Role OverviewWe 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.
LocationMust 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. 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.