Senior Software Development Engineer in Test (SDET)

Accelerant

1d • Remote

About The Position

We're building business solutions across the enterprise at Accelerant, and we need quality engineering to scale and keep up. You'll help drive the test automation strategy and implementation across our enterprise stack: Salesforce, MuleSoft, D365 and Reporting. You are a key decider about what gets automated, how it gets covered, and what gets pushed back on engineering. We need someone who can scale it, harden it, expand its reach into systems that have never had real QA coverage, and build modern, AI-assisted QA tooling that lets our team expand its impact. You'll partner closely with engineering, product, and business teams to identify where quality is leaking, expand automation breadth and depth, and build specialized QA agents that reduce the manual toil. You own end-to-end delivery of the test automation function. This Is a High-Autonomy, High-Impact Role for Someone Who: Sees a flaky test or a coverage gap and cannot leave it alone. Excels at iterating and shipping the right framework, not the perfect one. Has scaled a real test automation framework in production — not just written tests against one. Has built with Playwright, modern CI, and AI coding assistants long enough to have strong opinions about what fits our needs. Can prototype a QA agent in Cursor and iterate as they go. Operates with autonomy, and can carry a technical discussion on framework design, test architecture, and tradeoffs. Is genuinely curious about applying emerging AI to QA.

Requirements

• Proven experience designing and scaling test automation frameworks in production.
• Deep hands-on expertise with Playwright and modern JavaScript/TypeScript.
• Experience automating against complex enterprise SaaS - ideally Salesforce, MuleSoft, D365 (Power Apps and/or F&O).
• Hands-on experience building with LLMs and AI coding assistants - Cursor in particular. Bonus if you've built and deployed agents.
• Solid grasp of API testing, contract testing, and integration testing patterns - especially across layers like MuleSoft.
• Ability to define test strategy, coverage targets, and quality metrics - and defend them to engineering leadership and the business.
• Strong communication skills - you can explain a flaky-test root cause to a junior engineer and a coverage gap to a product lead.
• Demonstrated bias for action and ability to operate autonomously in ambiguous, fast-changing environments.

Nice To Haves

• Experience in insurance, fintech, or other regulated financial services industries.
• Familiarity with insurance concepts (underwriting, claims, actuarial workflows) or willingness to learn them deeply.
• Strong working knowledge of CI/CD, and reporting/observability for test suites.
• Experience deploying AI agents on an internal AI platform or fabric (governance, eval harnesses, prompt/version management).
• Performance testing background.

Responsibilities

• Own the test automation roadmap end to end. Set the strategy, prioritize the work, and drive execution across the team. You'll partner with QA and engineering on what we automate, how, and when.
• Take the Playwright/JavaScript framework from foundational to enterprise-grade, with a focus on performance, stability, and reusability.
• Push automation into areas that may not have any QA support today, and deepen regression coverage on core systems: Salesforce, MuleSoft, D365 Power Apps, D365 F&O, DCR, and Tagetik.
• Help build the design and review process that keeps automation quality high as the suite and the team grow - test design standards, code review norms, framework contribution guidelines.
• Build the infrastructure that runs tests fast, reports results clearly, and surfaces signal over noise. Parallel execution, smart retries, actionable dashboards.
• Design and ship AI agents for performance testing, regression analysis, and defect triage (to name a few). Use Cursor as your build environment. Treat the agents as products solving specific problems.
• Partner with the AI platform team to deploy your agents on the org's AI fabric. Make them discoverable, governed, and reusable across functions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed