Senior MLOps Engineer, Remote Azure Platform Lead

Australia-Employment; Atlanta (GA); On-site; USD 150,000 - 175,000; Full time

Benefits offered by this job

Remote work (US based)

Competitive base salary + bonus + equ

401k with employer match

Monthly home office stipend

Monthly wellness stipend

Medical, dental, vision insurance

Job summary

Australia-Employment is seeking a Senior MLOps Engineer to own the Azure platform, cost discipline, and production reliability for a government-grade AI SaaS stack in Atlanta. This remote-friendly role focuses on AKS-based deployments, IaC pipelines, and ML/AI observability within a secure boundary.

You will drive automation, cost efficiency, and scalable infrastructure while collaborating with the AI operations team to manage deployments, rollout strategies, and governance across environments.

Qualifications

• 5+ years in DevOps, platform engineering, or site reliability engineering in SaaS environments.
• Deep Azure experience: AKS, networking, identity (Entra), and monitoring; you have run production Kubernetes
• Infrastructure as code as your default (Terraform, Bicep, or similar), plus strong scripting; you automate before you document
• MLOps experience: deploying and operating LLM or ML systems in production, including model gateways, inference infrastructure, or AI observability stacks
• Demonstrated cost work: you can point to cloud spend you found, explained, and reduced
• Experience in compliance-heavy environments (FedRAMP, StateRAMP, SOC 2, or similar) is a strong plus
• Comfortable holding production access, with the discipline that implies

Responsibilities

• Deploy and operate our Azure platform: AKS, networking, identity, storage, and environments from development through production
• Own infrastructure as code end to end: environments are reproducible, drift is detected, and nothing reaches an environment without platform visibility
• Operate the AI infrastructure layer: self-hosted observability and evaluation tooling (Langfuse), product telemetry, model gateway and per-workload routing, and compliant GovCloud inference paths
• Own cloud and AI cost: metering, budgets, unit economics, MACC drawdown strategy, and active remediation; cost is an engineering metric here, not a finance afterthought
• Harden production access and controls: least privilege, secrets management, audit evidence, and a FedRAMP-conscious security posture
• Partner with AI Operations on the deploy-and-release path: Octopus Deploy, environment promotion, progressive rollout, and rollback
• Build platform reliability: monitoring, alerting, incident response, and capacity planning
• Give the microservices decomposition the platform primitives it needs: service infrastructure, scaling patterns, and clean environment boundaries

Skills

Azure

AKS

Networking

Identity (Entra)

Monitoring

Infrastructure as code

MLOps

Cost optimization

FedRAMP compliance

Automation

Tools

Terraform

Bicep

Langfuse

Octopus Deploy

Job description

Australia-Employment is seeking a Senior MLOps Engineer to own the Azure platform, cost discipline, and production reliability for a government-grade AI SaaS stack in Atlanta. This remote-friendly role focuses on AKS-based deployments, IaC pipelines, and ML/AI observability within a secure boundary.

You will drive automation, cost efficiency, and scalable infrastructure while collaborating with the AI operations team to manage deployments, rollout strategies, and governance across environments.