Senior Quality Engineer - AI-Driven Testing & Quality

InnoWave is looking for a dynamic, agile person to complete our team as Senior Quality Engineer. The role involves auditing current coverage, defining target-state automation architecture, and building UI, API, and database coverage. You will embed in Agile squads as QE lead, coordinating onshore/offshore QE and working alongside the development team.

• Audit current coverage, tooling, and process, and identify where the real risk sits rather than where testing is easiest
• Define the target-state automation architecture and a staged path to it, sequenced by risk, including proofs of concept, and recommending against tools that do not earn their cost
• Build the case for change and secure buy-in from engineering, product, and leadership
• Close testability gaps that block automation, like unstable environments, non-deterministic data, missing seams, with engineering
• Design and build UI (Selenium, Playwright, BrowserStack), API, and database coverage, including regression and contract testing, in Python where we start fresh, in JavaScript/Typescript or C# where tests belong beside existing code
• Validate data at rest with SQL and NoSQL, and validate data-layer change: migrations, parity checks, behavioral equivalence
• Integrate suites into CI/CD as enforced quality gates: run performance and load testing, including async and queue-based paths
• Conduct security testing and partner with security engineering to validate findings and verify remediation
• Keep test infrastructure portable (containerized runners, self-hostable grids) and own test data management: masking, synthetic generation, and controlled access for teams handling subscriber and billing data
• Use AI tools to generate and maintain tests, apply AI-assisted log analysis and defect clustering, and deliver enablement with honest ROI recommendations
• Build quality dashboards and executive release reports with clear go/no-go recommendations
• Embed in Agile squads as QE lead, coordinate onshore/offshore QE, mentor through pair testing and review, and work alongside the development team

• Degree in Computer Science, MIS, Software Engineering, or equivalent experience
• 4+ years in software quality engineering, including owning test strategy across more than one layer (UI, API, or data)
• Built or substantially rebuilt automation where little existed, not only extended a mature suite someone else designed
• Hands-on automation with Selenium or Playwright, plus API test automation
• Test automation in Python, our preferred language for the new estate. Strength in JavaScript/Typescript or C# with a willingness to work in Python is equally fine
• Comfortable with SQL, and able to validate data at rest rather than only through the UI
• Integrating test suites into CI/CD pipelines
• Routine use of AI coding and testing tools, with a clear view of where they help and where they don't
• A track record of getting a tooling recommendation adopted by people who did not report to you
• Clear communication with non-technical stakeholders, including release recommendations you can defend
• Fluent in English - written and spoken (mandatory)
• Availability to work in an Hybrid model in one of our offices

• Making test suites blocking gates in CI/CD rather than advisory checks
• Performance and load testing (JMeter, k6, Gatling, or similar)
• Self-hosted test infrastructure (containerized runners, self-managed grids) and infrastructure-as-code for repeatable test environments
• Contract testing (Pact or similar) and event-driven systems: Kafka, RabbitMQ, NATS
• Data migration testing: parity validation and behavioral equivalence for converted database logic
• Test data management at scale: masking, synthetic generation, regulated personal data
• Go, useful for exercising Go services, though the suite itself would not be written in Go
• Observability data (logs, metrics, traces) as a primary triage input
• Telco experience: BSS/OSS, provisioning, billing, or network data

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