DevOps Engineer

Employment: 12-months initial (contract to perm)

• Build and maintain cloud infrastructure using Infrastructure as Code.
• Design secure, repeatable environments across development, test, staging and production.
• Manage containerized workloads and Kubernetes-based deployments where appropriate.
• Define standard application deployment patterns for backend, frontend and AI services.
• Implement secure secrets and configuration management.
• Support network, identity and connectivity requirements for enterprise integrations.
• Build automated CI/CD pipelines.
• Standardize build, test, security scanning and deployment processes.
• Automate environment provisioning and configuration.
• Reduce manual deployment steps and production configuration drift.
• Work closely with engineering teams to improve release frequency and reliability.

• Establish logging, metrics, tracing and alerting.
• Define service-level indicators and operational thresholds.
• Build dashboards for system health and application performance.
• Implement incident-response and production-support practices.
• Design for graceful degradation, retries, failover and recovery.
• Lead root-cause analysis of production incidents.

• Implement least-privilege access and secure deployment patterns.
• Support auditability of infrastructure and production changes.
• Work with security and infrastructure teams to meet enterprise control requirements.

• Support business continuity and disaster-recovery design.
• Define backup, restore and recovery procedures.
• Test operational recovery rather than relying solely on documented plans.

• 6+ years in Dev Ops, SRE, platform engineering or cloud infrastructure.
• Strong production experience with Azure, AWS or GCP;
  Azure strongly preferred.
• Docker and Kubernetes.
• Infrastructure as Code using Terraform, Bicep, Pulumi or equivalent.
• CI/CD using Azure Dev Ops, Git Hub Actions, Git Lab CI or similar.
• Strong Linux and networking fundamentals.
• Observability tooling and distributed-system troubleshooting.
• Secure secrets, identity and access-management patterns.
• Scripting/programming capability in Python, Go, Bash or equivalent.

• Azure Service Bus, API Management, Key Vault and related Azure services.
• Regulated or government environments.
• High-availability and disaster-recovery architecture.