You’ll help decide how solutions are built, from design through production. Our platform assembles complete, accurate records from many partial sources and processes nearly half a million events daily, with peak days exceeding 2 million.
- Build and evolve our metadata platform, from ingestion and enrichment to APIs and near real-time distribution.
- Own solutions end to end: understand the problem, shape the approach, implement, test, deploy, and keep improving them in production.
- Contribute to technical decisions, balancing delivery, reliability, security, cost, and maintainability.
- Work across backend services and AWS infrastructure, including deployment pipelines, runtimes, and observability. We follow "you build it, you run it", with support from teammates and specialist cloud/DevOps colleagues. On-call is available for those who want it but is not required.
- Build agentic AI capabilities for our platform and workflows, and make them reliable, secure, and useful in practice.
- Use AI-assisted development throughout your work, applying your engineering judgment to validate the results and owning what you ship.
Our stack is mainly Kotlin (with some Java) and Spring Boot, with Python for our agentic AI work. We run on AWS with Terraform, SQL/NoSQL databases, SNS, SQS, and Kinesis. You don’t need experience with every part, but you should be comfortable learning beyond your immediate area of expertise. As you learn the platform, your scope and technical influence can grow across backend, cloud, and AI.
What will help you thrive in this role:
You enjoy taking solutions from idea to production, have an ownership mindset, and care how software behaves after deployment, including working with infrastructure, observability, and troubleshooting.
- Solid experience building and maintaining production backend systems, ideally in Kotlin or Java.
- A good understanding of APIs, databases, distributed systems, testing, and secure development, with sound judgment about when a straightforward solution is best.
- An ownership mindset: you care how software behaves after deployment and are happy to work with infrastructure, observability, and troubleshooting.
- Hands-on, critical use of AI-assisted development, and an interest in connecting AI capabilities with real systems in production.
- Fluency in English, with clear communication and a collaborative approach to discussing trade-offs, solving problems, and sharing knowledge
Experience with AWS, event-driven architectures, and infrastructure as code is a plus, as is experience integrating LLMs, building agents, or operating AI-enabled systems. You don’t need to be an AI specialist. You also don’t need to tick every box: we care about your engineering foundation, sound judgment, and ability to follow through, not an exact match against every technology.
Join us to shape smarter living for people, businesses, and the planet
At Telia, we’re a team of 15 000 colleagues across the Nordics and Baltics, passionate about technology and connectivity. As a Leading Telecommunications Operator & Climate Leader, we drive change with large-scale, impactful projects while building a sustainable, inclusive world.
Here, you can grow your skills, lead meaningful projects, and thrive in a supportive, diverse environment. Whether you’re taking your first step or your next, Telia is a place to grow, belong, and make a real impact.
