Senior Fullstack Engineer
SwedenCompetitive0 applicants
About this role
TV4 and MTV Finland are jointly building the next generation of streaming and media technology for millions of daily users. Together, we’re transforming our Nordic technical ecosystem, moving from traditional integration platforms toward domain-owned, modern service layers that handle both business logic and integration at scale.
We are now looking for a Senior Fullstack Engineer who wants to play a key role in this transformation and help evolve the systems that power our content planning, scheduling, and delivery pipelines, critical components in both broadcast and streaming operations across Sweden and Finland.
Responsibilities
- As a senior engineer in our cross-Nordic team, you will take long-term ownership of a strategic domain within our content delivery and planning ecosystem. The planning system you’ll work with serves as the central hub of our broadcast operations, tightly connected to downstream systems such as scheduling, production workflows, metadata distribution, and content delivery platforms.
- Your work will be backend-heavy, but you’ll contribute across the stack when needed. Over time, you will help drive the shift from our current iPaaS-based integration setup to domain-driven architecture, building modern services with strong boundaries, clear contracts, improved reliability, latency, and team autonomy.
- In the first 6–12 months, you’ll own an existing solution while leading incremental decoupling from legacy integrations, improving observability, operational workflows, and the overall developer experience.
- What you’ll do
- You will play a central role in evolving the systems that ensure seamless content planning, scheduling accuracy, and reliable delivery across multiple broadcast and streaming endpoints. Your day-to-day work will include:
- Designing, building, and maintaining scalable backend services, APIs, and domain-driven components with a strong focus on performance, security, and operability.
- Ensuring robust, high-throughput data flows that support rea