DevOps Engineer

The DevOps Engineer is responsible for managing services primarily in the Azure cloud, including setting up virtual networks, managing computer services, and maintaining a secure and cost-effective cloud infrastructure. They will also work on software deployment projects to the cloud and various managed services in Azure. The role involves collaborating with engineers in a DevOps model, assessing and planning the migration of serverless compute workloads to a Kubernetes cluster, and designing and managing the deployment of Kubernetes clusters in a production environment. The DevOps Engineer will also drive towards an automated, software-defined cloud platform and ensure the stability of application stacks and services.

• Manage services primarily in the Azure cloud
• Set up virtual networks and manage computer services such as Application Insights and Function and logic applications
• Maintain a secure, reliable, and cost-effective cloud infrastructure
• Work on software deployment projects to the cloud and various managed services in Azure
• Administer Windows and Linux virtual machines and docker images
• Review and manage the security of the My Carrier Application Stack and deployment
• Manage and monitor cloud infrastructure for performance and cost optimization
• Support the entire application lifecycle in a DevOps model
• Assess and plan the migration of serverless compute workloads to a Kubernetes cluster
• Design, implement, and manage the deployment of Kubernetes clusters in a production environment
• Drive towards an automated, software-defined cloud platform using tools such as Terraform and Azure Resource Management Templates
• Manage SQL Servers and health
• Ensure stability of application stacks and services Mesh
• Perform code reviews and make notes
• Experience with high-scale, high-performance web application platforms
• Experience with Data Dog Cloud-focused monitoring
• Knowledge of Vnets and cloud networking best practices
• Ability to administer both Windows and Linux virtual machines
• Experience with CI/CD development processes and pipelines
• Knowledge of Service Mesh integrations such as ISITO
• Strong understanding of infrastructure and information security best practices
• Troubleshoot and fix infrastructure issues with limited supervision
• Mentor and train other engineers
• Build and maintain Kubernetes clusters in a production environment
• Proficiency in containerization technologies like Docker and container orchestration with Kubernetes
• Familiarity with serverless computing concepts and platforms and their integration with Kubernetes
• Solid understanding of cloud platforms and experience with infrastructure automation tools
• Knowledge of CI/CD pipelines and associated tools for deploying and managing applications in a Kubernetes environment
• Strong scripting and programming skills for automation and tooling development
• Experience with monitoring and logging tools to ensure observability and troubleshoot cluster issues
• Excellent problem-solving and troubleshooting skills
• Strong collaboration and communication skills

• Bachelor's degree in computer science and 3+ years of experience in IT operations, including 1+ years of experience working in the Azure cloud, or an acceptable combination of education and experience.
• Experience in Building and deploying Kubernetes and Azure Kubernetes.
• Experience with Helm and Flux.
• Experience with at least one programming or scripting language (Python, Ruby, C#, Java, etc.).
• Comfortable performing code reviews and making notes.
• Experience with high-scale, high-performance web application platforms.
• Experience with Data Dog Cloud-focused monitoring.
• Knowledge of Vnet's and cloud networking best practices.
• Ability to comfortably administer both Windows and Linux virtual machines.
• Experience with CI/CD development processes and pipelines. (Helm, Flux, etc.)
• Knowledge of Service Mesh integrations such as ISITO.
• Strong understanding of infrastructure and information security best practices.
• Ability to troubleshoot and fix infrastructure issues with limited supervision.
• Strong communications skills and the ability and desire to mentor and train other engineers.
• Strong experience in building and maintaining Kubernetes clusters in a production environment.
• Proficiency in containerization technologies like Docker, container orchestration with Kubernetes, and related ecosystem tools (e.g., Helm, Prometheus, Grafana).
• Familiarity with serverless computing concepts and platforms (e.g., AWS Lambda, Azure Functions) and their integration with Kubernetes.
• Solid understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with infrastructure automation tools (e.g., Terraform, Ansible, CloudFormation).
• Knowledge of CI/CD pipelines and associated tools (e.g., Jenkins, GitLab CI/CD, CircleCI) for deploying and managing applications in a Kubernetes environment.
• Strong scripting and programming skills (e.g., Bash, Python, Go) for automation and tooling development.
• Experience with monitoring and logging tools (e.g., Prometheus, ELK Stack) to ensure observability and troubleshoot cluster issues.
• Excellent problem-solving and troubleshooting skills, with the ability to analyze complex technical issues and propose effective solutions.
• Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams.

• Base + Stock Options
• $4,224 annual Employer Health Insurance - medical, dental, vision, life insurance available
• Unlimited PTO
• Monthly catered lunch
• Fully stocked pantry of snacks and fridge full of drinks
• Annual Christmas Party
• Quarterly Team-building Outings
• Professional Development