Infrastructure/DevOps Engineer, Abnormal Security

• This role is ideal for someone who thrives at the intersection of systems engineering and AI enablement, and who loves solving complex operational challenges to unlock innovation across the company
• A skilled Infrastructure/DevOps Engineer with a solid background in cloud infrastructure and platform engineering
• You’re someone who loves building scalable systems that help other engineers move faster and work more efficiently
• You thrive in collaborative, cross-functional environments and have a customer-first mindset—your customers are internal teams, and your goal is to remove blockers and boost productivity
• You’re passionate about automation, self-service tools, and building reliable systems
• You value security, observability, and operational excellence, and you communicate clearly through both documentation and collaboration
• You stay up to date with trends in DevOps and AI infrastructure, and you're driven by impact, ownership, and continuous improvement—always moving fast without sacrificing quality
• 4+ years of experience in DevOps, SRE, or Infrastructure Engineering roles
• Proficiency with cloud providers (AWS preferred), Kubernetes, and Docker
• Experience with infrastructure as code tools (Terraform, Ansible, or Pulumi)
• Strong scripting skills in Python, Bash, or similar
• Familiarity with CI/CD systems such as GitHub Actions, Jenkins, or CircleCI
• Understanding of networking, security, and identity management in cloud environments
• Experience supporting ML workloads and GPU-based infrastructure
• Ability to troubleshoot complex system issues in a distributed environment
• Comfortable working across functional teams and communicating with technical and non-technical stakeholders

Desirable

• We’re looking for an Infrastructure/DevOps Engineer to join our IT team supporting AI platforms at Abnormal Security
• In this high-impact role, you will enable our AI software engineers to move fast by building and maintaining reliable, scalable, and secure infrastructure
• You will partner closely with IT, security, and AI/ML engineering teams to ensure that our foundational systems support experimentation, deployment, and monitoring of advanced AI tools and solutions
• Architect and manage infrastructure that supports AI/ML pipelines, tools, and data platforms
• Implement and maintain containerization (e.g., Docker) and orchestration (e.g., Kubernetes) environments
• Develop CI/CD systems that integrate with ML workflows and ensure reproducible AI experiments
• Collaborate with security and compliance teams to ensure infrastructure meets data protection standards
• Automate provisioning and deployment using IaC tools like Terraform or Pulumi
• Monitor and troubleshoot infrastructure issues with tools like Prometheus, Grafana, and ELK stack
• Partner with AI and software engineers to optimize platform performance and resource utilization
• Maintain clear, accessible documentation to scale platform knowledge across the org