Senior DevOps Engineer

Job Description

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

Full-time

Hybrid remote