Platform Engineer

About Share

Share is a venture-backed enterprise creating a marketplace for bandwidth — the crucial infrastructure linking internet providers and users. By building distributed routing nodes and connecting carriers, ISPs, data centers, and enterprises through a neutral exchange, Share transforms bandwidth into a liquid and tradable commodity, addressing a fragmented and inefficient market.

Role Overview

The infrastructure team powers Share’s marketplace, supporting every API interaction, monitoring signal, and systems ensuring seamless transactions. As a senior Platform Engineer, you will be pivotal in scaling this infrastructure to match rapid growth, utilizing modern cloud-native technologies including Kubernetes, cloud architecture, containerization, and DevOps methodologies.

Key Responsibilities and Expectations

• Take ownership of infrastructure at scale, ensuring reliability and performance.
• Provide leadership beyond operations by anticipating and mitigating problems before they escalate into incidents.
• Collaborate closely with system engineers, network teams, and software developers to enhance infrastructure robustness.
• Drive decisions and improvements rooted in experience and technical knowledge.
• Design, deploy, and manage Kubernetes clusters in production environments.
• Manage cloud infrastructure extensively, preferably within Google Cloud Platform, including networking, IAM, cost management, capacity planning, and multi-region setups.
• Maintain proficiency across the full infrastructure stack, from virtualization technologies like VMware, KVM, Hyper-V, to container orchestration and Docker.
• Design and manage production-level APIs effectively.
• Integrate AI tools natively into workflows, demonstrating productivity gains from such integrations.
• Deliver ownership from scoping system problems to shipping solutions and iterating on learnings to advance departmental capabilities.

Ideal Candidate Profile

• 7 or more years of professional experience in systems or infrastructure engineering with demonstrated ownership at scale.
• Strong leadership mindset emphasizing responsibility for outcomes and proactive problem-solving.
• Advanced expertise in Kubernetes deployment, scaling, and debugging.
• Robust cloud infrastructure experience, ideally with Google Cloud Platform.
• Comprehensive knowledge across virtualization and container technologies.
• Experience managing production API lifecycles.
• Proficient in applying AI tools within engineering workflows.

Compensation and Benefits

• Competitive salary positioned at the top local market range.
• Meaningful equity participation within a mission-driven, investor-backed company.
• A culture promoting high ownership, continuous learning, and thorough documentation.