Senior Manager, DevOps
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.
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.
- Strong background operating large-scale SaaS platforms utilizing AWS/GCP, Kubernetes, CI/CD pipelines, and distributed systems.
- 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.
- Low-cost vision and dental plans.
- Paid Parental Leave (birth, adoptive & foster parents).
- One year of diaper delivery for new parents.
- Recurring monthly phone and internet allowance.
- Enhanced fertility and GLP-1 benefits.
- Annual Learning & Development stipend.
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