Disney Entertainment and ESPN Product & Technology
New York, New York
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Disney, a global leader in entertainment, is seeking a talented and dedicated Senior Software Engineer to join our Payments team. This is a unique opportunity to be part of a team within the Commerce, Growth and Identity organization that manages the payment transactions of millions of customers across our celebrated platforms - Disney+, ESPN+, Hulu. What we're looking for We value engineers who demonstrate a strong sense of ownership, accountability, and initiative. Success in this role requires proactively identifying problems, driving solutions with minimal direction, collaborating effectively across teams, and taking responsibility for the long-term health and reliability of the systems you build and operate . Role Location: This is an on-site role requiring 4 days in-person at designated office locations. Responsibilities: Own the stability, scalability, and reliability of our multi-tenant payment platform supporting Disney+, ESPN+, and Hulu, proactively identifying and resolving issues before they impact customers. Demonstrate strong ownership by driving technical solutions from design through implementation and operation, collaborating across teams to evolve the architecture of Tier 1 payment services. Build deep expertise in Global Payments, taking initiative to understand international payment ecosystems and solve the unique challenges of serving a global streaming audience. Deliver at scale by designing, building, and operating high-throughput systems that process millions of payment transactions while maintaining performance, resilience, and operational excellence. Lead reliability and performance improvements for mission-critical payment services, including integrations with new payment processors and support for SCA and other regional payment requirements. Champion security best practices for payment data storage, tokenization, and PCI compliance, ensuring the platform meets the highest security standards. Maintain a high engineering bar by writing well-tested, maintainable code, actively participating in design discussions and code reviews, and continuously improving system quality. Take initiative to identify opportunities for innovation, operational improvements, automation, and technical debt reduction, helping shape the future of our payment platform. Operate with an ownership mindset, supporting critical production systems through on-call rotations, incident response, root cause analysis, and long-term corrective actions to improve service health. Basic Qualifications: Bachelor's degree in Computer Science , Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Minimum of 5 years of related work experience Proven hands-on experience with Scala, Java, or similar programming languages. Proven hands-on experience with API design, including REST and gRPC . Demonstrated analytical and strong system design skills. Hands-on experience with event-driven systems using technologies such as Kafka, RabbitMQ, or AWS SNS/SQS. Exposure to cloud infrastructure, such as AWS, Spinnaker, and Kubernetes Strong communicator and team player, able to adapt quickly and effectively in dynamic, fast-paced environments. A commitment to continuous learning, mentorship, and striving for excellence. Preferred Qualifications: Experience working in functional programming environments, especially with Scala and the Cats Effect ecosystem Experience managing Tier 1 production services, including participation in on-call rotations and incident response. Experience mentoring interns and junior engineers The hiring range for this position in New York, NY is $148,700 to $199,400 and in Los Angeles, CA is $141,900 to $190,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/07/2026
Full time
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Disney, a global leader in entertainment, is seeking a talented and dedicated Senior Software Engineer to join our Payments team. This is a unique opportunity to be part of a team within the Commerce, Growth and Identity organization that manages the payment transactions of millions of customers across our celebrated platforms - Disney+, ESPN+, Hulu. What we're looking for We value engineers who demonstrate a strong sense of ownership, accountability, and initiative. Success in this role requires proactively identifying problems, driving solutions with minimal direction, collaborating effectively across teams, and taking responsibility for the long-term health and reliability of the systems you build and operate . Role Location: This is an on-site role requiring 4 days in-person at designated office locations. Responsibilities: Own the stability, scalability, and reliability of our multi-tenant payment platform supporting Disney+, ESPN+, and Hulu, proactively identifying and resolving issues before they impact customers. Demonstrate strong ownership by driving technical solutions from design through implementation and operation, collaborating across teams to evolve the architecture of Tier 1 payment services. Build deep expertise in Global Payments, taking initiative to understand international payment ecosystems and solve the unique challenges of serving a global streaming audience. Deliver at scale by designing, building, and operating high-throughput systems that process millions of payment transactions while maintaining performance, resilience, and operational excellence. Lead reliability and performance improvements for mission-critical payment services, including integrations with new payment processors and support for SCA and other regional payment requirements. Champion security best practices for payment data storage, tokenization, and PCI compliance, ensuring the platform meets the highest security standards. Maintain a high engineering bar by writing well-tested, maintainable code, actively participating in design discussions and code reviews, and continuously improving system quality. Take initiative to identify opportunities for innovation, operational improvements, automation, and technical debt reduction, helping shape the future of our payment platform. Operate with an ownership mindset, supporting critical production systems through on-call rotations, incident response, root cause analysis, and long-term corrective actions to improve service health. Basic Qualifications: Bachelor's degree in Computer Science , Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Minimum of 5 years of related work experience Proven hands-on experience with Scala, Java, or similar programming languages. Proven hands-on experience with API design, including REST and gRPC . Demonstrated analytical and strong system design skills. Hands-on experience with event-driven systems using technologies such as Kafka, RabbitMQ, or AWS SNS/SQS. Exposure to cloud infrastructure, such as AWS, Spinnaker, and Kubernetes Strong communicator and team player, able to adapt quickly and effectively in dynamic, fast-paced environments. A commitment to continuous learning, mentorship, and striving for excellence. Preferred Qualifications: Experience working in functional programming environments, especially with Scala and the Cats Effect ecosystem Experience managing Tier 1 production services, including participation in on-call rotations and incident response. Experience mentoring interns and junior engineers The hiring range for this position in New York, NY is $148,700 to $199,400 and in Los Angeles, CA is $141,900 to $190,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Date Posted: 2026-06-15 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Systems Engineering and Test Capabilities (SETC) organization is currently hiring a Senior Systems Engineer, for the Effectors team to join our Tucson, AZ location. SETC is an exciting and challenging environment where you will have the opportunity to design, develop and partner with multi-disciplines to shape innovative solutions for our customers. Join our organization and experience the Systems V engineering life cycle while interfacing with a variety of engineering disciplines, subject matter experts, Chief Engineers, Chief Technologists, the customer, and so many more to ensure we design, integrate, and strengthen our systems to work the first time and every time for our warfighters! As a Senior Systems Engineer - Effectors you will be responsible for technical rigor of requirements documents, including developing/writing requirements, updating existing requirements, coordination of requirement maintenance, across team collaboration, sharing program process knowledge, mentoring engineers, and working with the technical and program leads execute program tasks. Responsibilities include, but are not limited to, requirements management, providing SE oversight during integration and test activities. In this role, you will have the opportunity to work on an effectors project pertinent to the systems lifecycle. This role is on-site at our Tucson, AZ campus. What You Will Do • Update, maintain, and improve requirements and requirements documentation for development and production efforts • Support Design and System Verification testing • Provide SE guidance and support during integration and test efforts • Support system performance analysis, and Integration and Test • Mentor and guide team members, including engagement of Subject Matter Experts (SMEs) • Participate in Failure Investigations • Facilitate knowledge transfer within and across IPTs/CPTs to include Cross • Functional collaboration and coordination • Conduct Trade Studies and present results to customers • Support test equipment software integration and verification for system test Qualifications You Must Have • Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM preferred) and a minimum of 5 years of prior engineering experience. • Experience in Systems Engineering in one or more of the following areas: Developing & Refining CONOPS, System Architecture, System Requirement, Requirements Verification Strategies & Plans • Experience with developing system requirements specifications and requirements management processes • Verification and Qualification testing experience Qualifications We Prefer • Masters or PhD in Engineering, Computer Science, Math or Physics • Experience working with multi-disciplinary technical and/or engineering teams • Experience in Systems Engineering on a Missile Program • Experience in the Defense Industry beyond Raytheon • Experience using Agile framework development methods / processes • Experience with Model-Based Systems Engineering and associated tools • SW/FW Verification and Qualification testing experience • Prior experience with foreign military sales • A self-starter who can take on task with limited guidance • Customer focus and collaboration skills • Experience with performance analysis • Experience with DOORS and/or cPDM • Ability to perform trade studies to optimize system performance • Understanding of Systems Engineering Product Development Cycle • Familiarity with system safety, reliability, and configuration management • Experience with Agile, Model-Based Systems Engineering (MBSE), and/or Digital Engineering What We Offer • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. • Relocation Eligible - Relocation assistance is available Learn More & Apply Now! • Please consider the following role type definition as you apply for this role. • Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. • This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: • This position is an onsite role - Tucson, AZ: ,-az-location • We Are RTX As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
08/07/2026
Full time
Date Posted: 2026-06-15 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Systems Engineering and Test Capabilities (SETC) organization is currently hiring a Senior Systems Engineer, for the Effectors team to join our Tucson, AZ location. SETC is an exciting and challenging environment where you will have the opportunity to design, develop and partner with multi-disciplines to shape innovative solutions for our customers. Join our organization and experience the Systems V engineering life cycle while interfacing with a variety of engineering disciplines, subject matter experts, Chief Engineers, Chief Technologists, the customer, and so many more to ensure we design, integrate, and strengthen our systems to work the first time and every time for our warfighters! As a Senior Systems Engineer - Effectors you will be responsible for technical rigor of requirements documents, including developing/writing requirements, updating existing requirements, coordination of requirement maintenance, across team collaboration, sharing program process knowledge, mentoring engineers, and working with the technical and program leads execute program tasks. Responsibilities include, but are not limited to, requirements management, providing SE oversight during integration and test activities. In this role, you will have the opportunity to work on an effectors project pertinent to the systems lifecycle. This role is on-site at our Tucson, AZ campus. What You Will Do • Update, maintain, and improve requirements and requirements documentation for development and production efforts • Support Design and System Verification testing • Provide SE guidance and support during integration and test efforts • Support system performance analysis, and Integration and Test • Mentor and guide team members, including engagement of Subject Matter Experts (SMEs) • Participate in Failure Investigations • Facilitate knowledge transfer within and across IPTs/CPTs to include Cross • Functional collaboration and coordination • Conduct Trade Studies and present results to customers • Support test equipment software integration and verification for system test Qualifications You Must Have • Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM preferred) and a minimum of 5 years of prior engineering experience. • Experience in Systems Engineering in one or more of the following areas: Developing & Refining CONOPS, System Architecture, System Requirement, Requirements Verification Strategies & Plans • Experience with developing system requirements specifications and requirements management processes • Verification and Qualification testing experience Qualifications We Prefer • Masters or PhD in Engineering, Computer Science, Math or Physics • Experience working with multi-disciplinary technical and/or engineering teams • Experience in Systems Engineering on a Missile Program • Experience in the Defense Industry beyond Raytheon • Experience using Agile framework development methods / processes • Experience with Model-Based Systems Engineering and associated tools • SW/FW Verification and Qualification testing experience • Prior experience with foreign military sales • A self-starter who can take on task with limited guidance • Customer focus and collaboration skills • Experience with performance analysis • Experience with DOORS and/or cPDM • Ability to perform trade studies to optimize system performance • Understanding of Systems Engineering Product Development Cycle • Familiarity with system safety, reliability, and configuration management • Experience with Agile, Model-Based Systems Engineering (MBSE), and/or Digital Engineering What We Offer • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. • Relocation Eligible - Relocation assistance is available Learn More & Apply Now! • Please consider the following role type definition as you apply for this role. • Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. • This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: • This position is an onsite role - Tucson, AZ: ,-az-location • We Are RTX As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Disney Entertainment and ESPN Product & Technology
Seattle, Washington
Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The individual in this position will join the Data Stores team in an exciting and fast-paced environment where they will help build and maintain highly available relational database systems operating across multiple cloud and on-premise environments. These databases support many of the systems powering DEEP&T's digital media supply chain and consumer facing products. Job Summary: Join DEEP&T as a Senior Reliability Engineer, where you will analyze, design, program, debug, and modify software enhancements and new products for use in local, networked, cloud-based, or Internet-related computer programs. This role delivers large or highly complex software programs and systems that are critical to the organization's technology platforms and commercial applications. By leveraging in-depth knowledge of current programming languages and technologies, the Senior Reliability Engineer will write code, complete programming tasks, and perform testing and debugging of applications. The individual will interact with users to define system requirements and necessary modifications, conceive and implement software components, fixes, enhancements, and new systems. Their work directly impacts the organization by driving improvements in product quality, operational efficiency, and technical innovation, influencing future projects and technical direction We're looking for an individual who can apply software engineering principles to database engineering and administration to build processes and automation to help deliver infrastructure faster, safer, more consistently, and with the right level of observability required to operate at scale. Responsibilities and Duties of the Role: Responsible for building, deploying, and ensuring all DEEP&T database infrastructure is available 24/7/365. Leverage software development and automation to design, modernize, and deliver database infrastructure. Participates in setting the architectural direction for database platforms and projects. Manage multiple competing priorities in a fast-paced, deadline-oriented environment. Analyze, design, and deploy fault-tolerant, distributed, and highly available database infrastructure. Proactively plan and implement infrastructure changes through capacity forecasting, software release cycles, and right sizing. Provide database expertise through performance tuning, troubleshooting and administration. Develop, enhance, and adhere to engineering and administration standards. Develop automation and tooling to increase operational efficiency while ensuring system reliability and security. Build infrastructure and systems for scalability, resiliency, availability, and recovery though infrastructure as code and configuration management. Provide relevant insights of data store infrastructure through metrics, monitoring, and alerting. Maintain thorough and well-written documentation. Participate in live event support and on-call rotation. May provide oversight and direction to junior team members. Builds relationships with engineering teams and leads. Required Education, Experience/Skills/Training: Basic Experience Bachelor's degree, preferably in computer science, Engineering, or related field (or equivalent experience). 5+ years of related work experience with Microsoft SQL Server, Amazon RDS for SQL Server, Azure SQL, and Azure SQL MI. Fundamental understanding of Microsoft SQL Server database internals. Experience working in Agile software development. Experience with source control management tools (Git, GitLab, GitHub). Intermediate to advanced level of expertise in one or more programming languages such as Python, Java, or Go. General understanding and experience with Windows operating system, network, and containers. Excellent verbal and written communication skills. Experience designing and deploying fault-tolerant, distributed, and highly available database infrastructure. Experience in database availability monitoring and status reporting using native monitoring tools. Well-versed in SQL Server backup, restore, and recovery strategies. Experience keeping a large environment compliant by deploying SQL Server patches and upgrades. Experience with disaster recovery planning and implementation. Carries out assignments with little coaching or guidance from others. Preferred Experience Experience operating within a database reliability engineering (DRE) and/or systems reliability engineering (SRE) role. Experience running, deploying, and maintaining production systems in Azure and Amazon Web Services. Experience with infrastructure as code (Terraform, CloudFormation). Experience building a proper path to production leveraging multiple lifecycles, testing, integration, and CI/CD pipelines. Experience with the configuration and implementation of SQL Server Always On availability groups. Experience with configuration management (Ansible, Chef). Comfortable collaborating with cross-functional teams providing guidance in SQL Server best practices. Experience with proactively identifying problems/areas of improvement and designing creative solutions to successfully remediate issues. The hiring range for this position in Bristol, CT is $141,900 to $190,300 and in New York is 148,700 to $199,400$ per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/07/2026
Full time
Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The individual in this position will join the Data Stores team in an exciting and fast-paced environment where they will help build and maintain highly available relational database systems operating across multiple cloud and on-premise environments. These databases support many of the systems powering DEEP&T's digital media supply chain and consumer facing products. Job Summary: Join DEEP&T as a Senior Reliability Engineer, where you will analyze, design, program, debug, and modify software enhancements and new products for use in local, networked, cloud-based, or Internet-related computer programs. This role delivers large or highly complex software programs and systems that are critical to the organization's technology platforms and commercial applications. By leveraging in-depth knowledge of current programming languages and technologies, the Senior Reliability Engineer will write code, complete programming tasks, and perform testing and debugging of applications. The individual will interact with users to define system requirements and necessary modifications, conceive and implement software components, fixes, enhancements, and new systems. Their work directly impacts the organization by driving improvements in product quality, operational efficiency, and technical innovation, influencing future projects and technical direction We're looking for an individual who can apply software engineering principles to database engineering and administration to build processes and automation to help deliver infrastructure faster, safer, more consistently, and with the right level of observability required to operate at scale. Responsibilities and Duties of the Role: Responsible for building, deploying, and ensuring all DEEP&T database infrastructure is available 24/7/365. Leverage software development and automation to design, modernize, and deliver database infrastructure. Participates in setting the architectural direction for database platforms and projects. Manage multiple competing priorities in a fast-paced, deadline-oriented environment. Analyze, design, and deploy fault-tolerant, distributed, and highly available database infrastructure. Proactively plan and implement infrastructure changes through capacity forecasting, software release cycles, and right sizing. Provide database expertise through performance tuning, troubleshooting and administration. Develop, enhance, and adhere to engineering and administration standards. Develop automation and tooling to increase operational efficiency while ensuring system reliability and security. Build infrastructure and systems for scalability, resiliency, availability, and recovery though infrastructure as code and configuration management. Provide relevant insights of data store infrastructure through metrics, monitoring, and alerting. Maintain thorough and well-written documentation. Participate in live event support and on-call rotation. May provide oversight and direction to junior team members. Builds relationships with engineering teams and leads. Required Education, Experience/Skills/Training: Basic Experience Bachelor's degree, preferably in computer science, Engineering, or related field (or equivalent experience). 5+ years of related work experience with Microsoft SQL Server, Amazon RDS for SQL Server, Azure SQL, and Azure SQL MI. Fundamental understanding of Microsoft SQL Server database internals. Experience working in Agile software development. Experience with source control management tools (Git, GitLab, GitHub). Intermediate to advanced level of expertise in one or more programming languages such as Python, Java, or Go. General understanding and experience with Windows operating system, network, and containers. Excellent verbal and written communication skills. Experience designing and deploying fault-tolerant, distributed, and highly available database infrastructure. Experience in database availability monitoring and status reporting using native monitoring tools. Well-versed in SQL Server backup, restore, and recovery strategies. Experience keeping a large environment compliant by deploying SQL Server patches and upgrades. Experience with disaster recovery planning and implementation. Carries out assignments with little coaching or guidance from others. Preferred Experience Experience operating within a database reliability engineering (DRE) and/or systems reliability engineering (SRE) role. Experience running, deploying, and maintaining production systems in Azure and Amazon Web Services. Experience with infrastructure as code (Terraform, CloudFormation). Experience building a proper path to production leveraging multiple lifecycles, testing, integration, and CI/CD pipelines. Experience with the configuration and implementation of SQL Server Always On availability groups. Experience with configuration management (Ansible, Chef). Comfortable collaborating with cross-functional teams providing guidance in SQL Server best practices. Experience with proactively identifying problems/areas of improvement and designing creative solutions to successfully remediate issues. The hiring range for this position in Bristol, CT is $141,900 to $190,300 and in New York is 148,700 to $199,400$ per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Disney Entertainment and ESPN Product & Technology
Bristol, Connecticut
Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The individual in this position will join the Data Stores team in an exciting and fast-paced environment where they will help build and maintain highly available relational database systems operating across multiple cloud and on-premise environments. These databases support many of the systems powering DEEP&T's digital media supply chain and consumer facing products. Job Summary: Join DEEP&T as a Senior Reliability Engineer, where you will analyze, design, program, debug, and modify software enhancements and new products for use in local, networked, cloud-based, or Internet-related computer programs. This role delivers large or highly complex software programs and systems that are critical to the organization's technology platforms and commercial applications. By leveraging in-depth knowledge of current programming languages and technologies, the Senior Reliability Engineer will write code, complete programming tasks, and perform testing and debugging of applications. The individual will interact with users to define system requirements and necessary modifications, conceive and implement software components, fixes, enhancements, and new systems. Their work directly impacts the organization by driving improvements in product quality, operational efficiency, and technical innovation, influencing future projects and technical direction We're looking for an individual who can apply software engineering principles to database engineering and administration to build processes and automation to help deliver infrastructure faster, safer, more consistently, and with the right level of observability required to operate at scale. Responsibilities and Duties of the Role: Responsible for building, deploying, and ensuring all DEEP&T database infrastructure is available 24/7/365. Leverage software development and automation to design, modernize, and deliver database infrastructure. Participates in setting the architectural direction for database platforms and projects. Manage multiple competing priorities in a fast-paced, deadline-oriented environment. Analyze, design, and deploy fault-tolerant, distributed, and highly available database infrastructure. Proactively plan and implement infrastructure changes through capacity forecasting, software release cycles, and right sizing. Provide database expertise through performance tuning, troubleshooting and administration. Develop, enhance, and adhere to engineering and administration standards. Develop automation and tooling to increase operational efficiency while ensuring system reliability and security. Build infrastructure and systems for scalability, resiliency, availability, and recovery though infrastructure as code and configuration management. Provide relevant insights of data store infrastructure through metrics, monitoring, and alerting. Maintain thorough and well-written documentation. Participate in live event support and on-call rotation. May provide oversight and direction to junior team members. Builds relationships with engineering teams and leads. Required Education, Experience/Skills/Training: Basic Experience Bachelor's degree, preferably in computer science, Engineering, or related field (or equivalent experience). 5+ years of related work experience with Microsoft SQL Server, Amazon RDS for SQL Server, Azure SQL, and Azure SQL MI. Fundamental understanding of Microsoft SQL Server database internals. Experience working in Agile software development. Experience with source control management tools (Git, GitLab, GitHub). Intermediate to advanced level of expertise in one or more programming languages such as Python, Java, or Go. General understanding and experience with Windows operating system, network, and containers. Excellent verbal and written communication skills. Experience designing and deploying fault-tolerant, distributed, and highly available database infrastructure. Experience in database availability monitoring and status reporting using native monitoring tools. Well-versed in SQL Server backup, restore, and recovery strategies. Experience keeping a large environment compliant by deploying SQL Server patches and upgrades. Experience with disaster recovery planning and implementation. Carries out assignments with little coaching or guidance from others. Preferred Experience Experience operating within a database reliability engineering (DRE) and/or systems reliability engineering (SRE) role. Experience running, deploying, and maintaining production systems in Azure and Amazon Web Services. Experience with infrastructure as code (Terraform, CloudFormation). Experience building a proper path to production leveraging multiple lifecycles, testing, integration, and CI/CD pipelines. Experience with the configuration and implementation of SQL Server Always On availability groups. Experience with configuration management (Ansible, Chef). Comfortable collaborating with cross-functional teams providing guidance in SQL Server best practices. Experience with proactively identifying problems/areas of improvement and designing creative solutions to successfully remediate issues. The hiring range for this position in Bristol, CT is $141,900 to $190,300 and in New York is 148,700 to $199,400$ per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/07/2026
Full time
Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The individual in this position will join the Data Stores team in an exciting and fast-paced environment where they will help build and maintain highly available relational database systems operating across multiple cloud and on-premise environments. These databases support many of the systems powering DEEP&T's digital media supply chain and consumer facing products. Job Summary: Join DEEP&T as a Senior Reliability Engineer, where you will analyze, design, program, debug, and modify software enhancements and new products for use in local, networked, cloud-based, or Internet-related computer programs. This role delivers large or highly complex software programs and systems that are critical to the organization's technology platforms and commercial applications. By leveraging in-depth knowledge of current programming languages and technologies, the Senior Reliability Engineer will write code, complete programming tasks, and perform testing and debugging of applications. The individual will interact with users to define system requirements and necessary modifications, conceive and implement software components, fixes, enhancements, and new systems. Their work directly impacts the organization by driving improvements in product quality, operational efficiency, and technical innovation, influencing future projects and technical direction We're looking for an individual who can apply software engineering principles to database engineering and administration to build processes and automation to help deliver infrastructure faster, safer, more consistently, and with the right level of observability required to operate at scale. Responsibilities and Duties of the Role: Responsible for building, deploying, and ensuring all DEEP&T database infrastructure is available 24/7/365. Leverage software development and automation to design, modernize, and deliver database infrastructure. Participates in setting the architectural direction for database platforms and projects. Manage multiple competing priorities in a fast-paced, deadline-oriented environment. Analyze, design, and deploy fault-tolerant, distributed, and highly available database infrastructure. Proactively plan and implement infrastructure changes through capacity forecasting, software release cycles, and right sizing. Provide database expertise through performance tuning, troubleshooting and administration. Develop, enhance, and adhere to engineering and administration standards. Develop automation and tooling to increase operational efficiency while ensuring system reliability and security. Build infrastructure and systems for scalability, resiliency, availability, and recovery though infrastructure as code and configuration management. Provide relevant insights of data store infrastructure through metrics, monitoring, and alerting. Maintain thorough and well-written documentation. Participate in live event support and on-call rotation. May provide oversight and direction to junior team members. Builds relationships with engineering teams and leads. Required Education, Experience/Skills/Training: Basic Experience Bachelor's degree, preferably in computer science, Engineering, or related field (or equivalent experience). 5+ years of related work experience with Microsoft SQL Server, Amazon RDS for SQL Server, Azure SQL, and Azure SQL MI. Fundamental understanding of Microsoft SQL Server database internals. Experience working in Agile software development. Experience with source control management tools (Git, GitLab, GitHub). Intermediate to advanced level of expertise in one or more programming languages such as Python, Java, or Go. General understanding and experience with Windows operating system, network, and containers. Excellent verbal and written communication skills. Experience designing and deploying fault-tolerant, distributed, and highly available database infrastructure. Experience in database availability monitoring and status reporting using native monitoring tools. Well-versed in SQL Server backup, restore, and recovery strategies. Experience keeping a large environment compliant by deploying SQL Server patches and upgrades. Experience with disaster recovery planning and implementation. Carries out assignments with little coaching or guidance from others. Preferred Experience Experience operating within a database reliability engineering (DRE) and/or systems reliability engineering (SRE) role. Experience running, deploying, and maintaining production systems in Azure and Amazon Web Services. Experience with infrastructure as code (Terraform, CloudFormation). Experience building a proper path to production leveraging multiple lifecycles, testing, integration, and CI/CD pipelines. Experience with the configuration and implementation of SQL Server Always On availability groups. Experience with configuration management (Ansible, Chef). Comfortable collaborating with cross-functional teams providing guidance in SQL Server best practices. Experience with proactively identifying problems/areas of improvement and designing creative solutions to successfully remediate issues. The hiring range for this position in Bristol, CT is $141,900 to $190,300 and in New York is 148,700 to $199,400$ per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
COMPANY OVERVIEW: A leader in heat treatment and specialty mechanical services, our client is one of the most in-demand heat treatment companies in the nation. TITLE: Business Development Manager COMPENSATION: Competitive Salary + Bonus BENEFITS: Full package LOCATION: Tulsa, OK DUTIES OF RESPONSIBILITIES Develop and execute strategic business development plans to achieve revenue and growth objectives. Identify, qualify, and pursue new business opportunities within target accounts. Establish and maintain relationships with maintenance managers, turnaround managers, reliability engineers, project managers, operations leadership, and procurement professionals. Generate and maintain a healthy sales pipeline through proactive prospecting, networking, referrals, and customer engagement. Conduct customer meetings, presentations, and site visits to understand client needs and present value-driven solutions. Collaborate with operations, estimating, and leadership teams to develop proposals and service solutions. Negotiate contracts and service agreements while maintaining profitability objectives. Maintain accurate opportunity tracking, forecasting, and customer activity within Salesforce CRM. Monitor market trends, competitor activity, and customer spending initiatives to identify growth opportunities. Represent the organization at industry events, conferences, trade shows, and networking functions. EXPERIENCE AND QUALIFICATIONS 5+ years of business development, account management, or technical sales experience within the industrial services sector. Demonstrated success selling into refining, petrochemical, chemical, power, or heavy industrial markets. Experience utilizing Salesforce CRM for pipeline management, opportunity tracking, and forecasting. Proven ability to develop new business while growing existing customer relationships. Strong communication, presentation, negotiation, and relationship-building skills. Self-motivated with the ability to work independently and manage multiple opportunities simultaneously. Valid drivers license and ability to travel as needed. PLEASE NOTE: We try to respond to everyone who applies for our jobs, but in periods of high activity it may not be possible. We hope we can personally help you find your new job and wish you success in your job search. For more information, please email Toni Rosario at (e-mail removed)
08/07/2026
COMPANY OVERVIEW: A leader in heat treatment and specialty mechanical services, our client is one of the most in-demand heat treatment companies in the nation. TITLE: Business Development Manager COMPENSATION: Competitive Salary + Bonus BENEFITS: Full package LOCATION: Tulsa, OK DUTIES OF RESPONSIBILITIES Develop and execute strategic business development plans to achieve revenue and growth objectives. Identify, qualify, and pursue new business opportunities within target accounts. Establish and maintain relationships with maintenance managers, turnaround managers, reliability engineers, project managers, operations leadership, and procurement professionals. Generate and maintain a healthy sales pipeline through proactive prospecting, networking, referrals, and customer engagement. Conduct customer meetings, presentations, and site visits to understand client needs and present value-driven solutions. Collaborate with operations, estimating, and leadership teams to develop proposals and service solutions. Negotiate contracts and service agreements while maintaining profitability objectives. Maintain accurate opportunity tracking, forecasting, and customer activity within Salesforce CRM. Monitor market trends, competitor activity, and customer spending initiatives to identify growth opportunities. Represent the organization at industry events, conferences, trade shows, and networking functions. EXPERIENCE AND QUALIFICATIONS 5+ years of business development, account management, or technical sales experience within the industrial services sector. Demonstrated success selling into refining, petrochemical, chemical, power, or heavy industrial markets. Experience utilizing Salesforce CRM for pipeline management, opportunity tracking, and forecasting. Proven ability to develop new business while growing existing customer relationships. Strong communication, presentation, negotiation, and relationship-building skills. Self-motivated with the ability to work independently and manage multiple opportunities simultaneously. Valid drivers license and ability to travel as needed. PLEASE NOTE: We try to respond to everyone who applies for our jobs, but in periods of high activity it may not be possible. We hope we can personally help you find your new job and wish you success in your job search. For more information, please email Toni Rosario at (e-mail removed)
We are partnering with an early-stage, cutting-edge AI startup in New York City to hire a Full Stack AI Engineer with strong zero-to-one product-building experience. This is a fully onsite position. Candidates must currently live within commuting distance of New York City and be able to work from the companys Manhattan office five days per week. Please do not apply if you are seeking remote or hybrid work. About the Role Our client is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up. You will work closely with the founders to turn ideas into production-ready applications and help shape the companys technical foundation. The right candidate is comfortable working across frontend, backend, infrastructure, and AI systems. You should enjoy fast-moving startup environments, changing requirements, rapid iteration, and taking complete ownership of what you build. Responsibilities Build, test, launch, and improve full-stack products from zero to one Develop modern frontend applications using React, Next.js, or similar technologies Build backend services, APIs, databases, and third-party integrations Create AI-powered features using large language models and multimodal models Build AI agents that can use tools, complete workflows, and interact with external systems Develop retrieval-augmented generation, embeddings, vector search, and knowledge systems Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems Implement structured outputs, tool calling, model routing, and human approval workflows Build evaluation, monitoring, and testing systems for AI performance Improve application reliability, scalability, security, latency, and AI inference costs Work directly with founders, users, and product stakeholders Help make product, architecture, and technology decisions Qualifications 4 or more years of professional software engineering experience Proven experience building and launching a product from zero to one Prior experience working at an early-stage startup Strong experience across frontend and backend development Strong skills in TypeScript, JavaScript, React, and Next.js Backend experience with Node.js, Python, FastAPI, Go, or similar technologies Experience with PostgreSQL, APIs, cloud infrastructure, and production deployments Hands-on experience integrating large language models into production applications Experience with AI agents, RAG, tool calling, embeddings, multimodal AI, or voice AI Strong product judgment and the ability to operate with limited direction Ability to move quickly while maintaining high engineering standards Must be actively hands-on and writing production code Preferred Experience OpenAI, Anthropic, Gemini, or open-source AI models Model Context Protocol and agent orchestration frameworks LangGraph, LlamaIndex, Vercel AI SDK, or similar tools Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector Voice AI, WebSockets, WebRTC, or real-time streaming systems AI evaluations, observability, prompt injection protection, and model security Docker, AWS, Google Cloud, Azure, or serverless infrastructure Experience as an early, founding, or first engineering hire Ideal Candidate You are a builder who prefers creating new products over maintaining mature systems. You are comfortable wearing multiple hats, making decisions quickly, and turning incomplete ideas into products customers can use. You understand that strong AI products require more than connecting an application to a model API. You know how to build dependable workflows, evaluate output quality, manage latency and cost, and create safeguards around AI-generated actions. Candidates whose experience is exclusively with FAANG companies, large enterprises, or mature technology organizations will not be considered. FAANG experience is welcome when combined with meaningful early-stage startup and zero-to-one product experience. Location Requirement This position is onsite in Manhattan five days per week. Candidates must already live within a reasonable commuting distance of New York City. Remote, hybrid, relocation-dependent, and out-of-area candidates will not be considered.
08/07/2026
We are partnering with an early-stage, cutting-edge AI startup in New York City to hire a Full Stack AI Engineer with strong zero-to-one product-building experience. This is a fully onsite position. Candidates must currently live within commuting distance of New York City and be able to work from the companys Manhattan office five days per week. Please do not apply if you are seeking remote or hybrid work. About the Role Our client is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up. You will work closely with the founders to turn ideas into production-ready applications and help shape the companys technical foundation. The right candidate is comfortable working across frontend, backend, infrastructure, and AI systems. You should enjoy fast-moving startup environments, changing requirements, rapid iteration, and taking complete ownership of what you build. Responsibilities Build, test, launch, and improve full-stack products from zero to one Develop modern frontend applications using React, Next.js, or similar technologies Build backend services, APIs, databases, and third-party integrations Create AI-powered features using large language models and multimodal models Build AI agents that can use tools, complete workflows, and interact with external systems Develop retrieval-augmented generation, embeddings, vector search, and knowledge systems Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems Implement structured outputs, tool calling, model routing, and human approval workflows Build evaluation, monitoring, and testing systems for AI performance Improve application reliability, scalability, security, latency, and AI inference costs Work directly with founders, users, and product stakeholders Help make product, architecture, and technology decisions Qualifications 4 or more years of professional software engineering experience Proven experience building and launching a product from zero to one Prior experience working at an early-stage startup Strong experience across frontend and backend development Strong skills in TypeScript, JavaScript, React, and Next.js Backend experience with Node.js, Python, FastAPI, Go, or similar technologies Experience with PostgreSQL, APIs, cloud infrastructure, and production deployments Hands-on experience integrating large language models into production applications Experience with AI agents, RAG, tool calling, embeddings, multimodal AI, or voice AI Strong product judgment and the ability to operate with limited direction Ability to move quickly while maintaining high engineering standards Must be actively hands-on and writing production code Preferred Experience OpenAI, Anthropic, Gemini, or open-source AI models Model Context Protocol and agent orchestration frameworks LangGraph, LlamaIndex, Vercel AI SDK, or similar tools Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector Voice AI, WebSockets, WebRTC, or real-time streaming systems AI evaluations, observability, prompt injection protection, and model security Docker, AWS, Google Cloud, Azure, or serverless infrastructure Experience as an early, founding, or first engineering hire Ideal Candidate You are a builder who prefers creating new products over maintaining mature systems. You are comfortable wearing multiple hats, making decisions quickly, and turning incomplete ideas into products customers can use. You understand that strong AI products require more than connecting an application to a model API. You know how to build dependable workflows, evaluate output quality, manage latency and cost, and create safeguards around AI-generated actions. Candidates whose experience is exclusively with FAANG companies, large enterprises, or mature technology organizations will not be considered. FAANG experience is welcome when combined with meaningful early-stage startup and zero-to-one product experience. Location Requirement This position is onsite in Manhattan five days per week. Candidates must already live within a reasonable commuting distance of New York City. Remote, hybrid, relocation-dependent, and out-of-area candidates will not be considered.
We are partnering with an early-stage, cutting-edge AI startup in San Francisco to hire a Full Stack AI Engineer with strong zero-to-one product-building experience. This is a fully onsite position. Candidates must currently live in the San Francisco Bay Area and be able to work from the companys San Francisco office five days per week. Please do not apply if you are seeking remote or hybrid work. About the Role Our client is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up. You will work closely with the founders to turn ideas into production-ready applications and help shape the companys technical foundation. The right candidate is comfortable working across frontend, backend, infrastructure, and AI systems. You should enjoy fast-moving startup environments, unclear requirements, rapid iteration, and taking full ownership of what you build. Responsibilities Build, test, launch, and improve full-stack products from zero to one Develop modern frontend applications using React, Next.js, or similar technologies Build backend services, APIs, databases, and integrations Create AI-powered features using large language models and multimodal models Build AI agents that can use tools, complete workflows, and interact with external systems Develop retrieval-augmented generation, embeddings, vector search, and knowledge systems Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems Implement model routing, structured outputs, tool calling, and human approval workflows Build evaluation, monitoring, and testing systems for AI performance Improve application speed, reliability, scalability, security, and AI inference costs Work directly with founders, users, and product stakeholders Help make product, architecture, and technology decisions Qualifications 4 or more years of professional software engineering experience Proven experience building and launching a product from zero to one Strong experience across both frontend and backend development Experience working at an early-stage startup Strong skills in TypeScript, JavaScript, React, and Next.js Backend experience with Node.js, Python, FastAPI, Go, or similar technologies Experience with PostgreSQL, APIs, cloud infrastructure, and production deployments Hands-on experience integrating large language models into production applications Experience with AI agents, RAG, tool calling, embeddings, or multimodal AI Strong product judgment and the ability to work with limited direction Ability to move quickly while maintaining high engineering standards Preferred Experience OpenAI, Anthropic, Gemini, or open-source AI models Model Context Protocol and agent orchestration frameworks LangGraph, LlamaIndex, Vercel AI SDK, or similar tools Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector Voice AI, WebSockets, WebRTC, or real-time streaming systems AI evaluations, observability, prompt injection protection, and model security Docker, AWS, Google Cloud, Azure, or serverless infrastructure Experience as an early, founding, or first engineering hire Ideal Candidate You are a builder who prefers creating new products over maintaining mature systems. You are comfortable wearing multiple hats, making decisions quickly, and turning incomplete ideas into products that customers can use. You understand that strong AI products require more than connecting to a model API. You know how to build dependable workflows, evaluate output quality, manage latency and cost, and create safeguards around AI-generated actions. Location Requirement This role is onsite in San Francisco five days per week. Candidates must already live within a reasonable commuting distance of San Francisco. Remote, hybrid, relocation-dependent, and out-of-area candidates will not be considered.
08/07/2026
We are partnering with an early-stage, cutting-edge AI startup in San Francisco to hire a Full Stack AI Engineer with strong zero-to-one product-building experience. This is a fully onsite position. Candidates must currently live in the San Francisco Bay Area and be able to work from the companys San Francisco office five days per week. Please do not apply if you are seeking remote or hybrid work. About the Role Our client is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up. You will work closely with the founders to turn ideas into production-ready applications and help shape the companys technical foundation. The right candidate is comfortable working across frontend, backend, infrastructure, and AI systems. You should enjoy fast-moving startup environments, unclear requirements, rapid iteration, and taking full ownership of what you build. Responsibilities Build, test, launch, and improve full-stack products from zero to one Develop modern frontend applications using React, Next.js, or similar technologies Build backend services, APIs, databases, and integrations Create AI-powered features using large language models and multimodal models Build AI agents that can use tools, complete workflows, and interact with external systems Develop retrieval-augmented generation, embeddings, vector search, and knowledge systems Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems Implement model routing, structured outputs, tool calling, and human approval workflows Build evaluation, monitoring, and testing systems for AI performance Improve application speed, reliability, scalability, security, and AI inference costs Work directly with founders, users, and product stakeholders Help make product, architecture, and technology decisions Qualifications 4 or more years of professional software engineering experience Proven experience building and launching a product from zero to one Strong experience across both frontend and backend development Experience working at an early-stage startup Strong skills in TypeScript, JavaScript, React, and Next.js Backend experience with Node.js, Python, FastAPI, Go, or similar technologies Experience with PostgreSQL, APIs, cloud infrastructure, and production deployments Hands-on experience integrating large language models into production applications Experience with AI agents, RAG, tool calling, embeddings, or multimodal AI Strong product judgment and the ability to work with limited direction Ability to move quickly while maintaining high engineering standards Preferred Experience OpenAI, Anthropic, Gemini, or open-source AI models Model Context Protocol and agent orchestration frameworks LangGraph, LlamaIndex, Vercel AI SDK, or similar tools Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector Voice AI, WebSockets, WebRTC, or real-time streaming systems AI evaluations, observability, prompt injection protection, and model security Docker, AWS, Google Cloud, Azure, or serverless infrastructure Experience as an early, founding, or first engineering hire Ideal Candidate You are a builder who prefers creating new products over maintaining mature systems. You are comfortable wearing multiple hats, making decisions quickly, and turning incomplete ideas into products that customers can use. You understand that strong AI products require more than connecting to a model API. You know how to build dependable workflows, evaluate output quality, manage latency and cost, and create safeguards around AI-generated actions. Location Requirement This role is onsite in San Francisco five days per week. Candidates must already live within a reasonable commuting distance of San Francisco. Remote, hybrid, relocation-dependent, and out-of-area candidates will not be considered.
TRIBUS is seeking an NPI Engineer to help build and enhance our API-driven real estate brokerage platforms, websites, CRM, and data tools. In this remote role, you'll architect and implement secure, scalable integrations and services that handle sensitive brokerage and client data. You'll work closely with our small, expert team and brokerage partners to translate business requirements into robust technical solutions, optimize performance and reliability, and ensure strong security and privacy practices across our products used by brokerages nationwide.
08/07/2026
Full time
TRIBUS is seeking an NPI Engineer to help build and enhance our API-driven real estate brokerage platforms, websites, CRM, and data tools. In this remote role, you'll architect and implement secure, scalable integrations and services that handle sensitive brokerage and client data. You'll work closely with our small, expert team and brokerage partners to translate business requirements into robust technical solutions, optimize performance and reliability, and ensure strong security and privacy practices across our products used by brokerages nationwide.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking Associate Systems Engineers to join one of our St. Louis, MO (Berkeley, Hazelwood, Saint Charles) based teams. Our St. Louis based teams are responsible for development, production, trainers, and sustainment for some of the most advanced defense and weapon systems in the world - including, but not limited to: Fighters/Tactical (F-47, F-15, F/A-18, F-22, & T-7A), Autonomous Systems (MQ-25), Precision Engagement Systems (JDAM, SDB, etc ), and other advanced proprietary systems (Phantom Works) and platforms (AH-64, P-8, C-17, etc.) . Our teams are currently hiring a broad range of A ssociate Systems Engineers in the following disciplines: Systems Architecture, Requirements and Interfaces Definition Systems Integration, Verification, & Validation Reliability, Maintainability, & System Health Human Factors & Ergonomics Operations / Systems Analysis Flight Crew Operations Integrations Crew Station Design & Integration Position Responsibilities: Contribute to systems engineering efforts on new development, production, and/or sustainment programs, ensuring alignment with program goals and objectives Work with teams across disciplines to write and keep system requirements, interfaces, verification, and test criteria up to date Perform analyses for affordability, safety, reliability, maintainability, testability, human factors, survivability, vulnerability, security, and product assurance Support program design reviews and technical assessments Track and update requirements, risks/issues/opportunities, tools, and technology readiness Help adopt and use modern systems engineering methods (for example, Model-Based Systems Engineering) This position is expected to be 100% onsite (no hybrid or remote options). The selected candidate will be required to work onsite at one of the listed location options. Travel may be required ; Domestically and/or Internationally depending on business needs. This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required Special Program Access or other Government Access Requirements may be required for these positions Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 2 or more years' related engineering experience Preferred Qualifications (Desired Skills/Experience): Active U.S. Security Clearance Prior Systems Engineering experience ( i.e. system design, functional decomposition, requirements development, analysis, verification, and validation) Experience with Aircraft, Mission Systems and/or Weapon System development Experience with verification and/or certification efforts (including supporting military safety critical and/or mission critical system hardware and software certification) Experience collaborating with multi-discipline teams to support technical program reviews Experience with Model Based Systems Engineering (MBSE) tools, such as Cameo, MSOSA or similar Systems Modeling Language ( SysML )-compatible tool for systems architecture and model development Technical understanding and experience with any of the following: DOORS, Cadece / Pspice , Python, C#, C++, JavaScript, Visual Studio, Subversion, Azure DevOps, Git, CAFTA, ReliaSoft or FaultTree + Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 2: $ 91,800 - $124,200 The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Applications for this position will be accepted until Aug. 17, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
08/07/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking Associate Systems Engineers to join one of our St. Louis, MO (Berkeley, Hazelwood, Saint Charles) based teams. Our St. Louis based teams are responsible for development, production, trainers, and sustainment for some of the most advanced defense and weapon systems in the world - including, but not limited to: Fighters/Tactical (F-47, F-15, F/A-18, F-22, & T-7A), Autonomous Systems (MQ-25), Precision Engagement Systems (JDAM, SDB, etc ), and other advanced proprietary systems (Phantom Works) and platforms (AH-64, P-8, C-17, etc.) . Our teams are currently hiring a broad range of A ssociate Systems Engineers in the following disciplines: Systems Architecture, Requirements and Interfaces Definition Systems Integration, Verification, & Validation Reliability, Maintainability, & System Health Human Factors & Ergonomics Operations / Systems Analysis Flight Crew Operations Integrations Crew Station Design & Integration Position Responsibilities: Contribute to systems engineering efforts on new development, production, and/or sustainment programs, ensuring alignment with program goals and objectives Work with teams across disciplines to write and keep system requirements, interfaces, verification, and test criteria up to date Perform analyses for affordability, safety, reliability, maintainability, testability, human factors, survivability, vulnerability, security, and product assurance Support program design reviews and technical assessments Track and update requirements, risks/issues/opportunities, tools, and technology readiness Help adopt and use modern systems engineering methods (for example, Model-Based Systems Engineering) This position is expected to be 100% onsite (no hybrid or remote options). The selected candidate will be required to work onsite at one of the listed location options. Travel may be required ; Domestically and/or Internationally depending on business needs. This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required Special Program Access or other Government Access Requirements may be required for these positions Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 2 or more years' related engineering experience Preferred Qualifications (Desired Skills/Experience): Active U.S. Security Clearance Prior Systems Engineering experience ( i.e. system design, functional decomposition, requirements development, analysis, verification, and validation) Experience with Aircraft, Mission Systems and/or Weapon System development Experience with verification and/or certification efforts (including supporting military safety critical and/or mission critical system hardware and software certification) Experience collaborating with multi-discipline teams to support technical program reviews Experience with Model Based Systems Engineering (MBSE) tools, such as Cameo, MSOSA or similar Systems Modeling Language ( SysML )-compatible tool for systems architecture and model development Technical understanding and experience with any of the following: DOORS, Cadece / Pspice , Python, C#, C++, JavaScript, Visual Studio, Subversion, Azure DevOps, Git, CAFTA, ReliaSoft or FaultTree + Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 2: $ 91,800 - $124,200 The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Applications for this position will be accepted until Aug. 17, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Disney Entertainment and ESPN Product & Technology
New York, New York
Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The individual in this position will join the Data Stores team in an exciting and fast-paced environment where they will help build and maintain highly available relational database systems operating across multiple cloud and on-premise environments. These databases support many of the systems powering DEEP&T's digital media supply chain and consumer facing products. Job Summary: Join DEEP&T as a Senior Reliability Engineer, where you will analyze, design, program, debug, and modify software enhancements and new products for use in local, networked, cloud-based, or Internet-related computer programs. This role delivers large or highly complex software programs and systems that are critical to the organization's technology platforms and commercial applications. By leveraging in-depth knowledge of current programming languages and technologies, the Senior Reliability Engineer will write code, complete programming tasks, and perform testing and debugging of applications. The individual will interact with users to define system requirements and necessary modifications, conceive and implement software components, fixes, enhancements, and new systems. Their work directly impacts the organization by driving improvements in product quality, operational efficiency, and technical innovation, influencing future projects and technical direction We're looking for an individual who can apply software engineering principles to database engineering and administration to build processes and automation to help deliver infrastructure faster, safer, more consistently, and with the right level of observability required to operate at scale. Responsibilities and Duties of the Role: Responsible for building, deploying, and ensuring all DEEP&T database infrastructure is available 24/7/365. Leverage software development and automation to design, modernize, and deliver database infrastructure. Participates in setting the architectural direction for database platforms and projects. Manage multiple competing priorities in a fast-paced, deadline-oriented environment. Analyze, design, and deploy fault-tolerant, distributed, and highly available database infrastructure. Proactively plan and implement infrastructure changes through capacity forecasting, software release cycles, and right sizing. Provide database expertise through performance tuning, troubleshooting and administration. Develop, enhance, and adhere to engineering and administration standards. Develop automation and tooling to increase operational efficiency while ensuring system reliability and security. Build infrastructure and systems for scalability, resiliency, availability, and recovery though infrastructure as code and configuration management. Provide relevant insights of data store infrastructure through metrics, monitoring, and alerting. Maintain thorough and well-written documentation. Participate in live event support and on-call rotation. May provide oversight and direction to junior team members. Builds relationships with engineering teams and leads. Required Education, Experience/Skills/Training: Basic Experience Bachelor's degree, preferably in computer science, Engineering, or related field (or equivalent experience). 5+ years of related work experience with Microsoft SQL Server, Amazon RDS for SQL Server, Azure SQL, and Azure SQL MI. Fundamental understanding of Microsoft SQL Server database internals. Experience working in Agile software development. Experience with source control management tools (Git, GitLab, GitHub). Intermediate to advanced level of expertise in one or more programming languages such as Python, Java, or Go. General understanding and experience with Windows operating system, network, and containers. Excellent verbal and written communication skills. Experience designing and deploying fault-tolerant, distributed, and highly available database infrastructure. Experience in database availability monitoring and status reporting using native monitoring tools. Well-versed in SQL Server backup, restore, and recovery strategies. Experience keeping a large environment compliant by deploying SQL Server patches and upgrades. Experience with disaster recovery planning and implementation. Carries out assignments with little coaching or guidance from others. Preferred Experience Experience operating within a database reliability engineering (DRE) and/or systems reliability engineering (SRE) role. Experience running, deploying, and maintaining production systems in Azure and Amazon Web Services. Experience with infrastructure as code (Terraform, CloudFormation). Experience building a proper path to production leveraging multiple lifecycles, testing, integration, and CI/CD pipelines. Experience with the configuration and implementation of SQL Server Always On availability groups. Experience with configuration management (Ansible, Chef). Comfortable collaborating with cross-functional teams providing guidance in SQL Server best practices. Experience with proactively identifying problems/areas of improvement and designing creative solutions to successfully remediate issues. The hiring range for this position in Bristol, CT is $141,900 to $190,300 and in New York is 148,700 to $199,400$ per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/07/2026
Full time
Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The individual in this position will join the Data Stores team in an exciting and fast-paced environment where they will help build and maintain highly available relational database systems operating across multiple cloud and on-premise environments. These databases support many of the systems powering DEEP&T's digital media supply chain and consumer facing products. Job Summary: Join DEEP&T as a Senior Reliability Engineer, where you will analyze, design, program, debug, and modify software enhancements and new products for use in local, networked, cloud-based, or Internet-related computer programs. This role delivers large or highly complex software programs and systems that are critical to the organization's technology platforms and commercial applications. By leveraging in-depth knowledge of current programming languages and technologies, the Senior Reliability Engineer will write code, complete programming tasks, and perform testing and debugging of applications. The individual will interact with users to define system requirements and necessary modifications, conceive and implement software components, fixes, enhancements, and new systems. Their work directly impacts the organization by driving improvements in product quality, operational efficiency, and technical innovation, influencing future projects and technical direction We're looking for an individual who can apply software engineering principles to database engineering and administration to build processes and automation to help deliver infrastructure faster, safer, more consistently, and with the right level of observability required to operate at scale. Responsibilities and Duties of the Role: Responsible for building, deploying, and ensuring all DEEP&T database infrastructure is available 24/7/365. Leverage software development and automation to design, modernize, and deliver database infrastructure. Participates in setting the architectural direction for database platforms and projects. Manage multiple competing priorities in a fast-paced, deadline-oriented environment. Analyze, design, and deploy fault-tolerant, distributed, and highly available database infrastructure. Proactively plan and implement infrastructure changes through capacity forecasting, software release cycles, and right sizing. Provide database expertise through performance tuning, troubleshooting and administration. Develop, enhance, and adhere to engineering and administration standards. Develop automation and tooling to increase operational efficiency while ensuring system reliability and security. Build infrastructure and systems for scalability, resiliency, availability, and recovery though infrastructure as code and configuration management. Provide relevant insights of data store infrastructure through metrics, monitoring, and alerting. Maintain thorough and well-written documentation. Participate in live event support and on-call rotation. May provide oversight and direction to junior team members. Builds relationships with engineering teams and leads. Required Education, Experience/Skills/Training: Basic Experience Bachelor's degree, preferably in computer science, Engineering, or related field (or equivalent experience). 5+ years of related work experience with Microsoft SQL Server, Amazon RDS for SQL Server, Azure SQL, and Azure SQL MI. Fundamental understanding of Microsoft SQL Server database internals. Experience working in Agile software development. Experience with source control management tools (Git, GitLab, GitHub). Intermediate to advanced level of expertise in one or more programming languages such as Python, Java, or Go. General understanding and experience with Windows operating system, network, and containers. Excellent verbal and written communication skills. Experience designing and deploying fault-tolerant, distributed, and highly available database infrastructure. Experience in database availability monitoring and status reporting using native monitoring tools. Well-versed in SQL Server backup, restore, and recovery strategies. Experience keeping a large environment compliant by deploying SQL Server patches and upgrades. Experience with disaster recovery planning and implementation. Carries out assignments with little coaching or guidance from others. Preferred Experience Experience operating within a database reliability engineering (DRE) and/or systems reliability engineering (SRE) role. Experience running, deploying, and maintaining production systems in Azure and Amazon Web Services. Experience with infrastructure as code (Terraform, CloudFormation). Experience building a proper path to production leveraging multiple lifecycles, testing, integration, and CI/CD pipelines. Experience with the configuration and implementation of SQL Server Always On availability groups. Experience with configuration management (Ansible, Chef). Comfortable collaborating with cross-functional teams providing guidance in SQL Server best practices. Experience with proactively identifying problems/areas of improvement and designing creative solutions to successfully remediate issues. The hiring range for this position in Bristol, CT is $141,900 to $190,300 and in New York is 148,700 to $199,400$ per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Disney Entertainment and ESPN Product & Technology
Glendale, California
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Disney, a global leader in entertainment, is seeking a talented and dedicated Senior Software Engineer to join our Payments team. This is a unique opportunity to be part of a team within the Commerce, Growth and Identity organization that manages the payment transactions of millions of customers across our celebrated platforms - Disney+, ESPN+, Hulu. What we're looking for We value engineers who demonstrate a strong sense of ownership, accountability, and initiative. Success in this role requires proactively identifying problems, driving solutions with minimal direction, collaborating effectively across teams, and taking responsibility for the long-term health and reliability of the systems you build and operate . Role Location: This is an on-site role requiring 4 days in-person at designated office locations. Responsibilities: Own the stability, scalability, and reliability of our multi-tenant payment platform supporting Disney+, ESPN+, and Hulu, proactively identifying and resolving issues before they impact customers. Demonstrate strong ownership by driving technical solutions from design through implementation and operation, collaborating across teams to evolve the architecture of Tier 1 payment services. Build deep expertise in Global Payments, taking initiative to understand international payment ecosystems and solve the unique challenges of serving a global streaming audience. Deliver at scale by designing, building, and operating high-throughput systems that process millions of payment transactions while maintaining performance, resilience, and operational excellence. Lead reliability and performance improvements for mission-critical payment services, including integrations with new payment processors and support for SCA and other regional payment requirements. Champion security best practices for payment data storage, tokenization, and PCI compliance, ensuring the platform meets the highest security standards. Maintain a high engineering bar by writing well-tested, maintainable code, actively participating in design discussions and code reviews, and continuously improving system quality. Take initiative to identify opportunities for innovation, operational improvements, automation, and technical debt reduction, helping shape the future of our payment platform. Operate with an ownership mindset, supporting critical production systems through on-call rotations, incident response, root cause analysis, and long-term corrective actions to improve service health. Basic Qualifications: Bachelor's degree in Computer Science , Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Minimum of 5 years of related work experience Proven hands-on experience with Scala, Java, or similar programming languages. Proven hands-on experience with API design, including REST and gRPC . Demonstrated analytical and strong system design skills. Hands-on experience with event-driven systems using technologies such as Kafka, RabbitMQ, or AWS SNS/SQS. Exposure to cloud infrastructure, such as AWS, Spinnaker, and Kubernetes Strong communicator and team player, able to adapt quickly and effectively in dynamic, fast-paced environments. A commitment to continuous learning, mentorship, and striving for excellence. Preferred Qualifications: Experience working in functional programming environments, especially with Scala and the Cats Effect ecosystem Experience managing Tier 1 production services, including participation in on-call rotations and incident response. Experience mentoring interns and junior engineers The hiring range for this position in New York, NY is $148,700 to $199,400 and in Los Angeles, CA is $141,900 to $190,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/07/2026
Full time
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Disney, a global leader in entertainment, is seeking a talented and dedicated Senior Software Engineer to join our Payments team. This is a unique opportunity to be part of a team within the Commerce, Growth and Identity organization that manages the payment transactions of millions of customers across our celebrated platforms - Disney+, ESPN+, Hulu. What we're looking for We value engineers who demonstrate a strong sense of ownership, accountability, and initiative. Success in this role requires proactively identifying problems, driving solutions with minimal direction, collaborating effectively across teams, and taking responsibility for the long-term health and reliability of the systems you build and operate . Role Location: This is an on-site role requiring 4 days in-person at designated office locations. Responsibilities: Own the stability, scalability, and reliability of our multi-tenant payment platform supporting Disney+, ESPN+, and Hulu, proactively identifying and resolving issues before they impact customers. Demonstrate strong ownership by driving technical solutions from design through implementation and operation, collaborating across teams to evolve the architecture of Tier 1 payment services. Build deep expertise in Global Payments, taking initiative to understand international payment ecosystems and solve the unique challenges of serving a global streaming audience. Deliver at scale by designing, building, and operating high-throughput systems that process millions of payment transactions while maintaining performance, resilience, and operational excellence. Lead reliability and performance improvements for mission-critical payment services, including integrations with new payment processors and support for SCA and other regional payment requirements. Champion security best practices for payment data storage, tokenization, and PCI compliance, ensuring the platform meets the highest security standards. Maintain a high engineering bar by writing well-tested, maintainable code, actively participating in design discussions and code reviews, and continuously improving system quality. Take initiative to identify opportunities for innovation, operational improvements, automation, and technical debt reduction, helping shape the future of our payment platform. Operate with an ownership mindset, supporting critical production systems through on-call rotations, incident response, root cause analysis, and long-term corrective actions to improve service health. Basic Qualifications: Bachelor's degree in Computer Science , Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Minimum of 5 years of related work experience Proven hands-on experience with Scala, Java, or similar programming languages. Proven hands-on experience with API design, including REST and gRPC . Demonstrated analytical and strong system design skills. Hands-on experience with event-driven systems using technologies such as Kafka, RabbitMQ, or AWS SNS/SQS. Exposure to cloud infrastructure, such as AWS, Spinnaker, and Kubernetes Strong communicator and team player, able to adapt quickly and effectively in dynamic, fast-paced environments. A commitment to continuous learning, mentorship, and striving for excellence. Preferred Qualifications: Experience working in functional programming environments, especially with Scala and the Cats Effect ecosystem Experience managing Tier 1 production services, including participation in on-call rotations and incident response. Experience mentoring interns and junior engineers The hiring range for this position in New York, NY is $148,700 to $199,400 and in Los Angeles, CA is $141,900 to $190,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Description: CarShield is seeking an experienced Database Administrator to join its growing database team. In this role, you'll be responsible for administering and optimizing our SQL Server environment, ensuring the availability, performance, security, and reliability of critical databases that support our business. You'll work closely with developers and IT teams to implement high-availability solutions, troubleshoot production issues, maintain backup and disaster recovery strategies, and continuously improve database performance and operational efficiency. Administer and monitor SQL Server instances across our on-premises environment Manage Always On Availability Groups, including failover, replica health, and AG job synchronization Own backup/restore strategies and DR testing to ensure RTO/RPO targets are met Performance-tune queries and workloads via execution plans, DMVs, wait stats, and indexing Manage SQL Server security - logins, roles, permissions auditing, and least-privilege enforcement Respond to production incidents, diagnose root causes, and implement durable fixes Collaborate with developers to review schema changes and query patterns before they hit production Monitor and maintain SQL Agent jobs, including Change Data Capture (CDC) Requirements: 5+ years of SQL Server DBA experience in a production environment Hands-on experience administering Always On Availability Groups Strong grasp of performance tuning - execution plans, index strategy, wait statistics Solid understanding of SQL Server security, auditing, and access control Experience with backup/restore, DR planning, and failover procedures Must be able to work on-site in St. Peters, MO 5 days/week Bachelor's in Computer Science, MIS, or equivalent experience Familiarity with Extended Events and Query Store preferred Exposure to Azure SQL or hybrid cloud environments preferred T/SQL Development when needed for project preferred Experience with data engineering and building data pipelines (ETL/ELT) preferred Pay Rate and Benefits Salary commensurate with experience Group Insurance (Medical, Dental, Vision, Life, etc.). 401k with Employer Match. Discounted CarShield policies. Discounted Tuition at Lindenwood University. Professional development opportunities. Basketball, and other recreation available on-site. Fitness facilities, with the option to take classes led by on-staff personal trainer (at St. Peters headquarters). And more! PIe91767eaaf37-3538
08/07/2026
Full time
Description: CarShield is seeking an experienced Database Administrator to join its growing database team. In this role, you'll be responsible for administering and optimizing our SQL Server environment, ensuring the availability, performance, security, and reliability of critical databases that support our business. You'll work closely with developers and IT teams to implement high-availability solutions, troubleshoot production issues, maintain backup and disaster recovery strategies, and continuously improve database performance and operational efficiency. Administer and monitor SQL Server instances across our on-premises environment Manage Always On Availability Groups, including failover, replica health, and AG job synchronization Own backup/restore strategies and DR testing to ensure RTO/RPO targets are met Performance-tune queries and workloads via execution plans, DMVs, wait stats, and indexing Manage SQL Server security - logins, roles, permissions auditing, and least-privilege enforcement Respond to production incidents, diagnose root causes, and implement durable fixes Collaborate with developers to review schema changes and query patterns before they hit production Monitor and maintain SQL Agent jobs, including Change Data Capture (CDC) Requirements: 5+ years of SQL Server DBA experience in a production environment Hands-on experience administering Always On Availability Groups Strong grasp of performance tuning - execution plans, index strategy, wait statistics Solid understanding of SQL Server security, auditing, and access control Experience with backup/restore, DR planning, and failover procedures Must be able to work on-site in St. Peters, MO 5 days/week Bachelor's in Computer Science, MIS, or equivalent experience Familiarity with Extended Events and Query Store preferred Exposure to Azure SQL or hybrid cloud environments preferred T/SQL Development when needed for project preferred Experience with data engineering and building data pipelines (ETL/ELT) preferred Pay Rate and Benefits Salary commensurate with experience Group Insurance (Medical, Dental, Vision, Life, etc.). 401k with Employer Match. Discounted CarShield policies. Discounted Tuition at Lindenwood University. Professional development opportunities. Basketball, and other recreation available on-site. Fitness facilities, with the option to take classes led by on-staff personal trainer (at St. Peters headquarters). And more! PIe91767eaaf37-3538
Disney Entertainment and ESPN Product & Technology
Santa Monica, California
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Disney, a global leader in entertainment, is seeking a talented and dedicated Senior Software Engineer to join our Payments team. This is a unique opportunity to be part of a team within the Commerce, Growth and Identity organization that manages the payment transactions of millions of customers across our celebrated platforms - Disney+, ESPN+, Hulu. What we're looking for We value engineers who demonstrate a strong sense of ownership, accountability, and initiative. Success in this role requires proactively identifying problems, driving solutions with minimal direction, collaborating effectively across teams, and taking responsibility for the long-term health and reliability of the systems you build and operate . Role Location: This is an on-site role requiring 4 days in-person at designated office locations. Responsibilities: Own the stability, scalability, and reliability of our multi-tenant payment platform supporting Disney+, ESPN+, and Hulu, proactively identifying and resolving issues before they impact customers. Demonstrate strong ownership by driving technical solutions from design through implementation and operation, collaborating across teams to evolve the architecture of Tier 1 payment services. Build deep expertise in Global Payments, taking initiative to understand international payment ecosystems and solve the unique challenges of serving a global streaming audience. Deliver at scale by designing, building, and operating high-throughput systems that process millions of payment transactions while maintaining performance, resilience, and operational excellence. Lead reliability and performance improvements for mission-critical payment services, including integrations with new payment processors and support for SCA and other regional payment requirements. Champion security best practices for payment data storage, tokenization, and PCI compliance, ensuring the platform meets the highest security standards. Maintain a high engineering bar by writing well-tested, maintainable code, actively participating in design discussions and code reviews, and continuously improving system quality. Take initiative to identify opportunities for innovation, operational improvements, automation, and technical debt reduction, helping shape the future of our payment platform. Operate with an ownership mindset, supporting critical production systems through on-call rotations, incident response, root cause analysis, and long-term corrective actions to improve service health. Basic Qualifications: Bachelor's degree in Computer Science , Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Minimum of 5 years of related work experience Proven hands-on experience with Scala, Java, or similar programming languages. Proven hands-on experience with API design, including REST and gRPC . Demonstrated analytical and strong system design skills. Hands-on experience with event-driven systems using technologies such as Kafka, RabbitMQ, or AWS SNS/SQS. Exposure to cloud infrastructure, such as AWS, Spinnaker, and Kubernetes Strong communicator and team player, able to adapt quickly and effectively in dynamic, fast-paced environments. A commitment to continuous learning, mentorship, and striving for excellence. Preferred Qualifications: Experience working in functional programming environments, especially with Scala and the Cats Effect ecosystem Experience managing Tier 1 production services, including participation in on-call rotations and incident response. Experience mentoring interns and junior engineers The hiring range for this position in New York, NY is $148,700 to $199,400 and in Los Angeles, CA is $141,900 to $190,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/07/2026
Full time
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Disney, a global leader in entertainment, is seeking a talented and dedicated Senior Software Engineer to join our Payments team. This is a unique opportunity to be part of a team within the Commerce, Growth and Identity organization that manages the payment transactions of millions of customers across our celebrated platforms - Disney+, ESPN+, Hulu. What we're looking for We value engineers who demonstrate a strong sense of ownership, accountability, and initiative. Success in this role requires proactively identifying problems, driving solutions with minimal direction, collaborating effectively across teams, and taking responsibility for the long-term health and reliability of the systems you build and operate . Role Location: This is an on-site role requiring 4 days in-person at designated office locations. Responsibilities: Own the stability, scalability, and reliability of our multi-tenant payment platform supporting Disney+, ESPN+, and Hulu, proactively identifying and resolving issues before they impact customers. Demonstrate strong ownership by driving technical solutions from design through implementation and operation, collaborating across teams to evolve the architecture of Tier 1 payment services. Build deep expertise in Global Payments, taking initiative to understand international payment ecosystems and solve the unique challenges of serving a global streaming audience. Deliver at scale by designing, building, and operating high-throughput systems that process millions of payment transactions while maintaining performance, resilience, and operational excellence. Lead reliability and performance improvements for mission-critical payment services, including integrations with new payment processors and support for SCA and other regional payment requirements. Champion security best practices for payment data storage, tokenization, and PCI compliance, ensuring the platform meets the highest security standards. Maintain a high engineering bar by writing well-tested, maintainable code, actively participating in design discussions and code reviews, and continuously improving system quality. Take initiative to identify opportunities for innovation, operational improvements, automation, and technical debt reduction, helping shape the future of our payment platform. Operate with an ownership mindset, supporting critical production systems through on-call rotations, incident response, root cause analysis, and long-term corrective actions to improve service health. Basic Qualifications: Bachelor's degree in Computer Science , Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Minimum of 5 years of related work experience Proven hands-on experience with Scala, Java, or similar programming languages. Proven hands-on experience with API design, including REST and gRPC . Demonstrated analytical and strong system design skills. Hands-on experience with event-driven systems using technologies such as Kafka, RabbitMQ, or AWS SNS/SQS. Exposure to cloud infrastructure, such as AWS, Spinnaker, and Kubernetes Strong communicator and team player, able to adapt quickly and effectively in dynamic, fast-paced environments. A commitment to continuous learning, mentorship, and striving for excellence. Preferred Qualifications: Experience working in functional programming environments, especially with Scala and the Cats Effect ecosystem Experience managing Tier 1 production services, including participation in on-call rotations and incident response. Experience mentoring interns and junior engineers The hiring range for this position in New York, NY is $148,700 to $199,400 and in Los Angeles, CA is $141,900 to $190,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. TheBoeing Company is seeking AssociateSystems Engineers to join one of our St. Louis, MO (Berkeley, Hazelwood, Saint Charles) based teams. Our St. Louis based teams are responsible for development, production, trainers, and sustainment for some of the most advanced defense and weapon systems in the world - including, but not limited to: Fighters/Tactical (F-47, F-15, F/A-18, F-22, & T-7A), Autonomous Systems (MQ-25), Precision Engagement Systems (JDAM, SDB, etc), and other advanced proprietary systems (Phantom Works) and platforms (AH-64, P-8, C-17, etc.). Our teams are currently hiring a broad range of Associate Systems Engineers in the following disciplines: Systems Architecture, Requirements and Interfaces Definition Systems Integration, Verification, & Validation Reliability, Maintainability, & System Health Human Factors & Ergonomics Operations / Systems Analysis Flight Crew Operations Integrations Crew Station Design & Integration Position Responsibilities: Contribute to systems engineering efforts on new development, production, and/or sustainment programs, ensuring alignment with program goals and objectives Work with teams across disciplines to write and keep system requirements, interfaces, verification, and test criteria up to date Perform analyses for affordability, safety, reliability, maintainability, testability, human factors, survivability, vulnerability, security, and product assurance Support program design reviews and technical assessments Track and update requirements, risks/issues/opportunities, tools, and technology readiness Help adopt and use modern systems engineering methods (for example, Model-Based Systems Engineering) This position is expected to be 100% onsite (no hybrid or remote options). The selected candidate will be required to work onsite at one of the listed location options. Travel may be required; Domestically and/or Internationally depending on business needs. This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required Special Program Access or other Government Access Requirements may be required for these positions Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 2 or more years' related engineering experience Preferred Qualifications (Desired Skills/Experience): Active U.S. Security Clearance Prior Systems Engineering experience (i.e. system design, functional decomposition, requirements development, analysis, verification, and validation) Experience with Aircraft, Mission Systems and/or Weapon System development Experience with verification and/or certification efforts (including supporting military safety critical and/or mission critical system hardware and software certification) Experience collaborating with multi-discipline teams to support technical program reviews Experience with Model Based Systems Engineering (MBSE) tools, such as Cameo, MSOSA or similar Systems Modeling Language (SysML)-compatible tool for systems architecture and model development Technical understanding and experience with any of the following: DOORS, Cadece/Pspice, Python, C#, C++, JavaScript, Visual Studio, Subversion, Azure DevOps, Git, CAFTA, ReliaSoft or FaultTree+ Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 2: $91,800 - $124,200 The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Applications for this position will be accepted until Aug. 17, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
08/06/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. TheBoeing Company is seeking AssociateSystems Engineers to join one of our St. Louis, MO (Berkeley, Hazelwood, Saint Charles) based teams. Our St. Louis based teams are responsible for development, production, trainers, and sustainment for some of the most advanced defense and weapon systems in the world - including, but not limited to: Fighters/Tactical (F-47, F-15, F/A-18, F-22, & T-7A), Autonomous Systems (MQ-25), Precision Engagement Systems (JDAM, SDB, etc), and other advanced proprietary systems (Phantom Works) and platforms (AH-64, P-8, C-17, etc.). Our teams are currently hiring a broad range of Associate Systems Engineers in the following disciplines: Systems Architecture, Requirements and Interfaces Definition Systems Integration, Verification, & Validation Reliability, Maintainability, & System Health Human Factors & Ergonomics Operations / Systems Analysis Flight Crew Operations Integrations Crew Station Design & Integration Position Responsibilities: Contribute to systems engineering efforts on new development, production, and/or sustainment programs, ensuring alignment with program goals and objectives Work with teams across disciplines to write and keep system requirements, interfaces, verification, and test criteria up to date Perform analyses for affordability, safety, reliability, maintainability, testability, human factors, survivability, vulnerability, security, and product assurance Support program design reviews and technical assessments Track and update requirements, risks/issues/opportunities, tools, and technology readiness Help adopt and use modern systems engineering methods (for example, Model-Based Systems Engineering) This position is expected to be 100% onsite (no hybrid or remote options). The selected candidate will be required to work onsite at one of the listed location options. Travel may be required; Domestically and/or Internationally depending on business needs. This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required Special Program Access or other Government Access Requirements may be required for these positions Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 2 or more years' related engineering experience Preferred Qualifications (Desired Skills/Experience): Active U.S. Security Clearance Prior Systems Engineering experience (i.e. system design, functional decomposition, requirements development, analysis, verification, and validation) Experience with Aircraft, Mission Systems and/or Weapon System development Experience with verification and/or certification efforts (including supporting military safety critical and/or mission critical system hardware and software certification) Experience collaborating with multi-discipline teams to support technical program reviews Experience with Model Based Systems Engineering (MBSE) tools, such as Cameo, MSOSA or similar Systems Modeling Language (SysML)-compatible tool for systems architecture and model development Technical understanding and experience with any of the following: DOORS, Cadece/Pspice, Python, C#, C++, JavaScript, Visual Studio, Subversion, Azure DevOps, Git, CAFTA, ReliaSoft or FaultTree+ Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 2: $91,800 - $124,200 The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Applications for this position will be accepted until Aug. 17, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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.
