DevOps Engineer

Outstaff Hiring: Remote — Contract (Full-time, Long-term)

About the Role

We are looking for a Senior DevOps Engineer to take ownership of cloud infrastructure, CI/CD, security, monitoring, and deployment architecture for an enterprise AI platform.

You will work closely with the CTO and engineering team to build and scale reliable infrastructure supporting AI-powered applications and agentic systems.

This is a hands-on role with significant ownership. You will help define infrastructure standards, improve deployment processes, and contribute to building the DevOps/Infrastructure function as the engineering organization grows.

Location: Remote (EU)
Engagement: Full-time / Long-term
Seniority: Senior / Lead Level

Responsibilities

• Own and develop GCP-based cloud infrastructure, including Cloud Run, GKE, IAM, DNS, VPCs, and Load Balancers.
• Design and maintain scalable CI/CD pipelines supporting multiple applications and environments.
• Build and manage containerized and serverless production environments.
• Implement infrastructure automation using Terraform, Helm, and related Infrastructure-as-Code tools.
• Manage Kubernetes environments and deployment processes.
• Implement and maintain monitoring, logging, and alerting using tools such as Prometheus, Grafana, ELK, and Google Cloud Monitoring.
• Improve infrastructure reliability, scalability, performance, and availability.
• Implement security practices including access controls, secrets/key management, IAM, and environment isolation.
• Establish DevOps and infrastructure standards across engineering teams.
• Work directly with engineering leadership on infrastructure architecture and technical decisions.
• Mentor engineers and help grow the Infrastructure/DevOps team.
• Use modern AI development tools to improve engineering productivity and automation.

Requirements

• 5+ years of experience in DevOps, SRE, Cloud, or Infrastructure Engineering.
• At least 3 years in a technical leadership or infrastructure ownership role.
• Strong commercial experience with Google Cloud Platform (GCP).
• Strong experience with Kubernetes and containerized environments.
• Hands-on experience with Terraform and/or Helm.
• Strong knowledge of cloud-native and serverless architectures.
• Experience building and maintaining CI/CD pipelines using tools such as GitHub Actions and ArgoCD.
• Experience with monitoring and observability platforms such as Prometheus, Grafana, ELK, or equivalent.
• Strong understanding of cloud networking, IAM, security, and access management.
• Experience building infrastructure from scratch or in zero-to-one environments.
• Comfortable working in a fast-moving environment with changing requirements.
• Strong ownership mindset and ability to work independently.

Nice to Have

• Experience working with AI/ML or Generative AI platforms.
• Familiarity with agentic AI workflows.
• Experience supporting RAG pipelines and vector databases.
• Familiarity with frameworks or architectures similar to LangChain.
• Experience supporting infrastructure for enterprise-scale AI applications.
• Previous experience in an early-stage or rapidly scaling technology company.

Tech Environment

• Google Cloud Platform (GCP)
• Kubernetes / GKE
• Cloud Run
• Terraform
• Helm
• GitHub Actions
• ArgoCD
• Prometheus
• Grafana
• ELK
• Google Cloud Monitoring
• Docker
• Java
• Python
• Go
• TypeScript
• Vector Databases
• AI / LLM infrastructure

What We Offer

• Long-term opportunity with a fast-growing technology company.
• Direct collaboration with senior engineering leadership.
• High level of technical ownership and influence over infrastructure architecture.
• Opportunity to build and improve infrastructure from an early stage.
• Work with modern cloud, DevOps, and AI technologies.
• Continuous learning and professional development opportunities.

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