Senior Asset Pipeline Engineer
Design and own the OpenUSD-based asset pipeline for a high-fidelity sensor simulation platform. Build automated DCC-to-engine pipelines, custom schemas, material conversion, and validation systems at library scale.
Team Lead, Site Reliability Engineering - Storage Layer Service
Leads a team of SREs for MongoDB's Storage Layer Services, defining SLOs, capacity plans, and roadmaps for multi-tenant distributed storage systems underpinning Atlas. Requires 10+ years in distributed systems and 2+ years managing teams, with expertise in Kubernetes and IaC tools.
151k – 297kBoston, MACharlotte, NCNew York, NY+3 moreDevOps / SREHybrid10+ YOE
About the role
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
Skills
KubernetesTerraformCrossplaneAWSGCPAzureDistributed SystemsContainerizationIacStorage SystemsMongoDBOperators
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