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Devopsroles is seeking a Senior DevOps/SRE to design, operate, and scale cloud-native infrastructure and data platforms. The role focuses on reliability, automation, and platform performance across production environments.
The ideal candidate will lead Kubernetes clusters, manage multi-cloud infrastructure, build CI/CD pipelines, and implement IaC with Terraform and Helm, while advancing observability and incident response across global teams.
Join a fast-growing global leader in cybersecurity, trusted by some of the biggest names in the industry. In addition to some of the world’s largest enterprises and government agencies, more than 30% of the world’s top MSSPs rely on our platform. We’re at the forefront of protecting organizations against sophisticated cyber threats using cutting-edge AI and automation technologies. Our culture is built on diversity, openness, and collaboration, fostering creativity and innovation that drives real impact in the market..
We are seeking a highly skilled Senior DevOps / Site Reliability Engineer (SRE) to join our globally distributed engineering organization. This is a hands‑on senior-level role focused on building, operating, and scaling reliable cloud-native infrastructure and distributed data platforms.
The ideal candidate will have strong expertise in Kubernetes, cloud infrastructure, observability, automation, CI/CD, incident management, and infrastructure reliability. This role combines DevOps engineering practices with SRE principles to improve scalability, resiliency, operational efficiency, and platform performance across production environments.
The engineer will work closely with platform, development, and operations teams to drive automation, operational excellence, and reliability best practices for mission-critical systems.
We pride ourselves in recognizing our employees. Here are some examples of our benefits program:
The base compensation range for this role is USD 165,000-215,000 per year. Total compensation includes bonus opportunity and equity, and will vary based on candidate location.