Senior Integration Engineer

Gen 2 Careers•New York, NY

6h•Hybrid

About The Position

Gen II is building out its Data & Integration Platform (DIP), the central integration backbone connecting over 40 systems across its fund administration technology estate. The DIP features an AI-assisted integration factory, a structured and repeatable engine for building, testing, and deploying integration adapters efficiently. This role is for a Senior Integration Engineer to join the DIP team and take direct ownership of integration delivery, combining deep Azure integration expertise with an embedded AI-assisted development practice. The ideal candidate already works with AI tooling and can help advance the factory model. This self-starter will be expected to quickly get up to speed, drive integration workstreams with minimal oversight, and own requirements end-to-end, delivering with pace and quality. The role reports to and works closely with the Associate Director of Data Engineering.

Requirements

5+ years of hands-on integration engineering experience.
Deep practical experience with Azure Function Apps, Logic Apps Standard, Service Bus, and API Management.
Strong C# development skills, producing clean, production-quality code with proper error handling, logging, and test coverage.
Demonstrable experience building or contributing to an integration factory (reusable adapter patterns, scaffolding, CI/CD automation).
Active use of AI-assisted development in integration delivery (pattern generation, code scaffolding, IaC templating, documentation automation).
Ability to own workstreams independently and drive delivery without close management.
Strong communication skills with the ability to collaborate across technical and business teams.
Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent qualification from a recognized university or higher education institution.
Legally authorized to work in the United States.

Nice To Haves

Experience writing system wrapper libraries (encapsulating authentication, API interaction, and error handling for third-party platforms).
Snowflake experience (querying, schema patterns, and structuring integration payloads for downstream consumption).
Exposure to fund administration or broader financial services environments.

Responsibilities

Building and extending reusable system wrappers for applications and systems across the Gen II technology estate.
Using AI tooling (LLMs, codegen, Claude) across all integration development, including scaffolding Function Apps, generating Logic Apps workflows, producing APIM policies, building test cases, generating IaC, and automating documentation.
Contributing to the factory’s pattern library by standardizing error handling, retry logic, logging, and payload structures across all integration components.
Driving CI/CD pipeline integration for adapter delivery, including automated test execution, linting, and deployment gates.
Designing and building integration adapters using Azure Function Apps.
Developing Logic Apps Standard workflows, including WDL authoring, scope actions, error handling, and retry patterns, with AI-assisted workflow generation.
Configuring Azure API Management, including inbound/outbound policies, managed identity auth, versioning, and throttling, leveraging AI for drafting, validation, and documentation.
Working with Azure Service Bus for event-driven and async messaging patterns.
Contributing to IaC outputs (Bicep) for per-adapter infrastructure, using AI to scaffold and maintain templates.
Taking integration workstreams from requirement to production with minimal hand-holding.
Writing clean, well-tested code with test suites aligned to DIP QA standards.
Working closely with the Associate Director of Data Engineering, DIP Architect, BAs, and QA, raising blockers early and documenting decisions clearly.
Collaborating with data engineers to ensure ingress and egress integration outputs land cleanly in/out of Snowflake.