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Berkley Hunt is partnered with a stealth-mode, venture-backed AI startup building cutting-edge infrastructure to support the next generation of intelligent systems. Their platform is used by top-tier engineering teams to develop, deploy, and monitor high-performance AI-driven applications at scale.

Platform Engineer

Role Responsibilities:

• Architect and maintain cloud-native microservices, ensuring performance and reliability across containerized environments.
• Design scalable, event-driven data pipelines capable of handling large volumes of real-time interaction data.
• Administer and optimize distributed analytical databases to support internal and customer-facing insights.
• Build automated, secure deployment workflows across leading public cloud environments.
• Collaborate directly with technical leadership to shape long-term infrastructure strategy.
• Contribute to community-facing technical initiatives and represent the engineering vision externally when needed.

Requirements:

• 5+ years in backend, infrastructure, or platform engineering, with a focus on cloud-native applications.
• Hands-on expertise deploying and managing containerized systems with Kubernetes in production.
• Experience working with streaming architectures and message queues (e.g., NATS, Kafka, or similar).
• Skilled in building and scaling high-throughput data systems.
• Comfortable navigating multi-cloud environments and VPC architectures.
• Strong coding skills in Go and/or TypeScript, with experience building APIs and developer tools.
• Proactive, solutions-oriented mindset with a high degree of ownership.