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. 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
- 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
- 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
- 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
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 recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
EEO Statement
Juvare is deeply committed to building a diverse and inclusive team. We believe in equal opportunity for all applicants and encourage individuals from underrepresented groups in technology to apply. As an equal opportunity employer, we celebrate diversity and are committed to building and maintaining a diverse and inclusive workforce. All qualified applicants and employees will receive consideration for employment regardless of—and will be free from discrimination on account of—their race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, physical condition, developmental disability, genetic information, or any other category protected under applicable law.
Any individuals with a disability requiring a reasonable accommodation to assist with their job search or application for employment should send an e-mail to [email protected]. The e-mail should include a description of the requested accommodation and the position you’re applying for or interested in.
Affirmative Action: Juvare’s Affirmative Action Plan advances our principles of equal opportunity and supports that goal by enlarging our talent pool.
Top Skills
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
