Senior Backend Engineer — Agentic SDLC / AI-Driven Development Lifecycle (AI-DLC)

Required Technical Skills

▸ 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

Qualifications & Experience

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

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