvement.
08/06/2026
Full time
Kaiser Permanente seeks a Systems Administrator IV, Applications to support and optimize enterprise healthcare applications. In this senior role, you'll manage application servers, middleware, and integrations to ensure high availability, performance, and security. Responsibilities include monitoring, incident resolution, patching, and upgrades, as well as automation of deployment and configuration tasks. You'll collaborate with developers, security, and network teams to troubleshoot complex issues, improve reliability, and enhance the application stack. This position also mentors junior admins, documents standards, and contributes to architectural planning and continuous improvement.
Urban Redevelopment Authority of Pittsburgh
Pittsburgh, Pennsylvania
This Client Relations Specialist serves as the primary administrative support professional within the Housing Department at the Urban Redevelopment Authority of Pittsburgh (URA). The Housing Department provides a portfolio of housing programs to both developers and consumers in the City of Pittsburgh while also partnering with a non-profit URA affiliate that specializes in single-family for sale housing development. The Client Relations Specialist is responsible for providing a responsive, compassionate, and accessible front door for clients seeking to access the programs and services of the Housing Department. The primary responsibilities include providing administrative support for the housing programs, coordinating a central intake process for departmental communications, and maintaining client records and files. The Client Relations Specialist will also provide administrative support to the department leadership and staff. Job title: Client Relations Specialist Department: Housing Department Divisional Unit: Lending & Investments Starting Salary: $50,000 Annually Reports to: Senior Director of Real Estate Essential Functions and Responsibilities: Efficiently service a high call and high email volume daily while providing a professional and compassionate customer service experience Serve as the lead on housing intake and consultation process and facilitate referrals for potential clients to appropriate URA programs or to URA external partners relevant to the specific needs of the individual's circumstances Assist with general administrative tasks for various programs which may include check requests, scheduling and meeting coordination, large mailings, data entry into various systems, running reports from various systems, maintain invoicing systems, draft marketing materials, maintain system databases such as SharePoint, NetSuite, Portfol, scanning, copying, creating PowerPoints, etc. Coordinate centralized intake process with department leadership for residential & consumer programs and maintain intake records as a part of our NetSuite database for all client inquiries and applications. Assist in the coordination and execution of all departmental in-person application and orientation events Assist in the taking of meeting minutes for relevant advisory board meetings. Assist in the preparation of relevant advisory board meeting materials and presentations. Assist with tracking and making edits to various systems like but not limited to budget trackers and the URA website. Attend community meetings, assist in presenting housing programs, and/or help department organize and lead outreach events including all Housing Opportunity Fund survey events. Assist with the utilization of federal invoicing systems. Other duties as assigned. Position Requirements and Qualifications: High School Diploma and Five (5) OR Associate's Degree and Two (2) years of experience in customer service, client support, operations, or administrative support roles. Experience coordinating meetings and events and attention to timeliness on all work products. Excellent communication skills, including verbal, written, and public speaking Experience in MS Office Suite products, including SharePoint Ability to work some weekend hours for community outreach events (5%) Preferred Qualifications: Bachelor's Degree in Public Policy, Social Work, Business, Communications, Public Relations, or a related field. Customer Relationship Management (CRM) database experience Interest in affordable housing concepts and programs Experience in a lending, banking, financial management, clinical, or social services setting preferred Physical Requirements: Ability to safely and successfully perform the essential job functions consistent with the ADA, including travel to County and City offices Must be able to lift and carry up to 20 lbs., standing, sitting, reaching and stretching. Must be able to talk, listen and speak clearly on telephone. Disclaimers: The URA is an equal opportunity affirmative action employer. All qualified applicants will receive consideration without regard to race, religion, color, gender, age, national origin, ancestry, disability, sexual orientation, g ender identity/expression, political, and/or union affiliation. AN APPLICANT MUST BE A CITY OF PITTSBURGH RESIDENT OR BECOME ONE AS A CONDITION OF EMPLOYMENT AT THE URA. PM22 Compensation details: 0 Yearly Salary PI6085ac2f5-
08/06/2026
Full time
This Client Relations Specialist serves as the primary administrative support professional within the Housing Department at the Urban Redevelopment Authority of Pittsburgh (URA). The Housing Department provides a portfolio of housing programs to both developers and consumers in the City of Pittsburgh while also partnering with a non-profit URA affiliate that specializes in single-family for sale housing development. The Client Relations Specialist is responsible for providing a responsive, compassionate, and accessible front door for clients seeking to access the programs and services of the Housing Department. The primary responsibilities include providing administrative support for the housing programs, coordinating a central intake process for departmental communications, and maintaining client records and files. The Client Relations Specialist will also provide administrative support to the department leadership and staff. Job title: Client Relations Specialist Department: Housing Department Divisional Unit: Lending & Investments Starting Salary: $50,000 Annually Reports to: Senior Director of Real Estate Essential Functions and Responsibilities: Efficiently service a high call and high email volume daily while providing a professional and compassionate customer service experience Serve as the lead on housing intake and consultation process and facilitate referrals for potential clients to appropriate URA programs or to URA external partners relevant to the specific needs of the individual's circumstances Assist with general administrative tasks for various programs which may include check requests, scheduling and meeting coordination, large mailings, data entry into various systems, running reports from various systems, maintain invoicing systems, draft marketing materials, maintain system databases such as SharePoint, NetSuite, Portfol, scanning, copying, creating PowerPoints, etc. Coordinate centralized intake process with department leadership for residential & consumer programs and maintain intake records as a part of our NetSuite database for all client inquiries and applications. Assist in the coordination and execution of all departmental in-person application and orientation events Assist in the taking of meeting minutes for relevant advisory board meetings. Assist in the preparation of relevant advisory board meeting materials and presentations. Assist with tracking and making edits to various systems like but not limited to budget trackers and the URA website. Attend community meetings, assist in presenting housing programs, and/or help department organize and lead outreach events including all Housing Opportunity Fund survey events. Assist with the utilization of federal invoicing systems. Other duties as assigned. Position Requirements and Qualifications: High School Diploma and Five (5) OR Associate's Degree and Two (2) years of experience in customer service, client support, operations, or administrative support roles. Experience coordinating meetings and events and attention to timeliness on all work products. Excellent communication skills, including verbal, written, and public speaking Experience in MS Office Suite products, including SharePoint Ability to work some weekend hours for community outreach events (5%) Preferred Qualifications: Bachelor's Degree in Public Policy, Social Work, Business, Communications, Public Relations, or a related field. Customer Relationship Management (CRM) database experience Interest in affordable housing concepts and programs Experience in a lending, banking, financial management, clinical, or social services setting preferred Physical Requirements: Ability to safely and successfully perform the essential job functions consistent with the ADA, including travel to County and City offices Must be able to lift and carry up to 20 lbs., standing, sitting, reaching and stretching. Must be able to talk, listen and speak clearly on telephone. Disclaimers: The URA is an equal opportunity affirmative action employer. All qualified applicants will receive consideration without regard to race, religion, color, gender, age, national origin, ancestry, disability, sexual orientation, g ender identity/expression, political, and/or union affiliation. AN APPLICANT MUST BE A CITY OF PITTSBURGH RESIDENT OR BECOME ONE AS A CONDITION OF EMPLOYMENT AT THE URA. PM22 Compensation details: 0 Yearly Salary PI6085ac2f5-
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/04/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
