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Tier-1 bank brand, metro Hyderabad location, and broad backend-cloud skillset moderate applicant competition.
Strong backend, cloud, and data engineering skills are transferable across industries, reducing background sensitivity.
Explicit 16-20 years and mandatory Java/GCP/microservices/Kubernetes make filtering highly strict.
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Design and build cloud-native, data-driven backend services and microservices using Java (Spring Boot) and Python for Markets Surveillance platforms.
Develop scalable data pipelines and data products leveraging GCP, BigQuery, and real-time/batch large-scale data processing for regulatory and market monitoring.
Lead technical design and architectural decisions, mentor engineers, and ensure solutions are secure, resilient, production-ready, and delivered with modern CI/CD and automation practices.
16-20 years of work experience.
Proficiency in Java (Spring Boot) and Python for enterprise backend development.
Hands-on expertise with GCP, BigQuery, Docker, Kubernetes, and microservice architectures.
Experience with Agile methodologies and delivering complex systems in hybrid work mode based in Hyderabad.
Experienced technical leader comfortable driving architectural decisions and mentoring engineers in a fast-paced, agile environment.
Strong background in building and supporting data products and analytics platforms using cloud-native technologies, especially in GCP.
Familiarity with Markets, Surveillance, or regulatory platforms and modern frontend frameworks (React or Angular) is highly advantageous.