We are looking for an experienced Senior DevOps Engineer to join our DevOps team in the Posture R&D Group, who is passionate about software design, development and deployment. The role goes beyond traditional DevOps – it focuses on building the infrastructure and platforms that enable AI models and autonomous agents to run in production at scale, across both cloud and on-prem environments. The job involves writing production-grade modern DevOps solutions that will be shipped to the cloud and on-prem solutions, while working with cutting-edge technologies and architectures that push the boundaries of AI-driven cybersecurity systems.
Responsibilities
Build the best solutions for our production platform, enabling high-scale, AI-driven systems and agents to operate reliably in production-scale environments
Everything as a code approach (IaC): Run our infrastructure with a wide range of technologies including Terraform, and Kubernetes
Build and maintain tools for automation, deployment, monitoring, and operations, with a strong focus on scalability, resilience, and observability of distributed system.
Troubleshoot complex issues in our development, production, and test environments, including large-scale, distributed, and AI-integrated systems
Excellent communication and people skills.
Responsibilities
Build the best solutions for our production platform, enabling high-scale, AI-driven systems and agents to operate reliably in production-scale environments
Everything as a code approach (IaC): Run our infrastructure with a wide range of technologies including Terraform, and Kubernetes
Build and maintain tools for automation, deployment, monitoring, and operations, with a strong focus on scalability, resilience, and observability of distributed system.
Troubleshoot complex issues in our development, production, and test environments, including large-scale, distributed, and AI-integrated systems
Excellent communication and people skills.
Requirements:
8+ of years experience with DevOps technologies.
Extensive background leading the design, build, and evolution of end-to-end DevOps platforms, including infrastructure, tooling, and operational frameworks across the software lifecycle.
Deep expertise with one of the major cloud providers: AWS (preferred), GCP, Azure.
Extensive experience with modern deployment strategies (GitOps, blue/green, canary, Kubernetes-based deployments)
Strong experience designing and optimizing end-to-end CI/CD pipelines, enabling high velocity, reliable software delivery.
Experienced with bootstrapping projects, introducing new technologies and building systems from scratch.
Background in working with AI components and understanding the challenges of bringing AI workloads into production.
Good coding capabilities (Python, Bash, etc.)
Experience mentoring engineers, leading cross-functional initiatives, and influencing technical direction.
Advantages:
Experience with on-prem environments and solutions.
Prior experience with endpoint security products (agents, sensors, collectors).
Tech Stack: AWS, Kubernetes, EKS, Jenkins, IaC, GitHub, Terraform, Python, Docker, ArgoCD, MongoDB, RabbitMQ, Redis, Go, Neo4J, AI, and more.
8+ of years experience with DevOps technologies.
Extensive background leading the design, build, and evolution of end-to-end DevOps platforms, including infrastructure, tooling, and operational frameworks across the software lifecycle.
Deep expertise with one of the major cloud providers: AWS (preferred), GCP, Azure.
Extensive experience with modern deployment strategies (GitOps, blue/green, canary, Kubernetes-based deployments)
Strong experience designing and optimizing end-to-end CI/CD pipelines, enabling high velocity, reliable software delivery.
Experienced with bootstrapping projects, introducing new technologies and building systems from scratch.
Background in working with AI components and understanding the challenges of bringing AI workloads into production.
Good coding capabilities (Python, Bash, etc.)
Experience mentoring engineers, leading cross-functional initiatives, and influencing technical direction.
Advantages:
Experience with on-prem environments and solutions.
Prior experience with endpoint security products (agents, sensors, collectors).
Tech Stack: AWS, Kubernetes, EKS, Jenkins, IaC, GitHub, Terraform, Python, Docker, ArgoCD, MongoDB, RabbitMQ, Redis, Go, Neo4J, AI, and more.
This position is open to all candidates.
