Freestar is an innovative company that engineers monetization solutions for websites. They are seeking a Senior DevOps Engineer to enhance system reliability and efficiency while providing operational support for cross-functional teams.
Responsibilities:
- Act as the primary technical point of contact for Engineering and Product teams, providing daily operational support for Platform requests
- Design, deploy, and manage scalable services on GCP
- Build and optimize repeatable deployment pipelines and deployment blueprints
- Monitor cloud expenditure and implement right-sizing initiatives to support departmental cost-reduction goals
- Maintain comprehensive monitoring and alerting frameworks to ensure high availability and lead rapid incident response for critical systems
- Execute stack-hardening tasks, including vulnerability scanning, access control audits, and secrets detection
- Manage the ongoing updates, patching, and maintenance of platform components
Requirements:
- 5–7 years in DevOps, SRE, or Cloud Engineering with a focus on high-availability production environments
- 3+ years of deep, hands-on experience with major cloud providers (GCP preferred, AWS, or Azure), including cloud architecture, resiliency, and disaster recovery
- Expert-level proficiency with Terraform and a 'policy as code' mindset
- Advanced knowledge of Docker and Kubernetes, including image management and cluster administration
- Strong fundamentals in Python, Shell, or equivalent languages for automation and tool building
- Proven experience building and maintaining modern pipelines (GitHub Actions, JFrog, CloudBuild)
- Solid understanding of cloud networking (VPCs, Firewalls) and security practices, including IAM, secrets management, and vulnerability scanning
- A systematic, detail-oriented approach to troubleshooting and critical system examination
- The ability to act independently and take ownership of technical tasks with minimal guidance
- Previous experience in a high-scale, fast-paced environment (AdTech or Fintech experience is a plus)
- Experience with AI-driven automation, such as integrating AI agents into DevOps workflows, automated incident summaries, or leveraging LLMs to enhance developer productivity