Senior DevOps Engineer Job

SportAI is seeking a Senior DevOps Engineer to join our core technology team in Oslo. The ideal candidate will be a hands-on engineer with deep experience in infrastructure as code, observability, and scalable distributed systems, and who thrives on building robust environments for cutting-edge AI workloads.

As a key member of our engineering team, you will own the backbone that powers our AI analysis stack, from cloud infrastructure and orchestration to CI/CD pipelines and telemetry systems.

This is a rare opportunity to work on real-time computer vision and machine learning systems at scale, pushing the limits of what’s possible in sports technology.

About us

SportAI is an innovative sports technology company specializing in AI-powered analytics for the sports industry. Our platform delivers instant and precise computer-vision-based analysis in racket sports: tennis, padel, and pickleball, empowering athletes and coaches worldwide.

We are expanding rapidly and looking for a DevOps expert who can help us scale our AI services, optimize our infrastructure, and ensure reliability across global deployments.

Our highly technical team of 12 includes AI engineers, backend and frontend developers and data specialists working alongside sporting and commercial expertise to push the boundaries of what’s possible in computer vision and sports analytics. We operate at the intersection of machine learning, cloud infrastructure, and real-time performance.

This role is critical in helping us evolve from a strong foundation to a world-class, large-scale production system — enabling the next leap for AI in sports. If you’re a builder who thrives in fast-moving environments and loves solving hard problems, we want to hear from you.

Responsibilities

Design, build, and maintain scalable, fault-tolerant infrastructure for real-time AI and video analysis workloads.
Develop and maintain Infrastructure-as-Code solutions (Terraform/Pulumi, CloudFormation, etc.).
Optimize CI/CD pipelines, including Docker, GitHub Actions, and AWS Fargate-based workflows.
Implement and maintain observability and telemetry systems (Grafana, Prometheus, OpenTelemetry).
Collaborate closely with the AI / backend team to ensure high availability, performance, and cost-efficiency.
Drive infrastructure automation, including auto-scaling, load balancing, and GPU orchestration.
Champion DevOps culture across the company — from developer experience to production reliability.

Requirements

4+ years of professional experience in DevOps, Site Reliability, or Cloud Infrastructure Engineering.
Expert knowledge of Terraform/Pulumi or other IaC frameworks.
Proven Experience on AWS (Fargate, ECS, ECR, S3, CloudWatch, IAM, Lambda, etc.).
Deep understanding of containerization (Docker) and orchestration (ECS, Kubernetes, or equivalent).
Experience with CI/CD pipelines and automated testing workflows.
Strong skills in Linux administration, networking, and security best practices.
Proficiency in at least one scripting language (Python, Bash, Go), preferably Python.
Experience building and maintaining monitoring and alerting systems.
Strong communication skills and a pragmatic, collaborative mindset.
Ideally located in Oslo or within daily commuting distance.
Excellent English communication skills – both written and spoken.