Lucanet Group
SaaS
SeniorQAAutomationEngineer
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“Senior QA Automation Engineer at Lucanet Group. Skills: QA Automation, Quality Engineering, Developer-led testing, AI-assisted QA, TypeScript, Playwright, Java, CI/CD. Act as a hybrid quality champion within the engineering department. Bridge the gap between manual and automated testing”
What You'll Achieve.
Simplify and automate critical finance processes; Ensure reliability, scalability, and data correctness; Implement a robust 'developer-led testing' methodology; Empower developers to write their own tests; Reduce quality risk; Scale quality efforts with products and teams
Industry & Context.
Analytical mindset; Ability to challenge existing processes; Ability to propose new ideas; Ability to drive ideas through to adoption; Identify what's holding quality back
What They're Looking For.
Must Have
5+ years of experience in QA automation and quality engineering, Extensive experience in QA automation, specifically with TypeScript and Playwright (including Playwright MCP or CLI), Solid understanding of how to test in a Java, Hands-on experience with CI/CD pipelines (e.g. GitHub Actions, GitLab CI, or Jenkins) and with implementing pipeline strategies to run tests efficiently, Demonstrated experience using AI coding tools (such as Cursor or Claude) for agentic test generation, Experience in designing AI rules and skills that turn requirements into tests, including self-healing tests or AI-driven test maintenance, Familiarity with monitoring and observability tools (such as Sentry or Grafana) and experience using production data to drive quality decisions, understanding of testing strategies, architecture, and modern quality engineering methodologies, including shift-left and developer-owned testing approaches, Experience testing complex, data-heavy enterprise software, ideally in financial, accounting, or consolidation platforms, coaching and mentoring skills, with experience pairing with engineers, leading knowledge transfer, and building testing capability across teams, communication skills, experienced in working with engineering managers, product managers, designers, developers, and QA leads to align on quality goals, A proactive and analytical mindset, with the ability to challenge existing processes and how AI is changing them, propose new ideas, and drive them through to adoption
Nice to Have
AWS experience, Previous experience driving QA transformations, for example shifting test ownership toward the development team, introducing AI into test workflows and frameworks, or evolving teams from manual to automated testing, is a plus
What You'll Do.
Act as a hybrid quality champion within the engineering department
Bridge the gap between manual and automated testing
Lead the transition toward a highly automated
AI-assisted QA environment
Empower engineers to own quality end-to-end through pair programming
and knowledge transfer sessions
Build confidence and testing capabilities across the team
Work across backend services and frontend applications
Enhance Test Automation Frameworks
Build and evolve automation across the full test pyramid
Implement Agentic Test Generation
Develop and maintain agents that generate
and instructions that translate requirements and implementations into test cases
Monitor Post-Release Health
Establish and use monitoring tools to track production health and detect issues early
Drive Quality Engineering
Continuously evaluate and challenge our testing approach across architecture
Identify what's holding quality back
Experiment with new approaches
Shape a cross-team strategy
Lead the rollout that reduces quality risk and scales with our products and teams
How You'll Work.
Team & Collaboration
Work closely with product managers, designers, developers, engineering managers, team leads, and the wider QA team to align on quality objectives; Collaborate with a wider QA community of seven automation engineers; Work closely with other product areas within Consolidation Financial Planning and the Data Platform team; Pair programming with engineers; Pair testing with engineers; Knowledge transfer sessions with engineers; Collaborate with engineering managers, product managers, designers, and QA leads
Communication Scope
Experienced in working with engineering managers, product managers, designers, developers, and QA leads to align on quality goals
Process & Methodology
Driving QA transformations, Implementing pipeline strategies, Shaping a cross-team strategy, Leading rollout of new approaches
Full Job Description
About us Lucanet is the CFO Solution Platform built for modern finance & tax teams, offering an integrated suite of solutions to simplify and automate their most critical finance processes. More than 6,000 companies around the world rely on our easy-to-use, out-of-the-box SaaS platform - from consolidation and financial planning to tax compliance and reporting, ESG reporting, banking and cash management, and more. PE-backed and growing our footprint across global markets. Behind the platform is a global team of 850+ people who care about doing the work well. We challenge each other to push boundaries, move fast without cutting corners, and build solutions that genuinely change how finance & tax leaders operate. If you're looking for a place where your work has real reach - and where your growth is part of the deal - this is it. Discover more about Lucanet as an employer. The Role We are seeking a Senior QA Engineer to act as a hybrid quality champion within our engineering department. In this position, you will bridge the gap between manual and automated testing, leading the transition toward a highly automated, AI-assisted QA environment. You will join a cross-functional product team that owns one of the most foundational capabilities of the Lucanet platform. It's where the platform starts: the team brings large volumes of customer data into Lucanet, organizes it into reporting entities, and that's what unlocks the entire platform for our customers. This capability underpins month-end closing and financial reporting for our customers. The team works closely with other product areas within Consolidation Financial Planning and the Data Platform team to ensure reliability, scalability, and data correctness. From a quality perspective, this area comes with real complexity: high data volumes, complex business rules, and strong expectations around accuracy. The team is actively evolving how quality is owned, moving from traditional QA towards quality engineering and deve
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