Senior Backend Engineer — Agentic SDLC/AI-Driven Development Lifecycle; AI-DLC
Job Description & How to Apply Below
- Java 17+ — records, sealed classes, virtual threads / Project Loom
- Spring Boot 3.x — Spring Security, Spring Data JPA/JDBC, Spring Web Flux, Spring Cloud
- RESTful API design with OpenAPI 3.x specifications as source of truth
- Production experience with LLM agent orchestration frameworks:
LangChain4j, Spring AI, Auto Gen, CrewAI, or equivalent - MCP (Model Context Protocol) server implementation and enterprise tool-use integration
- Prompt engineering for code generation, spec synthesis, test generation, and review automation at enterprise scale
- AI-assisted development tooling:
Git Hub 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
- 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
- Vector databases: pgvector, Weaviate, Qdrant, or equivalent for RAG/embedding storage
- AWS: ECS/EKS, Lambda, RDS, Elasti Cache, S3, SQS/SNS, API Gateway, Cloud Watch, IAM, Secrets Manager
- Infrastructure-as-Code: AWS CDK, Cloud Formation, or Terraform
- Git Hub Actions CI/CD with agentic quality gates, AI-powered code analysis steps, and automated spec validation
- Bank PII handling: masking, tokenisation, field-level encryption, audit logging
- CBUAE data residency and UAE PDPL compliance requirements
- Java 17+ — records, sealed classes, virtual threads / Project Loom
- Spring Boot 3.x — Spring Security, Spring Data JPA/JDBC, Spring Web Flux, 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
- Production experience with LLM agent orchestration frameworks:
LangChain4j, Spring AI, Auto Gen, 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:
Git Hub 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
- 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, Postgre
SQL — schema design, query optimisation, indexing - Vector databases: pgvector, Weaviate, Qdrant, or equivalent for RAG/embedding storage
- AWS: ECS/EKS, Lambda, RDS, Elasti Cache, S3, SQS/SNS, API Gateway, Cloud Watch, IAM, Secrets Manager
- Infrastructure-as-Code: AWS CDK, Cloud Formation, or Terraform
- Git Hub Actions CI/CD with agentic quality gates, AI-powered code analysis steps, and automated spec validation
- Docker containerisation;
Kubernetes orchestration
- 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
- 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:
Open Telemetry, Prometheus, Grafana, structured logging, distributed tracing
Position Requirements
10+ Years
work experience
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