Software Development Engineer in Test (Data & Analytics)

The Role

This is not a traditional QA role.

As an SDET in Data and Analytics, you’ll be a core member of the engineering team, responsible for designing and implementing the test automation infrastructure that enables us to move fast and build trustworthy software. You’ll work closely with software engineers to integrate test coverage into our development workflows and CI/CD pipelines, ensuring that quality is everyone's responsibility, and that it’s supported by the right tooling and automation.

You’ll help define what “good” looks like for testability and automation, and you’ll partner with engineers to make sure our systems are robust, observable, and continuously verified.

Key Responsibilities

• Build and maintain test automation frameworks that support integration, end-to-end, and regression testing.
• Partner with engineers to design testable systems and incorporate automated tests into their workflows.
• Integrate automated tests into CI/CD pipelines to support safe, frequent releases.
• Define and champion quality standards across the team including test coverage, reliability, observability, and traceability.
• Identify gaps in test coverage and propose pragmatic strategies to close them.
• Provide guidance and coaching to engineers on testing practices, tools, and techniques.
• Continuously improve our developer experience by reducing friction and increasing confidence in releases.

Essential Criteria

• Solid engineering experience and capable of writing clean, maintainable code in a modern programming language.
• Experience designing and building automated test frameworks (e.g. integration, E2E, API-level).
• Familiarity with modern CI/CD tools and integrating tests into build and deploy pipelines.
• Deep understanding of testing principles, test design, and how to test distributed systems.
• You’ll have a collaborative mindset, and you enjoy helping others improve and raising the quality bar across the team.
• Strong communication skills and a drive to simplify complex testing problems.

Desirable Criteria

• Experience working in data-intensive, cloud-native environments.
• Familiarity with performance testing, fault injection, and resilience testing.
• Exposure to tools like NUnit, Pytest, Playwright, Postman, or similar.
• Understanding of how to test asynchronous workflows or event-driven systems (e.g. with Temporal.io).
• Interest in developer tooling, platform engineering, or internal developer platforms (IDPs).

What We Offer

• A key role in building high-trust systems that power critical compliance workflows.
• The chance to shape quality culture in a high-performing engineering team.
• A supportive, collaborative team environment with smart people who care about good engineering.
• Freedom to propose tools, techniques, and practices that improve reliability and velocity.
• A modern, cloud-first tech stack and ambitious technical roadmap.