Senior Integration Engineer

Gen II is a leading fund administration provider focused entirely on serving private capital asset managers and investors with a best-in-class combination of people, process, and technology. With over $1 trillion in private fund capital assets under administration and offices in the US and Europe, we’re looking for do-ers, problem-solvers, and entrepreneurs who want to make an impact in our industry, grow with us, and create a community where everyone thrives.

At Gen II, careers mean more—more opportunity, more innovation, and more ideas. You’ll have the chance to grow in ways that are meaningful to you, work alongside some of the best people in their field, and receive training that advances your technical and personal skill set. Be part of a community that recognizes achievements, promotes from within, and offers meaningful benefits focused on your physical, mental, and financial well-being.

About the role

Gen II is building out its Data & Integration Platform (DIP)—the central integration backbone connecting 40+ systems across our fund administration technology estate. At the heart of DIP is an AI-assisted integration factory: a structured, repeatable delivery engine for building, testing, and deploying integration adapters at pace.

We are looking 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. This role is for someone who already works this way and can help push the factory model further. You will be expected to come in, get up to speed quickly, and drive forward integration workstreams with minimal oversight. We need a self-starter who can take a requirement, own it end-to-end, and deliver at pace and quality. You will report to and work closely with the Associate Director of Data Engineering.

Responsibilities

• Integration Factory & AI-Assisted Delivery
  • Build and extend reusable system wrappers for applications and systems across the Gen II technology estate.
  • Use AI tooling (LLMs, codegen, Claude) across all integration development—scaffolding Function Apps, generating Logic Apps workflows, producing APIM policies, building test cases, generating IaC, and automating documentation. AI assistance is the default mode of working, not a selective shortcut.
  • Contribute to the factory’s pattern library—standardizing error handling, retry logic, logging, and payload structures across all integration components.
  • Drive CI/CD pipeline integration for adapter delivery—automated test execution, linting, and deployment gates.
• Azure Integration Engineering
  • Design and build integration adapters using Azure Function Apps—the primary execution pattern across DIP.
  • Develop Logic Apps Standard workflows, including WDL authoring, scope actions, error handling, and retry patterns—with AI-assisted workflow generation embedded in the build process.
  • Configure Azure API Management—inbound/outbound policies, managed identity auth, versioning, and throttling—leveraging AI to draft, validate, and document policies.
  • Work with Azure Service Bus for event-driven and async messaging patterns.
  • Contribute to IaC outputs (Bicep) for per-adapter infrastructure—using AI to scaffold and maintain templates.
• Delivery & Collaboration
  • Take integration workstreams from requirement to production with minimal hand-holding.
  • Write clean, well-tested code with test suites aligned to DIP QA standards.
  • Work closely with the Associate Director of Data Engineering, DIP Architect, BAs, and QA—raising blockers early and documenting decisions clearly.
  • Collaborate with data engineers to ensure ingress and egress integration outputs land cleanly in/out of Snowflake.

Requirements

• 5+ years of hands-on integration engineering experience—evidenced in role history, not just a skills list.
• Deep practical experience with Azure Function Apps, Logic Apps Standard, Service Bus, and API Management—you have written the workflows and configured the policies yourself.
• Strong C# development—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. This should be embedded in how you work, not aspirational.
• Ability to own workstreams independently and drive delivery without close management.
• Experience writing system wrapper libraries—encapsulating authentication, API interaction, and error handling for third-party platforms (desirable).
• Snowflake experience—querying, schema patterns, and structuring integration payloads for downstream consumption (desirable).
• Exposure to fund administration or broader financial services environments (desirable).
• 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.

Pay

The salary range for this position is $125,000 - $160,000, in addition to a discretionary bonus and comprehensive benefits package. The actual salary offered within that range will depend on the candidate’s experience level.

Schedule

This role follows a flexible hybrid schedule, with the expectation to be in the office 1-4 days per week on an as-needed basis.