Salary
≈ $25k – $67k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp
Overview
Company
Impact
Profile match
Nineleaps are enablers of Digital Transformation across industries, helping partner companies become future ready.
We are looking for a senior full-stack engineer with deep expertise in Java, React, and Python to design, build, and scale mission-critical systems end-to-end. You'll own features from architecture through production, collaborate closely with product and data teams, and drive engineering excellence across distributed systems, async pipelines, and modern frontend surfaces.
The core responsibilities for the job include the following:
Backend and Distributed Systems:
- Design and deliver high-throughput Java (Spring Boot) microservices handling hundreds of concurrent RPS under sustained peak load.
- Build secure, production-grade RESTful APIs and async processing pipelines with full end-to-end ownership.
- Develop Python (FastAPI) microservices for data ingestion, ETL orchestration, and ML/AI-adjacent workflows.
- Architect event-driven systems using Apache Kafka, Redis, and async frameworks for real-time data processing.
- Scale services on GCP (GKE) and AWS (EKS, Lambda, S3) with observability and load-tested rollout strategies.
- Lead microservice modernization: decompose monoliths, define API contracts, and own delivery to production.
Frontend and UI:
- Build performant React.js applications with TypeScript, Redux Toolkit, TanStack Query, and Next.js .
- Architect micro-frontend platforms using Webpack Module Federation and event bus patterns.
- Develop real-time UI surfaces (WebSocket-driven dashboards) with sub-second update cycles.
- Design Dynamic UI Engines: configurable forms driven by backend JSON metadata enabling low-code configurability.
Data and Databases:
- Design PostgreSQL schemas optimized for high-volume transactional and analytical workloads.
- Build BigQuery / Snowflake pipelines views, streams, tasks, and stored procedures for large-scale KPI analytics.
- Optimize query performance and implement advanced caching to reduce backend load.
DevOps and Observability:
- Containerize and deploy via Docker, Kubernetes (GKE/EKS), and Helm with blue/green rollouts.
- Build observability dashboards with Kibana, Elasticsearch, and Grafana for system health monitoring.
- Conduct load testing (Locust, custom harnesses) and GKE tuning for production readiness.
Requirements:
- 5+ years of full-stack engineering with end-to-end ownership.
- Strong proficiency in Java (Spring Boot) microservices, REST APIs, and async processing.
- Solid Python backend experience: FastAPI, asyncio, Kafka integration, and ETL pipelines.
- Production-grade React.js, TypeScript, hooks, Redux, and TanStack Query.
- Deep understanding of distributed systems, Kafka, Redis, and event-driven architecture.
- Hands-on PostgreSQL schema design, query optimization, and transactional workflows.
- Cloud experience on GCP or AWS containerized deployments, managed services.
- Strong system design instincts: HLD docs, API contracts, stakeholder alignment.
Nice-to-Have:
- BigQuery, Snowflake, or Databricks for analytics pipelines.
- Micro-frontend architecture (Webpack Module Federation).
- Compliance/fintech domain experience (AML, KYC, PCI-DSS).
- AI/LLM-augmented development workflows.
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