SimpliGov LLC

Senior DevOps / MLOps Engineer

SimpliGov LLC Baltimore, Maryland, United States · $150K/yr

Government Administration · 51-200 employees

Yesterday
Remote devops Senior (5-10 yrs) Full-time United States
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About the role

You will own the Azure platform infrastructure, including Kubernetes, networking, and observability, while ensuring security and compliance in a FedRAMP-conscious environment. You will also manage AI infrastructure, cloud costs, and partner with AI Operations to streamline the deployment and release lifecycle.

What they look for

Azure Kubernetes AKS DevOps MLOps Infrastructure as code Terraform Bicep Networking Observability FedRAMP SaaS Cloud cost management Identity management Automation Incident response

Requirements

Candidates must have 5+ years of experience in DevOps, platform engineering, or SRE within SaaS environments, with deep expertise in Azure and Kubernetes. Strong proficiency in infrastructure as code, MLOps, and experience working in compliance-heavy environments like FedRAMP is required.

Benefits

Medical insurance Dental insurance Vision insurance Company-sponsored life insurance Disability insurance Paid holidays Flexible time off 401k plan Wellness stipend Home office stipend

Full description

Role Overview:  

You will own the Azure platform behind SimpliGov’s AI-native delivery model—infrastructure, Kubernetes, networking, observability, AI serving, and cost discipline. This is hands-on production engineering within a FedRAMP-conscious environment, where security, auditability, and reliability are core responsibilities.

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 

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 

Key Competencies 

  • Treats environment integrity as sacred: no invisible changes, no snowflake servers, no heroics that cannot be audited 
  • Cost literacy: reads a cloud bill the way an engineer reads a stack trace 
  • Automates first: your instinct is a pipeline or a policy, not a runbook step 
  • Thinks in the open: surfaces risk early and documents what you build 
  • Calm in production incidents; rigorous in the postmortem 

What This Role Is NOT 

This is not a ticket-queue operations role and not a NOC seat. If your model of DevOps is executing change requests that other people design, this is not the fit. It is also not a research MLOps role: the AI infrastructure here serves a shipping product for government customers, with the reliability and compliance expectations that implies 

How We Work 

We run an AI-native product development lifecycle. Autonomous agents participate in planning, coding, validation, and release; humans own judgment, standards, and direction. Work moves through a Plan-and-Review cadence rather than ceremony-heavy Agile. Two standards are non-negotiable: you own and can explain everything you ship, no matter what produced it, and you think in the open, surfacing uncertainty early rather than burying it.  

What We Offer:  

  • 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 

Legal Disclaimers: 

SimpliGov does not sponsor applicants for work visas.

The US base salary range for this full-time position begins at $150,000.00 + bonus + benefits. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.   

SimpliGov participates in the federal government's E-Verify program, which confirms employment authorization of all newly hired employees and most existing employees through an electronic database maintained by the Social Security Administration and Department of Homeland Security. For new hires, the E-Verify process is completed in conjunction with the Form I-9 Employment Eligibility Verification on or before the first day of work. It is not used as a screening tool.

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