Description
MongoDB's Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer, sitting at the heart of its next-generation cloud storage architecture.
As the Site Reliability Engineering Manager for SLS, you will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas.
You will help grow and lead a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB's cloud storage architecture.
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 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
You may be a good fit if you
- Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams
- Possess a 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
- Have deep technical familiarity with Kubernetes ecosystems, containerization technologies, and modern IaC tooling (e.g., Terraform, Crossplane, or Operators)
- Have operated or supported stateful storage or database systems at scale and are comfortable with durability, consistency, and recovery trade-offs
- Excel at translating complex business and engineering requirements into actionable, phased technical roadmaps
- Have a high level of empathy, responsibility, ownership, and accountability
- Excellent verbal and written technical communication skills
Strong candidates may also have experience with
- Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures
- Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
- Designing secure, multi-tenant runtime environments at scale