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Established in 1977 and headquartered in Ottawa, Ontario, Canada, Versaterm is a global public safety solutions company supporting agencies in transforming thei
Senior DevOps/MLOps Engineer
Location
United States
Posted
121 days ago
Salary
0
Seniority
Senior
Job Description
Senior DevOps/MLOps Engineer
Versaterm
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description - Work alongside DevOps and engineering teams to ensure our platforms, repositories and CI/CD pipelines are secure by default while remaining easy to build, test, and deploy against. - Identify security risks through tools, audits, and monitoring, and drive them to resolution — whether that means changing a policy, updating infrastructure, or improving a pipeline. - Take ownership of the security posture across multiple AWS accounts and continuously improve it over time. - Design and maintain security guardrails around IAM, logging, monitoring, and encryption. - Manage repository-level security scanning (SAST, dependency scanning, secrets detection) using tools such as Aikido or similar, and ensure findings are actionable. - Support security and compliance initiatives (e.g., SOC 2, TX-RAMP, or similar) by implementing and maintaining required technical controls and automation, in partnership with a Security Analyst. - Partner with DevOps teams to secure Kubernetes clusters, with a strong focus on Rancher. - Improve security visibility through monitoring, logging, and reporting. - Automate security controls and validations using Infrastructure as Code and scripting. - Help document security standards, patterns, and operational runbooks. Qualifications - 5+ years experience in cloud infrastructure (AWS and/or Azure). - Strong hands-on experience with Kubernetes (EKS or AKS). - Strong hands-on experience with cloud infrastructure. - Experience deploying production-grade APIs (API Gateway/APIM). - Experience with managed AI services (Bedrock, Azure OpenAI, SageMaker, Azure ML). - Experience implementing CI/CD pipelines (GitHub Actions, Azure DevOps, etc.). - Strong understanding of IAM, RBAC, and cloud security best practices. - Experience with containerization (Docker) and infrastructure-as-code (Terraform, Bicep, or CloudFormation). - Experience building or operating an internal developer platform. - Experience with MLOps tooling (MLflow, model registry, evaluation pipelines). - ISO, SOC, NIST framework familiarity. - Experience implementing RAG architectures and vector databases. - Experience implementing AI governance, logging redaction, and content filtering. - Multi-cloud architecture experience. Company Description Versaterm is a global public safety solutions company helping agencies transform how they serve their communities. Since 1977, we’ve been building an ecosystem of intuitive tools designed for public safety agencies, forensic labs, court systems, schools and other institutions. Our teams are driven by innovation, expertise and an unwavering commitment to customer success. Versaterm does not use AI in the recruitment process. All stages of recruitment decisions are lead by people, including our qualified acquisition team and our experienced hiring managers. Versaterm is an equal opportunity employer and is committed to equity, diversity, inclusion, and a barrier-free workplace. Accommodations are available upon request throughout all stages of the recruitment process and apply to the terms and conditions of employment. For more information, please contact info@versaterm.com .
Job Requirements
- 5+ years experience in cloud infrastructure (AWS and/or Azure).
- Strong hands-on experience with Kubernetes (EKS or AKS).
- Strong hands-on experience with cloud infrastructure.
- Experience deploying production-grade APIs (API Gateway/APIM).
- Experience with managed AI services (Bedrock, Azure OpenAI, SageMaker, Azure ML).
- Experience implementing CI/CD pipelines (GitHub Actions, Azure DevOps, etc.).
- Strong understanding of IAM, RBAC, and cloud security best practices.
- Experience with containerization (Docker) and infrastructure-as-code (Terraform, Bicep, or CloudFormation).
- Experience building or operating an internal developer platform.
- Experience with MLOps tooling (MLflow, model registry, evaluation pipelines).
- ISO, SOC, NIST framework familiarity.
- Experience implementing RAG architectures and vector databases.
- Experience implementing AI governance, logging redaction, and content filtering.
- Multi-cloud architecture experience.
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