Lead Platform Engineer
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Job Description
Lead Platform Engineer providing technical leadership and architectural direction at Pager Health, designing scalable solutions and improving deployment automation.
Responsibilities:
- Provide technical leadership and architectural direction for our cloud platform and infrastructure.
- Design, implement, and maintain scalable cloud infrastructure using Infrastructure as Code.
- Lead the design and continuous improvement of our CI/CD platform and deployment automation.
- Develop self-service tooling that enables engineers to provision, deploy, and operate services independently.
- Improve platform reliability, disaster recovery readiness, observability, and cloud cost efficiency.
- Establish engineering standards, best practices, and reusable platform patterns.
- Mentor engineers through architecture reviews, code reviews, technical guidance, and collaborative problem solving.
- Lead complex technical initiatives from research and planning through production deployment.
- Partner closely with Software Engineering, Security, and Operations teams to deliver secure and scalable solutions.
- Participate in incident response, root cause analysis, and long-term platform improvements.
Requirements:
- Bachelor’s degree in Computer Science, Engineering, or a related technical field
- 2+ years of technical leadership experience
- 10+ years of relevant engineering experience
- Possess deep expertise designing and operating cloud infrastructure in Google Cloud Platform.
- Extensive experience with Kubernetes and containerized microservices in production environments
- Strong experience designing Infrastructure as Code using Terraform.
- Has built and maintained enterprise CI/CD platforms and deployment pipelines.
- Understanding of networking, security, IAM, secret management, and cloud architecture principles.
- Strong understanding of SDLC and Agile methodologies.
- Able to write clean, maintainable, well-tested automation and infrastructure code.
- Uses metrics and operational data to drive engineering decisions and prioritize work.
- Takes ownership of both your work and the long-term health of the platform.
- Cloud & Infrastructure experience with Google Cloud Platform (GCP), Google Kubernetes Engine (GKE), Cloud Run, Terraform, Helm, VPC Networking, Cloud SQL and Atlas
- Platform & Automation experience with tools like, Harness, Cloud Build, Docker, Vault and Github
- Experience with observability tools like, Google Cloud Monitoring (Stackdriver) and New Relic
- Experience with Disaster recovery and high availability, Performance optimization, Infrastructure security and 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
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