The Walt Disney Company (Corporate)
Burbank, California
Department Description: At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. Team Description: Disney's Applied AI Acceleration team embeds directly with our businesses to turn AI possibilities into shipped solutions. We prototype fast, solve real problems, and build the internal capability that makes it stick. If you want to build things that actually change how Disney operates, this is your team. What You'll Do: We are hiring a Manager, Applied AI to join our Team! This role will be on-site at least 4 days per week for teamwork and collaboration! This role will be responsible for building a team of AI-native builders: engineers who treat Claude, Cursor, and whatever comes next as native collaborators; run a squad of 2-4 team members inside Disney's Applied AI Acceleration practice, taking ambiguous problems from our business partners and shipping AI-powered products that move the needle. What matters most is that you speak and think in user problems and AI solutions. This isn't about building fast for its own sake. It's about knowing you're building the right thing for the user. The person across the table, not the ticket in the backlog. Engineers who know product are great. Product ninjas who know how to build are great. What we care about is that you deliver value to the business teams who need it most. The ones inside Disney who have had "we should use AI for this" on a roadmap for two years and don't know where to start. You're insatiably curious, high-collaboration. You're constantly building at the frontier, whether or not anyone's asked you to. And you lead by doing. This is a player-coach role; you'll be in the codebase with your team, shipping alongside them. Responsibilities: End-to-end delivery of 2-4 concurrent AI engagements with different Cadence - some get scoped and shipped in days; others take weeks. Stand up a squad of 2-4 builders - Applied AI Engineers, a Squad Anchor or partnership with the Principal Applied AI Engineer, occasional Data Engineer or TPM pairing. Review PRs in codebase, pairing on hard problems, picking up Cursor and working through the stuck parts. The opening of every engagement: finding the real problem underneath the stated one, proving feasibility fast, and deciding what's worth shipping. Stakeholder relationships across all levels of the organization - You translate between business outcomes and technical tradeoffs without losing nuance in either direction. Pattern extraction. Every engagement yields at least one reusable component, playbook, or template that the practice can deploy on the next one. Required Qualifications & Skills: Minimum 8+ years of relevant experience Minimum 2+ years' experience in a leadership-adjacent role: Engineering Manager, Technical Lead, Consulting Engagement Lead, Solutions Engineering lead, or equivalent Experience with delivery of AI-powered products end-to-end. LLMs, agents, embeddings, classical ML Working fluency with the modern AI application stack - in production: prompt design, RAG, tool-calling agents, eval harnesses Data literacy. SQL, APIs, basic transformations. Enough to unblock yourself when an engagement stalls on a data question instead of waiting for the Data Engineer Experience leading people - Direct reports, tech leads and/or engagement teams Preferred Qualifications: Experience building AI products without a dedicated engineering team backing you (ex. Startup Founder, Solutions Engineer, "Solo-PM-who-ships" or any other environments where the gap between idea and production was yours to close Prior experience with enterprise-scale data and legacy systems Experience with golden datasets, trace analysis, LLM-as-judge Education: Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience . The hiring range for this position in Burbank, CA is $171,600 - $230,100 per year and in Seattle, WA is $179,700 - $241,000. 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.
08/23/2026
Full time
Department Description: At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. Team Description: Disney's Applied AI Acceleration team embeds directly with our businesses to turn AI possibilities into shipped solutions. We prototype fast, solve real problems, and build the internal capability that makes it stick. If you want to build things that actually change how Disney operates, this is your team. What You'll Do: We are hiring a Manager, Applied AI to join our Team! This role will be on-site at least 4 days per week for teamwork and collaboration! This role will be responsible for building a team of AI-native builders: engineers who treat Claude, Cursor, and whatever comes next as native collaborators; run a squad of 2-4 team members inside Disney's Applied AI Acceleration practice, taking ambiguous problems from our business partners and shipping AI-powered products that move the needle. What matters most is that you speak and think in user problems and AI solutions. This isn't about building fast for its own sake. It's about knowing you're building the right thing for the user. The person across the table, not the ticket in the backlog. Engineers who know product are great. Product ninjas who know how to build are great. What we care about is that you deliver value to the business teams who need it most. The ones inside Disney who have had "we should use AI for this" on a roadmap for two years and don't know where to start. You're insatiably curious, high-collaboration. You're constantly building at the frontier, whether or not anyone's asked you to. And you lead by doing. This is a player-coach role; you'll be in the codebase with your team, shipping alongside them. Responsibilities: End-to-end delivery of 2-4 concurrent AI engagements with different Cadence - some get scoped and shipped in days; others take weeks. Stand up a squad of 2-4 builders - Applied AI Engineers, a Squad Anchor or partnership with the Principal Applied AI Engineer, occasional Data Engineer or TPM pairing. Review PRs in codebase, pairing on hard problems, picking up Cursor and working through the stuck parts. The opening of every engagement: finding the real problem underneath the stated one, proving feasibility fast, and deciding what's worth shipping. Stakeholder relationships across all levels of the organization - You translate between business outcomes and technical tradeoffs without losing nuance in either direction. Pattern extraction. Every engagement yields at least one reusable component, playbook, or template that the practice can deploy on the next one. Required Qualifications & Skills: Minimum 8+ years of relevant experience Minimum 2+ years' experience in a leadership-adjacent role: Engineering Manager, Technical Lead, Consulting Engagement Lead, Solutions Engineering lead, or equivalent Experience with delivery of AI-powered products end-to-end. LLMs, agents, embeddings, classical ML Working fluency with the modern AI application stack - in production: prompt design, RAG, tool-calling agents, eval harnesses Data literacy. SQL, APIs, basic transformations. Enough to unblock yourself when an engagement stalls on a data question instead of waiting for the Data Engineer Experience leading people - Direct reports, tech leads and/or engagement teams Preferred Qualifications: Experience building AI products without a dedicated engineering team backing you (ex. Startup Founder, Solutions Engineer, "Solo-PM-who-ships" or any other environments where the gap between idea and production was yours to close Prior experience with enterprise-scale data and legacy systems Experience with golden datasets, trace analysis, LLM-as-judge Education: Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience . The hiring range for this position in Burbank, CA is $171,600 - $230,100 per year and in Seattle, WA is $179,700 - $241,000. 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.
The Walt Disney Company (Corporate)
Seattle, Washington
Department Description: At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. Team Description: Disney's Applied AI Acceleration team embeds directly with our businesses to turn AI possibilities into shipped solutions. We prototype fast, solve real problems, and build the internal capability that makes it stick. If you want to build things that actually change how Disney operates, this is your team. What You'll Do: We are hiring a Manager, Applied AI to join our Team! This role will be on-site at least 4 days per week for teamwork and collaboration! This role will be responsible for building a team of AI-native builders: engineers who treat Claude, Cursor, and whatever comes next as native collaborators; run a squad of 2-4 team members inside Disney's Applied AI Acceleration practice, taking ambiguous problems from our business partners and shipping AI-powered products that move the needle. What matters most is that you speak and think in user problems and AI solutions. This isn't about building fast for its own sake. It's about knowing you're building the right thing for the user. The person across the table, not the ticket in the backlog. Engineers who know product are great. Product ninjas who know how to build are great. What we care about is that you deliver value to the business teams who need it most. The ones inside Disney who have had "we should use AI for this" on a roadmap for two years and don't know where to start. You're insatiably curious, high-collaboration. You're constantly building at the frontier, whether or not anyone's asked you to. And you lead by doing. This is a player-coach role; you'll be in the codebase with your team, shipping alongside them. Responsibilities: End-to-end delivery of 2-4 concurrent AI engagements with different Cadence - some get scoped and shipped in days; others take weeks. Stand up a squad of 2-4 builders - Applied AI Engineers, a Squad Anchor or partnership with the Principal Applied AI Engineer, occasional Data Engineer or TPM pairing. Review PRs in codebase, pairing on hard problems, picking up Cursor and working through the stuck parts. The opening of every engagement: finding the real problem underneath the stated one, proving feasibility fast, and deciding what's worth shipping. Stakeholder relationships across all levels of the organization - You translate between business outcomes and technical tradeoffs without losing nuance in either direction. Pattern extraction. Every engagement yields at least one reusable component, playbook, or template that the practice can deploy on the next one. Required Qualifications & Skills: Minimum 8+ years of relevant experience Minimum 2+ years' experience in a leadership-adjacent role: Engineering Manager, Technical Lead, Consulting Engagement Lead, Solutions Engineering lead, or equivalent Experience with delivery of AI-powered products end-to-end. LLMs, agents, embeddings, classical ML Working fluency with the modern AI application stack - in production: prompt design, RAG, tool-calling agents, eval harnesses Data literacy. SQL, APIs, basic transformations. Enough to unblock yourself when an engagement stalls on a data question instead of waiting for the Data Engineer Experience leading people - Direct reports, tech leads and/or engagement teams Preferred Qualifications: Experience building AI products without a dedicated engineering team backing you (ex. Startup Founder, Solutions Engineer, "Solo-PM-who-ships" or any other environments where the gap between idea and production was yours to close Prior experience with enterprise-scale data and legacy systems Experience with golden datasets, trace analysis, LLM-as-judge Education: Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience . The hiring range for this position in Burbank, CA is $171,600 - $230,100 per year and in Seattle, WA is $179,700 - $241,000. 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.
08/23/2026
Full time
Department Description: At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. Team Description: Disney's Applied AI Acceleration team embeds directly with our businesses to turn AI possibilities into shipped solutions. We prototype fast, solve real problems, and build the internal capability that makes it stick. If you want to build things that actually change how Disney operates, this is your team. What You'll Do: We are hiring a Manager, Applied AI to join our Team! This role will be on-site at least 4 days per week for teamwork and collaboration! This role will be responsible for building a team of AI-native builders: engineers who treat Claude, Cursor, and whatever comes next as native collaborators; run a squad of 2-4 team members inside Disney's Applied AI Acceleration practice, taking ambiguous problems from our business partners and shipping AI-powered products that move the needle. What matters most is that you speak and think in user problems and AI solutions. This isn't about building fast for its own sake. It's about knowing you're building the right thing for the user. The person across the table, not the ticket in the backlog. Engineers who know product are great. Product ninjas who know how to build are great. What we care about is that you deliver value to the business teams who need it most. The ones inside Disney who have had "we should use AI for this" on a roadmap for two years and don't know where to start. You're insatiably curious, high-collaboration. You're constantly building at the frontier, whether or not anyone's asked you to. And you lead by doing. This is a player-coach role; you'll be in the codebase with your team, shipping alongside them. Responsibilities: End-to-end delivery of 2-4 concurrent AI engagements with different Cadence - some get scoped and shipped in days; others take weeks. Stand up a squad of 2-4 builders - Applied AI Engineers, a Squad Anchor or partnership with the Principal Applied AI Engineer, occasional Data Engineer or TPM pairing. Review PRs in codebase, pairing on hard problems, picking up Cursor and working through the stuck parts. The opening of every engagement: finding the real problem underneath the stated one, proving feasibility fast, and deciding what's worth shipping. Stakeholder relationships across all levels of the organization - You translate between business outcomes and technical tradeoffs without losing nuance in either direction. Pattern extraction. Every engagement yields at least one reusable component, playbook, or template that the practice can deploy on the next one. Required Qualifications & Skills: Minimum 8+ years of relevant experience Minimum 2+ years' experience in a leadership-adjacent role: Engineering Manager, Technical Lead, Consulting Engagement Lead, Solutions Engineering lead, or equivalent Experience with delivery of AI-powered products end-to-end. LLMs, agents, embeddings, classical ML Working fluency with the modern AI application stack - in production: prompt design, RAG, tool-calling agents, eval harnesses Data literacy. SQL, APIs, basic transformations. Enough to unblock yourself when an engagement stalls on a data question instead of waiting for the Data Engineer Experience leading people - Direct reports, tech leads and/or engagement teams Preferred Qualifications: Experience building AI products without a dedicated engineering team backing you (ex. Startup Founder, Solutions Engineer, "Solo-PM-who-ships" or any other environments where the gap between idea and production was yours to close Prior experience with enterprise-scale data and legacy systems Experience with golden datasets, trace analysis, LLM-as-judge Education: Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience . The hiring range for this position in Burbank, CA is $171,600 - $230,100 per year and in Seattle, WA is $179,700 - $241,000. 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 Hireable W2 without sponsorship only No C2C Description As a Data Engineer, you'll partner closely with our Principal Data Engineers to keep pipelines healthy, resolve bugs, and deliver well-modeled, trusted data for reporting and analytics. You'll spend most of your time writing SQL and Python, designing and optimizing database models, and helping ship projects that power dashboards, self-service analytics, and data science. Experience with Databricks is a strong plus Skills Python, Sql, Data, Azure, Data warehouse, devops, git Additional Skills & Qualifications Operational mindset with strong debugging and root-cause analysis skills. Clear, concise communicator who can translate business needs into technical tasks. Collaborative, service-oriented teammate; comfortable pairing with Principal Engineers and supporting analysts. Organized and detail-driven with solid documentation habits. Familiarity with Agile/Scrum and the software development lifecycle. Required: Strong SQL (advanced joins, window functions, CTEs, and performance tuning); Python for data processing (pandas or PySpark) and automation Hands-on database/data warehouse modeling (dimensional and normalized). Databricks (Spark, Delta Lake, Unity Catalog) Preferred/Plus: Cloud data platforms (e.g., Databricks, Snowflake, BigQuery, Redshift) Job orchestration tools (e.g., Airflow, ADF, Prefect, Dagster); Data quality frameworks and observability tooling; familiarity with BI ecosystems (Power BI, Sigma). Experience Level Intermediate Level Job Type & Location This is a Contract to Hire position based out of Coppell, TX. Pay and Benefits The pay range for this position is $50.00 - $80.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Coppell,TX. Application Deadline This position is anticipated to close on Aug 21, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
08/22/2026
Full time
Job Description Hireable W2 without sponsorship only No C2C Description As a Data Engineer, you'll partner closely with our Principal Data Engineers to keep pipelines healthy, resolve bugs, and deliver well-modeled, trusted data for reporting and analytics. You'll spend most of your time writing SQL and Python, designing and optimizing database models, and helping ship projects that power dashboards, self-service analytics, and data science. Experience with Databricks is a strong plus Skills Python, Sql, Data, Azure, Data warehouse, devops, git Additional Skills & Qualifications Operational mindset with strong debugging and root-cause analysis skills. Clear, concise communicator who can translate business needs into technical tasks. Collaborative, service-oriented teammate; comfortable pairing with Principal Engineers and supporting analysts. Organized and detail-driven with solid documentation habits. Familiarity with Agile/Scrum and the software development lifecycle. Required: Strong SQL (advanced joins, window functions, CTEs, and performance tuning); Python for data processing (pandas or PySpark) and automation Hands-on database/data warehouse modeling (dimensional and normalized). Databricks (Spark, Delta Lake, Unity Catalog) Preferred/Plus: Cloud data platforms (e.g., Databricks, Snowflake, BigQuery, Redshift) Job orchestration tools (e.g., Airflow, ADF, Prefect, Dagster); Data quality frameworks and observability tooling; familiarity with BI ecosystems (Power BI, Sigma). Experience Level Intermediate Level Job Type & Location This is a Contract to Hire position based out of Coppell, TX. Pay and Benefits The pay range for this position is $50.00 - $80.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Coppell,TX. Application Deadline This position is anticipated to close on Aug 21, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Site Reliability Engineer-2 Overview: Who is Mastercard?At Mastercard technology, we work to connect and power an inclusive, digital economy that benefits everyone, everywhere, by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation, and delivers better business results.Technology at MastercardWhat we create today will define tomorrow. Revolutionary technologies that reshape the digital economy to be more connected and inclusive than ever before. Safer, faster, more sustainable. And we need the best people to do it. Technologists who are energized by the challenges of a truly global network. With the talent and vision to create the critical systems and products that power global commerce and connect people everywhere to the vital goods and services they need every day.Working at Mastercard means being part of a unique culture. Inclusive and diverse, a rich collaboration of ideas and perspectives. A place that celebrates your strengths, values your experiences, and offers you the flexibility to shape a career across disciplines and continents. And the opportunity to work alongside experts and leaders at every level of the business, improving what exists, and inventing what's next. Role: The Business Operations (Biz Ops) team is seeking a Business Operations Site Reliability Engineer (SRE)The role of Business Operations Organization is to be the production readiness steward for Mastercard products. As a Business Operations SRE, we are responsible for ensuring that our platform is stable and healthy. We break down barriers to run our products by fostering developer run ownership and empowering developers to build resilient products. We support our developers during the application build phase in software run principals that includes operational design, automation, capacity planning, monitoring that leads to fault-tolerant, scalable products. We see the big picture and help create and enforce operations standards while facilitating an agile and learning culture. We are seeking a highly motivated and experienced Lead Site Reliability Engineer (SRE) to join our growing team. You will play a critical role in ensuring the reliability, scalability, and performance of our Java, Spring Framework applications, supporting essential services that power Mastercard's global operations. As a leader thought leader in your field, you will bring technical expertise, a passion for automation, and the ability to mentor and guide less experienced junior engineers. We support daily operations with a hyper focus on triage, root cause by understanding the business impact of our products and subsequently performing blameless post-mortems. The goal of every Business Operations team is to engage early in the development lifecycle to be more proactive and upfront in the development process, and to proactively manage production and change activities to maximize customer experience and increase the overall value of supported applications. Business Operations teams also focus on risk management by tying all our activities together with an overarching responsibility for compliance and risk mitigation across all our environments. Ultimately, the role of Business Operations is to align Product and Customer Focused priorities with Operational needs by providing continuous feedback throughout the lifecycle. All about you-Team Specific Skills: Biz Ops engineers engage in various roles:- Operational Readiness Architect: Ensure application health, performance, and capacity; support pre-launch activities.- Site Reliability Engineering: Design resilient infrastructure, perform root cause analysis, and automate alerts.- DevOps/Automation: Improve service lifecycle, support CI/CD pipelines, and reduce manual intervention.- ITSM Practices: Analyze platform activities and provide feedback to development teams.Role qualifications:Ideal candidates have:- BS in Computer Science or related field.- Proficiency in Java, Spring Framework, Python, or Go.- Strong DevOps and configuration management skills.- Experience with distributed systems and automation.- Problem-solving, communication, and leadership abilities.- Passion for observability and continuous improvement.- Willingness to learn and collaborate across teams. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $122,000 - $207,000 USD
08/16/2026
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Site Reliability Engineer-2 Overview: Who is Mastercard?At Mastercard technology, we work to connect and power an inclusive, digital economy that benefits everyone, everywhere, by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation, and delivers better business results.Technology at MastercardWhat we create today will define tomorrow. Revolutionary technologies that reshape the digital economy to be more connected and inclusive than ever before. Safer, faster, more sustainable. And we need the best people to do it. Technologists who are energized by the challenges of a truly global network. With the talent and vision to create the critical systems and products that power global commerce and connect people everywhere to the vital goods and services they need every day.Working at Mastercard means being part of a unique culture. Inclusive and diverse, a rich collaboration of ideas and perspectives. A place that celebrates your strengths, values your experiences, and offers you the flexibility to shape a career across disciplines and continents. And the opportunity to work alongside experts and leaders at every level of the business, improving what exists, and inventing what's next. Role: The Business Operations (Biz Ops) team is seeking a Business Operations Site Reliability Engineer (SRE)The role of Business Operations Organization is to be the production readiness steward for Mastercard products. As a Business Operations SRE, we are responsible for ensuring that our platform is stable and healthy. We break down barriers to run our products by fostering developer run ownership and empowering developers to build resilient products. We support our developers during the application build phase in software run principals that includes operational design, automation, capacity planning, monitoring that leads to fault-tolerant, scalable products. We see the big picture and help create and enforce operations standards while facilitating an agile and learning culture. We are seeking a highly motivated and experienced Lead Site Reliability Engineer (SRE) to join our growing team. You will play a critical role in ensuring the reliability, scalability, and performance of our Java, Spring Framework applications, supporting essential services that power Mastercard's global operations. As a leader thought leader in your field, you will bring technical expertise, a passion for automation, and the ability to mentor and guide less experienced junior engineers. We support daily operations with a hyper focus on triage, root cause by understanding the business impact of our products and subsequently performing blameless post-mortems. The goal of every Business Operations team is to engage early in the development lifecycle to be more proactive and upfront in the development process, and to proactively manage production and change activities to maximize customer experience and increase the overall value of supported applications. Business Operations teams also focus on risk management by tying all our activities together with an overarching responsibility for compliance and risk mitigation across all our environments. Ultimately, the role of Business Operations is to align Product and Customer Focused priorities with Operational needs by providing continuous feedback throughout the lifecycle. All about you-Team Specific Skills: Biz Ops engineers engage in various roles:- Operational Readiness Architect: Ensure application health, performance, and capacity; support pre-launch activities.- Site Reliability Engineering: Design resilient infrastructure, perform root cause analysis, and automate alerts.- DevOps/Automation: Improve service lifecycle, support CI/CD pipelines, and reduce manual intervention.- ITSM Practices: Analyze platform activities and provide feedback to development teams.Role qualifications:Ideal candidates have:- BS in Computer Science or related field.- Proficiency in Java, Spring Framework, Python, or Go.- Strong DevOps and configuration management skills.- Experience with distributed systems and automation.- Problem-solving, communication, and leadership abilities.- Passion for observability and continuous improvement.- Willingness to learn and collaborate across teams. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $122,000 - $207,000 USD