Lead, Software Engineer (Agentic workflows/APIs)
Salary not listed • Pune, India • Full-time
Posted 1d ago
Job Location
Pune, India
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Agent Engineer
About the job
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. This role requires deep expertise in distributed systems, APIs, cloud technologies, AI-powered engineering, data platforms, and software delivery at scale. The successful candidate will play a critical role in shaping the future of Mastercard's intelligent platforms by combining strong technical leadership with exceptional execution capabilities.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Requirements
- 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.
- Strong object-oriented design and architecture skills.
- Expertise in scalable system design and distributed architecture.