Mentoring, managing, and leading a team of SWEs & SREs with a broad range of expertise and experience
Triaging and troubleshooting complex production issues to ensure reliability and performance.
Working closely with our stakeholders across the organization to ensure our new capabilities are aligned to our competing constraints of reliability, security, and delivery velocity
Partnering directly with recruiting and people ops to hire and retain the best talent in the world
Keep sharp eyes on our metrics, including vulnerability scanning and security posture, cloud spend, RPO and RTO, and toil overhead, and ensure our projects are driving our metrics in the right direction
Supporting a 24x7 online environment as part of an on-call rotation
You are an ideal candidate if you
Platform-as-Product Mindset: Proven track record of building and scaling internal developer platforms (IDP) that treat internal engineering teams as customers, focusing on reducing cognitive load and improving developer velocity.
Engineering Excellence in Tooling: Deep experience in the "Software" part of SRE—leading teams to build robust, automated tooling for CI/CD orchestration, Kubernetes operators, or self-service infrastructure provisioning (IaC).
Automation First: A history of transitioning teams from manual "toil-heavy" operations to automated, code-driven workflows that interact safely with high-scale cloud production environments.
Are always willing to go the extra mile: see a problem, fix the problem.
Are passionate about encouraging the development of engineering peers and leading by example
Have experience managing teams running large-scale production Java/Tomcat and containerized services in AWS (EC2, ECS, KMS, Kinesis, RDS) or other cloud providers.
Have deep knowledge of CI/CD principles, Linux fundamentals, OS hardening, networking concepts, and IP protocols.
Minimum Required Knowledge, Skills, Abilities, and Qualities
Overall experience 8+ years & 2+ years of engineering management experience leading SWE teams
SRE, DevOps, or Platform Engineering teams, with the ability to remain hands-on technically.
Strong hands-on expertise in AWS and GCP, particularly Amazon EKS, Kubernetes, cloud-native infrastructure, and production operations.
Proven automation experience with Infrastructure as Code (e.g., Terraform), scripting, and CI/CD, with a strong focus on cloud and Kubernetes security, IAM, and security automation.
Strong leadership, communication, and problem-solving skills, with a BS in Computer Science or equivalent practical experience.
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