About the role

Were looking for a hands-on QA Automation Engineer to build reliable, scalable test automation across mobile, web, and backend services. Youll own test strategy, frameworks, and CI gating for a fast-moving fintech stack and youll use GenAI productively (not buzzwords) to speed up test creation, failure triage, and coverage analysis.

What youll do

Design and maintain automation for mobile (Flutter & React Native), web, and APIs; define test strategy for regression, smoke, and end-to-end flows.
Build & scale frameworks (component integration E2E) with a shift-left mindset; wire into Bitbucket Pipelines (or Jenkins/GitHub Actions) with quality gates.
Create resilient API and message-driven tests for Go microservices and Kafka workflows (producers/consumers, retries, idempotency, DLQs).
Stand up mobile UI automation on real/sim devices (BrowserStack / Firebase Test Lab / local device farm).
Implement contract testing (e.g., Pact) between services; use Testcontainers/LocalStack for deterministic integration tests (Kafka, Postgres, Redis, S3, etc.).
Add performance & reliability tests (k6/Locust), basic security checks (OWASP, auth/roles), and data validations against DynamoDB/Postgres.
Use GenAI to generate test cases & code stubs, synthesize test data, summarize flaky failures, and map requirements coverage (prompting best practices & PII-safe usage).
Instrument and debug with logs/metrics/traces (OpenTelemetry, Prometheus, Grafana); drive flake rate down and MTTR up.
Champion QA best practices across PR reviews, CI, and release workflows; mentor devs on writing testable code.

Must-have skills

Strong in at least one: TypeScript/Java/Python/Go.
Web UI automation: Playwright (preferred) or Cypress; API testing via Playwright API/Newman/REST Assured.
Mobile automation: Appium (including Flutter driver), Detox (for RN) or Maestro; familiarity with Flutter integration_test.
Backend & data: testing Go services, SQL for Postgres, DynamoDB basics, Redis validation.
Event systems: practical testing of Kafka pipelines; familiarity with consumer lag/ordering/idempotency testing.
Containers & mocks: Docker, Testcontainers, WireMock; ephemeral env testing.
CI/CD: Bitbucket Pipelines (or Jenkins/GitHub Actions), artifact/versioning, test sharding & parallelization.
GenAI in QA: experience with Copilot / OpenAI API / similar to generate tests, data, failure summaries; prompt hygiene, privacy/PII awareness.
Solid understanding of QA fundamentals: deterministic tests, flake reduction, reliable waits, test data mgmt, coverage strategy.

Nice to have

Contract testing (Pact); performance testing (k6); security basics (DAST/SAST pipelines).
AWS (ECS/MSK/S3/CloudWatch), feature flags, and canary testing.
Observability with OpenTelemetry traces for test assertions.
PCI-DSS/fintech domain exposure.
How well measure success
80% automation of critical paths across mobile/web/APIs within 90 days.
Flaky test rate
CI pipelines that block merges on quality gates (coverage, critical tests, perf smoke).
Clear mapping from requirements test cases production defects (downward trend).

Qualifications

3 4 years in QA automation with multi-platform exposure (mobile + web + backend).
Bachelors in CS/EE or equivalent practical experience.
Excellent debugging, ownership, and communication skills in a fast-paced environment.
Tools youll likely touch
Playwright, Cypress, Appium, Detox, Maestro, Postman/Newman, Pact, k6, Testcontainers, WireMock, Docker, Bitbucket Pipelines, SonarQube, OpenAI API/Copilot, Prometheus/Grafana, OpenTelemetry.

QA Automation Engineer

Job Description

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