Lead Software Engineer

## Lead Software Engineer Apply locations:
Arlington, Virginia time type:
Full time posted on:
Posted 23 Days Agojob requisition :
R-276834
** 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 Software Engineer### Overview:
The Accelerators group under the Business & Market Insights - Platform Engineering program at Mastercard is seeking a Lead Software Engineer to drive high-impact technical initiatives that accelerate delivery, improve platform scalability, and enable innovation across the organization.
The Accelerators group is leading from the front in making meaningful contributions that allow the B&MI organization to go “faster.” This team is intentionally agile and flexible, not defined by a single technology stack, domain, or rigid process. Instead, it is composed of self-starters and self-unblockers who focus on delivering outcomes while continuously improving how those outcomes shape the next phase of platform evolution.
If you're seeking an opportunity to impact a business unit across platform engineering, Dev Ops, software engineering, and process transformation—while also mentoring and growing others—this position is for you.
This is a hybrid role based in Arlington, VA, requiring three days per week onsite.
Role:

• Make foundational changes to the CI/CD pipelines and practices at Mastercard to improve reliability, address common use cases, and deliver market facing solutions faster  
• Develop reusable engineering patterns, frameworks, and tools that improve developer experience and accelerate delivery across teams.

• Drive modernization and optimization of SDLC/PDLC practices through intentional AI adoption and AI-first engineering initiatives.

• Identify and implement process improvements that increase engineering velocity, quality, and operational efficiency.

• Mentor and guide engineers across Mastercard’s engineering community, promoting best practices and technical excellence.

• Collaborate across platform, product, and engineering teams to align technical solutions with business objectives.

• Contribute to architectural decisions that enable scalability, resilience, and long-term platform evolution.

• Support Dev Ops and platform engineering initiatives to improve system reliability, automation, and deployment efficiency.
All

About You:

• Extensive experience as a Software Engineer, Full-Stack Engineer, or Platform Engineer in fast-paced, collaborative environments.

• Strong full-stack development experience across modern stacks (e.g., .NET, Java, React, JavaScript, SQL Server, PostgreSQL, or similar technologies)   
• Proven experience designing and building scalable backend services, APIs, and distributed systems.

• Strong experience in cloud environments (AWS and/or Azure), with hands-on experience building and deploying cloud-native applications.

• Deep Dev Ops and platform engineering experience, including CI/CD pipelines (e.g., Jenkins, Git Hub Actions) and deployment automation.

• Experience with API management, gateway technologies, secrets management, and infrastructure tooling.

• Strong understanding of Product Development Life Cycle (PDLC) and ability to improve engineering workflows end-to-end.

• Experience working with large-scale data systems, including ETL pipelines and high-volume data processing environments.

• Demonstrated ability to identify and implement engineering efficiency improvements across teams or platforms.

• Strong interest in AI-enabled engineering, including workflow automation, developer productivity, and SDLC augmentation.

• Experience working in Agile environments with cross-functional teams and iterative delivery models.

• Proven ability to lead technical initiatives, manage complex…