Senior DevOps Engineer Moldova

About the Role

We are looking for an DevOps ready to own the reliability and operational maturity of a production AI platform. You will be the engineering foundation that keeps agentic content workflows running at scale, ensuring services are observable, deployments are automated, and infrastructure is reproducible. Working closely with AI and Full Stack engineers, you will shape how the team builds, ships, and operates, with particular focus on the reliability challenges unique to LLM workloads: cost, latency, and non-deterministic failure modes. This is a role for someone who takes pride in building systems that others depend on.

Key Responsibilities:

• Own the reliability, scalability, and performance of the platform’s services running on Azure Container Apps and AWS ECS.
• Build and maintain CI/CD pipelines (GitHub Actions) for automated build, test, and deployment across multiple microservices, including Docker image management, registries, and deployment config.
• Implement and manage infrastructure as code (Terraform, Bicep, or ARM) across Azure and AWS.
• Set up and maintain observability — monitoring, alerting, logging, and dashboards (New Relic, Langfuse, CloudWatch).
• Manage Azure Service Bus, Blob Storage, Key Vault, and Container Apps configurations.
• Ensure security best practices — secret management, image scanning, vulnerability remediation.
• Implement auto-scaling, load balancing, and cost optimisation for AI workloads.
• Support incident response and establish runbooks for production services.
• Collaborate with AI engineers to optimise LLM API usage, token costs, and latency.

Required Skills & Qualifications

• 5+ years of DevOps, or platform engineering experience.
• Strong hands-on experience with Azure (Container Apps, Service Bus, Key Vault, Blob Storage, Azure OpenAI resource management).
• Familiarity with AWS (ECS, S3, Aurora, CloudWatch).
• Infrastructure as code: Terraform, Bicep, or ARM templates.
• CI/CD pipeline design and maintenance (GitHub Actions preferred).
• Docker and container orchestration, with Kubernetes experience as a strong plus.
• Monitoring and observability: New Relic or equivalent. Experience with LLM observability is a plus.
• Security practices: secret management, vulnerability scanning, image hardening.
• Scripting in Python or Bash for automation.
• Daily user of AI development tools (Cursor, Claude Code, Copilot).
• Fluent English — spoken and written.

Benefits:

• Opportunities for certification and training
• Dual monitor setup and high-spec workstations
• English courses
• Gym allowance
• Medical Reimbursement
• Full salary covered up to 20 days of sickness
• Flexible working hours
• Loyalty scheme
• Team building activities, special events and conferences
• UK/EU Travel opportunities
• Snacks and drinks in the office