Why Cast AI?

Cast AI is the leading Application Performance Automation (APA) platform, enabling customers to cut cloud costs, improve performance, and boost productivity – automatically.

Built originally for Kubernetes, Cast AI goes beyond cost and observability by delivering real-time, autonomous optimization across any cloud environment. The platform continuously analyzes workloads, rightsizes resources, and rebalances clusters without manual intervention, ensuring applications run faster, more reliably, and more efficiently.

Headquartered in Miami, Florida, Cast AI has employees in more than 32 countries worldwide and supports some of the world’s most innovative teams running their applications on all major cloud, hybrid, and on-premises environments. Over 2,100 companies already rely on Cast - from BMW and Akamai to Hugging Face and NielsenIQ.

What’s next? Backed by our $108M Series C, we’re doubling down on making APA the new standard for DevOps and MLOps, and everything in between.

About the role

As a Data Engineer, you’ll design and optimize large-scale data pipelines, orchestrate big data workflows, and work with streaming technologies that power intelligent automation. This is an opportunity for someone with strong data engineering expertise and a curiosity for Machine Learning and AI, who wants to take their skills to the next level.

Requirements:

• Strong software engineering and problem-solving skills.
• Proven experience in data pipeline development for machine learning workflows.
• Proficiency with big data technologies and streaming platforms.
• Experience with Data Warehouse technologies such as ClickHouse, Snowflake, or BigQuery.
• Knowledge of DBT and feature store concepts in data engineering.
• Demonstrated interest in ML/AI with a desire to grow in the field.
• Excellent communication skills and a proactive, collaborative mindset.
• Based in a European country within GMT 0 to GMT +3.
• Strong English skills (written and spoken).

Responsibilities:

• Design, build, and scale cloud-native data pipelines leveraging orchestration frameworks and infrastructure-as-code for reproducibility and automation.
• Operate across batch and streaming ecosystems, integrating real-time data platforms with large-scale data storege and processing architectures.
• Engineer high-quality, discoverable datasets through modern data modeling, ensuring reliability, lineage tracking, and governance.
• Partner with ML/AI teams to productionize data for training and inference pipelines, enabling feature stores, online/offline parity, and model monitoring.
• Optimize cost, scalability, and performance in multi-cloud / hybrid environments, using modern query engines.
• Champion observability and reliability by implementing data SLAs, automated quality checks, anomaly detection, and self-healing pipelines.
• Drive innovation and experimentation by adopting new technologies to support advanced analytics and AI.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Enjoy a flexible, remote-first global environment.
• Equity options.
• Private health insurance.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement.
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.