Lead SDE

Architecture & Solution Design

Lead the architecture and solutioning of distributed, low‑latency, high‑TPS 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.

 

Work Experience

10+ years of hands-on software engineering experience
Strong Java expertise with micro-services 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