Distinguish Engineer - API & Data

Overview

Permanent API Engineer role within the Data Foundations team of Fidelity's Data and Investment Analytics function, delivering technology solutions for the Asset Management Platform.

What you'll do

• Play a key role in delivering technology solutions that meet the needs of the business, as prioritised by the Value stream leads
• Establish strong relationships within the scrum team, and with neighbouring squads and release trains
• Work closely with operations and business representatives to deliver mutually agreed, value-focussed solutions
• Display an understanding of the data domain and modern data lake and reporting principles and best practices
• Influence decisions and solution choices effectively, whilst recognising the strength of a diverse team and different ideas
• Improve productivity through automating routine tasks, decreasing time to deliver continuous improvement initiatives and optimising infrastructure costs through efficient database design
• Assist development teams with cloud best practices, troubleshooting, and other technical issues related to the implementation of a customer-facing proposition

What you'll need

• 8-10 years of API/software and data engineering experience, with strong hands-on experience across both API development and data technologies
• Strong hands-on software engineering experience in Java and/or Python, with Java experience mandatory, designing and building production-grade RESTful APIs
• Strong hands-on data engineering experience, with Snowflake and/or Oracle, including SQL, performance tuning and data integration
• Strong experience designing and running cloud-native solutions on AWS, including containerised applications and Kubernetes
• Proven experience designing RESTful data distribution APIs: OpenAPI contracts, versioning, pagination, filtering, rate limiting and idempotency, and choosing between API, bulk file (e.g. unloading to cloud storage) and data-share delivery based on volume, latency and cost
• Strong security engineering: OAuth 2.0/OIDC (client credentials), key-pair authentication, least-privilege RBAC, secrets management, masking/row-level security and audit logging for sensitive financial data
• Multiyear experience designing and running cloud-native applications on AWS and Kubernetes
• Expertise in Docker containers, container management platforms and microservices architectures, including running the full SDLC on container-hosted applications
• Detailed knowledge and experience of working with modern data warehouses / data lakes and data modelling for consumption use cases
• Rich experience in CI/CD, build/deployment automation and infrastructure as code (e.g. Terraform)
• Experience building observable and resilient services: structured logging, metrics, tracing, alerting, retries/timeouts, and defining and meeting SLAs/SLOs
• Working knowledge of API gateway, web and messaging/queuing platforms
• Rich knowledge of design and architecture patterns, able to document and defend trade-offs and to evolve complex solutions incrementally in small, progressive deliveries
• Expert craftsman of test-first Test-Driven Development (TDD), including contract and data reconciliation testing
• Proficient in AI-assisted development using tools like GitHub Copilot with Agents, and experience integrating AI into software solutions
• Adept at pair programming at any experience level, coaching juniors, leading design and code reviews, and comfortably supporting code written by others
• Self-motivated, with a solid technical engineering background and influencing skills
• A willingness to take on new challenges, collaborate and share knowledge freely with colleagues globally

Nice to have

• Uses code autocompletion AI (Copilots) for simple tasks and searches StackOverflow/ChatGPT for troubleshooting (most code expected to be AI-generated) and beginning to adapt
• Working knowledge of LLMs, Transformers, MCPs and Prompt engineering
• Knowledge of GenAI tools like OpenAI APIs etc.
• Generative AI & LLMs: Basic understanding of Large Language Models (LLMs) and Generative AI (GAI), with hands-on experience in LangGraph, LangChain, LlamaIndex, OpenAI APIs and Model Context Protocol (MCP) for building AI agents and conversational systems, Transformers, and Prompt engineering

Details

• Location: India (ATS location: Gurgaon Office)
• Job type: Permanent
• Application deadline: 18 November 2026
• Level: 5
• Flexible about where and when you work