Senior Backend Engineer

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 Employment Type Full Time Company Industry RecruitmentPlacement FirmExecutive Search Department / Functional Area Engineering Keywords Technical Lead BackendPerformance OptimizationBackend ArchitectSenior Software EngineerDatabase DesignCode ReviewAPI DevelopmentLead Software Developer Get real-time job updates only on our App