Senior Security Engineer, Infrastructure

We are seeking a hands-on Senior Security Engineer to strengthen the security, reliability, and operational resilience of cloud infrastructure supporting critical SaaS products and AI platforms. In this role, you will work across AWS, Kubernetes, and infrastructure-as-code environments, combining production operations with practical security engineering. You will investigate infrastructure issues, respond to production alerts, and implement improvements that reduce risk and make systems more reliable. Working closely with Infrastructure Security, Platform Engineering, AI, and other engineering teams, you will address vulnerabilities and misconfigurations at their source. This is an opportunity to contribute directly to the security of complex cloud and AI infrastructure in a collaborative, fast-moving engineering environment. The position is fully remote and available to candidates in selected U.S. states.

• Professional experience operating production cloud infrastructure, preferably in AWS.

• Working knowledge of cloud security controls, including IAM, networking, secrets management, encryption, and logging.

• Hands-on production Kubernetes experience, including inspecting workloads, reviewing logs, and troubleshooting failures through command-line tools.

• Experience authoring Terraform changes that have been reviewed and deployed to production environments.

• Familiarity with Git-based workflows, including source control, pull requests, and collaborative code reviews.

• Previous production on-call or incident-response experience, with the ability to investigate alerts, communicate clearly, and make sound escalation decisions.

• Scripting proficiency in Python or a similar language, along with familiarity with monitoring and logging tools.

• Strong collaboration and communication skills, particularly when working with stakeholders across engineering and security teams.

• A proactive, team-oriented approach to problem-solving, with the ability to prioritize urgent issues and drive remediation through completion.

• Experience operating AI/ML infrastructure, LLM platforms, or services integrated with model providers.

• Familiarity with AI gateway concepts such as model routing, quotas, and related platform controls.

• Experience with Cloudflare or other edge and network security technologies.

• Exposure to cloud security posture management tools such as Wiz, Prisma Cloud, or Orca.

• Familiarity with GitOps tools such as Argo CD or Flux.

• Experience in blockchain, cryptocurrency, fintech, or regtech environments.

• Exposure to technologies such as AWS, GCP, Kubernetes, Terraform, GitHub Actions, Artifactory, Java, JavaScript, Go, and AI coding tools.