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Member of Technical Staff, Cloud Orchestration (Remote)

InferactRemote · US

$200K – $400KEngineeringStaffFull time
Source-verified: read directly from this employer's own ashby job board, not a repost.RemotePosted (1 month ago)Last verified (today)

At a glance

Location
Remote · US
Workplace
Remote
Pay
$200K – $400K
Employment type
Full time
Experience
Not stated
Education
Bachelor (or equivalent)
Job family
Engineering
Seniority
Staff
Posted by employer
25 August 2026
Last verified open
24 October 2026
Work from
US
Region and country
US
Team
Research & Engineering
Listed via
Ashby

What the employer wrote

Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware—a position that took years to build.

ABOUT THE ROLE

We're looking for an cloud orchestration engineer to build the operational backbone that keeps vLLM running reliably at massive scale. You'll design the systems for cluster management, deployment automation, and production monitoring that enable teams worldwide to serve AI models without friction. You'll ensure that vLLM deployments are observable, debuggable, and recoverable, turning operational complexity into infrastructure that just works.

SKILLS AND QUALIFICATIONS

Minimum qualifications:

- Bachelor's degree or equivalent experience in computer science, engineering, or similar.

- Strong experience with Kubernetes and container orchestration at scale.

- Experience designing and implementing custom Kubernetes operators.

- Proficiency in Python/Rust/Go and infrastructure-as-code tools (Terraform, Helm, etc).

- Experience managing GPU clusters and debugging hardware issues.

- Ability to work across cloud platforms (AWS, GCP, Azure) and on-premise infrastructure.

Preferred qualifications:

- Experience with ML-specific orchestration tools (Ray, Slurm).

- Knowledge of GPU scheduling, multi-tenancy, and resource optimization.

- Familiarity with vLLM deployment patterns and configuration.

- Track record of improving operational reliability for ML systems.

Bonus points if you have:

- Experience deploying inference systems on large-scale GPU (1,000+) clusters.

LOGISTICS

- Location: Fully remote, worldwide. We're timezone-flexible but expect regular overlap with Pacific Time for critical syncs.

- Compensation: We offer competitive compensations (salary + equity) compared to the local market conditions.

- Visa sponsorship: We sponsor visas on a case-by-case basis.

- Benefits: Inferact offers competitive benefits appropriate to your location, including health coverage where applicable.

Where this record came from

Read from Inferact's own Ashby job board on , and last confirmed still open on . The employer published it on 25 August 2026. Jobsearch.ing did not write, edit or rank this posting, and does not vet the employer. View the original posting.

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