True Talent Solutions Partners
Lead Software Engineer, Platform
Lead platform engineer at an AI/ML startup, owning and scaling the infrastructure behind document-processing workloads — databases, task orchestration, scheduling, and cloud deployments — in partnership with ML engineers. Requires 5+ years of distributed-systems experience and Python (or deep Go/Rust).
- Compensation
- $220K–$320K / yr
- Location
- San Francisco
- Work setup
- Onsite
- Seniority
- Lead
- Employment
- Full time
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- At least 5 years of platform or backend engineering experience, including distributed systems
- Python proficiency, or deep Go or Rust expertise with willingness to work in Python
- Experience building and scaling core infrastructure, task orchestration, and reliable platforms
- Application-level engineering experience in addition to infrastructure work, plus on-call experience
- Background in a startup or other fast-moving environment, with experience supporting systems at scale
Nice to have
- Experience with cloud infrastructure and model-serving optimization
Full description
About the Role
Join a platform team at an AI/ML startup, helping build and strengthen the systems behind document processing. You will partner with ML engineers to make customer workloads fast, reliable, and cost efficient.
What You'll Do
- Own and improve the platform that runs document processing workloads, with a focus on speed, reliability, and cost efficiency.
- Work with ML teams to serve in-house models efficiently and integrate them into production pipelines.
- Build and maintain infrastructure for databases, task orchestration, workload scheduling, and cloud deployments.
- Improve distributed systems as workload volume grows, addressing latency, reliability, and scaling challenges.
- Join an on-call rotation and take end-to-end ownership of platform health.
What We're Looking For
- At least 5 years of platform or backend engineering experience, including work on distributed systems.
- Python proficiency, or deep Go or Rust expertise and willingness to work in Python.
- Experience building and scaling core infrastructure, task orchestration, and reliable platforms.
- Application-level engineering experience in addition to infrastructure work, as well as on-call experience.
- Background in a startup or other fast-moving environment, with experience supporting systems at scale.
- Experience with cloud infrastructure and model-serving optimization is valuable.
Compensation & Benefits
Base salary: $220,000 to $320,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.