Software Engineer in Test (Hybrid set up)

Quality is not a checkpoint — it is a competitive advantage. At iptiQ, we believe that great quality engineering is what allows teams to move faster, release with confidence, and build products that truly matter. If you are passionate about making testing smarter, more scalable, and more impactful, this is your opportunity to shape the future of quality engineering in one of the most innovative corners of the insurance industry.

About the Role

We are on a mission to build highly reliable, lightning-fast, and deeply configurable quality gates and test suites that support rapid product development — without ever compromising on quality. As a Software Engineer in Test, you will be at the heart of this mission, helping evolve our quality engineering platform by combining modern test automation, CI/CD best practices, quality metrics, and AI-powered testing capabilities.

You will work closely with engineering, product, and domain teams to embed quality throughout the entire development lifecycle — removing bottlenecks, closing coverage gaps, and ensuring that speed and quality grow together, not at each other's expense.

Key Responsibilities

• Build and evolve robust end-to-end automated test suites in close collaboration with product, domain, and engineering teams, ensuring new functionalities are delivered with high quality, strong integration, reliable performance, and cost-efficient execution.


• Shape and implement our quality engineering strategy by improving test reliability, execution speed, scalability, configurability, and resilience — with a strong focus on reducing flakiness and making test suites easier to adapt across products, markets, and environments.


• Contribute to AI-powered quality and testing solutions that help teams test smarter, detect risks earlier, improve failure analysis, and increase confidence in release readiness.


• Strengthen transparency around quality by improving test reporting, coverage visibility, quality metrics, and traceability of test outcomes — providing engineers and stakeholders with clear and actionable insights.


• Support the continuous evolution of CI/CD pipelines by integrating efficient automated tests, removing bottlenecks, and promoting shift-left testing practices throughout the development lifecycle.


• Complement automation with manual, exploratory, and regression testing where needed to validate complex flows, uncover edge cases, and ensure a high-quality user experience.

About the Team

iptiQ is not just an insurance company — we are at the forefront of integrating technology into the life and health insurance space. Our quality engineering team is a group of curious, driven professionals from diverse technical backgrounds, united by a shared goal: to make a lasting impact on customers globally.

We build and maintain the quality infrastructure that powers iptiQ's large-scale SaaS platform — a cloud-native, multi-tenant environment running on AWS, using Java, SpringBoot, Docker, Kubernetes, Apache Kafka, MongoDB, and PostgreSQL on the backend, and ReactJS and TypeScript on the frontend. Our CI/CD pipeline runs on GitLab, and we leverage Prometheus, ElasticSearch, Kibana, and Grafana for logging and monitoring. End-to-end API testing is performed using Java and GraphQL, UI testing with JavaScript, TypeScript, and Cypress, and performance testing with Gatling.

From revolutionizing underwriting processes to creating user-centric digital health tools, our engineers are at the heart of iptiQ's mission to transform how insurance products are developed and delivered — and quality is the thread that runs through all of it. 

About You

You are someone who sees quality not as a gate, but as a mindset. You thrive in fast-paced, evolving environments where ambiguity is part of the journey, and you bring both technical rigour and strategic thinking to everything you do. You communicate openly, collaborate naturally, and are genuinely excited about shaping how teams think about and practice quality.

We are looking for candidates who meet these requirements:

• Proficiency in Java and/or Kotlin with demonstrated experience writing clean, maintainable, and scalable test code in a professional engineering context.


• Hands-on experience with JavaScript and TypeScript, including the use of Cypress as a test automation framework for end-to-end UI testing.


• Experience with performance testing tools, specifically Gatling, and a solid understanding of how to design and execute meaningful performance test scenarios.


• Familiarity with containerisation technologies, particularly Docker, and experience working within CI/CD pipelines (e.g., GitLab) to integrate and optimise automated test execution.


• Strong analytical and problem-solving skills, with a proactive, engineering-first approach to identifying, diagnosing, and resolving testing challenges across complex distributed systems.

These are additional nice to haves:

• Experience with AI implementations in a testing or quality engineering context (e.g., AI-assisted test generation, failure analysis, or risk prediction).


• Knowledge of mock services and service virtualisation techniques.


• Background in financial services, particularly insurance or life & health products.


• Experience working with microservices architectures and complex, distributed systems.


• Familiarity with testing management and reporting tools such as TestRail or Allure.


• AWS experience, particularly in testing infrastructure (EC2, Lambda, S3, etc.).


• Understanding of Kubernetes and broader containerisation ecosystems.


• Exposure to Event Modeling, Data Mesh, or AI for testing methodologies. 

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week. 

For Spain the base salary range for this position is between EUR 42,000 and EUR 70,000 (for a full-time role). The specific salary offered considers:

• the requirements, scope, complexity and responsibilities of the role,


• the applicant’s own profile including education/qualifications, expertise, specialisation, skills and experience.

In the situation where you do not meet all the requirements or you significantly exceed these, the offered salary may be below or above the advertised range.

In addition to your base salary, you may be eligible for additional rewards and benefits including an attractive performance-based bonus.