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Senior DevOps Engineer (Cloud & ML Infrastructure)

1 month, 1 week ago
Greece
Full-time
Senior
DevOps Engineer
DevOps and Infrastructure
AWS CI/CD Go Kubernetes LLM Machine Learning Python Terraform
Apply Now
Kpler

Kpler

Kpler provides a comprehensive platform for global trade intelligence, offering real-time data and analytics that empower businesses to plan, grow, and operate sustainably across various commodities and markets.

Professional Services
251-1K
Founded 2014
View All Jobs 10

Description

  • Design, operate, and improve cloud-native infrastructure across Kubernetes, networking, compute, and storage.
  • Contribute to Infrastructure as Code, CI/CD pipelines, and platform automation.
  • Ensure high availability, reliability, and security of production systems.
  • Improve observability, monitoring, alerting, and incident response processes.
  • Reduce MTTR and failure rates through structured reliability improvements.
  • Optimize infrastructure cost and performance for compute-intensive workloads.
  • Support and help standardize ML and GPU-based workloads within the platform model.
  • Collaborate with ML engineers, data engineers, and backend teams on production-grade deployments.
  • Contribute to architectural decisions that shape the platform’s evolution.

Requirements

  • 5+ years of experience in cloud/platform engineering in production environments.
  • Strong hands-on experience with Kubernetes in production.
  • Experience with Infrastructure as Code, with Terraform preferred.
  • Strong knowledge of AWS or an equivalent cloud provider.
  • Experience operating distributed systems in 24/7 environments.
  • Strong operational mindset with experience in SLOs, monitoring, and incident management.
  • Proven experience running ML/AI workloads in production is desirable.
  • Experience with GPU-based workloads is desirable.
  • Exposure to LLM-based or other compute-intensive systems is desirable.
  • Solid programming skills in Python or Go are preferred.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.

Benefits

  • Full-time remote work.
  • Opportunity to work on cloud, data, and ML infrastructure at a global company.
  • Inclusive and diverse work environment.
  • Supportive, collaborative team culture.
  • Equal opportunity employer with a commitment to diverse backgrounds and perspectives.

Interested in this position?

Apply directly on the company website

Apply Now

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