Senior Software Engineer

At 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.

You have the option to be based in ECUBLENS (VD) instead of Zurich if that is your preference.

We welcome all applications, but can only consider applications submitted online. Applications submitted by post will be disposed of for data protection reasons and will not be returned.

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.

Secondary tasks

Collaborate closely with Product Managers, Engineering Managers, Data Analysts, and other engineers to balance technical feasibility, data insights, and customer value.

Secondary tasks

Act as a T-shaped engineer: strong in your domain, curious about adjacent topics, and happy to collaborate beyond your comfort zone.

Secondary tasks

Influence how we work by contributing to and improving practices such as pair programming, trunk-based development, CI/CD, and TDD/BDD.

Computer Science / IT

Mandatory

Strong engineering skills: you design & build maintainable, well-tested systems applying sound design principles; exp. with tech stack (Java 17+, Spring Boot (Web Flux), Project Reactor, Elasticsearch, Microservices, REST APIs, Lombok, Jackson, Maven)

Mandatory

Experience navigating unclear problem spaces and making pragmatic trade-offs to deliver value iteratively.

Mandatory

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.

Offices close to the train station, in the center of Zurich

Work at home or in different locations with flexible schedule based on your position

18-week maternity leave paid at 100% and 4-week paternity leave paid at 100%

A company restaurant is available for employees to eat at preferential rates

Benefit from additional Cumulus points

We value your development and participate in your growth and offer a budget for it

We value direct communication and involve our employees in the decision-making process

We value your health and offer CHF 250.

- per year when taking out a sports subscription

Talent Acquisition Partner

For a complete application, we require your CV, certificates, and diplomas. A photo in the CV and a cover letter are not necessary.

We are committed to equal opportunities for all applicants. We follow a standardized recruitment process. If this does not work for you, please mention it in your application documents.

Personal video or telephone call

In the event of a large number of applicants, we may conduct a personal telephone or video call.

This gives us the opportunity to get to know more candidates better within a short space of time, with a view to inviting suitable people to the next round.

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