Senior Test Automation Engineer – ML-Powered Network Optimization

Stack

Responsibilities

• ▹Own and evolve the test strategy across the entire development lifecycle
• ▹Design, implement, and maintain scalable automated test suites (functional, integration, performance, reliability, security) for cloud-native microservices and ML components using Robot Framework and complementary tools
• ▹Integrate automated tests into CI/CD pipelines to enable fast, reliable delivery and strong production observability
• ▹Collaborate in agile, cross-functional teams to influence architecture, design, and release quality decisions
• ▹Help deploy, configure, and operate Kubernetes + Helm based microservices in test and production-like environments
• ▹Investigate and resolve complex technical issues; propose and implement elegant, automated solutions
• ▹Produce and maintain clear product and security documentation, advocate testability and observability best practices
• ▹Continuously improve the product, processes, and test automation platform

Requirements

• ▹Proven experience (5+ years) building and maintaining automated test suites for microservices or in backend development; Robot Framework experience highly desirable
• ▹Hands-on experience with CI/CD tooling (Jenkins, Spinnaker, or similar) and integrating tests into pipelines
• ▹Practical experience with Docker, Kubernetes, Helm, REST APIs, and containerized deployments
• ▹Strong understanding of TDD, integration testing strategies, and production observability practices
• ▹Solid programming/scripting skills (Python, Bash, or similar) to design reusable test frameworks and utilities
• ▹Excellent communication skills; curious learner and supportive team player who enjoys mentoring and knowledge sharing
• ▹Familiarity with Agile software development methodologies

Nice to have

• ▹Background in telecom/RAN domains or experience with network automation tools
• ▹Experience with testing frontend (Playwright), ML components, or data pipelines
• ▹Familiarity with WireMock
• ▹Insight into challenges around ML lifecycle, evaluation, and model monitoring

Soft skills

What we offer

• ▹Work at the intersection of ML, cloud-native software, and RAN automation — a high-impact area
• ▹Influence product architecture and quality practices from day one, collaborating with engineers, data scientists, and product owners
• ▹Continuous growth in an environment that values learning, experimentation, and knowledge sharing
• ▹Diverse, inclusive team where different perspectives drive innovation
• ▹Cafeteria benefits (gross 840,000 HUF/year), annual bonus, life-event benefits
• ▹Employee Assistance Program, life and accident insurance, wellbeing activities
• ▹Company share purchase plan, referral program, All You Can Move partner
• ▹Trainings, workshops, conferences, language courses
• ▹Modern office in the 11th district, hybrid working, laptop and mobile phone
• ▹Free underground parking, bicycle storage, showers, and lockers

About the company

Ericsson's RAN automation rApps are revolutionizing the network management and optimization software landscape, enabling the automatic evolution, deployment, optimization, and healing of networks. The team works cross-functionally on cloud-native rApps based on ML-enabled architecture.