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The Manager of Security Engineering will oversee application and product security strategies, lead a security engineering team, and integrate secure practices across Headway's services while collaborating with various teams to enhance security.
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Auth0AWSCloudflareDatadogExpelFastapiGitKafkaOktaPython 3React/RemixSemgrepSqlalchemyTeleportTypescriptWiz
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As an Imagery Analyst, you'll validate geospatial data annotations, conduct quality assurance, and support AI/ML workflows with EO and SAR imagery.
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Lead the quality validation of geospatial imagery annotation, mentor junior annotators, and enhance annotation standards for AI/ML development.
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We are seeking a skilled DevOps Engineer with expertise in Terraform to automate the deployment of approximately 400 sites on Akamai. The ideal candidate will have experience with Infrastructure as Code (IaC), automation, and cloud/CDN deployments to streamline, optimize, and maintain large-scale site rollouts.
Key Responsibilities:
- Design, develop, and maintain Terraform modules to automate the deployment of 400+ sites in Akamai.
- Implement Infrastructure as Code (IaC) best practices to ensure consistency, scalability, and security.
- Develop and maintain CI/CD pipelines to streamline deployment workflows.
- Configure and optimize Akamai services such as EdgeWorkers, Property Manager, and Global Traffic Management (GTM).
- Work closely with cross-functional teams (networking, security, and application teams) to integrate Akamai solutions efficiently.
- Monitor and troubleshoot deployment issues, ensuring high availability and performance.
- Maintain detailed documentation of configurations, workflows, and best practices.
- Stay up-to-date with industry trends and emerging technologies in cloud/CDN automation.
Required Qualifications:
- 3+ years of experience with Terraform and Infrastructure as Code (IaC).
- Strong experience with Akamai CDN technologies, including Property Manager, EdgeWorkers, and GTM.
- Proficiency in scripting languages such as Python, Shell, or PowerShell.
- Experience with CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI.
- Strong knowledge of networking principles, DNS, and web performance optimization.
- Experience with cloud platforms (AWS, Azure, or GCP) is a plus.
- Familiarity with configuration management tools like Ansible or Puppet.
- Ability to troubleshoot complex deployment issues and optimize performance.
- Strong communication and documentation skills.
Preferred Qualifications:
- Akamai certifications (e.g., Akamai Certified Professional).
- Experience with Kubernetes and containerized deployments.
- Experience integrating Akamai with WAF (Web Application Firewall) and security policies.
- Prior experience working in a large-scale site deployment environment.
What We Offer:
- Competitive salary and benefits.
- Opportunity to work on cutting-edge CDN automation projects.
- Flexible work environment (remote/hybrid options).
- Career growth opportunities in DevOps, Cloud, and Automation.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
