Job Description

Roles & Responsibilities

• ▸ Core Backend (Non-Negotiable)

  • Java 17+ — records, sealed classes, virtual threads / Project Loom

  • Spring Boot 3.x — Spring Security, Spring Data JPA/JDBC, Spring WebFlux, Spring Cloud

  • Microservices architecture patterns: API Gateway, Circuit Breaker (Resilience4j), Saga, CQRS, Outbox

  • RESTful API design with OpenAPI 3.x specifications as source of truth

  ▸ Agentic & AI Tooling (Non-Negotiable)

  • Production experience with LLM agent orchestration frameworks: LangChain4j, Spring AI, AutoGen, CrewAI, or equivalent

  • MCP (Model Context Protocol) server implementation and enterprise tool-use integration

  • RAG pipeline design: document ingestion, chunking strategies, embedding models, vector database selection, retrieval tuning

  • Prompt engineering for code generation, spec synthesis, test generation, and review automation at enterprise scale

  • AI-assisted development tooling: GitHub Copilot, Cursor, Claude Code, or equivalent — with demonstrated productivity outcomes

  • Local/private LLM deployment (Ollama, vLLM, or similar) for secure, on-premise agentic workflows in regulated environments

  ▸ Messaging, Caching & Data

  • Apache Kafka: topic design, partitioning strategy, consumer groups, exactly-once semantics, Schema Registry (Avro/Protobuf)

  • Redis: cache-aside, write-through, TTL strategies, pub/sub, Lua scripting, Redis Cluster

  • SQL databases: SQL Server, Oracle, PostgreSQL — schema design, query optimisation, indexing

  • Vector databases: pgvector, Weaviate, Qdrant, or equivalent for RAG/embedding storage

  ▸ Cloud, DevOps & CI/CD

  • AWS: ECS/EKS, Lambda, RDS, ElastiCache, S3, SQS/SNS, API Gateway, CloudWatch, IAM, Secrets Manager

  • Infrastructure-as-Code: AWS CDK, CloudFormation, or Terraform

  • GitHub Actions CI/CD with agentic quality gates, AI-powered code analysis steps, and automated spec validation

  • Docker containerisation; Kubernetes orchestration

  ▸ Security, Compliance & Banking Context

  • OAuth2 / OpenID Connect: authorization code flow, PKCE, JWT validation, refresh token rotation

  • Bank PII handling: masking, tokenisation, field-level encryption, audit logging

  • CBUAE data residency and UAE PDPL compliance requirements

  • PCI-DSS awareness: CHD scope reduction, tokenisation, secure coding for payment flows

Desired Candidate Profile

• 10+ years of professional hands-on backend software engineering experience in production environments — mandatory

• Demonstrated, verifiable enterprise-scale Agentic SDLC / AI-DLC implementation experience — mandatory

• Experience in banking, fintech, or a similarly regulated, high-compliance domain — strongly preferred

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field (or equivalent professional experience)

• AWS Certified Developer / Solutions Architect — a plus

• Proven track record of delivering complex distributed systems with high availability and measurable performance outcomes

• Observability: OpenTelemetry, Prometheus, Grafana, structured logging, distributed tracing