Team Lead, Site Reliability Engineering - Storage Layer Service

Responsibilities

• Build and lead a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers
• Define and drive a clear technical vision and comprehensive roadmap for our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
• Contribute through hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges
• Act as the primary liaison for the Storage Layer Services SRE team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations

Requirements

• 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams
• Customer-focused mindset, treating internal developers as your primary users
• Value efficiency in processes and operations, and have a track record of optimizing team workflows
• Prefer automation over manual processes, fostering a culture of building software solutions to eliminate toil
• Deep technical familiarity with Kubernetes ecosystems, containerization technologies, and modern IaC tooling (e.g., Terraform, Crossplane, or Operators)
• Operated or supported stateful storage or database systems at scale and comfortable with durability, consistency and recovery trade-offs
• Excel at translating complex business and engineering requirements into actionable, phased technical roadmaps
• High level of empathy, responsibility, ownership, and accountability
• Excellent verbal and written technical communication skills

Nice-to-Haves

• Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale