DevOps Engineer

The Dev Ops Engineer is responsible for the design, development, and lifecycle management of automation and integration solutions across ’s cloud infrastructure and application platforms. This individual will lead the implementation and operation of continuous integration, automated deployment, and infrastructure-as-code solutions that support the delivery of ’s life safety and home automation applications.

This role works closely with Software Engineering, Quality Engineering, Cloud Operations, Security, and Release Management teams to onboard and support applications throughout the full software development lifecycle. The position combines hands‑on engineering with operational responsibility to ensure the availability, performance, scalability, and reliability of ’s cloud platforms and applications.

• Design and develop tools and frameworks that enable continuous integration and automated infrastructure management across all layers of the cloud stack, including servers, storage, networking, operating systems, management infrastructure, applications, monitoring, and alerting.
• Implement and maintain infrastructure-as-code solutions using technologies such as Ansible, AWX, Puppet, and Terraform to support scalable and repeatable infrastructure deployments.
• Provide technical guidance to engineering teams on best practices for deploying and operating software within the  cloud environment.
• Develop a deep understanding of the architecture and operational characteristics of the  cloud platform and implement solutions that improve system reliability, performance, and predictability.
• Evaluate, architect, and migrate on‑premises workloads to hyperscaler environments including AWS and Azure.
• Troubleshoot infrastructure and application issues across development, staging, and production environments.
• Participate in on‑call rotations and incident response to maintain the stability and performance of production services.
• Collaborate with Cloud Engineering, Software Engineering, and Quality Engineering teams to improve operational efficiency and system observability.
• Develop and maintain operational runbooks, monitoring standards, and alert metrics to support platform health and stability.
• Support application deployments and improvements across the full software development lifecycle.
• Enable automation and operational improvements using scripting languages and modern Dev Ops tooling.
• Other duties as assigned.

• Bachelor’s degree in Computer Science, Engineering, or a related technical field preferred.
• Minimum 3 years of Dev Ops or cloud infrastructure engineering experience.
• Hands‑on experience with cloud and virtualization technologies including VMware, AWS, and Azure.
• Experience with configuration management and infrastructure-as-code tools such as Ansible, AWX, Puppet, and Terraform.
• Working knowledge of Linux and Windows operating systems in enterprise environments.
• Experience with containerization and orchestration technologies including Docker, Kubernetes (K8s), Azure Kubernetes Service (AKS), and Rancher.
• Familiarity with server monitoring and application performance monitoring solutions such as Pager Duty, Grafana, Open Telemetry, New Relic, Dynatrace, and App Dynamics.
• Experience with CI/CD pipelines and Dev Ops tooling including Git Hub Actions, Octopus Deploy, Atlassian tools, Git, and ArgoCD.
• Familiarity with secrets and artifact management technologies including Vault and Artifactory.
• Experience with scripting or programming languages such as Bash, Python, Go, C#, and Power Shell.
• Experience supporting operational processes including multi‑tiered escalation and on‑call procedures.
• Ability to work both independently and collaboratively within a team environment.
• Strong problem‑solving skills and a self‑directed approach to investigating and resolving technical issues.
• Please note that sponsorship of new applicants for employment authorization, or any other immigration‑related support, is not available for this position at this time.

• Experience supporting highly available SaaS environments with 99.999% uptime requirements.
• Experience operating large‑scale cloud infrastructure supporting distributed applications.