Lead, Software Engineer (Agentic workflows/APIs)

Mastercard is seeking a highly skilled and passionate Tech Lead to drive the next generation of platform modernization, API transformation, cloud-native engineering, agentic workflow solutions, and AI-enabled product capabilities.

The ideal candidate is a hands-on technical leader who can architect and deliver scalable enterprise systems while mentoring engineering teams, influencing technical strategy, and driving innovation across multiple initiatives.

Role & Responsibilities

Technical Leadership

• Lead end-to-end delivery of complex engineering initiatives.
• Define technical architecture, engineering patterns, solution roadmaps, and development standards.
• Drive technical design reviews, architecture discussions, and engineering best practices.
• Guide teams in building scalable, secure, resilient, and maintainable platforms.
• Evaluate emerging technologies and recommend strategic adoption opportunities.
• Influence technical roadmaps and long-term platform strategy.

Software Engineering

• Design and develop enterprise-grade backend services, APIs, and distributed systems using Java and Spring Boot.
• Build scalable, high-availability microservices and cloud-native applications.
• Design and implement secure, high-performance RESTful APIs and integrations.
• Ensure software quality through code reviews, automated testing, and engineering governance.
• Drive modernization, automation, and platform engineering initiatives.

Agentic Workflows & AI Enablement

• Design and implement agent-driven workflows and intelligent automation solutions.
• Integrate AI powered capabilities into engineering and operational processes.
• Collaborate with business and engineering stakeholders to identify AI-enabled use cases.
• Establish best practices for responsible AI adoption within software delivery lifecycles.
• Drive adoption of AI-assisted development practices to improve engineering productivity and quality.

Cloud, Platform & Data Engineering

• Design, develop, and deploy solutions on AWS.
• Build reusable frameworks, platforms, and engineering accelerators.
• Enable Infrastructure as Code (IaC) and automation-first engineering practices.
• Design and support scalable ETL, analytics, and data processing solutions.
• Build event-driven and data-intensive applications using modern architecture patterns.
• Partner with DevOps teams to improve deployment reliability, scalability, and operational maturity.

Operational Excellence

• Champion observability, monitoring, alerting, reliability, and performance engineering practices.
• Lead incident management, troubleshooting, and root-cause analysis activities.
• Drive continuous improvement initiatives focused on availability, performance, resiliency, and security.
• Ensure compliance with Mastercard engineering, risk, and security standards.

Team Leadership

• Mentor and coach software engineers and senior engineers.
• Support hiring, onboarding, and technical skill development.
• Foster a culture of accountability, innovation, ownership, and continuous learning.
• Collaborate effectively across Product, Architecture, Security, Operations, and Engineering teams.
• Develop future technical leaders and promote engineering excellence.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
• 8+ years of software engineering experience.
• Proven track record delivering enterprise-scale software solutions.
• Experience leading cross-functional engineering initiatives.
• Experience building cloud-native and distributed systems at scale.
• Strong experience mentoring engineers and driving engineering excellence.

Technical Skills

• Java (8+), Python
• Spring Boot, Spring Cloud, Microservices, REST APIs, OpenAPI/Swagger, API Lifecycle Management, Distributed Systems
• System Design, Object-Oriented Design, Design Patterns, Domain Driven Design (DDD), Event-Driven Architecture, CQRS, Event Sourcing, Hexagonal/Clean Architecture
• AWS EC2, ECS, EKS, Lambda, S3, API Gateway, IAM, SNS, SQS, RDS
• Oracle, PostgreSQL, MongoDB, NoSQL Databases
• Kafka, Axon Framework, Event Streaming Platforms
• Git, GitHub, Jenkins, Maven, Gradle, CI/CD Pipelines, Infrastructure as Code (IaC), Platform Engineering
• Splunk, Dynatrace, OpenTelemetry, Distributed Tracing, Application Monitoring, Logging & Alerting
• OAuth2, JWT, Secure API Development, Secure SDLC, Authentication & Authorization, Encryption Standards, Secure Coding Practices
• GitHub Copilot, Microsoft Copilot, Agentic Engineering Practices