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

Industrials

251-1K (299)

Founded 2014

15 open positions

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Senior DevOps Engineer (Cloud & ML Infrastructure)

2 hours, 2 minutes ago

Greece

Full-time

Senior

DevOps Engineer

DevOps and Infrastructure

AWS CI/CD Go Kubernetes LLM Machine Learning Python Terraform

Apply Now

Kpler

Professional Services

251-1K

Founded 2014

View All Jobs 15

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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