Engineer for API/EKS Containerization/MCP

Project description

This initiative is a strategic transformation program within a leading financial services organization, aimed at shifting from traditional file-based data distribution (PDF, CSV, XML via SFTP/portal) to a modern API-driven and AI-enabled data platform. Currently, data is delivered through static, batch-generated reports (T+1), resulting in delays, operational inefficiencies, and limited usability. The program introduces a new architecture based on APIs and a Model Context Protocol (MCP) façade, enabling: Real-time, programmatic access to data AI-driven and conversational data consumption Elimination of fragile, file-based processes Improved scalability, performance, and overall client experience

Responsibilities

• Design and build data APIs (Python-based) exposing collateral and trade data Develop and deploy services on AWS using EKS (Kubernetes) and containerized architectures Implement infrastructure using Terraform (Infrastructure as Code) Contribute to the design and implementation of the MCP façade layer, enabling controlled, AI-driven access to APIs Ensure APIs are secure, governed, deterministic, and auditable Integrate APIs with Snowflake (Concorde data platform) and AWS data services (S3, etc.) Collaborate with architecture, data, and platform teams to define API standards and best practices Support test planning, execution, and member test readiness (documentation, onboarding materials) Produce and maintain technical documentation, architecture designs, and runbooks Participate in Agile delivery (sprint planning, reviews, retrospectives) Support deployment, monitoring, and rollout activities across environments Ensure alignment with LSEG governance, security, and change management processes

SKILLS

Must have

• As it's complex Project - minimum 8Y + Experience as Senior Backend Engineer (Python / AWS) that worked on a data platform transformation initiative, building APIs and deploying them on a cloud-native stack (EKS, Terraform) Mandatory Skills Description Technical Strong experience in Python development (API design & build) Hands-on experience with REST APIs and microservices architecture Strong experience with AWS cloud services Practical experience with containerization (Docker) and Kubernetes (EKS) Experience using Terraform for infrastructure automation Solid experience with SQL and Snowflake (or similar data platforms) Experience working with data integration and distributed systems Familiarity with DevOps tools (GitLab, CI/CD pipelines) Architecture & Systems Experience designing scalable, secure, and production-grade APIs Understanding of data access governance and API-first architecture principles Experience working with event/data-driven architectures Ability to design systems ensuring deterministic and controlled data access Development & Delivery Experience working in Agile/Scrum environments Strong focus on quality, documentation, and delivery outcomes Experience working in regulated or enterprise environments

Nice to have

Experience with Model Context Protocol (MCP) or similar AI integration layers Exposure to AI/ML-driven data access or conversational interfaces Experience with financial services / capital markets / clearing systems Familiarity with monitoring and observability tools (e.g., DataDog) Knowledge of SFTP/file-based legacy systems transformation