Senior DevOps Engineer (Cortex)

The cloud security platform empowers teams through automation and security-as-code. We are looking for a Senior DevOps Engineer to design, scale, and secure our global infrastructure while setting the standard for performance, reliability, and engineering excellence across the organization.Your ImpactArchitect, implement, and optimize scalable, highly available cloud infrastructure solutions for enterprise environments.Take full end-to-end ownership of infrastructure initiatives, driving tasks from strategic conception, implementation, and QA, all the way through to production deployment.Manage complex production environments and execute seamless production upgrades at scale, ensuring zero-downtime and high availability.Drive cloud cost optimization, implementing strategies to maximize resource efficiency and reduce infrastructural overhead without compromising performance.Champion and implement AI initiatives and Agentic solutions to continuously enhance automation, operational efficiency, and infrastructure intelligence.Establish enterprise-grade reliability by defining and enforcing SLOs/SLIs, utilizing modern monitoring ecosystems, and leading incident response strategies.Spearhead the integration of advanced security measures, enforcing zero-trust architectures and championing security-as-code principles.Mentor and elevate the broader engineering team, establishing cross-departmental standards for infrastructure, deployment, and security.Partner directly with product leadership as a domain expert and power-user, shaping the strategic direction and feature development of our cloud security platform.Requirements: Your Experience5-8 years of progressive experience in DevOps, managing high-scale systems and mission-critical production environments.A strong sense of ownership with a proven track record of taking tasks end-to-end (from implementation and QA to production) while managing cloud costs and resources effectively.Extensive experience designing, scaling, and managing complex Kubernetes clusters and containerized workloads, with deep architectural expertise in GCP.Proven experience executing production upgrades at scale with a rigorous focus on system reliability and minimal disruption.Strong internal collaboration skills, with a focus on unblocking peers, leading technical deep-dives, and fostering a cohesive, high-trust environment within the DevOps squad and beyond.Expert-level proficiency in Linux system architecture, advanced network engineering, and automation development (Python, Go, or Bash).Mastery of Infrastructure as Code (IaC) and configuration management using Terraform, Ansible, and Helm to drive immutable infrastructure at scale.Proven track record of designing secure, high-velocity CI/CD pipelines from scratch using GitLab CI, Jenkins, or similar enterprise tooling.Hands-on experience working with modern monitoring and observability solutions, as well as managing distributed datastores at scale (BigQuery, MongoDB, Neo4j, or ElasticSearch).Practical experience or a strong technical interest in working with AI tools, AI initiatives, and implementing Agentic solutions.Demonstrated leadership ability with a history of driving architectural decisions, mentoring engineers, and supporting complex, multi-service production environments.This position is open to all candidates.