Senior Platform Engineer

As a Senior Platform Engineer, you’ll be at the heart of our infrastructure - designing, building, and scaling the core platform that powers our AI-driven security products. You’ll collaborate closely with our AI, backend, and product teams to ensure our systems are performant, stable, reliable, and secure.

You’ll own key pieces of our cloud and service platform, automate everything you can, and continuously improve how we deliver, monitor, and scale mission-critical applications. If you’re passionate about building scalable, reliable infrastructure and enabling teams to deliver faster and with confidence, this is the role for you.

• Design and build scalable, secure, and high-performance infrastructure for our AI-native platform.

• Own AWS region expansion, harden the system for compliance, and improve elasticity, disaster recovery, and high-availability features.

• Develop tooling, services, and automation, including runbook automation and AI-assisted developer workflows, to improve platform reliability and developer experience.

• Partner with AI and backend engineers to streamline deployment, CI/CD, observability, and performance optimization.

• Drive initiatives around infrastructure-as-code, container orchestration, and operational excellence to reduce toil and enhance incident response.

• 5+ years of experience in Platform, DevOps, or Software Engineering roles.

• Experience working closely in and with development teams, and proven ability to change production code.

• Strong software development skills (Python, TypeScript, or similar).

• Deep experience with AWS cloud infrastructure.

• Expertise with Kubernetes, Docker, Terraform, and modern CI/CD systems such as GitHub Actions.

• Experience building observability and monitoring systems leveraging tools such as the full Grafana stack.

• Passion for developer experience, automation, and high-scale systems.

• Strong understanding of distributed systems, networking, and security fundamentals.

• Curiosity and drive to work at the intersection of AI and cybersecurity.
  

• Experience with AI/ML platforms or data-intensive systems.

• Knowledge of agent frameworks, LLM orchestration, or event-driven architectures.

• Familiarity with SOC operations, threat detection, or security automation tools.