What They're Looking For:

• 4+ years of experience in Software Engineering, Data Engineering, DevOps, or MLOps
• Strong hands-on Python, writing clean, production-quality code
• Experience with CI/CD, Docker, and infrastructure-as-code such as Terraform
• Familiarity with cloud platforms, AWS preferred, and deploying services into production
• Exposure to or interest in ML model deployment, tools like MLflow or SageMaker are a strong plus
• A proactive, hands-on mindset, someone who spots problems and drives solutions forward
• Genuine appetite for using cutting-edge LLM tools and agents to boost your own and the team's productivity

What They Offer:

Competitive senior-level package and:

💼 Hybrid working with meaningful in-office collaboration time

🌎 Flexibility to work from other locations internationally for part of the year

📈 Personal learning budget with a strong AI focus

💪 Gym discounts and travel perks

🌍 Join a genuinely international team, working on products used at real global scale