Senior MLOps Platform Engineer (Remote, Equity)

Jobot

Sterling (VA)

Remote

USD 150,000 - 175,000

Full time

14 days+

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Benefits offered by this job

100% remote (US-based)
Platform ownership
Competitive compensation
Medical/dental/vision insurance
Life, disability insurance
11 Paid holidays
Flexible time off
401k with 4% match
Home office stipend
Wellness stipend

Job summary

Jobot seeks an experienced DevOps/Platform Engineer to own the Azure-based platform, cost discipline, and deployment landings across environments. You will deploy, operate, and scale AKS clusters, networking, identity, and observability for a government-grade SaaS product.

In partnership with the AI Operations Engineer, you will drive IaC pipelines, budgeting, and security controls in a FedRAMP-conscious setup, delivering reliable, auditable deployments to government customers while maintaining

Qualifications

  • 5+ years in DevOps, platform engineering, or SRE in SaaS environments.
  • Deep Azure experience: AKS, networking, identity, monitoring; production Kubernetes.
  • Infrastructure as code: Terraform, Bicep, or similar; strong scripting; automate before documenting.
  • MLOps experience: deploying and operating LLM/ML systems in production.
  • Cost work: ability to point to cloud spend you found, explained, and reduced.
  • Experience in compliance-heavy environments (FedRAMP, StateRAMP, SOC 2 or similar).
  • Comfortable holding production access with discipline and auditability.

Responsibilities

  • Deploy and operate the Azure platform: AKS, networking, identity, storage, and environments from development through production.
  • Own infrastructure as code end-to-end; environments reproducible and drift detected.
  • Operate the AI infrastructure: self-hosted observability, model gateway, routing, and GovCloud paths.
  • Own cloud and AI cost: metering, budgets, unit economics, and remediation; cost as an engineering metric.
  • Harden production access and controls: least privilege, secrets management, audit trails.
  • Partner with AI Operations on the deploy-and-release path: Octopus Deploy, environment promotion, rollout, and rollback.
  • Build platform reliability: monitoring, alerting, incident response, capacity planning.
  • Think in governance: surfaces risk early and documents what you build.

Skills

DevOps
Platform engineering
SRE
Cost optimization
MLOps
FedRAMP compliance
Automation

Tools

Terraform
Bicep
Langfuse
Kubernetes

Job description

Jobot seeks an experienced DevOps/Platform Engineer to own the Azure-based platform, cost discipline, and deployment landings across environments. You will deploy, operate, and scale AKS clusters, networking, identity, and observability for a government-grade SaaS product.

In partnership with the AI Operations Engineer, you will drive IaC pipelines, budgeting, and security controls in a FedRAMP-conscious setup, delivering reliable, auditable deployments to government customers while maintaining

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