[Remote] Senior DevOps / MLOps Engineer
Note: The job is a remote job and is open to candidates in USA. SimpliGov is a company developing an AI-native product delivery model for government customers in a FedRAMP-conscious environment. The Senior DevOps / MLOps Engineer will own the Azure platform, including Kubernetes, infrastructure as code, AI serving, observability, security, reliability, deployment workflows, and cloud cost management.
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
- 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
- Comfortable holding production access, with the discipline that implies
- Experience in compliance-heavy environments (FedRAMP, StateRAMP, SOC 2, or similar) is a strong plus
Benefits
- Medical, dental, and vision insurance plans, with significant employer contributions for employees AND dependents (contributions based on base-level plan; buyup plans available at additional costs)
- Company-sponsored life/disabilities insurances
- 11 Paid holidays
- Flexible time off
- 401k plan with 4% employer match
- Monthly stipends for wellness and home office expenses
Company Overview