Senior Platform Engineer

About Legit Security

We are a well-funded cybersecurity startup backed by top-tier VCs. Our mission is to solve some of the most challenging problems in the security of software

– how to make AI-first organizations release applications fast and not be bothered by security, leveraging AI agents to create secure code and fix vulnerabilities.

We are in a fast-growing, new space and looking to lead this new era of application security where AI write code.

We are looking for an experienced Platform Engineer who can join quickly, operate independently, and deliver high quality work. This role focuses on building, maintaining, and improving our cloud and Kubernetes based platform using industry standard tooling and modern DevOps practices

Requirements:

About You

• Expert level knowledge of Kubernetes internals and AWS services (EKS, IAM, VPC, networking, autoscaling, security, cost management).
• Strong hands on experience with IaC and GitOps workflows (Terraform, Crossplane, Pulumi, ArgoCD or FluxCD).
• Proven industry experience with production grade tooling (Helm, Docker, ArgoCD or FluxCD, CI/CD pipelines).
• Solid programming skills, preferably Python and Go, including experience writing production grade services, scripts, automations, and operators.
  
  

• Ability to independently design and implement platform architecture end to end, including networking, observability, security, and reliability.
• Strong understanding of cloud native patterns (operators, CRDs, service meshes, sidecars, admission controllers).
• Hands on experience with monitoring and observability stacks (Prometheus, Grafana, Loki, OpenTelemetry).
• Strong background in CI/CD design and maintenance (GitHub Actions, GitLab CI, Jenkins, CircleCI).
• Working knowledge of container security and platform hardening (image scanning, SBOMs, supply chain security, IAM best practices).
• Experience running and optimizing multi environment infrastructure (development, staging, production) with clear operational processes.
• Ability to troubleshoot complex production issues across networking, Kubernetes, cloud services, and application layers.
• Familiarity with incident management, on call rotations, SRE principles, and building reliable autom