DevOps Engineer (m/f/d) at Sportradar

Ljubljana, Central Slovenia, Slovenia -

Full Time

Start Date

Immediate

Expiry Date

14 Jun, 26

Salary

0.0

Posted On

16 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kubernetes, Cloud Infrastructure, AI Workloads, Platform Engineering, ArgoCD, Helm, Grafana, Prometheus, Infrastructure as Code, Python, Go, Bash, CI/CD Pipelines, GitOps, Containers, Automation

Industry

Information Services

Description

Company Description We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business. Job Description ABOUT US: Join our AI DevOps team and help build the infrastructure and tools that allow AI engineers and data engineers to run AI applications at scale. You will work alongside experienced engineers to develop and operate a platform built on Kubernetes and cloud infrastructure, supporting AI workloads across the organization. This role is ideal for engineers who are interested in learning about cloud infrastructure, Kubernetes, and platform engineering while helping teams run AI applications reliably and efficiently. THE CHALLENGE: Support the development and operation of our Kubernetes-based platform running in the cloud. Assist in building and maintaining frameworks and tooling that simplify how AI and data teams deploy and operate applications. Contribute to GitOps deployment workflows using tools such as ArgoCD and Helm. Help maintain the monitoring and observability stack using Grafana and Prometheus. Assist in automating infrastructure using Infrastructure as Code. Contribute to improving the reliability, scalability, and cost efficiency of the platform. Collaborate with engineers across AI and data engineering teams to support their workloads. ABOUT YOU: You have experience building or working with software systems and are interested in how applications run in production environments. You are curious about cloud infrastructure, Kubernetes, and automation. You have some familiarity with containers, CI/CD pipelines, or cloud platforms. Experience with any cloud platform (AWS, GCP, Azure, or similar) is a plus. You have experience with at least one programming or scripting language such as Python, Go, or Bash. You enjoy learning new technologies and working with engineers across different disciplines including AI, data engineering, and platform teams. You are motivated to help build tools and platforms that simplify how teams deploy and run AI applications. NICE TO HAVE: Basic familiarity with: Docker and containerization Kubernetes CI/CD pipelines GitOps tools such as ArgoCD Helm charts Grafana or Prometheus Terraform or Infrastructure as Code Machine learning or data platforms OUR OFFER: A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding. Flexibility to manage your workday and tasks with autonomy. A balance of structure and autonomy to tackle your daily tasks. Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. Global Employee Assistance Programme. Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). Online training videos. Flexible working hours. While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation—both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a hybrid model, with team members working in the office three days a week to build relationships, exchange ideas, and grow together. OUR RECRUITMENT PROCESS: Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. Technical Interview: Meet with the Technical team and later with the Hiring Manager. Onsite Interview: Meet with the local team and take a tour of our office for a final meet-and-greet. Finals Steps: Receive feedback and, if successful, an offer! Additional Information At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!

Responsibilities

The role involves supporting the development and operation of a Kubernetes-based platform running in the cloud, focusing on building and maintaining tooling to simplify application deployment for AI and data teams. Responsibilities include contributing to GitOps workflows, maintaining observability stacks, and automating infrastructure using Infrastructure as Code.