Java Full Stack Developer with Backend Focus

Java Full Stack Developer — Backend Focus

Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union's leading bank with an international reach. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10000 employees, to provide support and develop best-in-class solutions.

Design, develop, and maintain robust, scalable Java-based backend services and middle business layer components within enterprise full-stack applications. Own backend architecture decisions, API design, data access patterns, and integration with upstream and downstream systems. Work competently across the existing frontend layer using Angular/TypeScript/React . Bring the depth of an experienced backend engineer with the breadth to contribute across the full stack. Leverage AI-assisted development tools as a standard part of day-to-day engineering practice.

Design and Develop scalable full-stack solutions using Java, Spring Boot, and modern frontend frameworks (React/Angular).

Design and optimize high-performance APIs with security, caching, and fault tolerance.

Design and Develop robust backend services with efficient database interactions.

Build responsive UI with seamless backend integration.

Automate CI/CD pipelines for rapid, reliable software delivery.

Lead cloud-native deployments with containerization, auto-scaling, and cost optimization.

Enforce Quality-first engineering: Unit, integration, and ensure high code quality with SonarQube.

Contribute to technical design discussions and architecture decisions, particularly around API design, data layer, and system integration

Participate in code reviews and enforce clean code and quality gate standards

Support knowledge transfer and capability building within the India Solutions team

Collaborate with cross-functional teams (frontend, QA, infrastructure) on integration and delivery

Ability to work autonomously and take end-to-end ownership of backend components

Experience in large-scale regulated enterprise environments (banking/financial services preferred)

Experience Level: 8+ years

7+ years with Java backend development at enterprise scale





5+ years with Spring Boot/Spring MVC in production environments

Demonstrated good experience across the listed Technical skills.

Familiarity with frontend integration using Angular/TypeScript/React

Experience with legacy system refactoring to target architecture

Active use of AI coding assistants in daily workflow

Domain Experience

Banking, financial services, or similarly regulated enterprise environments preferred

Experience in GCC or offshore delivery models advantageous

Exposure to high-volume, high-availability backend systems

Core Java & JDK 21+

Modern language features – records, sealed classes, pattern‑matching, text blocks, and functional APIs (streams, Optional).

Concurrency & Parallelism – virtual threads (Project Loom), Completable Future, Executor Service, Fork/Join, and basic lock/atomic primitives.

JVM & GC tuning – G1/ZGC behaviour, heap‑dump analysis, JFR profiling, and module‑system (JPMS) usage.

Build & Unit‑test foundation – Maven/Gradle multi‑module builds, JUnit 5 + AssertJ, static code checks (SpotBugs), and basic GraalVM native‑image awareness.

Spring Ecosystem

Spring Boot 3.x – create micro‑service skeletons, auto‑configuration, actuator health‑checks, and simple security (JWT/OAuth2).,

Spring Data (JPA/R2DBC) – entity mapping, query‑hint optimisation, reactive repositories, and transaction demarcation.

Spring Cloud basics – service discovery (Eureka), API‑gateway pattern, externalized config (Config Server), and circuit‑breaker (Resilience4j).

Either Spring Batch OR Spring MVC OR Spring Integration

Spring Security– CSRF protection, OAuth2 resource‑server setup, basic role‑based access control, and token validation, zero trust, MTLS.

Database & Data Access Engineering

SQL & query optimisation – complex CTEs, window functions, indexing strategies, and execution‑plan analysis (PostgreSQL/Oracle/MySQL).

Database optimisation - (indexing, query plans). ORM performance – JPA/Hibernate mapping, N+1 detection,



second‑level cache, batch inserts/updates, and @QueryHints.

NoSQL & caching – when to use MongoDB, GraphDB, Redis (session/Cache‑aside), basic data‑modeling, and TTL/eviction policies.

Migrations & transactions – Flyway/Liquibase versioning, multi‑DB transaction handling (JTA), and isolation‑level choices.

API‑first & contract – OpenAPI/Swagger spec authoring, versioning strategy, and consumer‑driven contract testing (Pact).

Event‑driven patterns – Kafka or RabbitMQ producers/consumers, out‑box pattern, and basic saga (choreography) implementation.

DevOps

Containerisation & K8s – Docker multi‑stage builds, Helm chart basics, pod liveness/readiness probes.

CI/CD pipeline – Jenkins/Argo CD job that runs unit, integration, and static‑analysis steps; Observability starter – expose Prometheus metrics, configure a basic Grafana dashboard, and ship structured logs to ELK.

Testing & Quality Engineering

Test‑pyramid implementation – unit (JUnit 5/Mockito), integration (Testcontainers), contract (Pact).

Performance & load testing – JMeter script creation, baseline latency/SLO definition, simple analysis of results.

Static analysis & coverage – SonarQube quality gate, JaCoCo coverage threshold, SpotBugs rule set.

Frontend

Proficient working within existing Angular/TypeScript/NodeJS/NPM frameworks.

AI Tools

Daily use of AI DevAssistants (e.g., Claude, GitHub Copilot) to accelerate implementation across all skill areas

Experience with Prompt Engineering, codebase context and constraints of AI assistants

Sets technical direction for multiple squads and aligns it with business objectives

Cross-functional collaboration across frontend, QA, DecvSecOps and infrastructure teams

Balances speed, quality, and regulatory constraints in a fast-moving environment and is results oriented

Ensures that security, data‑privacy, and regulatory requirements are baked in.

Structured communication of technical decisions to non-technical stakeholders

Adaptability to legacy and greenfield environments delivering up-to-date, cloud‑native solutions.

Leverages generative AI to boost productivity and foster a culture of experimentation

Education Level: Bachelor's degree in Computer Science, Engineering, or equivalent skilled experience

📌 Java Full Stack Lead Engineer (Mumbai)
🏢 Bnp Paribas Bank
📍 Mumbai