Senior Staff Engineer
Experian · Hyderabad · onsite · Posted 33d ago
Undisclosed10–15 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Job Description
- 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 Qualifications
- 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
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
GithubSystem architectureHP data protectorrisk analyticsPerformance TestingOperational ExcellenceSpring BootInformation SecurityComputer ScienceSystem Design
About Experian
Experian
FinTech
201
employees
2006
20 years old
Hyderabad / Secunderabad, Telangana
India
About
Experian specializes in data analysis and processing, enabling individuals and businesses to harness information for better financial control and decision-making.
Industries
FinTechFinancial ServicesInternet
Employee ratings
177 reviews
3.8/ 5
Culture
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Career growth
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Work-life
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