We are seeking a proactive, technically strong, and collaborative SDET to own and drive quality engineering activities within a dedicated product development track (pod) delivering complex software solutions.
This is a hands-on leadership role requiring the ability to independently define and execute a quality strategy, collaborate closely with developers and product stakeholders, and integrate quality practices throughout the Software Development Lifecycle (SDLC).
We are evolving beyond traditional, manual-heavy QA approaches toward AI-assisted, automation-first quality engineering. The ideal candidate is technically curious, adaptable, and excited about leveraging modern tools to improve software quality, accelerate delivery, and reduce repetitive work.
Key responsibilities- Own quality within the pod: Lead and coordinate all QA activities for a dedicated development track, ensuring quality is embedded throughout the SDLC rather than treated as a final testing phase.
- Drive test strategy: Define risk-based testing approaches and appropriate coverage across API, integration, functional, end-to-end, and non-functional testing.
- Champion test automation: Design, develop, and maintain automated tests using modern frameworks and AI-assisted development tools.
- Collaborate across disciplines: Work closely with frontend and backend developers, product owners, and other stakeholders to identify risks, clarify requirements, and prevent defects early.
- Integrate quality into delivery: Ensure automated quality checks are incorporated into CI/CD pipelines and evolve alongside application changes.
- Provide quality visibility: Communicate risks, coverage gaps, testing outcomes, and release readiness using meaningful, actionable quality signals.
- Continuously improve: Identify bottlenecks, challenge inefficient processes, and introduce practical improvements that increase delivery speed without compromising quality.
- Lead by example: Promote shared ownership of quality, mentor team members when needed, and foster a collaborative, learning-oriented engineering culture.
- Proven ability to independently lead QA activities for a development team delivering complex software applications
- Strong understanding of software architecture, APIs, integrations, and modern SDLC practices
- Practical programming experience in at least one language (Python, JavaScript/TypeScript, Java, or similar)
- Hands-on experience with automated testing and familiarity with CI/CD pipelines
- Familiarity with AI-assisted development tools or demonstrated ability and enthusiasm to adopt them
- Strong analytical thinking, problem-solving, and technical troubleshooting skills
- Excellent communication, collaboration, and organizational skills
- Experience with Cypress, Playwright, Pytest, or similar automation frameworks
- Experience testing distributed systems, microservices, and complex API integrations
- Familiarity with GitHub Actions, Jira, and modern development workflows
- Experience leveraging AI coding assistants to accelerate test development and maintenance
- Experience with performance testing, observability, or production quality analysis
Skills Required
- Experience in software QA, testing, or software development
- Working knowledge of one or more programming languages, including JavaScript, Python, Java, C#, or TypeScript
- Hands-on experience with test automation frameworks such as Cypress or Playwright, covering API and web UI testing
- Ability to work effectively with AI coding assistants and extract reliable, production-ready output
- Strong communication and collaboration skills
- Proactive and curious approach, with willingness to learn and grow
- Ability to think critically and adapt quickly in a changing environment
- Experience building or improving AI-assisted tooling, such as prompts, pipelines, or generators
- CI/CD integration of automated test suites
- Familiarity with Agile/Scrum environments
- Quantifiable impact from past QA work, such as time saved, defect catch rate, or coverage improvement
What We Do
Productiv Team is an IT services and consulting partnership that acts as a strategic technology partner for consulting, data and artificial intelligence, software development, and expert staff augmentation. Through nearshoring, it designs, sources, and manages complete engineering teams from talent networks in Eastern Europe, Latin America, and Canada, helping clients extend internal capabilities with aligned time zones and faster hiring.
