🛠 Tech Stack

💼 About This Role

You'll lead the design and implementation of ML infrastructure across petabyte-scale platforms. Your work will directly impact millions of users by enabling robust, scalable cloud automation solutions. Join a collaborative team with a strong focus on innovation and growth.

🎯 What You'll Do

• Lead design and implementation of end-to-end ML infrastructure.
• Drive cloud infrastructure decisions for large-scale ML workloads.
• Implement and maintain CI/CD pipelines for model deployment.
• Build monitoring, alerting, and logging for model reliability.

📋 Requirements

• 5+ years in MLOps, DevOps, Data Engineering, or cloud infrastructure.
• Bachelor's degree in Computer Science or related field.
• Expert proficiency in Terraform for cloud infrastructure management.
• Deep hands-on experience with AWS, Azure, or GCP.

✨ Nice to Have

• Experience within iGaming industry.
• Experience with petabyte-scale data and distributed computing (Spark, Hadoop).
• Familiarity with monitoring and observability platforms.

🎁 Benefits & Perks

• 💻 Hybrid work – up to 2 days remote per week.
• 🏖️ Annual bonus – lucrative performance-based bonuses.
• 🍽️ Daily breakfast – unlimited snacks, refreshments, and barista coffee.
• 🎮 Fun office – F1 simulators, table tennis, gaming consoles.
• 💆 Remedial massage – on-site Wednesdays.

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min