Staff Production Engineer (Cybersecurity)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Production Engineer (Cybersecurity): Designing and evolving the reliability and scalability of a cloud platform for machine identity security with an accent on high availability, infrastructure as code, and observability. Focus on eliminating operational toil through automation, optimizing CI/CD pipelines, and leading incident response for distributed systems.
Location: Hybrid (United States)
Salary: $181,000–$226,000 per year
Company
A global leader in identity security, providing an AI-powered Identity Security Platform to secure human and machine identities.
What you will do
- Design and evolve highly available cloud infrastructure platforms focused on scalability and resilience.
- Standardize Infrastructure as Code (IaC) practices to reduce operational overhead.
- Optimize CI/CD pipelines for secure and reliable software delivery at scale.
- Implement monitoring, alerting, and observability strategies for distributed systems.
- Lead incident response efforts and perform root cause analysis for long-term remediation.
- Mentor engineers to improve overall production engineering practices.
Requirements
- Must be based in the United States.
- 8+ years of experience in DevOps, Platform Engineering, or SRE.
- Proficiency in AWS, Azure, or GCP and deep expertise in Kubernetes (EKS, AKS, GKE).
- Strong experience with Terraform, Ansible, or Pulumi.
- Experience with CI/CD tools like Jenkins, GitLab CI, ArgoCD, or GitHub Actions.
- Programming skills in Python, Go, or similar for automation.
Nice to have
- Experience implementing DevSecOps practices in cloud environments.
- Experience building observability platforms and tooling.
- Professional certifications such as CKA/CKAD or AWS Solutions Architect.
- Experience using AI-assisted development tools to improve operational workflows.
Culture & Benefits
- Comprehensive medical, dental, and vision insurance.
- Financial benefits and equity packages.
- Discretionary performance-based bonuses.
- Opportunity to work with cutting-edge AI-powered security technology.
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