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About the Role: 

As a Site Reliability Engineer, you will leverage your extensive expertise in Linux systems, virtualization, containers, Kubernetes clusters, and CI/CD pipelines to ensure the stability and efficiency of our systems, collaborating across teams to implement best practices for infrastructure management, automated deployment, and application performance monitoring. 

Deep on-premises experience is a core requirement, not a secondary consideration. Our production environment runs on our own hardware - large data centers built on hundreds of bare metal servers and VMs, with our own storage, virtualization, and physical network beneath them. You will operate comfortably at the hardware and OS layer while also owning the container and delivery platform on top of it. 

**Location and Onsite Requirement: This role requires onsite work at least once per week at one of our designated data centers in Dallas, TX, Ashburn, VA or San Jose, CA. Candidates must be able to commute regularly to one of these locations. Relocation assistance and reimbursement for routine commuting, travel, or overnight lodging are not available.

What You'll Do:

• Provide expert guidance on managing large data centers, including hundreds of bare metal servers and virtual machines (VMs), ensuring optimal configuration and performance.
• Monitor and troubleshoot system performance, reliability, and availability using modern observability tools and techniques, with strong emphasis on diagnosing and resolving issues in operating systems and bare metal environments.
• Manage the server hardware lifecycle - firmware and BIOS baselines, out-of-band management, failure triage, vendor and RMA coordination, capacity forecasting, and refresh planning.
• Administer virtualization platforms and manage storage appliances across all data center locations worldwide.
• Automate bare metal  and VM provisioning and OS lifecycle at scale.  
• Work hands-on with data center network infrastructure - VLANs, routing, link aggregation, load balancers, and firewall rules - troubleshooting latency, throughput, and packet loss from the Linux host outward, including multi-site and colocation resiliency. 
• Design, implement, and maintain scalable, reliable infrastructure using containers, Kubernetes, and microservices architecture, including clusters on bare metal and on-premises VMs. 
• Oversee configuration management for consistent, reliable releases across environments, using Ansible for system configuration, patch management, and provisioning across data center infrastructure, and eliminating configuration drift across the fleet. 
• Design and operate high-throughput Kafka clusters for event streaming - topics, partitions, replication, consumer lag monitoring, and disaster recovery across data center infrastructure. 
• Implement name services and server management practices, including DNS, DHCP, NTP, directory and authentication services, and certificate management. 
• Collaborate with development teams to influence system design choices and operational policies, and continuously evaluate and integrate new technologies, hardware platforms, and automation approaches to improve operational efficiency and reliability. 
• Participate in on-call rotations supporting production systems, conduct blameless post-mortems with root cause analysis, and maintain incident response runbooks and procedures. 
• Create comprehensive technical documentation - runbooks, architectural diagrams, network topology maps, rack elevations, and capacity models - and maintain knowledge bases for operational procedures and best practices. 

Experience We're Looking For: 

• 8+ years of experience as an SRE or in a related field, with a strong focus on production systems, containers, microservices, and service delivery, required. A bachelor's degree in Computer Science, Engineering, or a related field required; an advanced degree is strongly preferred.
• Must have extensive on-premises data center experience managing large environments with hundreds of bare-metal servers and virtual machines. Experience with multi-site or colocation deployments, cross-site disaster recovery, and hybrid on-premises and cloud trade-offs is a plus.
• Hands-on server hardware experience is essential, including firmware and BIOS management, out-of-band management, failure diagnosis, vendor coordination, and capacity and refresh planning.
• Deep knowledge of Linux operating systems-including configuration, performance tuning, and troubleshooting-is expected.
• A strong understanding of Linux networking concepts and protocols is necessary, along with familiarity with data center networking fundamentals such as VLANs, routing, load balancing, DNS, and DHCP.
• Demonstrated experience with containers and orchestration technologies, particularly Kubernetes, is required, including running clusters on bare metal or on-premises virtual machines.
• Must bring extensive experience managing and maintaining CI/CD pipelines and the supporting technologies, including GitOps workflows, Argo CD, and Helm charts.
• Comprehensive knowledge of observability tools such as Prometheus, the ELK Stack, log collectors, and Grafana is key to success in this role.
• Experience with configuration management tools-particularly Ansible-is important. Infrastructure as code applied to physical infrastructure using Terraform providers, MAAS, Foreman, or similar technologies, as well as scripting in Python, Bash, or Go, would be advantageous.
• Proven ability to analyze complex systems, identify bottlenecks, troubleshoot issues, and implement effective solutions is critical. Experience operating Kafka or other high-throughput, stateful distributed systems on premises-including replication and disaster recovery-would be highly valued.
• Excellent communication and cross-functional collaboration skills are essential, as is a willingness to participate in an on-call rotation and support work in physical data center environments when needed.  #LI-CC1

Ooma is an equal-opportunity employer committed to recruiting, employing, retaining, promoting, and otherwise treating all employees on the basis of merit, qualifications, and competence. We do not discriminate on the basis of any trait or characteristic protected by applicable federal, state, or local laws.

We may utilize AI-enabled tools during the hiring process, including for resume review, scheduling, and interview note-taking or transcription. These tools are used solely to support our hiring team; all employment decisions are made by human reviewers.  

Where interviews are recorded or transcribed, candidates will be notified in advance and their consent will be obtained.