01Overview
Lead Java Engineer (Architect) Java AI
Experience - 10+ years
Locaiton - Pune (hybrid)
About the Role :
We are seeking a Lead Software Engineer to design, build, and evolve high-throughput, low-latency, cloud-native platforms at Mastercard. This role requires deep hands-on engineering expertise, strong architectural judgment, and the ability to prototype, experiment, and productionize up-to-date solutions across AWS, Kubernetes (EKS), Java microservices, and Agentic AI.
You will operate as a technical owner, driving solution design end-to-end, mentoring engineers, and setting engineering standards while remaining deeply hands-on with code, infrastructure, and automation.
Key Responsibilities :
Architecture and Solution Design
- Lead the architecture and design of distributed, low-latency, high-throughput systems running on AWS and EKS.
- Design Java-based microservices platforms optimized for performance, scalability, resiliency, and operational excellence.
- Make architectural decisions and trade-offs across compute, networking, data, and observability layers while meeting defined SLAs and SLOs.
- Own non-functional requirements such as latency, throughput, availability, security, and cost efficiency.
Hands-on Engineering and Prototyping
- Develop production-grade Java applications using Spring Boot, gRPC, and REST APIs.
- Build proof-of-concepts, prototypes, and technology experiments to validate architectural decisions.
- Troubleshoot complex production issues across application, platform, and cloud environments.
- Lead by example through active coding, development, and technical problem-solving.
Cloud and Kubernetes (AWS / EKS)
- Design and implement cloud-native solutions on AWS, including EKS, EC2, ALB/NLB, IAM, VPC, and Auto Scaling services.
- Establish observability practices using logging, monitoring, metrics, and distributed tracing.
- Define and implement Kubernetes-native patterns such as Horizontal Pod Autoscaling (HPA), resilient pod design, mult .
