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

Other

Languages

English: C1 Advanced

Seniority

Senior

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Engineer for API/EKS Containerization/MCP