JOB TITLE: Hadoop Developer JOB LOCATION: Jacksonville, FL m(hybrid) WAGE RANGE : 55 - 60/ hour JOB NUMBER: 20499 JOB DESCRIPTION A Hadoop developer is responsible for the design, development and operations of systems that store and manage large amounts of data. Most Hadoop developers have a computer software background and have a degree in information systems, software engineering, computer science, or mathematics. IT Developers are responsible for development, programming, coding of Information Technology solutions. IT Developers are responsible for documenting detailed system specifications, participation in unit testing and maintenance of planned and unplanned internally developed applications, evaluation and performance testing of purchased products. IT Developers are responsible for including IT Controls to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application. IT Developers are assigned to moderately complex development projects. Essential Functions: • Write code for moderately complex system designs. Write programs that span platforms. Code and/or create Application Programming Interfaces (APIs). • Write code for enhancing existing programs or developing new programs. • Review code developed by other IT Developers. • Provide input to and drive programming standards. • Write detailed technical specifications for subsystems. Identify integration points. • Report missing elements found in system and functional requirements and explain impacts on subsystem to team members. • Consult with other IT Developers, Business Analysts, Systems Analysts, Project Managers and vendors. • "Scope" time, resources, etc., required to complete programming projects. Seek review from other IT Developers, Business Analysts, Systems Analysts or Project Managers on estimates. • Perform unit testing and debugging. Set test conditions based upon code specifications. May need assistance from other IT Developers and team members to debug more complex errors. • Supports transition of application throughout the Product Development life cycle. Document what has to be migrated. May require more coordination points for subsystems. • Researches vendor products / alternatives. Conducts vendor product gap analysis / comparison. • Accountable for including IT Controls and following standard corporate practices to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application. • The essential functions listed represent the major duties of this role, additional duties may be assigned. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
08/07/2026
Full time
JOB TITLE: Hadoop Developer JOB LOCATION: Jacksonville, FL m(hybrid) WAGE RANGE : 55 - 60/ hour JOB NUMBER: 20499 JOB DESCRIPTION A Hadoop developer is responsible for the design, development and operations of systems that store and manage large amounts of data. Most Hadoop developers have a computer software background and have a degree in information systems, software engineering, computer science, or mathematics. IT Developers are responsible for development, programming, coding of Information Technology solutions. IT Developers are responsible for documenting detailed system specifications, participation in unit testing and maintenance of planned and unplanned internally developed applications, evaluation and performance testing of purchased products. IT Developers are responsible for including IT Controls to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application. IT Developers are assigned to moderately complex development projects. Essential Functions: • Write code for moderately complex system designs. Write programs that span platforms. Code and/or create Application Programming Interfaces (APIs). • Write code for enhancing existing programs or developing new programs. • Review code developed by other IT Developers. • Provide input to and drive programming standards. • Write detailed technical specifications for subsystems. Identify integration points. • Report missing elements found in system and functional requirements and explain impacts on subsystem to team members. • Consult with other IT Developers, Business Analysts, Systems Analysts, Project Managers and vendors. • "Scope" time, resources, etc., required to complete programming projects. Seek review from other IT Developers, Business Analysts, Systems Analysts or Project Managers on estimates. • Perform unit testing and debugging. Set test conditions based upon code specifications. May need assistance from other IT Developers and team members to debug more complex errors. • Supports transition of application throughout the Product Development life cycle. Document what has to be migrated. May require more coordination points for subsystems. • Researches vendor products / alternatives. Conducts vendor product gap analysis / comparison. • Accountable for including IT Controls and following standard corporate practices to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application. • The essential functions listed represent the major duties of this role, additional duties may be assigned. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
The Senior Application Software Developer will design, develop, and maintain high-quality software applications to support the company's technology initiatives in the financial services industry. This role is based in Plymouth Meeting and focuses on delivering reliable and innovative solutions within the technology department. Client Details A company operating in the financial services industry, located in Plymouth Meeting. Description Develop and maintain software applications to meet business requirements. Collaborate with cross-functional teams to gather and analyze system requirements. Write clean, scalable, and efficient code following best practices. Conduct code reviews to ensure code quality and adherence to standards. Identify and troubleshoot software issues, providing timely resolutions. Test and debug applications to ensure optimal performance and reliability. Document application designs, technical specifications, and user guides. Stay updated with emerging technologies and incorporate them when appropriate. MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Profile Full-Stack Development & Platforms: 6+ years of application development/support experience, with hands-on expertise in Node.js, React, SQL, Power Platform, Salesforce configuration/integration, and web-based software solutions. Integration, Cloud & DevOps: Experience building and supporting system integrations using REST/SOAP APIs and third-party platforms, with knowledge of CI/CD practices and cloud environments such as AWS or Azure. Analysis, Support & Troubleshooting: Strong ability to translate business requirements into technical solutions, provide application support, troubleshoot/debug issues, optimize performance, and collaborate effectively with technical and non-technical stakeholders. Job Offer Comprehensive benefits package. 401(k) match program. Interested? Apply today. MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.
08/07/2026
Full time
The Senior Application Software Developer will design, develop, and maintain high-quality software applications to support the company's technology initiatives in the financial services industry. This role is based in Plymouth Meeting and focuses on delivering reliable and innovative solutions within the technology department. Client Details A company operating in the financial services industry, located in Plymouth Meeting. Description Develop and maintain software applications to meet business requirements. Collaborate with cross-functional teams to gather and analyze system requirements. Write clean, scalable, and efficient code following best practices. Conduct code reviews to ensure code quality and adherence to standards. Identify and troubleshoot software issues, providing timely resolutions. Test and debug applications to ensure optimal performance and reliability. Document application designs, technical specifications, and user guides. Stay updated with emerging technologies and incorporate them when appropriate. MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Profile Full-Stack Development & Platforms: 6+ years of application development/support experience, with hands-on expertise in Node.js, React, SQL, Power Platform, Salesforce configuration/integration, and web-based software solutions. Integration, Cloud & DevOps: Experience building and supporting system integrations using REST/SOAP APIs and third-party platforms, with knowledge of CI/CD practices and cloud environments such as AWS or Azure. Analysis, Support & Troubleshooting: Strong ability to translate business requirements into technical solutions, provide application support, troubleshoot/debug issues, optimize performance, and collaborate effectively with technical and non-technical stakeholders. Job Offer Comprehensive benefits package. 401(k) match program. Interested? Apply today. MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.
We are The Lighthouse within KPMGs Consulting practice. We tap into the power of emerging technologies and scientific breakthroughs to create solutions and products that address the largest and most complex issues faced by global companies. By blending technology with our industry expertise, we are able to harness the potential of Cloud, AI, ML, IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of business problems. Work with confidence knowing your ideas are heard and backed by one of the world's top professional services firms. Spark your curiosity and ignite your career at The Lighthouse. KPMG is currently seeking a Manager, Boomi Architect in for our Consulting practice. Responsibilities: Client Advisory & Integration Architecture: Lead discovery sessions to understand business needs and translating them into comprehensive integration architecture. Solution Design & Pattern Application: Architect end-to-end integration solutions by applying industry-standard integration design patterns (e.g., Publish/Subscribe, Message Routing, API-led connectivity, Batch/Real-time processing). API Management & Microservices: Design and govern enterprise API strategies, ensuring secure, scalable, and reusable API lifecycles using modern API management gateways. Mentorship: Mentor junior developers and engineering teams, conduct architecture reviews, and foster a culture of technical excellence. Technology Evaluation: Assess client landscapes and recommend appropriate integration tools (iPaaS, ESB, ETL, API Gateways) based on specific use cases and scalability requirements. Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: Minimum of five years of experience in enterprise software engineering, with at least 3+ years in a senior integration developer role. Bachelor's degree from an accredited college or university is required; Certifications in major integration platforms (e.g., MuleSoft Certified Integration Architect, Boomi Enterprise Architect) is preferred. Experience in a client-facing consulting role, with excellent communication, stakeholder management, and presentation skills. Deep understanding of integration design patterns, Event-Driven Architecture (EDA), and microservices; Expert knowledge of REST, SOAP, GraphQL, JSON, XML, EDI, and SQL. Strong grasp of modern authentication and security protocols (OAuth 2.0, OIDC, JWT, SAML). Extensive hands-on experience with leading enterprise integration platforms (e.g., MuleSoft, Boomi, Informatica, SnapLogic, Workato, or similar iPaaS/ESB solutions). Strong working knowledge of major cloud platforms (AWS, Azure, or GCP) and related cloud-native integration services (e.g., AWS SQS/SNS, Azure Service Bus, Pub/Sub); Experience with CI/CD pipelines and DevOps practices in an integration context. Ability to travel as needed Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
08/07/2026
Full time
We are The Lighthouse within KPMGs Consulting practice. We tap into the power of emerging technologies and scientific breakthroughs to create solutions and products that address the largest and most complex issues faced by global companies. By blending technology with our industry expertise, we are able to harness the potential of Cloud, AI, ML, IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of business problems. Work with confidence knowing your ideas are heard and backed by one of the world's top professional services firms. Spark your curiosity and ignite your career at The Lighthouse. KPMG is currently seeking a Manager, Boomi Architect in for our Consulting practice. Responsibilities: Client Advisory & Integration Architecture: Lead discovery sessions to understand business needs and translating them into comprehensive integration architecture. Solution Design & Pattern Application: Architect end-to-end integration solutions by applying industry-standard integration design patterns (e.g., Publish/Subscribe, Message Routing, API-led connectivity, Batch/Real-time processing). API Management & Microservices: Design and govern enterprise API strategies, ensuring secure, scalable, and reusable API lifecycles using modern API management gateways. Mentorship: Mentor junior developers and engineering teams, conduct architecture reviews, and foster a culture of technical excellence. Technology Evaluation: Assess client landscapes and recommend appropriate integration tools (iPaaS, ESB, ETL, API Gateways) based on specific use cases and scalability requirements. Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: Minimum of five years of experience in enterprise software engineering, with at least 3+ years in a senior integration developer role. Bachelor's degree from an accredited college or university is required; Certifications in major integration platforms (e.g., MuleSoft Certified Integration Architect, Boomi Enterprise Architect) is preferred. Experience in a client-facing consulting role, with excellent communication, stakeholder management, and presentation skills. Deep understanding of integration design patterns, Event-Driven Architecture (EDA), and microservices; Expert knowledge of REST, SOAP, GraphQL, JSON, XML, EDI, and SQL. Strong grasp of modern authentication and security protocols (OAuth 2.0, OIDC, JWT, SAML). Extensive hands-on experience with leading enterprise integration platforms (e.g., MuleSoft, Boomi, Informatica, SnapLogic, Workato, or similar iPaaS/ESB solutions). Strong working knowledge of major cloud platforms (AWS, Azure, or GCP) and related cloud-native integration services (e.g., AWS SQS/SNS, Azure Service Bus, Pub/Sub); Experience with CI/CD pipelines and DevOps practices in an integration context. Ability to travel as needed Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
We are The Lighthouse within KPMGs Consulting practice. We tap into the power of emerging technologies and scientific breakthroughs to create solutions and products that address the largest and most complex issues faced by global companies. By blending technology with our industry expertise, we are able to harness the potential of Cloud, AI, ML, IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of business problems. Work with confidence knowing your ideas are heard and backed by one of the world's top professional services firms. Spark your curiosity and ignite your career at The Lighthouse. KPMG is currently seeking a Manager, Boomi Architect in for our Consulting practice. Responsibilities: Client Advisory & Integration Architecture: Lead discovery sessions to understand business needs and translating them into comprehensive integration architecture. Solution Design & Pattern Application: Architect end-to-end integration solutions by applying industry-standard integration design patterns (e.g., Publish/Subscribe, Message Routing, API-led connectivity, Batch/Real-time processing). API Management & Microservices: Design and govern enterprise API strategies, ensuring secure, scalable, and reusable API lifecycles using modern API management gateways. Mentorship: Mentor junior developers and engineering teams, conduct architecture reviews, and foster a culture of technical excellence. Technology Evaluation: Assess client landscapes and recommend appropriate integration tools (iPaaS, ESB, ETL, API Gateways) based on specific use cases and scalability requirements. Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: Minimum of five years of experience in enterprise software engineering, with at least 3+ years in a senior integration developer role. Bachelor's degree from an accredited college or university is required; Certifications in major integration platforms (e.g., MuleSoft Certified Integration Architect, Boomi Enterprise Architect) is preferred. Experience in a client-facing consulting role, with excellent communication, stakeholder management, and presentation skills. Deep understanding of integration design patterns, Event-Driven Architecture (EDA), and microservices; Expert knowledge of REST, SOAP, GraphQL, JSON, XML, EDI, and SQL. Strong grasp of modern authentication and security protocols (OAuth 2.0, OIDC, JWT, SAML). Extensive hands-on experience with leading enterprise integration platforms (e.g., MuleSoft, Boomi, Informatica, SnapLogic, Workato, or similar iPaaS/ESB solutions). Strong working knowledge of major cloud platforms (AWS, Azure, or GCP) and related cloud-native integration services (e.g., AWS SQS/SNS, Azure Service Bus, Pub/Sub); Experience with CI/CD pipelines and DevOps practices in an integration context. Ability to travel as needed Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
08/07/2026
Full time
We are The Lighthouse within KPMGs Consulting practice. We tap into the power of emerging technologies and scientific breakthroughs to create solutions and products that address the largest and most complex issues faced by global companies. By blending technology with our industry expertise, we are able to harness the potential of Cloud, AI, ML, IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of business problems. Work with confidence knowing your ideas are heard and backed by one of the world's top professional services firms. Spark your curiosity and ignite your career at The Lighthouse. KPMG is currently seeking a Manager, Boomi Architect in for our Consulting practice. Responsibilities: Client Advisory & Integration Architecture: Lead discovery sessions to understand business needs and translating them into comprehensive integration architecture. Solution Design & Pattern Application: Architect end-to-end integration solutions by applying industry-standard integration design patterns (e.g., Publish/Subscribe, Message Routing, API-led connectivity, Batch/Real-time processing). API Management & Microservices: Design and govern enterprise API strategies, ensuring secure, scalable, and reusable API lifecycles using modern API management gateways. Mentorship: Mentor junior developers and engineering teams, conduct architecture reviews, and foster a culture of technical excellence. Technology Evaluation: Assess client landscapes and recommend appropriate integration tools (iPaaS, ESB, ETL, API Gateways) based on specific use cases and scalability requirements. Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: Minimum of five years of experience in enterprise software engineering, with at least 3+ years in a senior integration developer role. Bachelor's degree from an accredited college or university is required; Certifications in major integration platforms (e.g., MuleSoft Certified Integration Architect, Boomi Enterprise Architect) is preferred. Experience in a client-facing consulting role, with excellent communication, stakeholder management, and presentation skills. Deep understanding of integration design patterns, Event-Driven Architecture (EDA), and microservices; Expert knowledge of REST, SOAP, GraphQL, JSON, XML, EDI, and SQL. Strong grasp of modern authentication and security protocols (OAuth 2.0, OIDC, JWT, SAML). Extensive hands-on experience with leading enterprise integration platforms (e.g., MuleSoft, Boomi, Informatica, SnapLogic, Workato, or similar iPaaS/ESB solutions). Strong working knowledge of major cloud platforms (AWS, Azure, or GCP) and related cloud-native integration services (e.g., AWS SQS/SNS, Azure Service Bus, Pub/Sub); Experience with CI/CD pipelines and DevOps practices in an integration context. Ability to travel as needed Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
We are The Lighthouse within KPMGs Consulting practice. We tap into the power of emerging technologies and scientific breakthroughs to create solutions and products that address the largest and most complex issues faced by global companies. By blending technology with our industry expertise, we are able to harness the potential of Cloud, AI, ML, IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of business problems. Work with confidence knowing your ideas are heard and backed by one of the world's top professional services firms. Spark your curiosity and ignite your career at The Lighthouse. KPMG is currently seeking a Manager, Boomi Architect in for our Consulting practice. Responsibilities: Client Advisory & Integration Architecture: Lead discovery sessions to understand business needs and translating them into comprehensive integration architecture. Solution Design & Pattern Application: Architect end-to-end integration solutions by applying industry-standard integration design patterns (e.g., Publish/Subscribe, Message Routing, API-led connectivity, Batch/Real-time processing). API Management & Microservices: Design and govern enterprise API strategies, ensuring secure, scalable, and reusable API lifecycles using modern API management gateways. Mentorship: Mentor junior developers and engineering teams, conduct architecture reviews, and foster a culture of technical excellence. Technology Evaluation: Assess client landscapes and recommend appropriate integration tools (iPaaS, ESB, ETL, API Gateways) based on specific use cases and scalability requirements. Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: Minimum of five years of experience in enterprise software engineering, with at least 3+ years in a senior integration developer role. Bachelor's degree from an accredited college or university is required; Certifications in major integration platforms (e.g., MuleSoft Certified Integration Architect, Boomi Enterprise Architect) is preferred. Experience in a client-facing consulting role, with excellent communication, stakeholder management, and presentation skills. Deep understanding of integration design patterns, Event-Driven Architecture (EDA), and microservices; Expert knowledge of REST, SOAP, GraphQL, JSON, XML, EDI, and SQL. Strong grasp of modern authentication and security protocols (OAuth 2.0, OIDC, JWT, SAML). Extensive hands-on experience with leading enterprise integration platforms (e.g., MuleSoft, Boomi, Informatica, SnapLogic, Workato, or similar iPaaS/ESB solutions). Strong working knowledge of major cloud platforms (AWS, Azure, or GCP) and related cloud-native integration services (e.g., AWS SQS/SNS, Azure Service Bus, Pub/Sub); Experience with CI/CD pipelines and DevOps practices in an integration context. Ability to travel as needed Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
08/07/2026
Full time
We are The Lighthouse within KPMGs Consulting practice. We tap into the power of emerging technologies and scientific breakthroughs to create solutions and products that address the largest and most complex issues faced by global companies. By blending technology with our industry expertise, we are able to harness the potential of Cloud, AI, ML, IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of business problems. Work with confidence knowing your ideas are heard and backed by one of the world's top professional services firms. Spark your curiosity and ignite your career at The Lighthouse. KPMG is currently seeking a Manager, Boomi Architect in for our Consulting practice. Responsibilities: Client Advisory & Integration Architecture: Lead discovery sessions to understand business needs and translating them into comprehensive integration architecture. Solution Design & Pattern Application: Architect end-to-end integration solutions by applying industry-standard integration design patterns (e.g., Publish/Subscribe, Message Routing, API-led connectivity, Batch/Real-time processing). API Management & Microservices: Design and govern enterprise API strategies, ensuring secure, scalable, and reusable API lifecycles using modern API management gateways. Mentorship: Mentor junior developers and engineering teams, conduct architecture reviews, and foster a culture of technical excellence. Technology Evaluation: Assess client landscapes and recommend appropriate integration tools (iPaaS, ESB, ETL, API Gateways) based on specific use cases and scalability requirements. Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: Minimum of five years of experience in enterprise software engineering, with at least 3+ years in a senior integration developer role. Bachelor's degree from an accredited college or university is required; Certifications in major integration platforms (e.g., MuleSoft Certified Integration Architect, Boomi Enterprise Architect) is preferred. Experience in a client-facing consulting role, with excellent communication, stakeholder management, and presentation skills. Deep understanding of integration design patterns, Event-Driven Architecture (EDA), and microservices; Expert knowledge of REST, SOAP, GraphQL, JSON, XML, EDI, and SQL. Strong grasp of modern authentication and security protocols (OAuth 2.0, OIDC, JWT, SAML). Extensive hands-on experience with leading enterprise integration platforms (e.g., MuleSoft, Boomi, Informatica, SnapLogic, Workato, or similar iPaaS/ESB solutions). Strong working knowledge of major cloud platforms (AWS, Azure, or GCP) and related cloud-native integration services (e.g., AWS SQS/SNS, Azure Service Bus, Pub/Sub); Experience with CI/CD pipelines and DevOps practices in an integration context. Ability to travel as needed Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Title: Full Stack Developer Experience Range: 3 - 5 Years Compensation: 90000 - 120000 USD / Per Year Employment Type: Permanent Work Locations: New York, NY, USA Remote Allowed: Yes Notice Period: 4 Weeks Minimum Education: Bachelors Domain Experience: Software Development Roles and Responsibilities: - Design, develop, and maintain web applications and APIs using modern frameworks and technologies. - Collaborate with product managers, designers, and other developers to implement user-centric solutions. - Write clean, maintainable, and well-documented code following industry best practices. - Optimize applications for maximum performance and scalability. - Participate in code reviews, providing constructive feedback to peers. - Implement automated testing, CI/CD pipelines, and monitoring solutions. - Stay updated with emerging technologies and frameworks, ensuring we are using the best tools for the job. Must-Have Skills: React, Angular, Vue.js, Node.js, Django, Ruby on Rails, .NET Other Skills: React, Angular, Vue.js, Node.js, Django, Ruby on Rails, .NET, HTML, CSS, JavaScript, SQL, NoSQL, RESTful APIs, GraphQL, WebSockets, Git, AWS, Azure, Google Cloud, Docker, Kubernetes, Jenkins, GitHub Actions, CircleCI, OAuth, JWT
08/07/2026
Title: Full Stack Developer Experience Range: 3 - 5 Years Compensation: 90000 - 120000 USD / Per Year Employment Type: Permanent Work Locations: New York, NY, USA Remote Allowed: Yes Notice Period: 4 Weeks Minimum Education: Bachelors Domain Experience: Software Development Roles and Responsibilities: - Design, develop, and maintain web applications and APIs using modern frameworks and technologies. - Collaborate with product managers, designers, and other developers to implement user-centric solutions. - Write clean, maintainable, and well-documented code following industry best practices. - Optimize applications for maximum performance and scalability. - Participate in code reviews, providing constructive feedback to peers. - Implement automated testing, CI/CD pipelines, and monitoring solutions. - Stay updated with emerging technologies and frameworks, ensuring we are using the best tools for the job. Must-Have Skills: React, Angular, Vue.js, Node.js, Django, Ruby on Rails, .NET Other Skills: React, Angular, Vue.js, Node.js, Django, Ruby on Rails, .NET, HTML, CSS, JavaScript, SQL, NoSQL, RESTful APIs, GraphQL, WebSockets, Git, AWS, Azure, Google Cloud, Docker, Kubernetes, Jenkins, GitHub Actions, CircleCI, OAuth, JWT
Security Clearance Required: Active TS/SCI with Full Scope Polygraph (FSP) Develop powerful APIs, optimize backend SQL databases, and integrate modern AWS technologies while building mission-critical software solutions. In this role, you'll work across the full software development lifecycle (SDLC), using modern web development technologies and programming languages to build robust client-side and server-side applications. You'll design seamless integrations, develop intuitive user experiences, and transform complex technical requirements into scalable, high-impact solutions. Required Skills Core Programming: Strong software development experience using Java and JavaScript. Operating Environment: Proven experience developing and working in Linux environments. Full-Stack Development: Experience with the Software Development Lifecycle (SDLC), including front-end, back-end, client-side, and server-side development. Development Tools: Experience using Git for version control and SQL for database development and querying. Integration & Architecture: Experience with API development, system integrations, and UI/UX principles. Modern JavaScript Frameworks: Experience with or exposure to Angular, React.js, or Vue.js. Cloud Technologies: Familiarity with AWS services, Python, and Microsoft C# to support diverse application architectures. Experience Requirements Mid-Level 7+ years of experience with a technical degree, or 11+ years of experience without a technical degree. Senior Level 14+ years of experience with a technical degree, or 18+ years of experience without a technical degree. Principal Level 20+ years of experience with a technical degree, or 24+ years of experience without a technical degree. Preferred Skills Experience with MongoDB, Spring, and OSGi. Familiarity with Perl, Lua, and configuring or managing NGINX. Experience with automation or workflow acceleration frameworks such as Empower. Position Details Active TS/SCI with Full Scope Polygraph (FSP) is required. Positions are 100% onsite (link removed)> Most opportunities are located in the Maryland area, including Columbia, Annapolis, Annapolis Junction, and Fort Meade (link removed)> Due to security requirements, all work must be performed at the designated worksite. Remote work is not available. About the Opportunity This position supports advanced software engineering, artificial intelligence, and data-driven initiatives for U.S. Government programs. You'll join a highly technical environment focused on delivering innovative, mission-critical solutions while working alongside experienced engineers on complex and impactful projects.
08/07/2026
Security Clearance Required: Active TS/SCI with Full Scope Polygraph (FSP) Develop powerful APIs, optimize backend SQL databases, and integrate modern AWS technologies while building mission-critical software solutions. In this role, you'll work across the full software development lifecycle (SDLC), using modern web development technologies and programming languages to build robust client-side and server-side applications. You'll design seamless integrations, develop intuitive user experiences, and transform complex technical requirements into scalable, high-impact solutions. Required Skills Core Programming: Strong software development experience using Java and JavaScript. Operating Environment: Proven experience developing and working in Linux environments. Full-Stack Development: Experience with the Software Development Lifecycle (SDLC), including front-end, back-end, client-side, and server-side development. Development Tools: Experience using Git for version control and SQL for database development and querying. Integration & Architecture: Experience with API development, system integrations, and UI/UX principles. Modern JavaScript Frameworks: Experience with or exposure to Angular, React.js, or Vue.js. Cloud Technologies: Familiarity with AWS services, Python, and Microsoft C# to support diverse application architectures. Experience Requirements Mid-Level 7+ years of experience with a technical degree, or 11+ years of experience without a technical degree. Senior Level 14+ years of experience with a technical degree, or 18+ years of experience without a technical degree. Principal Level 20+ years of experience with a technical degree, or 24+ years of experience without a technical degree. Preferred Skills Experience with MongoDB, Spring, and OSGi. Familiarity with Perl, Lua, and configuring or managing NGINX. Experience with automation or workflow acceleration frameworks such as Empower. Position Details Active TS/SCI with Full Scope Polygraph (FSP) is required. Positions are 100% onsite (link removed)> Most opportunities are located in the Maryland area, including Columbia, Annapolis, Annapolis Junction, and Fort Meade (link removed)> Due to security requirements, all work must be performed at the designated worksite. Remote work is not available. About the Opportunity This position supports advanced software engineering, artificial intelligence, and data-driven initiatives for U.S. Government programs. You'll join a highly technical environment focused on delivering innovative, mission-critical solutions while working alongside experienced engineers on complex and impactful projects.
E-Commerce Back-End Developer E-Commerce Back-End Developer Magento 2/Adobe Commerce PHP MySQL APIs Integrations Full-Time Easton, PA On-Site Hybrid May Be Considered for a Highly Qualified Candidate About Famous Cigars Famous Cigars has roots as Famous Smoke Shop-PA, Inc. and has been part of the premium cigar industry since 1939. What began as a small family business has grown into a respected name across retail, catalog, e-commerce, and hospitality. Based in Easton, PA, we are known for our product knowledge, customer service, and the experience we create for our customers. The Opportunity Famous Cigars is seeking a hands-on E-Commerce Back-End Developer to help own and improve the technology behind our online commerce platform. This role is centered on PHP and Magento 2/Adobe Commerce back-end development, including custom modules, APIs, integrations, MySQL, performance, deployments, and production support. This is a strong fit for a developer who enjoys solving practical business problems across commerce, data, ERP integrations, order flow, and customer experience. It is not primarily a front-end role, although working JavaScript knowledge is required for troubleshooting and cross-functional development work. What You Will Do Build, maintain, and enhance Magento 2/Adobe Commerce back-end functionality using PHP. Develop custom modules, services, cron jobs, integrations, API endpoints, and automated business processes. Work with SQL/MySQL to troubleshoot data, improve queries, support reporting, and maintain data integrity. Use XML, dependency injection, events/observers, plugins, and established Magento development patterns. Develop and support GraphQL and REST APIs connecting Magento with NetSuite, Celigo or similar middleware, payment, loyalty, CMS, marketing, and operational systems. Manage PHP dependencies with Composer and development environments with Docker. Use Git, pull requests, code review, testing, and deployment workflows to deliver reliable changes. Troubleshoot production issues across application, database, API, and integration layers and complete root-cause analysis. Improve caching, indexing, query efficiency, API performance, platform reliability, and overall e-commerce performance. Use working JavaScript knowledge to troubleshoot storefront behavior and collaborate with front-end developers. Partner with IT and business teams to turn operational needs into practical, maintainable technical solutions. Required Experience and Skills 3-6+ years of professional back-end web development experience; production e-commerce experience strongly preferred. Strong PHP development experience. Hands-on Magento 2/Adobe Commerce back-end development experience. Strong SQL/MySQL skills, including joins, query analysis, troubleshooting, and performance optimization. Experience with XML configuration, GraphQL APIs, and REST APIs. Experience with Composer, Docker, and Git. Working JavaScript knowledge. Strong production troubleshooting, debugging, root-cause analysis, and communication skills. Helpful Experience NetSuite, Celigo or similar middleware, ERP, payment, loyalty, CMS, or marketing-system integrations. Adobe Commerce Cloud, CI/CD, Linux, AWS, GCP, Redis, Varnish, OpenSearch/Elasticsearch, message queues, or Magento indexing and caching. Large product catalogs, inventory, pricing, promotions, checkout, orders, fulfillment, and reporting workflows. React, Next.js, headless commerce, GraphCommerce, PWA Studio, Hyva, or similar front-end frameworks. E-commerce security, privacy, PCI, and secure coding practices. Location and Schedule On-site Monday through Friday at our Easton, PA headquarters. Core business hours are 8:00 a.m. to 5:00 p.m. Occasional flexibility may be needed for deployments, critical deadlines, or urgent production issues. On-call coverage may occasionally include evenings, weekends, or holidays. A hybrid schedule may be considered for the right highly qualified candidate after discussion; this role is not fully remote. Why Join Famous Cigars Competitive compensation and benefits. Meaningful ownership of Magento, PHP, database, integration, and production-support work. Direct impact on customer experience, site reliability, checkout, and internal operations. Cross-functional exposure and long-term platform growth opportunities. How to Apply Submit your resume highlighting your Magento 2/Adobe Commerce, PHP, MySQL, API, integration, Composer, Docker, Git, and production-support experience. Equal Employment Opportunity Famous Cigars is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace. We do not discriminate based on any protected status under applicable law and comply with all applicable federal, state, and loc Compensation details: 00 Yearly Salary PI73cc0c64756f-9626
08/07/2026
Full time
E-Commerce Back-End Developer E-Commerce Back-End Developer Magento 2/Adobe Commerce PHP MySQL APIs Integrations Full-Time Easton, PA On-Site Hybrid May Be Considered for a Highly Qualified Candidate About Famous Cigars Famous Cigars has roots as Famous Smoke Shop-PA, Inc. and has been part of the premium cigar industry since 1939. What began as a small family business has grown into a respected name across retail, catalog, e-commerce, and hospitality. Based in Easton, PA, we are known for our product knowledge, customer service, and the experience we create for our customers. The Opportunity Famous Cigars is seeking a hands-on E-Commerce Back-End Developer to help own and improve the technology behind our online commerce platform. This role is centered on PHP and Magento 2/Adobe Commerce back-end development, including custom modules, APIs, integrations, MySQL, performance, deployments, and production support. This is a strong fit for a developer who enjoys solving practical business problems across commerce, data, ERP integrations, order flow, and customer experience. It is not primarily a front-end role, although working JavaScript knowledge is required for troubleshooting and cross-functional development work. What You Will Do Build, maintain, and enhance Magento 2/Adobe Commerce back-end functionality using PHP. Develop custom modules, services, cron jobs, integrations, API endpoints, and automated business processes. Work with SQL/MySQL to troubleshoot data, improve queries, support reporting, and maintain data integrity. Use XML, dependency injection, events/observers, plugins, and established Magento development patterns. Develop and support GraphQL and REST APIs connecting Magento with NetSuite, Celigo or similar middleware, payment, loyalty, CMS, marketing, and operational systems. Manage PHP dependencies with Composer and development environments with Docker. Use Git, pull requests, code review, testing, and deployment workflows to deliver reliable changes. Troubleshoot production issues across application, database, API, and integration layers and complete root-cause analysis. Improve caching, indexing, query efficiency, API performance, platform reliability, and overall e-commerce performance. Use working JavaScript knowledge to troubleshoot storefront behavior and collaborate with front-end developers. Partner with IT and business teams to turn operational needs into practical, maintainable technical solutions. Required Experience and Skills 3-6+ years of professional back-end web development experience; production e-commerce experience strongly preferred. Strong PHP development experience. Hands-on Magento 2/Adobe Commerce back-end development experience. Strong SQL/MySQL skills, including joins, query analysis, troubleshooting, and performance optimization. Experience with XML configuration, GraphQL APIs, and REST APIs. Experience with Composer, Docker, and Git. Working JavaScript knowledge. Strong production troubleshooting, debugging, root-cause analysis, and communication skills. Helpful Experience NetSuite, Celigo or similar middleware, ERP, payment, loyalty, CMS, or marketing-system integrations. Adobe Commerce Cloud, CI/CD, Linux, AWS, GCP, Redis, Varnish, OpenSearch/Elasticsearch, message queues, or Magento indexing and caching. Large product catalogs, inventory, pricing, promotions, checkout, orders, fulfillment, and reporting workflows. React, Next.js, headless commerce, GraphCommerce, PWA Studio, Hyva, or similar front-end frameworks. E-commerce security, privacy, PCI, and secure coding practices. Location and Schedule On-site Monday through Friday at our Easton, PA headquarters. Core business hours are 8:00 a.m. to 5:00 p.m. Occasional flexibility may be needed for deployments, critical deadlines, or urgent production issues. On-call coverage may occasionally include evenings, weekends, or holidays. A hybrid schedule may be considered for the right highly qualified candidate after discussion; this role is not fully remote. Why Join Famous Cigars Competitive compensation and benefits. Meaningful ownership of Magento, PHP, database, integration, and production-support work. Direct impact on customer experience, site reliability, checkout, and internal operations. Cross-functional exposure and long-term platform growth opportunities. How to Apply Submit your resume highlighting your Magento 2/Adobe Commerce, PHP, MySQL, API, integration, Composer, Docker, Git, and production-support experience. Equal Employment Opportunity Famous Cigars is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace. We do not discriminate based on any protected status under applicable law and comply with all applicable federal, state, and loc Compensation details: 00 Yearly Salary PI73cc0c64756f-9626
Summary Statement: You will manage a team of developers to help us create the next generation of innovative solutions while also enhancing and optimizing our existing systems and applications. Providing day-to-day management and development for your team, you will manage projects to ensure seamless delivery, implementation, support, and issue resolution. Using your knowledge and experience with technology, you will help guide our organization to implement solutions that will move us forward and keep us ahead of the competition. What You Will Be Doing: As a Penske Manager of Asset Management Systems, you will be leading a team focused on key software development, enhancements, and maintenance. Working with your teams, stakeholders, and development partners/vendors to ensure implementation and help define architecture to create robust solutions. Conducting performance reviews for your team and engineering process for quality assurance to ensure that deliverables are effective and meet the needs of the end-user. Guiding teams and removing roadblocks to ensure timely solutions, as well as growing your team of developers to advance in their careers are key tasks that help make sure, we can keep our organization moving forward. Fostering a partnership with business owners and key stakeholders to get the job done. Penske Responsibilities: Provide direction and day-to-day management of development staff to ensure that any roadblocks are removed, and developers/teams are successfully moving forward Make sure that development projects are prioritized, scheduled, and completed according to business need Foster collaboration by leading regular meetings and communicating with process owners, product managers, agile teams, IT groups, and other stakeholders to negotiate priority and timelines while managing resources required to get the job done Hire new associates, conduct performance reviews, guide, and mentor their career development Ensure on time and defect-free delivery of applications in accordance with Penske standards Responsibilities for multiple systems, agile teams, and cross-functional projects Other projects, teams, and responsibilities as assigned by the manager Follow IT practices in security, licensing, source code management, incident management, and following architectural standards Coach and mentor associates. Develop team members to increase value to the organization Reduce complexity in the environment Identify future opportunities for system enhancement and value generation Penske Qualifications: Bachelor's degree in computer science, Math or Information Systems or equivalent development experience. Green belt, Black belt, Lean or PMP certification preferred. 12+ years of software development experience 5+ years leading/supervising multiple IT projects through the full SDLC (Software Development Life Cycle) including prior work defining complex application architecture and integration with multi-tiered systems Proven experience in leading and managing small to mid-size teams Proven experience in team development and performance management Experience in migrating legacy applications to cloud platforms such as AWS Experience in implementing large scale applications with Event Driven and Domain Driven Architecture patterns Significant functional experience (8+ years) with core Technologies and Architectures - Java Enterprise Technologies, Spring Boot, Spring Frameworks, Restful Web services, SOA, Angular, HTML/CSS, SQL, DB2/Oracle, Kafka, Cloud Technologies Experience in leading teams in custom development, evaluating, selecting, integrating, and implementing application software (package) solutions when appropriate Strong interpersonal and decision-making skills Experience in building and managing relationships with various business and IT Stakeholders Able to communicate highly technical concepts in a clear/concise manner to non-technical individuals Experience in prioritizing technological needs within set budget requirements Knowledge of project management methods and tools Strong experience with Agile (SAFE) / DevOps approaches or methodologies Strong knowledge of Integration technologies like Spring Integration Framework, API Management, Micro-services Expertise in leading the architecture, design & implementation of highly complex data integrations and data services by utilizing technologies such as Spring Boot, Angular, DB2/Oracle Advanced experience in working with the various IT teams to build and implement scalable architecture for relevant software solutions Full fluency and expert-level knowledge in systems/languages applicable to the role Physical Requirements: The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The associate must regularly lift and /or move up to 25lbs/12kg. Specific vision abilities required by this job include Close vision, Distance vision, Peripheral vision, Depth perception and Ability to adjust focus. While performing the duties of this Job, the associate is regularly required to stand; walk; sit and talk or hear. The associate is frequently required to use hands to finger, handle, or feel and reach with hands and arms. Penske is an Equal Opportunity Employer. About Penske Truck Leasing Penske Truck Leasing Co., L.P., headquartered in Reading, Pennsylvania, is a partnership of Penske Corporation, Penske Automotive Group and Mitsui & Co., Ltd. A leading global transportation services provider, Penske operates a premier fleet of vehicles and serves its customers from locations in North America, South America, Europe, Australia, and Asia. Penske's product lines include full-service truck leasing, contract maintenance, commercial and consumer truck rentals, used truck sales, transportation and warehousing management and supply chain management solutions. Visit to learn more. Job Category: Information Technology Job Family: Information Technology Address: 5401 W Kennedy Blvd Ste 650 Primary Location: US-FL-Tampa Employer: Penske Truck Leasing Co., L.P. Req ID:
08/07/2026
Summary Statement: You will manage a team of developers to help us create the next generation of innovative solutions while also enhancing and optimizing our existing systems and applications. Providing day-to-day management and development for your team, you will manage projects to ensure seamless delivery, implementation, support, and issue resolution. Using your knowledge and experience with technology, you will help guide our organization to implement solutions that will move us forward and keep us ahead of the competition. What You Will Be Doing: As a Penske Manager of Asset Management Systems, you will be leading a team focused on key software development, enhancements, and maintenance. Working with your teams, stakeholders, and development partners/vendors to ensure implementation and help define architecture to create robust solutions. Conducting performance reviews for your team and engineering process for quality assurance to ensure that deliverables are effective and meet the needs of the end-user. Guiding teams and removing roadblocks to ensure timely solutions, as well as growing your team of developers to advance in their careers are key tasks that help make sure, we can keep our organization moving forward. Fostering a partnership with business owners and key stakeholders to get the job done. Penske Responsibilities: Provide direction and day-to-day management of development staff to ensure that any roadblocks are removed, and developers/teams are successfully moving forward Make sure that development projects are prioritized, scheduled, and completed according to business need Foster collaboration by leading regular meetings and communicating with process owners, product managers, agile teams, IT groups, and other stakeholders to negotiate priority and timelines while managing resources required to get the job done Hire new associates, conduct performance reviews, guide, and mentor their career development Ensure on time and defect-free delivery of applications in accordance with Penske standards Responsibilities for multiple systems, agile teams, and cross-functional projects Other projects, teams, and responsibilities as assigned by the manager Follow IT practices in security, licensing, source code management, incident management, and following architectural standards Coach and mentor associates. Develop team members to increase value to the organization Reduce complexity in the environment Identify future opportunities for system enhancement and value generation Penske Qualifications: Bachelor's degree in computer science, Math or Information Systems or equivalent development experience. Green belt, Black belt, Lean or PMP certification preferred. 12+ years of software development experience 5+ years leading/supervising multiple IT projects through the full SDLC (Software Development Life Cycle) including prior work defining complex application architecture and integration with multi-tiered systems Proven experience in leading and managing small to mid-size teams Proven experience in team development and performance management Experience in migrating legacy applications to cloud platforms such as AWS Experience in implementing large scale applications with Event Driven and Domain Driven Architecture patterns Significant functional experience (8+ years) with core Technologies and Architectures - Java Enterprise Technologies, Spring Boot, Spring Frameworks, Restful Web services, SOA, Angular, HTML/CSS, SQL, DB2/Oracle, Kafka, Cloud Technologies Experience in leading teams in custom development, evaluating, selecting, integrating, and implementing application software (package) solutions when appropriate Strong interpersonal and decision-making skills Experience in building and managing relationships with various business and IT Stakeholders Able to communicate highly technical concepts in a clear/concise manner to non-technical individuals Experience in prioritizing technological needs within set budget requirements Knowledge of project management methods and tools Strong experience with Agile (SAFE) / DevOps approaches or methodologies Strong knowledge of Integration technologies like Spring Integration Framework, API Management, Micro-services Expertise in leading the architecture, design & implementation of highly complex data integrations and data services by utilizing technologies such as Spring Boot, Angular, DB2/Oracle Advanced experience in working with the various IT teams to build and implement scalable architecture for relevant software solutions Full fluency and expert-level knowledge in systems/languages applicable to the role Physical Requirements: The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The associate must regularly lift and /or move up to 25lbs/12kg. Specific vision abilities required by this job include Close vision, Distance vision, Peripheral vision, Depth perception and Ability to adjust focus. While performing the duties of this Job, the associate is regularly required to stand; walk; sit and talk or hear. The associate is frequently required to use hands to finger, handle, or feel and reach with hands and arms. Penske is an Equal Opportunity Employer. About Penske Truck Leasing Penske Truck Leasing Co., L.P., headquartered in Reading, Pennsylvania, is a partnership of Penske Corporation, Penske Automotive Group and Mitsui & Co., Ltd. A leading global transportation services provider, Penske operates a premier fleet of vehicles and serves its customers from locations in North America, South America, Europe, Australia, and Asia. Penske's product lines include full-service truck leasing, contract maintenance, commercial and consumer truck rentals, used truck sales, transportation and warehousing management and supply chain management solutions. Visit to learn more. Job Category: Information Technology Job Family: Information Technology Address: 5401 W Kennedy Blvd Ste 650 Primary Location: US-FL-Tampa Employer: Penske Truck Leasing Co., L.P. Req ID:
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.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Candidate must be authorized to work in the U.S, now or in the future, without assistance or support from McKesson. McKesson is in the business of better health and we touch the lives of patients in virtually every aspect of healthcare. At Macro Helix, we are a leader in providing 340B software focused on helping customers improve financial performance, increase operating efficiencies, and maintain regulatory compliance. Every single McKesson employee contributes to our mission-by joining McKesson you act as a catalyst in a chain of events that helps millions of people all over the globe. We understand the importance of a system that works together. You'll collaborate on the products and solutions that help us carry out our mission to improve lives and advance healthcare. Your expertise, drive and passion can help us improve everything we touch, from providers to payors to pharmacies. Working here is your opportunity to shape an industry that's vital to us all. Join our team of leaders to begin a rewarding career. Key Responsibilities Analyze existing software and develop solution for cloud platform using .NET Core/C#/Azure/Web API Lead and participate in technical design discussions that produce high-performance, highly scalable, and resilient software components. Collaborate with other engineers and product owners and QA members to identify best in class software solutions to complex problems in the health care industry. Maintain existing legacy applications written in ASP.Net/c#.Net through defect correction and refactoring. Take a quality-first approach to software development by producing unit tests and automate functional testing as much as possible. Conduct code reviews with other developers, including security checks. Actively participate in Agile Daily Standups/ Sprint Planning/ Refinements / Retrospectives and Sprint demos. Promote SOLID design principles for software development in a cloud-based environment to implement a code that can easily be modified, tested, extended, and refactored without any problems. Minimum Requirement Degree or equivalent and typically requires 2+ years of relevant experience. Education 4 years degree in computer science or related field or equivalent experience Critical Skills 2+ years of experience developing web-based applications using Microsoft technologies. Proficiency in C#, ASP.NET/.NET Core, JavaScript/TypeScript, Angular, HTML, and CSS. Experience building and supporting cloud-based solutions in Azure (AWS/GCP exposure welcomed). Strong SQL Server experience, including working within high-volume transactional environments. Hands-on experience with Git-based source control, CI/CD pipelines, and modern development practices. Solid foundation in object-oriented programming, software design, testing, debugging, and code quality. Strong analytical, problem-solving, and collaboration skills with keen attention to detail. Additional Knowledge & Skills Experience working with secure web services and API Agile software methodology experience Experience with Data bricks Experience with JIRA and Confluence Health care experience is a plus Agency Statement No agencies please. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $38.94 - $64.90 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
08/06/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Candidate must be authorized to work in the U.S, now or in the future, without assistance or support from McKesson. McKesson is in the business of better health and we touch the lives of patients in virtually every aspect of healthcare. At Macro Helix, we are a leader in providing 340B software focused on helping customers improve financial performance, increase operating efficiencies, and maintain regulatory compliance. Every single McKesson employee contributes to our mission-by joining McKesson you act as a catalyst in a chain of events that helps millions of people all over the globe. We understand the importance of a system that works together. You'll collaborate on the products and solutions that help us carry out our mission to improve lives and advance healthcare. Your expertise, drive and passion can help us improve everything we touch, from providers to payors to pharmacies. Working here is your opportunity to shape an industry that's vital to us all. Join our team of leaders to begin a rewarding career. Key Responsibilities Analyze existing software and develop solution for cloud platform using .NET Core/C#/Azure/Web API Lead and participate in technical design discussions that produce high-performance, highly scalable, and resilient software components. Collaborate with other engineers and product owners and QA members to identify best in class software solutions to complex problems in the health care industry. Maintain existing legacy applications written in ASP.Net/c#.Net through defect correction and refactoring. Take a quality-first approach to software development by producing unit tests and automate functional testing as much as possible. Conduct code reviews with other developers, including security checks. Actively participate in Agile Daily Standups/ Sprint Planning/ Refinements / Retrospectives and Sprint demos. Promote SOLID design principles for software development in a cloud-based environment to implement a code that can easily be modified, tested, extended, and refactored without any problems. Minimum Requirement Degree or equivalent and typically requires 2+ years of relevant experience. Education 4 years degree in computer science or related field or equivalent experience Critical Skills 2+ years of experience developing web-based applications using Microsoft technologies. Proficiency in C#, ASP.NET/.NET Core, JavaScript/TypeScript, Angular, HTML, and CSS. Experience building and supporting cloud-based solutions in Azure (AWS/GCP exposure welcomed). Strong SQL Server experience, including working within high-volume transactional environments. Hands-on experience with Git-based source control, CI/CD pipelines, and modern development practices. Solid foundation in object-oriented programming, software design, testing, debugging, and code quality. Strong analytical, problem-solving, and collaboration skills with keen attention to detail. Additional Knowledge & Skills Experience working with secure web services and API Agile software methodology experience Experience with Data bricks Experience with JIRA and Confluence Health care experience is a plus Agency Statement No agencies please. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $38.94 - $64.90 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Position Summary McKesson Corporation is seeking talented Software Developer to join our Supply Chain Technology team with a strong background in microservices architecture, system integrations, CP4D, Apache Kafka, and Artificial Intelligence (AI) . This role is ideal for someone with 4+ years of hands-on development experience who thrives in a fast-paced, innovation-driven environment. You will be responsible for designing and implementing scalable, intelligent systems that power modern enterprise applications and data-driven decision-making. Key Responsibilities Architect, develop, and maintain microservices-based applications using modern frameworks and cloud-native technologies. Design and implement real-time data streaming solutions using Apache Kafka. Build robust integrations between internal systems and third-party platforms using APIs, messaging queues, and middleware. Collaborate with AI/ML teams to embed intelligent features into applications, including predictive analytics, NLP, and automation. Develop and maintain ETL pipelines using CP4D. Write and optimize SQL and PL/SQL queries, stored procedures, and triggers in Oracle. Ensure high performance, scalability, and reliability of distributed systems. Participate in agile development processes, including sprint planning, code reviews, and CI/CD. Monitor and troubleshoot production systems, ensuring uptime and responsiveness. Minimum Qualifications Typically requires 4+ years of relevant experience. Critical Skills Strong proficiency in programming languages such as Java, JavaScript, Python, or Go. Hands-on experience with microservices architecture and containerization (Docker, Kubernetes). Experience with cloud platforms (GCP, Azure, AWS). Proficient in ETL development, Oracle performance tuning, and complex SQL. Deep understanding of Apache Kafka for event-driven and real-time data processing. Experience implementing AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong problem-solving skills and ability to work independently and in teams Preferred Attributes Experience in healthcare or supply chain domain. Strong analytical and problem-solving skills. Knowledge of API gateways, service mesh, and observability tools. Experience with MLOps and deploying AI models in production environments. Certifications in cloud, Kafka, or AI technologies. Exposure to data engineering and big data tools (e.g., Spark, Flink). Education Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). About McKesson Medical-Surgical McKesson Medical-Surgical (MMS) is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical-surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets - often referred to as Alternate Care or Non-Acute Care - include physician offices, surgery centers, long-term care providers, laboratories, home health and hospice agencies, health systems, government facilities and online marketplaces and retailers. Alternate Care markets are growing rapidly and MMS is proud to be a leader in this space. With a team of approximately 8,000 employees, a network of 15 distribution centers and approximately 900 delivery vehicles, we partner with more than 2,200 leading manufacturers and serve over 200,000 customer accounts across the U.S. Our catalog includes more than 280,000 SKUs of branded and private-label medical-surgical products - from bandages to specialty pharmaceuticals and COVID-19 tests. Looking Ahead: A New Chapter for MMS McKesson has announced its intent to separate MMS into an independent company by taking it public through an initial public offering (IPO). The separation could be completed by the second half of calendar year 2027, pending market factors and regulatory approvals. This is an exciting evolution that builds on MMS's strong foundation and proven leadership in the Alternate Care space. As a standalone company, MMS would be positioned to unlock new opportunities to innovate, grow and lead with even greater agility and focus. We will also continue to be one of the largest medical-surgical distributors in the U.S., with over $11B in annual sales. This separation would accelerate our mission and empower us to shape a future defined by customer-centricity, bold thinking and operational excellence. For job seekers, it's a unique moment to join a team that's already making a meaningful impact and leading the way in shaping the future of healthcare delivery in Alternate Care settings - with even greater opportunity ahead as we prepare to become an independent company. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $103,500 - $172,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
08/05/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Position Summary McKesson Corporation is seeking talented Software Developer to join our Supply Chain Technology team with a strong background in microservices architecture, system integrations, CP4D, Apache Kafka, and Artificial Intelligence (AI) . This role is ideal for someone with 4+ years of hands-on development experience who thrives in a fast-paced, innovation-driven environment. You will be responsible for designing and implementing scalable, intelligent systems that power modern enterprise applications and data-driven decision-making. Key Responsibilities Architect, develop, and maintain microservices-based applications using modern frameworks and cloud-native technologies. Design and implement real-time data streaming solutions using Apache Kafka. Build robust integrations between internal systems and third-party platforms using APIs, messaging queues, and middleware. Collaborate with AI/ML teams to embed intelligent features into applications, including predictive analytics, NLP, and automation. Develop and maintain ETL pipelines using CP4D. Write and optimize SQL and PL/SQL queries, stored procedures, and triggers in Oracle. Ensure high performance, scalability, and reliability of distributed systems. Participate in agile development processes, including sprint planning, code reviews, and CI/CD. Monitor and troubleshoot production systems, ensuring uptime and responsiveness. Minimum Qualifications Typically requires 4+ years of relevant experience. Critical Skills Strong proficiency in programming languages such as Java, JavaScript, Python, or Go. Hands-on experience with microservices architecture and containerization (Docker, Kubernetes). Experience with cloud platforms (GCP, Azure, AWS). Proficient in ETL development, Oracle performance tuning, and complex SQL. Deep understanding of Apache Kafka for event-driven and real-time data processing. Experience implementing AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong problem-solving skills and ability to work independently and in teams Preferred Attributes Experience in healthcare or supply chain domain. Strong analytical and problem-solving skills. Knowledge of API gateways, service mesh, and observability tools. Experience with MLOps and deploying AI models in production environments. Certifications in cloud, Kafka, or AI technologies. Exposure to data engineering and big data tools (e.g., Spark, Flink). Education Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). About McKesson Medical-Surgical McKesson Medical-Surgical (MMS) is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical-surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets - often referred to as Alternate Care or Non-Acute Care - include physician offices, surgery centers, long-term care providers, laboratories, home health and hospice agencies, health systems, government facilities and online marketplaces and retailers. Alternate Care markets are growing rapidly and MMS is proud to be a leader in this space. With a team of approximately 8,000 employees, a network of 15 distribution centers and approximately 900 delivery vehicles, we partner with more than 2,200 leading manufacturers and serve over 200,000 customer accounts across the U.S. Our catalog includes more than 280,000 SKUs of branded and private-label medical-surgical products - from bandages to specialty pharmaceuticals and COVID-19 tests. Looking Ahead: A New Chapter for MMS McKesson has announced its intent to separate MMS into an independent company by taking it public through an initial public offering (IPO). The separation could be completed by the second half of calendar year 2027, pending market factors and regulatory approvals. This is an exciting evolution that builds on MMS's strong foundation and proven leadership in the Alternate Care space. As a standalone company, MMS would be positioned to unlock new opportunities to innovate, grow and lead with even greater agility and focus. We will also continue to be one of the largest medical-surgical distributors in the U.S., with over $11B in annual sales. This separation would accelerate our mission and empower us to shape a future defined by customer-centricity, bold thinking and operational excellence. For job seekers, it's a unique moment to join a team that's already making a meaningful impact and leading the way in shaping the future of healthcare delivery in Alternate Care settings - with even greater opportunity ahead as we prepare to become an independent company. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $103,500 - $172,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Position Summary McKesson Corporation is seeking talented Software Developer to join our Supply Chain Technology team with a strong background in microservices architecture, system integrations, CP4D, Apache Kafka, and Artificial Intelligence (AI) . This role is ideal for someone with 4+ years of hands-on development experience who thrives in a fast-paced, innovation-driven environment. You will be responsible for designing and implementing scalable, intelligent systems that power modern enterprise applications and data-driven decision-making. Key Responsibilities Architect, develop, and maintain microservices-based applications using modern frameworks and cloud-native technologies. Design and implement real-time data streaming solutions using Apache Kafka. Build robust integrations between internal systems and third-party platforms using APIs, messaging queues, and middleware. Collaborate with AI/ML teams to embed intelligent features into applications, including predictive analytics, NLP, and automation. Develop and maintain ETL pipelines using CP4D. Write and optimize SQL and PL/SQL queries, stored procedures, and triggers in Oracle. Ensure high performance, scalability, and reliability of distributed systems. Participate in agile development processes, including sprint planning, code reviews, and CI/CD. Monitor and troubleshoot production systems, ensuring uptime and responsiveness. Minimum Qualifications Typically requires 4+ years of relevant experience. Critical Skills Strong proficiency in programming languages such as Java, JavaScript, Python, or Go. Hands-on experience with microservices architecture and containerization (Docker, Kubernetes). Experience with cloud platforms (GCP, Azure, AWS). Proficient in ETL development, Oracle performance tuning, and complex SQL. Deep understanding of Apache Kafka for event-driven and real-time data processing. Experience implementing AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong problem-solving skills and ability to work independently and in teams Preferred Attributes Experience in healthcare or supply chain domain. Strong analytical and problem-solving skills. Knowledge of API gateways, service mesh, and observability tools. Experience with MLOps and deploying AI models in production environments. Certifications in cloud, Kafka, or AI technologies. Exposure to data engineering and big data tools (e.g., Spark, Flink). Education Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). About McKesson Medical-Surgical McKesson Medical-Surgical (MMS) is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical-surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets - often referred to as Alternate Care or Non-Acute Care - include physician offices, surgery centers, long-term care providers, laboratories, home health and hospice agencies, health systems, government facilities and online marketplaces and retailers. Alternate Care markets are growing rapidly and MMS is proud to be a leader in this space. With a team of approximately 8,000 employees, a network of 15 distribution centers and approximately 900 delivery vehicles, we partner with more than 2,200 leading manufacturers and serve over 200,000 customer accounts across the U.S. Our catalog includes more than 280,000 SKUs of branded and private-label medical-surgical products - from bandages to specialty pharmaceuticals and COVID-19 tests. Looking Ahead: A New Chapter for MMS McKesson has announced its intent to separate MMS into an independent company by taking it public through an initial public offering (IPO). The separation could be completed by the second half of calendar year 2027, pending market factors and regulatory approvals. This is an exciting evolution that builds on MMS's strong foundation and proven leadership in the Alternate Care space. As a standalone company, MMS would be positioned to unlock new opportunities to innovate, grow and lead with even greater agility and focus. We will also continue to be one of the largest medical-surgical distributors in the U.S., with over $11B in annual sales. This separation would accelerate our mission and empower us to shape a future defined by customer-centricity, bold thinking and operational excellence. For job seekers, it's a unique moment to join a team that's already making a meaningful impact and leading the way in shaping the future of healthcare delivery in Alternate Care settings - with even greater opportunity ahead as we prepare to become an independent company. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $103,500 - $172,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
08/05/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Position Summary McKesson Corporation is seeking talented Software Developer to join our Supply Chain Technology team with a strong background in microservices architecture, system integrations, CP4D, Apache Kafka, and Artificial Intelligence (AI) . This role is ideal for someone with 4+ years of hands-on development experience who thrives in a fast-paced, innovation-driven environment. You will be responsible for designing and implementing scalable, intelligent systems that power modern enterprise applications and data-driven decision-making. Key Responsibilities Architect, develop, and maintain microservices-based applications using modern frameworks and cloud-native technologies. Design and implement real-time data streaming solutions using Apache Kafka. Build robust integrations between internal systems and third-party platforms using APIs, messaging queues, and middleware. Collaborate with AI/ML teams to embed intelligent features into applications, including predictive analytics, NLP, and automation. Develop and maintain ETL pipelines using CP4D. Write and optimize SQL and PL/SQL queries, stored procedures, and triggers in Oracle. Ensure high performance, scalability, and reliability of distributed systems. Participate in agile development processes, including sprint planning, code reviews, and CI/CD. Monitor and troubleshoot production systems, ensuring uptime and responsiveness. Minimum Qualifications Typically requires 4+ years of relevant experience. Critical Skills Strong proficiency in programming languages such as Java, JavaScript, Python, or Go. Hands-on experience with microservices architecture and containerization (Docker, Kubernetes). Experience with cloud platforms (GCP, Azure, AWS). Proficient in ETL development, Oracle performance tuning, and complex SQL. Deep understanding of Apache Kafka for event-driven and real-time data processing. Experience implementing AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong problem-solving skills and ability to work independently and in teams Preferred Attributes Experience in healthcare or supply chain domain. Strong analytical and problem-solving skills. Knowledge of API gateways, service mesh, and observability tools. Experience with MLOps and deploying AI models in production environments. Certifications in cloud, Kafka, or AI technologies. Exposure to data engineering and big data tools (e.g., Spark, Flink). Education Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). About McKesson Medical-Surgical McKesson Medical-Surgical (MMS) is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical-surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets - often referred to as Alternate Care or Non-Acute Care - include physician offices, surgery centers, long-term care providers, laboratories, home health and hospice agencies, health systems, government facilities and online marketplaces and retailers. Alternate Care markets are growing rapidly and MMS is proud to be a leader in this space. With a team of approximately 8,000 employees, a network of 15 distribution centers and approximately 900 delivery vehicles, we partner with more than 2,200 leading manufacturers and serve over 200,000 customer accounts across the U.S. Our catalog includes more than 280,000 SKUs of branded and private-label medical-surgical products - from bandages to specialty pharmaceuticals and COVID-19 tests. Looking Ahead: A New Chapter for MMS McKesson has announced its intent to separate MMS into an independent company by taking it public through an initial public offering (IPO). The separation could be completed by the second half of calendar year 2027, pending market factors and regulatory approvals. This is an exciting evolution that builds on MMS's strong foundation and proven leadership in the Alternate Care space. As a standalone company, MMS would be positioned to unlock new opportunities to innovate, grow and lead with even greater agility and focus. We will also continue to be one of the largest medical-surgical distributors in the U.S., with over $11B in annual sales. This separation would accelerate our mission and empower us to shape a future defined by customer-centricity, bold thinking and operational excellence. For job seekers, it's a unique moment to join a team that's already making a meaningful impact and leading the way in shaping the future of healthcare delivery in Alternate Care settings - with even greater opportunity ahead as we prepare to become an independent company. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $103,500 - $172,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
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.
