G
Global-e
Site Reliability Engineer (Foundation Team)
Skills
PythonJenkinsDatadogGrafanaAWSPrometheusGitHubKubernetesAWS KinesisTerraform
2 months ago
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Important information
Contract type:
Permanent
Location:
Dublin, Ireland
Work mode:
Onsite
Published on:
29 August 2026
What they need
- As a DevOps/SRE Engineer on our Foundation team, you will help build, operate, and continuously improve the platform infrastructure that underpins all of Global-e’s microservices
- You’ll work at the intersection of infrastructure engineering and reliability — automating deployments, hardening systems, and ensuring our platform scales reliably to handle millions of transactions worldwide
- You’ll collaborate closely with software engineers, platform architects, and product teams to keep our systems fast, resilient, and operationally excellent
- This role reports to the Engineering Manager for the Foundation team and is based out of our Dublin, Ireland office
- Own Infrastructure as Code: Write, maintain, and improve Terraform modules to provision and manage cloud resources on AWS (EKS, RDS, Kinesis, and more)
- Support and Improve CI/CD Pipelines: Build and maintain reliable deployment pipelines that enable engineering teams to ship with speed and confidence
- Ensure Platform Reliability: Define and track SLOs/SLAs, respond to incidents, conduct post-mortems, and drive systemic improvements to reduce toil and prevent recurrence
- Monitor and Observe: Implement and maintain observability tooling — metrics, logging, alerting, and dashboards — to provide clear visibility into system health
- Scale Kubernetes Workloads: Help manage and evolve our EKS clusters, ensuring workloads are performant, cost-efficient, and fault-tolerant
- Embrace AI-Augmented Operations: Leverage and help expand our growing use of AI tooling — from AIOps and anomaly detection to AI-assisted incident response and infrastructure optimisation — as we invest heavily in bringing AI into our day-to-day engineering workflows
- Collaborate Across Teams: Partner with software engineers to bridge the gap between development and operations — advising on best practices, reviewing infrastructure changes, and supporting teams during rollouts
- Improve Security Posture: Contribute to hardening cloud environments, managing secrets, and enforcing least-privilege access controls
- Automate Everything: Identify manual processes and replace them with robust, repeatable automation- This is a mid-level role for someone who is hands-on with cloud infrastructure and eager to grow their skills across a modern, high-traffic production environment
- A Clear Communicator: You can articulate technical tradeoffs and incident timelines to both engineering peers and non-technical stakeholders
- Pragmatic and Reliable: You take ownership of the systems you build and prioritize stability without sacrificing velocity
- Curious and Hands-On: You enjoy digging into production issues, understanding root causes, and learning how complex distributed systems behave under pressure
- Collaborative: You thrive working alongside software engineers and understand that great infrastructure enables great products
- Growth-Oriented: You’re actively developing your skills and excited to take on increasing ownership over time
- A Reliability Mindset: Understanding of SRE principles — SLOs, error budgets, incident management, and blameless post-mortems
- Kubernetes Familiarity: Experience deploying, debugging, and operating containerised workloads on Kubernetes
- Terraform Proficiency: Comfortable writing and maintaining production-grade infrastructure as code
- CI/CD Experience: Familiarity with pipeline tooling (e.g. GitHub Actions, ArgoCD, Jenkins, or similar)
- Observability Skills: Experience with monitoring and alerting tools (e.g. Datadog, Prometheus/Grafana, or equivalent)
- Solid Cloud Experience: Hands-on with AWS services (EKS, RDS, Kinesis, S3, IAM, and related services)
- 2+ Years of Experience in a DevOps, SRE, or platform/infrastructure engineering role
- Scripting Ability: Comfortable with Python, Bash, or similar for automation and tooling tasks
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