Description

Senior Software EngineerAt Migros Online, we build search and discovery systems powering one of Switzerland's largest online grocery platforms. Our team is evolving into a core platform team owning search and recommendations company wide. As an engineer, you'll design, experiment, and ship high-impact solutions shaping how millions discover products.Wichtige Hinweise: You have the option to be based in ECUBLENS (VD) instead of Zurich if that is your preference.What impact do you have?Design, build, and evolve our search, discovery, and recommendation systems, with a strong focus on Elasticsearch, relevance, and backend services.Take ownership of search and recommendation topics where requirements are still emerging, structuring them into experiments, POCs, and MVPs and iterating based on measurable results.Evaluate and apply different solution approaches - from heuristics and data-driven techniques to ML-assisted methods - based on impact, complexity, and maintainability.Collaborate closely with Product Managers, Engineering Managers, Data Analysts, and other engineers to balance technical feasibility, data insights, and customer value.Act as a T-shaped engineer: strong in your domain, curious about adjacent topics, and happy to collaborate beyond your comfort zone.Influence how we work by contributing to and improving practices such as pair programming, trunk-based development, CI/CD, and TDD/BDD.What do you offer?Education: Completed degree (university / university of applied science / higher technical college) Computer Science / ITExperience: 5+ years' experience in software development in modern, agile environments; real-world engineering experience delivering production systemsStrong engineering skills: you design & build maintainable, well-tested systems applying sound design principles; exp. with tech stack (Java 17+, Spring Boot (WebFlux), Project Reactor, Elasticsearch, Microservices, REST APIs, Lombok, Jackson, Maven)Experience navigating unclear problem spaces and making pragmatic trade-offs to deliver value iteratively.Hands-on experience with applied ML concepts such as embeddings, basic model training, or ranking approaches - ideally gained through experimental setups, MVPs, or POCs.Strong analytical mindset with experience deriving insights from experiments, metrics, and real production signals.A collaborative mindset - you've worked closely with engineers, product, and data roles and enjoy sharing knowledge and feedback.Clear communication skills - you're comfortable discussing ideas and trade-offs with engineers, product, and data roles.English (B2)German (ADVANTAGEOUS)French (ADVANTAGEOUS)What do we offer you?Central working location: Offices close to the train station, in the center of ZurichMobile flexible working model: Work at home or in different locations with flexible schedule based on your positionMaternity/paternity leave: 18-week maternity leave paid at 100% and 4-week paternity leave paid at 100%Catering: A company restaurant is available for employees to eat at preferential ratesCumulus points: Benefit from additional Cumulus pointsIndividual continuing training: We value your development and participate in your growth and offer a budget for itPersonal responsibility & freedom: We value direct communication and involve our employees in the decision-making processSports and fitness offers: We value your health and offer CHFper year when taking out a sports subscriptionOnly online applications can be accepted on the applications portal.Recruitment processSubmit application documentsPersonal video or telephone callTechnical interviewGetting to know the teamOffer & issuance of the contract (digital)ContactMs. Katharina HöttermannTalent Acquisition PartnerNo suitable vacancies?Set up a search subscription to ensure you receive suitable job vacancies conveniently by e-mail. Set up a job subscription jide870863a jit0208a jiy26a