Job Description

Great ranking is what turns a search into a find.

A shopper finding the right product immediately is a strong signal. But retailers also want to inspire discovery, increase product exposure, and showcase more of their assortment, and help shoppers discover relevant products beyond their initial search. Balancing those goals is one of the challenges you’ll help us solve.

Our ranking engine is built in-house. It analyzes large product catalogs and behavioral datasets while returning results in tens of milliseconds.

About the role

As a Senior Software Engineer in Ranking & Recommendations, you’ll together with the team own the logic that determines what shoppers see - and in what order - across product recommendations and personalized rankings in Voyado’s Product Discovery Engine.

Day to day, you’ll combine hands-on development with system-level thinking. You’ll connect algorithmic improvements to the wider product: response times, downstream systems, testability, rollout strategy, and measurable customer value.

Some of the things you’ll be up to

• Build and evolve ranking capabilities and the production services that power them, primarily in Java and partly in Python
• Design and fine-tune algorithms for personalized ranking and product recommendations
• Build systems that combine behavioral, customer-provided, and other ranking signals dynamically
• Design, run, and evaluate A/B tests
• Automate test flows
• Contribute to architectural decisions and the team’s technical roadmap
• Evaluate how new capabilities affect latency, scalability, reliability, and surrounding systems
• Turn technically complex features into clear, testable increments that can be brought to market

So, who are you?

You’re an experienced software engineer who enjoys algorithmic problems but naturally looks beyond the algorithm itself. You think about how a change behaves as part of a larger production system - and what it means for performance, testing, maintainability, and customer value.

You bring architectural experience and you're comfortable creating structure where the path is not yet obvious, and you have the persistence to move difficult problems forward. You collaborate openly, welcome feedback, and create momentum around ideas.

Just as importantly, you’re curious about whether the system is optimizing for the right outcome - not only whether the implementation works.

We believe you have:

• Excellent programming skills and a strong understanding of data structures
• Familiarity with concurrent programming
• A solid understanding of fundamental algorithms
• Strong object-oriented programming skills
• Experience designing or evolving production systems from an architectural perspective
• Experience working with a cloud platform such as AWS, Azure, or Google Cloud

It’s a plus if you have:

• Worked with machine learning, embeddings, or LLMs in production
• Experience with low-latency, high-throughput services

Why join Ranking & Recommendations?

You’ll work at the forefront of ranking and recommendation development on technology that directly shapes how shoppers discover products.

The team is small and autonomous. You won’t simply receive a finished specification - you’ll help decide what to build, how to build it, and how to measure whether it creates the right outcome. Your work will operate at meaningful retail scale, where milliseconds matter and algorithmic decisions have a visible impact on both shopper behavior and commercial results.

You’ll also have the opportunity to broaden the team’s architectural perspective and help turn deep technical innovation into reliable, market-ready capabilities.

Some of the technologies you’ll work with

• Java & Python
• Ranking and recommendation algorithms
• A/B testing and experimentation
• Machine learning, embeddings, and LLMs
• AI-assisted development tools
• Microservices
• AWS

And when you need a break, you can spend some time in our office gym, explore the puzzle corner, or challenge our Åre office in Call of Duty on the PlayStation 5. 🎮

So, what's in it for you? 🍬

Voyado Elevate wouldn’t be the powerful platform it is without the people behind it. We care about you, and some examples of what we can offer you are:

• A lovely worksite in Lund, we just opened our Voyado house on Gasverksgatan.
• Flexible working hours and a hybrid work approach. We're on-site at least three days a week
• Work-life balance – We don't have a long work-hours culture; we value results over hours worked
• As we strive for our employees to share Voyado’s passions and goals, you should demand no less from us. With regular one-on-ones, we make sure your needs and career have a great future at Voyado
• Joining an engaged team and colleagues with a knowledge-sharing and friendly culture

Some of our benefits:

• A health hour each week, use it for walks, running, or working out – whatever you need to energize
• Our own gym at the office
• 30 days of vacation so that you can spend time with family and friends
• 5000 SEK in wellness allowance
• Encouragement to further develop personally and professionally with certifications, meetups, etc.
• Beneficial bike lease, including e-bikes
• Your choice of phone and gadget package

Be yourself 🏳️‍🌈

At Voyado, we believe in gender equality. We are proud sponsors of Womengineer as well as Tjejer Kodar! Read more about Tjejer Kodar & Voyado here

Equality is not only about gender but also about making everyone feel welcome and heard in a multicultural and diverse environment, We at Voyado strive to make everyone feel like they can bring their true self to work every day.

Ready to find out more?

Lovely! 🎉

Before one applies it can always feel like you need a better resume, more polish, or just another year of experience, but we say if you think this sounds like a place where you can shine don't hesitate to send in your resume!