Senior DevOps Engineer

Juvare • Atlanta, GA

33d • Hybrid

About The Position

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.

Requirements

• Strong hands-on experience with AWS and Azure
• Experience operating in FedRAMP High, DoD Impact Level 5 (IL5), or equivalent regulated environments
• Strong understanding of Authority to Operate (ATO) processes, compliance, and continuous monitoring (ConMon)
• Experience working within AWS GovCloud or secure boundary environments
• Operational experience with managed databases (backup/restore, replication, performance, and access management; Azure SQL and Aurora PostgreSQL preferred)
• Experience with infrastructure as code (Terraform)
• CI/CD pipeline experience (GitLab, GitHub)
• Experience building workflow automation and developer automation using tools like n8n, Replit, or similar
• Strong experience with containers and orchestration (Docker, Kubernetes, AKS, EKS, ECS/Fargate)
• Experience with monitoring and observability (Datadog, CloudWatch)
• Exposure to security tooling (WAF, SIEM, vulnerability management)
• Strong scripting skills (Python, Bash, Powershell)
• Experience in production operations (incident response, on-call, RCA)
• Strong understanding of networking, security, and system architecture
• Experience with MLOps pipelines (training, deployment, monitoring)
• Familiarity with tools like SageMaker, MLflow, Kubeflow, or similar
• Experience deploying models to production (real-time or batch)
• Understanding of data pipelines and model lifecycle management
• Strong sense of ownership in regulated, high-stakes environments
• Ability to balance compliance, security, and delivery speed
• Comfortable working across SysOps, Engineering, and Security teams

Nice To Haves

• 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

Responsibilities

• Build, operate, and continuously improve secure cloud platforms.
• Deliver reliable, scalable SaaS environments for commercial and federal customers.
• Partner across Engineering and Security teams.
• Support AI/MLOps workflows.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed