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Senior DevOps / MLOps Engineer

Role overview

Qualifications

  • 5+ years in DevOps, platform engineering, or site reliability engineering in SaaS environments
  • Deep Azure experience: AKS, networking, identity (Entra), and monitoring
  • Infrastructure as code as your default (Terraform, Bicep, or similar), plus strong scripting
  • MLOps experience: deploying and operating LLM or ML systems in production

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
  • Operate the AI infrastructure layer: self-hosted observability and evaluation tooling
  • Own cloud and AI cost: metering, budgets, unit economics, and active remediation

About the company

SimpliGov logo

SimpliGov

GovTech & Civic Tech

We simplify government processes through online forms and workflow automation, eliminating errors, reducing costs and accelerating responsiveness to the community.

Company details

Company typeStartup
IndustryGovTech & Civic Tech
Company size11 - 50

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Job 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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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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