Contentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers’ whole online journey.We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We’re here to stay—and we’re looking for team members who are excited to drive impact and help us scale even further.Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler—for our customers, their customers, and each other.Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. For more information, visit our careers blog.The Quality Team is seeking a highly skilled and technically proficient individual to become a technical owner of quality intelligence and tooling within our dynamic team. In this role you will be a key technical contributor shaping how quality signals, insights, and tooling are surfaced across the organization, and defining the future of our Quality Framework. You will closely work with technical experts to design, scale , and evolve shared quality frameworks and automation enablers used by product teams, while reporting to your Engineering Manager.What you'll do:
- Architect, Develop, and Extend our quality platforms & tooling: Work with scalable and maintainable platforms, automation enablers, and services that integrate seamlessly with our development and CI/CD pipelines.
- Provide technical leadership, mentoring, and enablement to engineers across the organization, fostering a culture of continuous improvement and high performance without direct people management.
- Drive our vision of Quality Intelligence by designing and building AI-assisted quality tooling, leveraging LLM prompt engineering, agent-based systems, MCPs, and other emerging enablers.
- Generate and Automate detailed reports and metrics on test coverage, execution, and outcomes, providing insights to stakeholders and driving data-driven decisions.
- Define, standardize, and monitor quality KPIs and indicators enabling teams to make data-driven quality decisions.
- Enable and evolve testing environments and tooling, ensuring strong alignment with production environments to guarantee accurate test results.
What you’ll need to succeed:
- 10+ years of experience in software engineering, with significant experience building quality, testing, or reliability-related systems.
- Strong proficiency in TypeScript/JavaScript, with growing or established experience in Python, and a track record of building and maintaining production-grade backend systems or internal platforms. development.
- Experience building or integrating AI-assisted systems, including practical use of LLMs, prompt engineering, agent-based workflows, or similar techniques in real-world tooling.
- Knowledge of CI/CD tools (e.g., ArgoCD, GitLab CI).
- Experience with performance testing, security testing etc.
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes), as well as databases and datastores (SQL, NoSQL, etc.), particularly in support of internal platforms and tooling.
- Past experience with observability, SLOs, and reliability engineering is a plus
What makes you stand out:
- An “initiator” of ideas and direction, comfortable shaping problems as well as solutions.
- Strong analytical and problem-solving skills.
- Experience in driving strategy and architecture for quality platforms, tooling, or internal systems at scale.
- Background working with test automation frameworks, providing the context needed to build effective quality platforms and enable product teams.
- Excellent communication and interpersonal skills.
- Ability to work collaboratively in a fast-paced, dynamic environment.
- Strong organizational skills with the ability to manage multiple priorities.
- A preference for data-driven decisions and observability.