# Senior QA Engineer **Company:** [dili](https://zerogtalent.com/ai-companies/dili) **Location:** New York City, NY / Remote (US) **Work mode:** Hybrid **Seniority:** Senior **Employment type:** Full Time **Category:** Manufacturing **Listed:** 2026-09-09 [View and apply on Zero G Talent](https://zerogtalent.com/ai-jobs/dili/senior-qa-engineer-108949) ## Job description ### Senior QA Engineer ### About Dili Dili builds software that helps construction and clean-energy companies manage complex prevailing wage, apprenticeship, and labor compliance requirements. We started Dili because labor compliance is still handled through a mix of spreadsheets, PDFs, manual review, and institutional knowledge, despite determining whether some of the largest construction projects in the country are compliant. Today, we’re a team of roughly 30, including a small engineering team working closely with our in-house Compliance team. We’re building the infrastructure to turn complex regulatory requirements into software that can be evaluated consistently, explained clearly, and audited. ### About the role Our compliance engine evaluates payroll, timekeeping, worker classifications, prevailing wage rates, apprenticeship requirements, and documentation across frameworks including federal Davis-Bacon, IRA requirements, state prevailing wage laws, and programs such as NYSERDA and Illinois Shines. We’re looking for a **Senior QA Engineer** to own automated product quality, with a particular focus on formally validating our compliance engine and preventing regressions. This is not primarily a manual QA role. You’ll build the systems that let us **enumerate the compliance scenarios we support, tie them to the underlying regulations, automate their validation, and confidently determine whether a release is correct.** You’ll work directly with engineers and our Compliance team to turn regulations and interpretations into deterministic, executable tests. ### What you'll own - Build and maintain a registry of compliance scenarios across supported frameworks - Translate regulations, agency guidance, and internal compliance interpretations into structured, testable cases - Include citations to the authoritative regulatory or program sources behind expected behavior - Develop automated tests that formally verify our compliance engine - Test interactions between overlapping federal, state, and program-specific requirements - Cover edge cases, exceptions, remediation flows, and previously identified production issues - Make scenarios easy for our Compliance team to review, update, and extend - Expand automated coverage across high-risk product workflows - Build and improve integration, API, end-to-end, and regression test suites - Establish automated quality gates and release-readiness criteria - Improve visibility into scenario coverage, failures, and known gaps ### What we're trying to build We want our test infrastructure to become an **executable specification of the Dili compliance engine**. For each scenario, we should be able to define: - the applicable regulation or program requirement, with citation - the relevant project, payroll, worker, wage, and apprenticeship inputs - the expected compliance determination - the expected calculations, issues, remediation, and reporting behavior These scenarios should be understandable by Compliance, version-controlled, automatically executable, and tied directly to release readiness. ### Your first 90 days **First 30 days** - Learn the architecture of the compliance engine and how our engineering and Compliance teams currently validate changes - Map at least one major compliance framework into a structured set of scenarios - Identify the highest-risk gaps in our existing automated coverage **By 60 days** - Build the initial version of the compliance scenario registry - Automate a meaningful set of high-priority scenarios, including regulatory citations and expected outcomes - Establish a repeatable process for turning production defects into regression tests **By 90 days** - Have critical compliance scenarios running automatically in CI - Give Engineering and Compliance clear visibility into coverage, failures, and known gaps - Establish release-readiness criteria that provide concrete evidence that changes to the compliance engine are safe to ship ### Must have - Strong experience in software QA, quality engineering, or test automation - Strong Python skills - Experience building automated integration and end-to-end test suites - Experience integrating testing into CI/CD and release processes - Ability to test a Python/React application in an AWS environment - Ability to systematically reason about complex combinations of rules, inputs, and expected outcomes - Ability to turn written requirements into precise, deterministic test cases - Strong attention to traceability: not just **“did this test pass?”** , but **“why is this the expected behavior, and what requirement supports it?”** - Ability to work closely with engineers and domain experts to resolve ambiguity ### Nice to have - Recent hands-on experience with Playwright - Experience with QA Wolf or similar modern QA tools - Experience with parameterized, property-based, combinatorial, or model-based testing - Experience testing payroll, tax, financial, legal, healthcare, insurance, or other rules-heavy software - Experience with requirements traceability, release certification, or audit evidence ### What success looks like - Dili has a structured inventory of the compliance scenarios we support - Critical scenarios are automatically tested and tied to authoritative regulatory sources - Compliance can review and contribute to expected behavior - Production defects become permanent regression tests - Changes to regulations or interpretations can be traced to affected scenarios - Releases provide clear evidence of what was tested and whether the compliance engine is ready to ship ## Other open roles at dili - [Customer Success Specialist](https://zerogtalent.com/ai-jobs/dili/customer-success-specialist-117462) — New York, NY, US / Remote (US) - [Founding Recruiter](https://zerogtalent.com/ai-jobs/dili/founding-recruiter-117032) — New York City, NY / Remote (US) - [Founding Recruiter](https://zerogtalent.com/ai-jobs/dili/founding-recruiter-116802) — New York, NY, US / Remote (US) - [Sale Operations Manager](https://zerogtalent.com/ai-jobs/dili/sale-operations-manager-111953) — Remote (US) - [Senior QA Engineer](https://zerogtalent.com/ai-jobs/dili/senior-qa-engineer-108688) — New York, NY, US --- *Source: [Zero G Talent](https://zerogtalent.com), the job board for space, defense, AI, robotics and frontier-tech companies.*