Distributed Systems ML Infrastructure Engineer

OpenTeams · Remote · $145k–$250k

The role

OpenTeams is hiring a Distributed Systems ML Infrastructure Engineer to build core services for a containerized, API-first AI platform. The role involves designing and implementing services for workflow orchestration, data ingestion, model serving, and more, with a focus on portability across cloud and dedicated environments. U.S. citizenship and eligibility for security clearance are required, with an active TS/SCI clearance strongly preferred. The position is hybrid, with preferred locations in Washington DC, Denver, or Colorado Springs, and offers a salary range of $145,000-$250,000.

Pay: $145k–$250k
Location: Remote
Work mode: Hybrid
Employment: Contractor
Level: Senior
Sponsorship: Not offered
Clearance: Required

What we know that the posting doesn’t say

Seen todaystill listed on the employer’s careers page
Posted 5 days agothe first time we saw it

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Key skills

distributed systems
ml infrastructure
kubernetes
docker
api design
workflow orchestration
data ingestion
model serving
policy enforcement
audit logging
aws
python
go
open source

Who We Are Every organization runs on intelligence: years of accumulated knowledge, decisions, and context. As AI takes on more of that work, companies face a choice: rent that intelligence from vendors who keep the data, the context, and the results, or own it. OpenTeams exists to make ownership p…

Extracted from the employer’s posting. Read it in full on OpenTeams’s careers page

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