We are looking for a Microsoft Azure DevOps Engineer to help build reliable cloud delivery and operations capabilities for insurance front- and back-office processing systems. You will partner closely with engineers to improve CI/CD, observability, security, and documentation in Azure. Apply now to join the team.
Responsibilities
- Design and implement automated CI/CD pipelines to improve delivery speed and reliability
- Manage Azure cloud resources to balance performance, availability, and cost efficiency
- Implement security controls and disaster recovery measures for cloud infrastructure
- Collaborate with development teams to optimize application scalability and performance in Azure
- Monitor platform health using dashboards, alerts, and actionable operational metrics
- Troubleshoot and resolve complex infrastructure, deployment, and runtime issues
- Create and maintain documentation for deploying components to Azure
- Coordinate with a US-timezone platform team to ensure effective working-hours overlap
- Provide technical guidance to peers on DevOps practices and platform standards
Requirements
- 2+ years of experience with Microsoft Azure cloud services and operations
- 2+ years of experience building CI/CD pipelines and release automation
- Hands-on experience with Kubernetes and container orchestration
- Hands-on experience with Docker containerization
- Hands-on experience with Terraform infrastructure as code
- Hands-on experience with Argo CD for GitOps deployments
- Hands-on experience with Grafana monitoring and alerting
- Security best practices knowledge for cloud infrastructure and deployments
- Disaster recovery planning skills for cloud-based workloads
- Strong troubleshooting skills for complex infrastructure and deployment issues
- Clear documentation skills for deployment and operational runbooks
- Good communication skills for collaboration and sprint demos with clients
- English proficiency: B2 Upper-Intermediate
Nice to have
- Azure DevOps experience for pipeline, boards, or artifact workflows
- Microservice architecture experience and operational patterns