Senior DevOps Engineer at Datatonic
Datatonic Nordics AB / Datajobb / Stockholm
2026-01-05
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Shape the Future of AI & Data with Us
At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.
Your Mission
As a Senior DevOps Engineer, you will play a key role in establishing and enhancing DevOps practices within our clients' organisations.
We are looking for a proactive and skilled professional who thrives in a dynamic, technology-driven environment and is eager to contribute to the growth and innovation of an established scale-up. This role offers the chance to apply your expertise and grow your career while making a tangible impact on cutting-edge projects.
What You'll Do
Pipeline Development: Collaborate with clients to design and implement robust DevOps pipelines
Best Practices Advisory: Provide expert advice to customers on DevOps best practices
Function Optimisation: Establish and enhance DevOps functions within clients' organisations
Stakeholder Engagement: Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery
What You'll Bring
DevOps Experience: 3+ years of experience in the DevOps field or as a Software Engineer
Programming Skills: Proficiency in Python, Java, or Go programming languages
CI/CD Expertise: In-depth knowledge of CI/CD tools and processes
Tech Enthusiasm: Strong passion for technology and a drive to continuously learn
Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts
Bonus Points If You Have:
Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environment
Containerisation/Virtualisation Expertise: Proficiency with technologies such as Terraform and Kubernetes
SRE Principles: Experience in implementing Site Reliability Engineering (SRE) principles
Cloud Native Architecture: Hands-on experience with cloud-native architectures, ideally on Google Cloud
Client-Facing Role: Prior experience in a client-facing position
SDN Knowledge: Understanding of Software Defined Networking (SDN) on Google Cloud
Applicant should have a University Degree in Computer Science or equivalent qualification.
What's in It for You?
We believe in empowering our team to thrive, with benefits including:
Holiday: 30 days holiday (plus public holidays)
Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation)
Pension: Private Salary Sacrifice Pension available
Hybrid Model: 1200 kr WFH Equipment Allowance (after probation)
Fitness & Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice)
Learning & Development: Access to Learning Platforms and paid Certifications
Why Datatonic?
Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you!
Are you ready to make an impact?
Apply now and take your career to the next level.
Så ansöker du Sista dag att ansöka är 2026-02-04
Klicka på denna länk för att göra din ansökan Omfattning Detta är ett heltidsjobb.
Arbetsgivare Datatonic Nordics AB (org.nr 559204-3755)
Malmskillnadsgatan 36 (
visa karta)
111 57 STOCKHOLM
Arbetsplats Datatonic
Jobbnummer 9668714