Staff AI DevOps Engineer
Staff AI DevOps Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Kaseya is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI. Kaseyas best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success. Kaseya has achieved sustained strong double-digit growth over the past several years and is backed by Insight Venture Partners ) a leading global private equity firm investing in high-growth technology and software companies that drive transformative change in the industries they serve.
Founded in 2000 Kaseya currently serves customers in over 20 countries across a wide variety of industries and manages over 15 million endpoints worldwide. To learn more about our company and our award-winning solutions go to and for more information on Kaseyas culture.
Kaseya is not your typical company. We are not afraid to tell you exactly who we are and our expectations. The thousands of people that succeed at Kaseya are prepared to go above and beyond for the betterment of our customers.
WHAT YOULL DO:
Join the dynamic team at Kaseya as a Staff AI DevOps Engineer. Build the automated backbone of our AI platform driving CI/CD Infrastructure as Code (IaC) and observability to enable secure scalable and rapid deployment of intelligent agents. Youll lead the implementation of cutting-edge DevOps DevSecOps and MLOps practices that support continuous delivery resilient infrastructure and high-performance AI workloads. Your work will ensure our platform is production-ready cost-efficient and built for speed security and scale.
WHAT WE ARE LOOKING FOR:
Were looking for a DevOps engineer who thrives in cross-functional environments and brings a strong sense of ownership to infrastructure reliability and automation. Youre a clear communicator who can collaborate across AI platform and security teams document complex systems and present infrastructure strategies and metrics to technical leadership. You lead by example mentor others in best practices and drive continuous improvement across the stack.
THE SCHEDULE:
This position is 100% remote.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Design and maintain CI/CD pipelines to support rapid reliable delivery of AI platform components and intelligent agents
- Implement Infrastructure as Code (IaC) and GitOps practices to manage scalable secure and reproducible environments
- Build and manage Kubernetes-based infrastructure including custom operators and GPU workload orchestration
- Integrate MLOps tools and workflows to streamline the AI model lifecycle from training to deployment
- Deploy and maintain observability stacks for real-time monitoring tracing and alerting across distributed systems
- Enforce DevSecOps practices including automated security scanning policy-as-code and compliance automation
- Optimize cloud infrastructure for performance cost-efficiency and resilience
WHAT YOULL BRING:
- 5-7 years of experience in DevOps SRE or platform engineering
- Expert with CI/CD pipeline design and tools (e.g. Jenkins GitLab CI ArgoCD GitHub Actions)
- Deep Infrastructure as Code (IaC) experience (e.g. Terraform CloudFormation)
- Expert-level Kubernetes administration and workload management including custom controllers/operators
- Experience with MLOps tools and platforms (e.g. Kubeflow MLflow Seldon Core Vertex AI Pipelines SageMaker MLOps)
- Proficiency in implementing observability stacks (e.g. Prometheus Grafana Jaeger OpenTelemetry ELK)
- Advanced scripting skills (Python Bash Go)
- Strong understanding of cloud security best practices and automation (e.g. SAST DAST)
- Experience with GitOps workflows and cost optimization strategies for cloud-based AI/ML workloads
- Bachelors degree in Computer Science DevOps Engineering or a related field
- Preferred: Certified Kubernetes Administrator (CKA) DevOps Engineer certifications (AWS Azure GCP) or FinOps certification
- Additional certifications in MLOps platforms or cloud security are a plus
Nice to Have:
- Experience with GPU cluster management and scheduling (e.g. Slurm NVIDIA AI Enterprise MIG)
- Infrastructure for federated learning or edge AI
- Proficiency in policy-as-code frameworks (e.g. Open Policy Agent Kyverno)
- AI model serving optimization and inference acceleration (e.g. TensorRT ONNX Runtime)
- Experience building and managing serverless infrastructure for AI
- FinOps certification or strong practical experience
Join the Kaseya growth rocket ship and see how we are #ChangingLives !
Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race religion age ancestry gender sex sexual orientation national origin citizenship status physical or mental disability veteran status marital status or any other characteristic protected by applicable law.
Required Experience:
Staff IC
Employment Type
Full-Time
