Senior DevOps Engineer (Google Cloud Platform)
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Requirements
• Has a proven track record implementing low-toil, infrastructure as code cloud infrastructure on GCP • Builds secure-by-default environments with strong IAM design, least privilege, and guardrails • Understands GCP networking deeply, including shared VPC design, segmentation, routing, and private connectivity patterns • Is comfortable operating production systems with an observability-first mindset • Enjoys cross-functional collaboration with distributed teams across infrastructure, engineering, and security • Can lead technical initiatives end-to-end while remaining hands-on • Ideally has experience with BigQuery and Bigtable in production environments Key responsibilities: Cloud Infrastructure and Reliability: • 5+ years in cloud engineering, SRE, DevOps, or infrastructure engineering roles with significant GCP experience • Strong hands-on experience with GCP IAM, including service accounts, custom roles, and least privilege design • Strong understanding of GCP networking, including VPC design, routing, firewalling, load balancing, and private connectivity patterns • Experience implementing cloud security controls and best practices (logging, encryption, key management, policy guardrails) • Proficiency in infrastructure-as-code and automation (Terraform strongly preferred) and scripting (Python, Bash, or Go) • Experience operating production environments with strong troubleshooting skills and an observability mindset Preferred: • Preferred: • Experience with BigQuery and Bigtable (security, access management, performance tuning, and operations) • Experience with Kubernetes on GKE • Familiarity with SIEM/SOAR tooling or cloud security posture management approaches • Google Cloud certifications are a plus (Professional Cloud Architect, Professional Cloud Security Engineer, Professional Cloud Network Engineer, etc.) • Experience in agile teams (Scrum, Kanban) and fast-moving scale-up environments • Hands-on GitLab experience is a plus • As well as being a part of something exciting everyday, you will also receive the following benefits: • Annual salary of $125,000 - $160,000 + bonus • A remote first culture! • Health, Dental and Vision Insurance • 13 Paid Holidays • Company volunteer days • $125,000 - $160,000 USD
Responsibilities
• Design, implement, and operate production GCP infrastructure with high availability, scalability, and resilience • Ensure high reliability and performance of services, proactively resolving issues before customer impact • Participate in on-call rotations and drive post-incident reviews and blameless post-mortems • Collaborate with other engineers to ensure cross-cloud consistency in areas such as IAM philosophy, tagging, observability standards, Terraform patterns, and security controls. IAM and Security Implementation: • IAM and • Security Implementation: • Design and maintain IAM strategies (least privilege, service accounts, role design, separation of duties) • Implement and operationalize security controls such as organization policies, audit logging, and key management • Partner with security teams to meet compliance requirements and improve cloud security posture Networking Strategy Networking Strategy and Architecture: • Networking Strategy and Architecture: • Architect GCP networking patterns including VPCs, shared VPCs, firewall policies, routing, load balancing, and private service access • Drive secure connectivity patterns between services and environments (prod/non-prod), including hybrid connectivity where applicable • Troubleshoot complex network and connectivity issues across cloud servicesAutomation and Tooling: • Automation and Tooling: • Lead automation initiatives for provisioning and operational tasks using infrastructure-as-code and CI/CD pipelines • Build and maintain tooling and standards for observability (metrics, logs, traces, dashboards, and alerting) • Continuously improve developer experience through reusable modules, templates, and documentationData Platform Enablement (Preferred): • Data Platform Enablement (Preferred): • Support and optimize cloud data services such as BigQuery and BigTable, including security, access patterns, and performance considerations • Collaborate with engineering and analytics stakeholders on scalable data workflows and governance Qualifications and experience Required: