Senior Staff Engineer

Architecture & System Design: Own technical strategy and system architecture for enterprise-grade, high-availability microservices and data pipelines supporting financial, analytics, and fraud platforms. Hands-on Development: Actively build, optimize, and maintain server-side applications using Java (Spring Boot, Spring Cloud, Reactor-Core), REST/Async APIs, and messaging systems (Kafka, SQS, NATS). Cloud Platform Operations: Architect and deploy workloads on AWS leveraging Kubernetes (EKS), Lambda, Fargate, S3, Aurora, and DynamoDB while optimizing cost and operational efficiency. Technical Leadership & Mentorship: Guide, mentor, and perform code/architecture reviews across multiple engineering teams. Security & Compliance: Ensure software designs rigorously adhere to information security standards, PII data protection, and regulatory compliance protocols. CI/CD & Operational Excellence: Establish robust continuous integration/continuous deployment pipelines (AWS CodePipeline, Harness, Jenkins, GitHub Actions) and enforce high standards for system observability, logging, and performance testing. You will report to the Engineering Manager This role requires you to WFO 2 days a week as its Hybrid Education: B.Tech / B.S. / M.S. / MCA in Computer Science, Software Engineering, or related fields. 10+ years of professional software engineering experience building scalable, distributed cloud systems, with at least 2+ years leading engineering teams or complex plans. Required to have hands on in Java (17+), Spring Boot, Spring Cloud, Reactive Programming (Reactor-Core / WebFlux)Cloud Infrastructure (AWS)AWS EKS / Kubernetes, Lambda, ECS / Fargate, S3, IAM, CloudWatch, API Gateway Proven experience managing PII, high-frequency transactions, credit/financial data pipelines, or security-sensitive microservices. Integration experience with Generative AI / LLMs via Amazon Bedrock or custom model pipelines. Exposure to multi-language backends (e.g., Go / GoLang alongside Java) Knowledge of FinTech, identity fraud detection, real-time payment networks, or credit risk analytics