Lead DevOps strategy and team to improve engineering velocity, platform reliability, and operational efficiency across multi-cloud (AWS/GCP) environments. Drive IaC, Kubernetes delivery, observability, AI-powered tooling adoption, and cross-functional collaboration.
155k – 185k
Remote6+ YOEDevOps / SRE
About the role
Responsibilities
Own the DevOps roadmap across CI/CD, infrastructure automation, release workflows, and environment management with a clear focus on engineering velocity, reliability, and operational efficiency.
Lead the DevOps team while partnering closely with Engineering, SRE, Platform, and Product teams to remove production bottlenecks and raise automation standards across the organization.
Cultivate resilient multi-cloud practices across AWS and GCP, driving infrastructure as code (IaC), Kubernetes-based delivery, and modern operational tooling.
Strengthen observability, uptime discipline, and incident response while leading cloud cost and capacity optimization efforts as the platform scales.
Cultivate team capabilities, manage project plans, and build a high-accountability engineering culture that scales fluidly with company needs.
Evaluate and implement AI powered DevOps tools to improve deployment, monitoring, and incident response processes.
Leverage AI and machine learning solutions for predictive analytics, anomaly detection, capacity planning, and root-cause analysis.
Establish governance, security, and compliance standards for AI enabled infrastructure and operations.
Monitor emerging AI technologies and identify opportunities to improve operational efficiency and reduce manual effort.
Requirements
6+ years of experience leading teams in DevOps, cloud operations, or platform engineering, with direct accountability for performance and delivery.
Practical experience with infrastructure as code (e.g., Terraform, Ansible), scripting (Python or Go), observability platforms, and incident management.
Hands-on experience with AI-assisted engineering tools for code generation, documentation, knowledge management, and operational support.
Proven ability to evaluate emerging AI technologies and drive adoption of practical AI solutions that improve team productivity and operational outcomes.
Nice-to-Haves
Multi-cloud environment experience supporting live migrations or cloud transformations across both AWS and GCP.
Strong, hands-on foundational background as a DevOps, infrastructure, or software engineer prior to transitioning into leadership.
Experience navigating fast-paced, high-growth SaaS environments or startups where speed and scale intersect.
Benefits
Competitive compensation package, including RSUs for all employees.
Remote-first environment.
Regular team on-sites, company-wide events, and intentional gatherings.
Unlimited Paid Time Off (PTO).
Generous health and welfare plans, including one employer-paid “employee-only” plan.
Best-in-class Health Savings Account (HSA) employer contribution.
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