Job Opportunities API

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. Role Overview We are looking for a Sr. DevOps 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. Location Atlanta / Remote Must Have 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 & ConMon: Strong understanding of Authority to Operate (ATO) processes, compliance, and continuous monitoring (ConMon) GovCloud: Experience working within AWS GovCloud 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 (GitLab, GitHub) 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, CloudWatch) Security Tooling: Exposure to security tooling (WAF, SIEM, vulnerability management) Scripting: Strong scripting skills (Python, Bash, Powershell) 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 SageMaker, 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 Nice to Have Experience with LLMs / GenAI workflows (RAG, prompt engineering, fine-tuning) Familiarity with vector databases (Pinecone, Weaviate, OpenSearch) 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 Jira / Confluence experience What We're Looking For 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 SysOps, Engineering, and Security teams — you're a bridge, not a silo Additional Information: 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. na