Senior DevOps Engineer
Position Title: Senior DevOps Engineer
Location: Onsite San Francisco, CA (5 days/week)
Position Type: Full-Time
Start Timeline: ASAP
Work Policy: Onsite only
Relocation Support: Available
Sponsorship: Yes (Visa and Green Card supported)
Compensation: $170,000 $260,000 base + competitive equity
Role Summary
Seeking a Senior DevOps Engineer to lead infrastructure development across deployment, observability,
and CI/CD systems. This is a high-impact role responsible for scaling technical operations from the
ground up in a fast-paced, AI-driven environment. You will work closely with engineering leadership and
be fully onsite in San Francisco.
Why Join
- Extreme ownership: Build infrastructure from scratch with real product impact
- Cutting-edge tech: Work hands-on with LLMs and advanced AI tools
- Mission-driven: Solve a real-world pain point in B2B workflows
- Equity upside: Join a high-growth startup at a critical inflection point
Key Responsibilities
- Design and implement scalable Kubernetes infrastructure for single- and multi-tenant environments
- Build observability stacks including monitoring, alerting, and log aggregation
- Develop CI/CD pipelines and automated deployment systems
- Lead incident response and infrastructure reliability efforts
- Collaborate with engineering, AI research, and leadership to align systems with product goals
Required Qualifications
- 5+ years of DevOps experience, including at least one senior-level position
- Demonstrated experience building infrastructure from scratch at a startup
- Hands-on expertise with Kubernetes, CI/CD pipelines, and observability tools
- Proficient in JavaScript or similar programming languages
- Experience with cloud platforms (Azure and/or GCP preferred)
- Computer Science or Engineering degree from a top university
- High ownership mentality with strong execution capabilities
- Ability to work full-time onsite in San Francisco
Preferred Qualifications
- Experience in B2B SaaS or contract-heavy technology companies
- Familiarity with LLMs or machine learning infrastructure
- Knowledge of Infrastructure-as-Code tools (e.g., Pulumi)
- Background in scaling single-tenant infrastructure for enterprise use
Benefits
Medical, dental, and vision coverage
Wellness stipend
Unlimited PTO
Relocation support
Late-night Uber policy
Regular team dinners
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