Senior DevOps Engineer

Role Summary

This position is a senior-level DevOps Engineer responsible for supporting and optimizing cloud-based collaboration platforms. The role involves operating, scaling, and maintaining observability platforms, Kubernetes environments, and automated deployment pipelines to ensure reliable and efficient large-scale distributed systems. The ideal candidate possesses extensive production experience, a strong operational discipline, and a focus on automation and reliability.

Responsibilities

• Design, develop, and maintain observability platforms, including logging, metrics, and tracing solutions for web services.
• Manage, operate, and optimize multi-region Kubernetes clusters to support high availability and scalability.
• Own and enhance continuous integration and continuous delivery (CI/CD) pipelines utilizing Argo CD and Helm.
• Implement infrastructure as code using Terraform on Amazon Web Services (AWS).
• Operate monitoring and logging ecosystems such as OpenSearch or ELK, Prometheus, Grafana, Splunk, and Kafka.
• Develop automation tools to proactively detect, troubleshoot, and resolve production issues.
• Enforce security standards through vulnerability management, platform hardening, and compliance checks.
• Collaborate with application, platform, and security teams to improve system reliability and performance.
• Participate in on-call rotations and lead incident response activities to ensure rapid resolution of issues.
• Contribute to system architecture design, operational best practices, and review processes for distributed systems.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Minimum of eight years of experience in DevOps, Site Reliability Engineering, or platform engineering roles.
• Extensive experience operating large-scale Kubernetes environments, with proficiency in container orchestration and resource tuning.
• Hands-on expertise with Helm chart management, multi-cluster operations, and pod scheduling.
• Strong knowledge of observability stacks such as OpenSearch/Elasticsearch, PrometheMimir, Grafana, Loki, Splunk, or Logstash.
• Proven experience designing ingestion pipelines, query optimization, and capacity planning for telemetry systems.
• Proficiency with infrastructure as code tools like Terraform or Ansible on AWS.
• Working knowledge of scripting and automation languages such as Python, Golang, or Bash.
• Experience supporting 24/7 production environments, including incident management, alert triage, and post-incident review processes.
• Ability to work in a fast-paced environment with strong problem-solving skills.

Compensation

Publishing Pay Range: $41.16 - $43.68 hourly

Location

This is a fully remote role and can be performed from an approved location.