Senior DevOps/ Site Reliability Engineer (AWS/GCP)
About the Role
Gradion is expanding its SRE team for the a client with a long-term managed services. You will be part of a global, follow-the-sun SRE function, responsible for platform stability, cloud infrastructure, and incident response.
This role suits engineers who are technically solid, self-directed, and comfortable operating in a fast-moving, internationally distributed environment. You will go through a structured onboarding alongside an internal SRE team before taking on independent operational responsibility.
What You Will Do
Own platform availability: monitor, triage, and resolve incidents within defined SLA windows
Manage cloud infrastructure on AWS and/or GCP - provisioning, scaling, and day-to-day operations
Maintain and improve CI/CD pipelines and GitOps workflows
Operate observability systems: monitoring, logging, and alerting at production scale
Participate in on-call rotation as part of the global follow-the-sun coverage model
Configure, deploy, and manage AI tooling and MCP servers in production environments
Contribute to infrastructure automation, scripting, and internal tooling
Write clear post-incident reviews and contribute to the monthly operational report
Collaborate closely with engineering teams across multiple time zones
What You Bring
4+ years in a DevOps / SRE / Platform Engineering role within an international team
Solid Kubernetes knowledge - cluster operations, troubleshooting, and configuration
Hands-on cloud experience with AWS and/or GCP
Good understanding of networking fundamentals - DNS, load balancing, firewalls, VPC
Scripting and automation skills (Python, Bash, or similar)
Experience with CI/CD tools and GitOps-based delivery
Working knowledge of monitoring and observability systems (Prometheus, ELK, or equivalent)
Good English - daily communication with European stakeholders is a core requirement
Self-directed and proactive - you ask the right questions and drive issues to resolution without waiting to be told
Nice to Have
Experience configuring and managing MCP servers and AI tooling in production
Exposure to AI enablement workflows or LLM infrastructure
Background supporting eCommerce or SaaS platforms
Familiarity with the Frontastic / commercetools Frontend ecosystem