QA Lead /SDET Lead

What You Will Do:

The role

Automation-first quality engineering for a platform combining voice, desktop, intelligence, and AI.

We emphasize AUTOMATION — we do not do manual QA here.

Weekly code deploys are the heartbeat: when a QA branch is ready, regressions run fast, results report fast, and the train doesn't wait.

Startup environment: 1-week sprints, fail fast, move forward.

What you'll own

Quality strategy across the 1-week cadence as surface area grows

The cross-service contract suite gating production

Future (phase 2) QA hires

Sets the automation patterns by shipping them; raises the QA engineers around you.

Automation coverage for your squads' services

Fast-turnaround regression suites gating weekly deploys

Rapid detection and reporting

Quality signal in minutes, not days

Load/stress coverage for your services' latency budgets

Your committed timelines.

Who you are

Keeps the respect of senior engineers through technical credibility; comfortable telling a tech lead their branch isn't ready — and delivering that fast, with data.

Show-me mentality on committed timelines: quality visible in every Friday demo, never the bottleneck.

Chaos/failure-injection mindset — kill a service, drop the bus, flap the network; prove the platform degrades gracefully.

Self-starter with grit and a show-me mentality.

You consider yourself exceptional, love new technology, adapt fast when the stack changes under you, and use AI tools daily to multiply velocity — including AI-assisted test generation.

A team player who likes winning, and a partner to dev, not a gate: when something breaks, you help the dev team isolate it fast.

What You Will Bring:

The QA/SDET Lead role builds upon our Senior QA/SDET profile by adding team leadership responsibilities. This is a player-coach position where the individual leads the quality engineering function while remaining hands-on with framework design, automation architecture, and the team's most complex technical challenges.

8+ years QA/SDET; you have built a test-automation foundation from scratch for a fast-shipping product — you'll build ours before scaled module QA exists.

Master issue-isolator and root-cause debugger — you narrow a failure to the service, the commit, the event; dev teams love your bug reports because they're half the debugging done.

Fast regression discipline — parallelized suites, smart test selection, results in minutes; quality at weekly-deploy speed without becoming the bottleneck.

Comfortable in high-load testing environments — load, stress, and soak testing of high-throughput, low-latency systems; you know how to find the knee of the curve.

Experience testing event-driven systems, WebSocket flows, and browser extensions — ordering, race conditions, real-time state.

CI-native mindset — tests wired into trunk-based CI/CD; flake management as a first-class discipline (a flaky suite is a broken suite).

Contract/API testing between services; synthetic data and traffic generation (simulated calls, event streams, audio) for repeatable real-time testing.

Testing AI outputs — eval-style assertions for non-deterministic LLM/ML features — a strong plus.