Chiranjeev Joshi

About Chiranjeev Joshi

Lead Backend Engineer building high‑throughput, low‑latency platforms at scale. I operate at the intersection of distributed systems and applied GenAI—shipping reliable microservices in Java/Spring Boot, PySpark data/feature pipelines, real‑time eventing with Kafka, and cloud‑native foundations on AWS (EKS, Lambda, EC2, IAM, CloudFormation). Hands‑on with architecture, performance, and observability, I turn hard problems into elegant, maintainable systems teams can own with confidence.What I do best🧩 Backend at scale: Design microservices & domain boundaries; enforce SLAs/SLOs, resilience (idempotency, retries, backpressure), and clean API contracts.🧠 GenAI in production: Ship RAG pipelines (vector stores, embedding flows), safe tool use, and MCP‑based agentic integrations—auditable, rate‑limited, enterprise‑ready. Data & streaming: Build batch/stream processing in PySpark + Kafka with schema governance, exactly‑once semantics (where required), and cost‑aware storage. Cloud & platform: Orchestrate on AWS + Kubernetes, automate with IaC, and bake in observability (metrics/traces/logs), progressive delivery, and incident playbooks.🧭 Technical leadership: Drive design reviews, mentor engineers, and create high‑leverage guardrails (templates, linters, golden paths) so teams move fast without breaking prod.Impact highlights 30–40% performance gains via profiling, caching, parallelism, and data‑access optimizations. MTTR: 24h → 4h through SLOs, alert hygiene, deep tracing, blameless postmortems, and runbooks. Millions of transactions/month processed across multi‑service architectures with clear ownership and deployment workflows.Core stackLanguages/Frameworks: Java, Spring Boot, Python, PySpark, FastAPIData/Streaming: Apache Kafka, Redis, Cassandra, DynamoDB, MySQL, ElasticsearchCloud/Platform: AWS (EKS, EC2, Lambda, IAM, CloudFormation), Kubernetes, Docker, Jenkins, Maven/GradleGenAI: RAG, MCP Framework, vector search, prompt/tooling guardrailsObservability/Quality: CloudWatch, X‑Ray, New Relic, Splunk, JUnit, Mockito, CucumberIf you’re building backend platforms that must scale and last—or want to compare notes on GenAI in production and high‑leverage platform patterns—let’s connect.

Experience

1. Software Engineer Iii Tech Lead

   Nike

   Oct 2022 — Present · Bengaluru, IN

   I currently work on Nike’s Retail and Search Engineering team, where I lead and contribute to the development of scalable, cloud-native platforms supporting global retail operations and search experiences.Key Contributions:• Building the agentic ai framework for nike retail, which increases efficiency, and helps in reducing incidents and tickets across the retail domain.• Led the Spain Invoice Generation Platform and architected the Cloud Checkout System for EMEA, enabling seamless retail transactions, scaling across stores.• Serve as Tech Lead for the Retail Cloud Checkout Platform, driving development of cart and checkout services used across Nike stores globally.• Redesigned product data ingestion services For Search Engineering Platform, improved performance by 40% and enhancing search relevance for millions of users.• Directed the development of a Search Analytics Service, reducing RCA time from 24 hours to 4 hours.Built a POS Log Generation Platform, enabling real-time audit and analytics across Nike’s retail footprint.• Streamlined checkout-to-receipt flow, optimizing return processes and reducing transaction time by 50%.• Designed and implemented a Global Rounding Rules Service with offline capabilities, improving accuracy in discount and payment calculations.• Mentored SDE-1 and SDE-2 engineers across tech stacks and platform architecture, fostering team growth and technical excellence.Tech Stack:Java, Python, JavaScript, TypeScript | Spring Boot, Node.js, FastAPI | React, Redux, Next.js | AWS | Docker, Kubernetes | MySQL, DynamoDB, MongoDB, Redis | Kafka, ElasticSearch | Splunk, CloudWatch, AWS X-Ray, New Relic, Grafana, Prometheus | LLM | RAG | A2A | Agentic AI | VectorDB | MCP

Education

• Ramaiah Institute Of Technology

  B.E, Computer Science