Senior DevOps Engineer – Cloud, ML Infrastructure

This is a fully remote position, open to applicants in Greece.

📋 Description

• Design, manage, and enhance Kpler’s cloud-native infrastructure (Kubernetes, networking, compute, storage).

• Contribute to Infrastructure as Code, CI/CD pipelines, and automation of the platform.

• Ensure the high availability, reliability, and security of production systems.

• Enhance observability, monitoring, alerting, and incident response processes.

• Minimize MTTR and failure rates through systematic reliability enhancements.

• Optimize the cost and performance of infrastructure, particularly for compute-intensive workloads.

• Support and assist in standardizing ML/GPU-based workloads within the current platform framework.

• Work closely with ML engineers, data engineers, and backend teams to facilitate production-grade deployments.

• Influence architectural decisions that guide the platform's evolution.

⛳️ Requirements

• Over 5 years of experience in cloud/platform engineering within production settings.

• Extensive hands-on experience with Kubernetes in a production environment.

• Familiarity with Infrastructure as Code (preferably Terraform).

• Strong knowledge of AWS or an equivalent cloud service provider.

• Experience in managing distributed systems in 24/7 operational environments.

• Robust operational mindset (SLOs, monitoring, incident management).

• Bachelor’s or Master’s degree in Computer Science, Engineering, or comparable practical experience.

• Proficient programming skills (Python or Go preferred).

• Comprehensive understanding of cloud-native architecture and principles of reliability engineering.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Flexible work hours and remote work opportunities.

• Comprehensive health and wellness benefits.

• Professional development and training programs.

• Collaborative and innovative team environment.