Senior Backend Engineer — Agentic SDLC / AI-Driven Development Lifecycle (AI-DLC)
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Key skills for this role
About the Role
DICETEK LLC seeks a Senior Backend Engineer with 10+ years of experience to lead agentic SDLC and AI-driven development lifecycle initiatives. The role requires deep expertise in Java 17+, Spring Boot 3.
Key Skills for This Role
Responsibilities
- Design and implement agentic SDLC and AI driven development lifecycle solutions
- Develop and maintain microservices using Java 17+ and Spring Boot 3.x
- Integrate LLM agent orchestration frameworks (LangChain4j, Spring AI) for code generation and automation
- Design and optimize RAG pipelines for document ingestion, embedding, and retrieval
- Implement messaging, caching, and data storage solutions with Kafka, Redis, and SQL/vector databases
- Manage cloud infrastructure on AWS using IaC tools and CI/CD pipelines
- Ensure security, compliance, and data protection in banking context
Requirements
- 10+ years of professional hands on backend software engineering experience in production environments
- Demonstrated enterprise scale Agentic SDLC / AI DLC implementation experience
- Experience in banking, fintech, or similarly regulated high compliance domain
- Bachelor's or Master's degree in Computer Science, Engineering, or related technical field (or equivalent experience)
- AWS Certified Developer / Solutions Architect
Full Job Posting
Required Technical Skills
- 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
- 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
- Local/private LLM deployment (Ollama, vLLM, or similar) for secure, on premise agentic workflows
- Apache Kafka: topic design, partitioning strategy, consumer groups, exactly once semantics, Schema Registry
- Redis: cache aside, write through, TTL strategies, pub/sub, Lua scripting, Redis Cluster
Additional Technical Skills
- SQL databases: SQL Server, Oracle, PostgreSQL — schema design, query optimisation, indexing
- Vector databases: pgvector, Weaviate, Qdrant, or equivalent for RAG/embedding storage
- 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
- 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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