Headline

Software Engineer 2 @ Warner Bros. Discovery | Java · Spring Boot · AWS · Kafka · Microservices · Distributed Systems

About

I build backend systems that don't break when things get real. At Warner Bros. Discovery, I work on the Ad Platform — the engine behind ad configuration, decisioning, and delivery across streaming properties. My day-to-day involves designing systems that handle millions of events, stay up when downstream services don't, and scale without anyone losing sleep. Some things I've built recently: a retry-and-cache layer for IAM services that eliminated 150+ daily timeouts, an async bulk data-obfuscation engine that processes 1M+ records through SQS-backed queues, and a multi-layer caching system on DynamoDB that cut query latency by 60%. Before that, I shipped an ML recommendation pipeline using Databricks and CatBoost that streamed 50K+ daily predictions via Kafka to automate vendor routing — cutting manual assignment time by 30%. I started at WBD as a summer intern, went full-time, got promoted to SWE II, and have spent 3+ years solving progressively harder problems across the stack. That progression taught me something important: good engineering isn't just about writing code, it's about understanding the system well enough to know where it'll fail next. My toolkit: Java, Spring Boot, AWS (DynamoDB, SQS, API Gateway, Lambda, CloudWatch), Kafka, Kubernetes, PostgreSQL, Databricks, Elasticsearch, Datadog, and Grafana. I think in terms of distributed systems, resiliency patterns, and observability — not just endpoints and CRUD. I'm now looking for my next challenge as a Senior Software Engineer or SWE III at a company where backend engineering is core to the product and the problems are worth obsessing over. If that sounds like your team, drop me a message here or reach me at rajadityapqrst@gmail.com.

Location

Pune District

AI stack

antigravity

cursor

hugging face

langchain

langgraph

Deepgram

Work experience

Software Engineer 2 at Warner Bros. Discovery, Apr 2025 - Present · 1 yr 5 mos, Pune District, Maharashtra, India, • Built configurable retry strategies with exponential backoff and Guava caching for Okta-backed AuthZ APIs, using Java and API Gateway, which eliminated 150+ daily timeouts caused by downstream CPU throttling. • Engineered an async bulk data-obfuscation engine streaming 1M+ records to compliance services via SQS-backed queues, using binary search retry isolation, which achieved zero failed-batch regressions across all production runs. • Designed a multi-layer in-memory caching system backed by DynamoDB with CloudWatch-monitored TTL eviction, using Java and AWS, which reduced segment metadata query latency by 60% across thousands of daily requests. • Implemented secure cross-origin iframe messaging for micro-frontend apps served via CloudFront, using postMessage protocols with strict origin validation, which eliminated 100% of manual session re-authentications during tenant switching.

Software Engineer 1 at Warner Bros. Discovery, Jul 2023 - Apr 2025 · 1 yr 10 mos, Bengaluru, Karnataka, India, • Built an ML recommendation engine using Databricks and CatBoost, streaming real-time predictions via Kafka to a React frontend, which reduced manual vendor assignment time by 30% and cut operational costs. • Launched cloud-native data streaming pipelines integrating Kafka with Spring Boot APIs behind API Gateway, using AWS infrastructure, which delivered 50,000+ daily ML predictions into scheduled work orders for the core content-delivery platform. • Integrated observability across distributed AWS services using Datadog, Elasticsearch, CloudWatch, and Grafana, monitoring 1M+ daily event logs, which enabled ops teams to detect ingestion failures and resolve latency bottlenecks 35% faster. • Drove adoption of OWASP secure coding practices across the backend codebase, using static analysis tooling and peer review enforcement, which reduced security-flagged vulnerabilities by ~40% over two quarterly audits.

SWE Intern at Warner Bros. Discovery, Jan 2023 - Jul 2023 · 7 mos, Bengaluru, Karnataka, India, • Automated weekly reporting workflows and Kubernetes environment sanity checks using Python scripts and cron jobs, which saved 10 engineer-hours per week during regression and deployment cycles. • Built a Python utility to parse and validate metadata from 10,000+ incoming media-asset XML files weekly, using schema validation and error classification, which blocked corrupt assets and reduced downstream pipeline ingestion failures by 25%.

Summer Engineering Intern at Warner Bros. Discovery, May 2022 - Jul 2022 · 3 mos, Bengaluru, Karnataka, India, • Developed internal tooling for the content operations team using Spring Boot and Angular, which streamlined asset tracking workflows and reduced manual data entry by ~20%. • Built automated test suites for REST API endpoints using Mockito and JUnit, which improved pre-deployment defect detection and contributed to a 15% reduction in QA cycle time.

Education

Bachelor of Technology - BTech, Electronics and Communication Engineering, National Institute of Technology Jamshedpur

Higher Secondary, Computer Science, D.A.V public school