Team Lead, Site Reliability Engineering - Storage Layer Service
MongoDB
New York City, USA
$151,000—$297,000 usd; not specified; equity, espp...
On-site
Lead and grow a team of sres
Define technical vision and roadmap
Hands-on technical contributions
As the Lead Site Reliability Engineer 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
Job Summary
As the Lead Site Reliability Engineer 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.
Build and lead a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers.
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.
Matching Summary
As the Lead Site Reliability Engineer 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.
Salary
$151,000—$297,000 USD; Not specified; Equity, ESPP, PTO, parental leave, fertility assistance, 401(k), mental health counseling, health benefits
Skills & Requirements
Must-have
Lead and grow a team of SREs
Define technical vision and roadmap
Hands-on technical contributions
Kubernetes and containerization expertise
Operate stateful storage systems at scale
Translate requirements into roadmaps
Nice-to-have
Customer-focused mindset
Value efficiency and automation
High level of empathy and ownership
Excellent communication skills
Leading major architectural shifts
Multi-cloud environment experience
Key Requirements
10+ years of experience in software and distributed systems
2+ years managing engineering teams
Deep technical familiarity with Kubernetes ecosystems
Operated stateful storage or database systems at scale