Java Developer → Techno-Functional Lead · still writes the services · Forward Deployment
divakarinterview@gmail.com · 9742956660 · Oracle Java Certified Associate · B.E. Computer Science, Rajasthan University · 12+ years · India · UK · Dubai · Germany · Canada · Australia
Profile
Started as a Java developer (Harman / HP): Spring MVC, REST, Hibernate, JUnit, production support. Grew into roles that own both sides — requirements, API contracts, reconciliation, and the Java that ships. Not a BA who stops at specs, and not a ticket-only coder.
Nifty / Bank Nifty / Sensex options + crypto. Production: aether.kaitr.com. Same loop as the Java years: sit with the operator, wire systems, ship, own incidents.
India session encoded. 09:15–15:30 IST, entry / exit / stop, defined-risk option selling; broker/venue router (Zerodha → India APIs + Delta / Mudrex); AES-256-GCM vaults, fail-closed LIVE gate, AWS P0–P3 runbook; agents on the 15-min forecast cycle.
Featured — 50Hertz Pvt. Ltd. · Energy Scheduling & Forecasting
Technical Lead / Senior Software Engineer · Apr 2025 – Nov 2025 · New Delhi · Java, Spring Boot, Spring MVC, Kafka, JPA, AWS, Docker, Kubernetes, OAuth, JUnit, Maven
Mission-critical distributed energy scheduling and forecasting platform: generation / demand slots, forecast revisions, and downstream impact when a schedule or integration changes. Techno-functional lead who wrote the Java — not a spec handed to someone else.
Solution design in Java. Translated grid-operations requirements into Spring Boot microservices: API contracts, JPA persistence, Kafka event flows for schedule/forecast updates, reusable integration patterns with enterprise architecture.
Impact analysis before change. End-to-end assessment across services, APIs, and downstream consumers before enhancements — process mapping, gap analysis, technical feasibility with architects and product owners so a slot or forecast change did not silently break neighbours.
Integration & data. Defined service interactions and data flows (REST + Kafka) across the scheduling mesh; JSON contracts, mapping, and SQL validation when forecast vs schedule disagreed.
Observability & production. Centralized logging, monitoring, distributed tracing; production-support and release governance so incidents had a trace, not a war room guess. OAuth on service boundaries.
Stakeholder loop. Embedded with operators, enterprise architects, and engineering — requirements and JUnit-tested services in the same engagement. Same FDE shape as later Aether: sit with the desk, ship the platform, own reliability.
Experience
Flight Center Travel Group (Dubai, onsite) — Senior Software Engineer
Payment integration (REST + Kafka + batch) to third-party gateways; JSON contracts, mapping, reconciliation, SQL tracing. Onsite: business, architects, QA, DB — and the Java that moved money.