MINIMUM QUALIFICATIONS

• Bachelor’s degree in Computer Science or related field.
• 12+ years of experience designing and delivering large-scale, distributed systems.
• Proven experience leading teams and delivering mission-critical services in production.
• Hands-on expertise with GraphQL , Apache Data Fusion , or Rust (at least one).
• Deep understanding of distributed systems , data pipelines , and multi-cloud architectures .

PREFERRED QUALIFICATIONS

• Strong programming experience with Rust , Go, or similar systems languages.
• Experience building or operating components like message queues, query processors, task schedulers , or control planes .
• Delivered scalable microservices in public cloud environments (AWS, GCP, Azure).
• Experience working in CI/CD environments with a focus on observability and reliability.
• Comfortable making tradeoffs across performance, cost, and usability in large-scale systems.

• Serve as the technical lead and architect for the data serving platform, setting engineering direction and driving execution.
• Design and implement platform-level systems that deliver seamless, high-performance data access through interfaces like GraphQL and a semantic data model .
• Lead the development of a data fusion layer that integrates across multiple databases and cloud environments.
• Build scalable, highly available, and cost-efficient services that support massive cloud customer accounts .
• Collaborate with Product and Engineering stakeholders to define functional specifications, architecture, and technical roadmap.
• Write, review, and maintain high-quality, production-grade code.
• Partner closely with Product Management, Support, Sales , and Customer teams to align technical investments with customer outcomes.
• Drive build-vs-buy analysis , make strategic architectural decisions, and champion operational excellence.
• Mentor engineers across the team, support career growth, and foster a culture of technical rigor and inclusion.
• Actively participate in recruiting , interviewing, and onboarding new engineers.
• Communicate complex technical decisions to executive leadership and represent the team in company-wide forums .