Senior DevOps Engineer Atlanta or Remote

Juvare is a SaaS software company focused on developing innovative enterprise resilience solutions for government agencies, corporations, healthcare providers, and higher education. Juvare solutions have supported over 500,000 emergency response incidents in all 50 states and 20 countries worldwide. Juvare helps our clients prepare, connect, and respond to protect people, property, and brands.

We are looking for a Sr. Dev Ops Engineer to help build, operate, and continuously improve the secure cloud platforms that power Juvare’s mission‑critical enterprise resilience solutions. In this role, you’ll partner across Engineering and Security to deliver reliable, scalable SaaS environments for commercial and federal customers
, with a proven track record operating in regulated settings. Experience supporting AI/MLOps workflows is a plus.

• Atlanta / Remote

• Cloud Platforms: Strong hands‑on experience with AWS and Azure
• Regulated Environments: Experience operating in FedRAMP High, DoD Impact Level 5 (IL5), or equivalent regulated environments
• Compliance & Con Mon: Strong understanding of Authority to Operate (ATO) processes, compliance, and continuous monitoring (Con Mon)
• Gov Cloud: Experience working within AWS Gov Cloud or secure boundary environments
• Databases: Operational experience with managed databases (backup/restore, replication, performance, and access management; Azure SQL and Aurora PostgreSQL preferred)
• Infrastructure as Code: Experience with infrastructure as code (Terraform)
• CI/CD Pipelines: CI/CD pipeline experience (Git Lab, Git Hub)
• Automation (AI‑Enabled): Experience building workflow automation and developer automation using tools like n8n, Replit, or similar
• Containers & Orchestration: Strong experience with containers and orchestration (Docker, Kubernetes, AKS, EKS, ECS/Fargate)
• Monitoring & Observability: Experience with monitoring and observability (Datadog, Cloud Watch)
• Security Tooling: Exposure to security tooling (WAF, SIEM, vulnerability management)
• Production Operations: Experience in production operations (incident response, on‑call, RCA)
• Architecture: Strong understanding of networking, security, and system architecture
• AI / MLOps:
  • MLOps Pipelines: Experience with MLOps pipelines (training, deployment, monitoring)
  • Tools: Familiarity with tools like Sage Maker, MLflow, Kubeflow, or similar
  • Model Deployment: Experience deploying models to production (real‑time or batch)
  • Data & Lifecycle: Understanding of data pipelines and model lifecycle management

• Experience with LLMs / GenAI workflows (RAG, prompt engineering, fine‑tuning)
• Familiarity with vector databases (Pinecone, Weaviate, Open Search)
• Exposure to AIOps or AI‑driven automation
• Experience with data platforms (Databricks, Snowflake, Redshift)
• GCP experience a plus; comfort operating with a cloud‑agnostic mindset
• Multi‑cloud or hybrid architecture experience
• Cost optimization and performance tuning

• Ownership Mindset:
  Strong sense of ownership in regulated, high‑stakes environments — you treat the platform like it’s yours
• Compliance + Speed:
  Ability to balance compliance, security, and delivery speed without sacrificing one for the other
• Cross‑Team
  
  Collaboration:
  
  Comfortable working across Sys Ops, Engineering, and Security teams — you’re a bridge, not a silo

This position requires access to information that is controlled by the Export Administration Regulations (“EAR”). A candidate must qualify as a “U.S. Person” or be otherwise eligible to access EAR covered materials through an EAR exception or license. A “U.S. Person” as defined by the EAR includes a U.S. Citizen, U.S. national, lawful permanent resident, refugee, or asylee.

As the Company is a partner with the United States government, this position may require access to sensitive government information. Accordingly, candidates must be capable of passing an SF‑85 background check and obtaining public trust clearance if required.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our…