Note: The job is a remote job and is open to candidates in USA. Pager Health redefines how members navigate to care and wellness, validated by clinicians and powered by AI. They are seeking a Lead Platform Engineer to provide technical leadership for their cloud platform, infrastructure, and developer enablement initiatives, responsible for architecting scalable and secure platform solutions while mentoring engineers.
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
Skills
- 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
- A range of medical, dental, vision, financial, generous PTO, stipends for professional development, and wellness benefits
- Remote-first
- Stipends for professional development
Company Overview
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