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Latest DevOps / SRE jobs at Kraken

5 jobs

Job results

Kraken

Kraken

United Arab Emirates
Senior Database Administrator - Core Infrastructure
No salary listedRemote5+ YOEDevOps / SRE

Operates and evolves high-throughput MariaDB infrastructure, improving reliability, automation, security, observability, and disaster recovery. Requires 5+ years of production MariaDB/MySQL experience plus expertise in distributed databases, Kubernetes, infrastructure as code, and incident readiness.

Kraken

Kraken

LATAM

Site Reliability Engineer - Telemetry
No salary listedRemote3+ YOEDevOps / SRE

Operates and scales shared telemetry infrastructure spanning metrics, logs, traces, alerting, dashboards, and profiling. The role requires at least three years of production engineering experience, distributed-systems troubleshooting, Infrastructure as Code, container orchestration, incident response, and on-call participation.

Kraken

Kraken

LATAM

Infrastructure Engineer - Core Infrastructure
No salary listedRemote3+ YOEDevOps / SRE

Operates and scales Kraken’s core infrastructure platforms, with a focus on OpenStack, Ceph, Linux, distributed systems, and automation. The role requires 3+ years of infrastructure or software engineering experience and supports reliable compute and storage services across cloud and on-premises environments.

Kraken

Kraken

Europe

Network Engineer - Core Infrastructure
$40k+/yrOn-site2+ YOEDevOps / SRE

Builds, secures, operates, and automates data-center and network infrastructure for a global cryptocurrency exchange. The role requires network engineering experience, hands-on physical infrastructure and firewall expertise, cloud networking knowledge, and an automation-focused mindset.

Kraken

Kraken

United Kingdom
Senior AI Compute Infrastructure Engineer
No salary listedRemote5+ YOEDevOps / SRE

This senior engineer will operate and optimize GPU and accelerator infrastructure for AI training, inference, evaluation, and experimentation. The role requires 5+ years of infrastructure experience, production GPU cluster operations, strong systems fundamentals, and expertise in serving, observability, reliability, and compute-cost optimization.