- Company Name
- Lawrence Harvey
- Job Title
- Lead Platform Engineer
- Job Description
-
Job Title: Lead Platform Engineer
Role Summary:
Lead the design, implementation, and governance of a cloud‑native platform on Google Cloud Platform (GCP). Own end‑to‑end reliability, scalability, security, and automation across CI/CD, networking, AIOps, and observability to enable rapid, secure delivery for engineering squads.
Expectations:
- Establish and evolve a robust, self‑service platform that supports microservices/API‑driven architecture.
- Drive automation and engineering standards to reduce toil and accelerate feature releases.
- Foster a high‑performing platform team, potentially across hybrid/offshore or partner models.
- Collaborate with product, security, and infrastructure stakeholders in a fast‑paced, product‑focused environment.
Key Responsibilities:
- Define and implement the platform strategy for GCP, including networking, IAM, workloads, and disaster recovery.
- Lead CI/CD system design and continuous delivery pipelines using GitHub, Terraform, or equivalent tools.
- Establish observability practices (metrics, logs, tracing) and AIOps solutions for proactive incident management.
- Enforce security best practices: configuration management, secrets handling, compliance checks, and vulnerability scanning.
- Mentor and grow a cross‑functional Platform team, managing resource allocation and performance reviews.
- Collaborate with engineering squads to define service‑level objectives (SLOs) and develop automated compliance checks.
- Evaluate and adopt emerging platform technologies to keep the stack current and efficient.
Required Skills:
- 3+ years of hands‑on GCP experience, including networking, IAM, container orchestration, and managed services.
- Proven track record leading Platform/DevOps teams, including hybrid or partner resource orchestration.
- Deep knowledge of CI/CD pipeline design with GitHub Actions, Terraform, and related IaC tools.
- Familiarity with microservices and API‑driven architectures and their deployment patterns on GCP.
- Strong automation mindset: scripting, IaC, testing, and monitoring.
- Proficiency in observability, AIOps tooling, and root‑cause analysis practices.
- Excellent stakeholder communication, cross‑functional collaboration, and ability to thrive in a rapid‑growth environment.
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
- Google Cloud certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) are highly desirable.