Remote Senior MLOps Engineer — Azure Platform

Jobot; Atlanta (GA); Remote; USD 150,000 - 175,000; Full time

Benefits offered by this job

Remote work (US based)

Equity options

Bonuses

Medical/dental/vision insurance

401k with match

Home office stipend

Wellness stipend

Job summary

Jobot is seeking a seasoned DevOps/Platform Engineer to own the Azure platform, cost discipline, and governance for a government-facing, AI-driven SaaS product. You’ll manage AKS, infrastructure as code, and observability while ensuring compliance and scalable delivery.

You will collaborate with an AI Operations Engineer to ship a reliable platform with auditable changes, least privilege, and secure deployment pipelines in a fully remote US-based setting.

Qualifications

• 5+ years in DevOps, platform engineering, or SRE in SaaS environments.
• Deep Azure experience: AKS, networking, identity, monitoring.
• Infrastructure as code with Terraform/Bicep or similar; strong scripting.
• MLOps: deploying and operating ML/LLM systems in production.

Responsibilities

• Deploy and operate our Azure platform: AKS, networking, identity, storage, environments from development through production.
• Own infrastructure as code end to end; environments are reproducible and changes are auditable.
• Operate AI infrastructure: observability stacks, telemetry, model gateway, per-workload routing.
• Own cloud and AI cost: metering, budgets, unit economics; treat cost as an engineering metric.
• Harden production access and controls: least privilege, secrets management, audit trails.
• Partner with AI Operations on deploy-and-release: Octopus Deploy, environment promotion, progressive rollout.
• Build platform reliability: monitoring, alerting, incident response, capacity planning.

Skills

DevOps

SRE

Cloud platforms

Cost management

FedRAMP

Azure

Education

Bachelor's degree in CS/Engineering

Tools

Terraform

Bicep

Entra

Job description

Jobot is seeking a seasoned DevOps/Platform Engineer to own the Azure platform, cost discipline, and governance for a government-facing, AI-driven SaaS product. You’ll manage AKS, infrastructure as code, and observability while ensuring compliance and scalable delivery.

You will collaborate with an AI Operations Engineer to ship a reliable platform with auditable changes, least privilege, and secure deployment pipelines in a fully remote US-based setting.