We are seeking a Lead Software Engineer to design, build, and evolve highthroughput, lowlatency, cloudnative platforms at Mastercard. This role requires deep hands-on engineering expertise, robust architectural judgment, and the ability to prototype, experiment, and productionize modern solutions across AWS, Kubernetes (EKS), Java microservices, and Agentic AI.

You will operate as a technical ownerdriving solution design endtoend, mentoring engineers, and setting engineering standards while remaining deeply hands-on with code, infrastructure, and automation.

Key Responsibilities

Architecture & Solution Design

Lead the architecture and solutioning of distributed, lowlatency, highTPS systems running on AWS and EKS.

Design microservices-based Java platforms optimized for performance, resiliency, scalability, and operability.

Make architectural tradeoffs across compute, networking, data, and observability layers with measurable SLAs/SLOs.

Own non-functional requirements (latency, throughput, availability, cost efficiency).

Hands-on Engineering & Prototyping

Write production-grade Java code (Spring Boot / gRPC / REST) and review critical paths.

Build POCs, prototypes, and experiments to validate architecture choices and emerging technologies.

Troubleshoot complex production issues across application, platform, and cloud layers.

Lead by example through hands-on development, not just design reviews.

Cloud & Kubernetes (AWS / EKS)

Design and implement workloads on AWS, including:

EKS, EC2, ALB/NLB, IAM, VPC, Auto Scaling

Observability (logs, metrics, tracing)

Define Kubernetes-native patterns (HPA, pod design, multi-AZ resilience, rollout strategies).

Drive secure, scalable, and cost-aware cloud architecture.

Agentic AI & GenAI Enablement

Design and build solutions leveraging Agentic AI and Generative AI patterns.

Apply tools such as GitHub Copilot and custom AI agents to:

Improve developer productivity





Assist with code generation, refactoring, reviews, and testing

Experiment with AI-driven workflows across SDLC (design build test deploy).

Ensure responsible, secure, and governed use of AI in engineering systems.

CI/CD & Engineering Excellence

Design and maintain CI/CD pipelines supporting:

Automated builds, testing, security scans, and deployments

Infrastructure-as-Code and environment automation

Establish and enforce engineering standards, best practices, and quality guardrails.

Perform deep code and design reviews; mentor engineers on performance and cloud-native design.

Required Qualifications

Core Technical Skills

10+ years of hands-on software engineering experience

Strong Java expertise with microservices architectures

Proven experience building high-throughput, low-latency systems

Extensive AWS experience, including multiple production deployments on EKS

Deep understanding of

Distributed systems

Concurrency, performance tuning, and scalability

Resiliency and fault tolerance

Cloud & Platform

Hands-on experience with Kubernetes (EKS) in production

Strong knowledge of AWS networking, security, and scaling patterns

Experience designing cloud-native, event-driven or service-based platforms

AI & Modern Engineering

Experience using Generative AI / Agentic AI in engineering workflows

Hands-on usage of GitHub Copilot or similar AI-assisted development tools

Experience integrating AI into developer tooling or platforms (preferred)

Engineering Leadership

Demonstrated ability to own architecture and execution

Experience mentoring engineers and influencing technical direction

Strong communication skills—able to explain complex technical decisions clearly

Preferred Qualifications

Experience in payments, fintech, or high-volume transaction systems gRPC, async messaging, or streaming platforms experience

Observability and SRE-style practices

Experience modernizing legacy platforms to cloud-native architectures

📌 Java + AI (Pune)
🏢 ION Enterprise Solutions
📍 Pune