Live opening · Posted 29 days ago

Senior Staff Engineer

Experian · Hyderabad, , India

Smartrecruiters No Full-time

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At a glance

The key details from the original listing.

Posted 29 days ago

CompanyExperian

LocationHyderabad, , India

Job typeFull-time

Work modeNo

Source

Smartrecruiters

ListedPosted 29 days ago

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About the role

Description supplied by the original job listing.

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

Employment type
Full-time

Work arrangement
No

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