Security Infrastructure Engineer
Insight Global
San Francisco, CA (In Person)
Full-Time
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Job Description
- Develop and maintain Infrastructure-as-Code (IaC) using Terraform to manage repeatable, auditable deployments across AWS, GCP, and Azure.
- Using and contributing to open source technology (Spinnaker, Zookeeper, etc.)
- Writing microservices on containerization frameworks such as Kubernetes, Docker, Mesos and other services in
AWS , GCP
, Azure- Build and maintain systems in all cloud substrates and automate the management end to end with minimal to no human intervention Integrate security validation agents and assessment assets into Salesforce-managed cloud environments, enabling continuous security validation.
- Build and maintain CI/CD pipelines to automate infrastructure provisioning, testing, and deployment of security engineering streams.
- Collaborate with security and platform engineering teams to align infrastructure with Salesforce's internal standards, compliance requirements, and trust frameworks.
- Monitor and maintain deployed infrastructure, responding to incidents, optimizing performance, and managing costs across cloud providers.
- Document architecture decisions, runbooks, and operational procedures to support team knowledge transfer We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.
To learn more about how we collect, keep, and process your private information, please review
Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 3+ years of infrastructure/DevOps engineering experience in an enterprise environment.- Terraform - proficiency in writing modular, reusable IaC; experience managing state, workspaces, and remote backends.
- Kubernetes - hands-on experience deploying and managing clusters (EKS, GKE, or AKS); familiarity with Helm, namespaces, RBAC, and network policies.
- Docker - strong understanding of containerization, image management, multi-stage builds, and container security best practices.
- Multi-cloud deployment - demonstrated experience deploying and operating workloads in AWS, GCP, and/or Azure; understanding of cloud-native networking, IAM, and compute services across providers.
- Proficiency with CI/CD tooling (e.g., GitHub Actions, Jenkins, Argo CD, or similar).
- Strong scripting skills in Python, Bash, or Go for automation and tooling.
- AMI baking with Packer and security agent embedding
- Spinnaker pipeline configuration
- AWS SSM for instance access
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