Job Description

Design, develop, and maintain Agentic AI modules using Python and MCP, including agent-to-agent collaboration.
Architect and deliver GenAI-powered applications , integrating LLMs, prompt engineering pipelines, and RAG-based patterns into enterprise-grade services.
Implement robust authentication and authorisation for MCPs, AI Agents, and APIs using OAuth 2.0, JWT, IAM roles, and mTLS, ensuring compliance with enterprise security standards.
Build and deliver scalable, high-performance applications and microservices using Java or Python on AWS, leveraging services including EC2, S3, SQS, SNS, ECS, EMR, Lambda, Glue, Athena, API Gateway, and DynamoDB .
Design end-to-end solutions across batch processing and real-time streaming pipelines, and work across relational (Aurora Postgres) and NoSQL (DynamoDB, MongoDB) databases with strong data modelling practices.
Integrate Veracode or Checkmark tooling into CI/CD pipelines, enforce data encryption at rest and in transit.
Apply strong working knowledge of communication protocols (REST, gRPC, GraphQL) to make sound integration and interoperability decisions.
Troubleshoot production issues, perform thorough root-cause analysis , and implement high-quality, lasting fixes.
Write clean, efficient, and maintainable code aligned with engineering best practices; conduct thoughtful peer code reviews and enforce coding standards.
Drive maturity in CI/CD pipelines, IaC (Terraform, AWS CDK), automated testing, and DevOps practices to improve delivery speed and release confidence.
Contribute to architecture, system design, and estimation discussions, and identify opportunities for automation, optimisation, and continuous improvement.
Collaborate closely with cross-functional teams including QA, DevOps, Product, Solution Architecture, and UX.
Mentor engineers and foster a strong engineering culture focused on quality, security, and innovation.

Qualifications

13+ years of software engineering experience with strong proficiency in Java and Python .
Hands-on experience designing and deploying Agentic AI, MCP servers, and Multi-Agent Systems in a production environment.
Deep familiarity with the AWS cloud ecosystem and distributed systems architecture.
Experience with NoSQL (DynamoDB, MongoDB) and relational databases (Aurora MySQL) , including data modelling and query optimisation.
Strong knowledge of API authentication and security OAuth 2.0, OpenID Connect, JWT
Experience with Veracode or equivalent security scanning tools integrated into CI/CD pipelines.
Proficiency with IaC tools (Terraform) and CI/CD platforms (Jenkins).
Strong understanding of system design, microservices, debugging, and performance optimisation.
Excellent problem-solving, communication, and collaboration skills in a regulated enterprise environment.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Staff Engineer (Python/AWS)

Job Description

No Referrers Available