Distinguish Engineer - API & Data

Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our Technology team and feel like youre part of something bigger.

• Title: API Engineer
• Department: Data and Investment Analytics Technology, Asset Management (AMP)
• Location: India
• Reports to: Data and Investment Analytics function
• Level: 5
• Job Type: Permanent

The pace of change across our industry as well as with technology is ever increasing. Fidelity continues to invest in modernizing its technology estate and alongside evolving our operations and ways of working. Better understanding and utilisation of our Data estate, and API layers, have a crucial role to play in meeting the needs of our clients and this role joins a global team dedicated to doing just that. The Data and Investment Analytics team operates within the Asset Management Platform and we work closely with the Investment Management, Trading and Middle Office business and operations teams. We are critical to every part of the business and key to providing the best client experience possible, bringing our wealth of knowledge, experience, and innovative thinking to our solutions.

As an API Engineer within the Data Foundations team, you will:

• 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
• This is a high-impact role where your decisions will shape Fidelitys ability to innovate and adapt for years to come.

This position requires a self-motivated individual with a solid technical engineering background and influencing skills, who can develop, assist development teams with cloud best practices, troubleshooting, and other technical issues related to the implementation of a customer-facing proposition.

Expected skills / attributes:

• 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.

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

A willingness to take on new challenges, collaborate and share knowledge freely with colleagues globally is also critical to success.