Lead Platform Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Provide technical leadership and architectural guidance for our cloud platform and infrastructure.

• Design, implement, and sustain scalable cloud infrastructure utilizing Infrastructure as Code.

• Spearhead the design and ongoing enhancement of our CI/CD platform and deployment automation.

• Create self-service tools that empower engineers to provision, deploy, and manage services autonomously.

• Enhance platform reliability, disaster recovery preparedness, observability, and cloud cost effectiveness.

• Establish engineering standards, best practices, and reusable platform patterns.

• Mentor engineers through architecture evaluations, code reviews, technical support, and collaborative problem-solving.

• Lead intricate technical projects from research and planning to production deployment.

• Collaborate closely with Software Engineering, Security, and Operations teams to deliver secure and scalable solutions.

• Engage in incident response, root cause analysis, and long-term platform enhancements.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.

• Over 2 years of experience in technical leadership.

• More than 10 years of pertinent engineering experience.

• In-depth knowledge of designing and managing cloud infrastructure within the Google Cloud Platform.

• Extensive experience with Kubernetes and containerized microservices in production settings.

• Strong proficiency in designing Infrastructure as Code using Terraform.

• Experience in building and maintaining enterprise-level CI/CD platforms and deployment pipelines.

• Familiarity with networking, security, IAM, secret management, and cloud architecture principles.

• Strong comprehension of SDLC and Agile methodologies.

• Capable of writing clean, maintainable, and well-tested automation and infrastructure code.

• Utilizes metrics and operational data to inform engineering decisions and prioritize tasks.

• Takes responsibility for your own work and the long-term wellbeing of the platform.

• Experience with Google Cloud Platform (GCP), Google Kubernetes Engine (GKE), Cloud Run, Terraform, Helm, VPC Networking, Cloud SQL, and Atlas.

• Knowledge of platform and automation tools such as Harness, Cloud Build, Docker, Vault, and GitHub.

• Familiarity with observability tools like Google Cloud Monitoring (Stackdriver) and New Relic.

• Experience in disaster recovery, high availability, performance optimization, infrastructure security, secure software delivery, and/or cost optimization in cloud environments is highly desirable.

🏝️ Benefits

• Stock options

• Medical

• Dental

• Vision

• Generous PTO

• Stipends for professional development

• Wellness benefits