Lead and grow high-performing platform engineering teams that deliver reliable, scalable infrastructure and operational excellence for Vanta’s products and customers.
Set technical direction and drive multi-quarter platform initiatives spanning infrastructure reliability, security, scalability, and developer experience across shared systems and services.
Partner closely with product engineering, security, and engineering leadership to identify organizational needs and deliver scalable platform solutions.
Vanta helps businesses earn and prove trust by empowering companies to practice better security and prove it with ease. They have a kind and talented team, and while some have prior security experience, many have been successful without it.
Own the end-to-end infrastructure product vision, including installers, deployment tooling, reference architectures, and operational patterns.
Define and evolve a cohesive infrastructure roadmap aligned with Platform architecture, customer needs, and GTM strategy.
Partner closely with Product Leadership to balance near-term customer needs with long-term platform scalability and repeatability.
Mechanical Orchard is reinventing how the world’s most critical software gets modernized, focusing on system behavior to turn modernization into a repeatable process. They are an applied AI company challenging industry assumptions and prioritizing quality, rigor, and progress.
Design and build scalable infrastructure to support rapid growth in data volume, service usage, and engineering velocity.
Implement and maintain core security infrastructure and controls including, service-to-service authentication, secrets management, application security primitives.
Partner closely with Security Engineering to implement infrastructure that supports best-in-class security and compliance practices.
Vanta helps businesses earn and prove trust by providing a platform that continuously monitors and verifies security. They empower companies to practice better security and prove it with ease. Vanta has a kind and talented team with offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney.
Architect and deploy AI-driven systems for automated page generation and design logic.
Partner with technical leads to stress-test backend architecture and ensure scalable GCP/Firebase integration.
Leverage Vertex AI and bespoke frameworks to transform high-level ideas into production-ready tools.
Left Field Labs is a creative technology agency that builds what’s next. They partner with the world’s most ambitious brands to transform breakthrough technology into extraordinary human experiences. Since 2008, they’ve delivered end-to-end digital transformation services.
Design, develop, and maintain core infrastructure supporting large-scale optimization engines and planning workflows to improve scalability and performance.
Analyze and optimize performance bottlenecks in optimization pipelines, focusing on compute, memory usage, and data flow for complex planning problems.
Contribute to evolving platform architecture, designing systems for large datasets and parallel execution while ensuring enterprise-grade reliability and maintainability.
Kinaxis is a global leader in modern supply chain orchestration, providing an AI-powered platform for end-to-end supply chain transparency and faster decision-making. The company has over 2000 employees globally, is a multi-time Top Employer award winner, and fosters a culture of innovation with a serious focus on technology, customers, and a collaborative, not-too-serious internal environment.
Architect and lead the implementation of platform solutions, CI/CD pipelines, and infrastructure as code for client workstreams.
Build, deploy, and maintain cloud-native platform environments, observability systems, and developer platform tooling that integrates AI capabilities.
Lead a small team of engineers through technical delivery, mentorship, code review, and stakeholder communication while making day-to-day architecture decisions.
Liatrio helps large enterprises break free from legacy systems and enable AI across their organizations by designing and delivering secure, scalable AI-native platforms. The company embeds deeply with clients to drive meaningful AI enablement, accelerating modernization and creating competitive advantage through production-grade AI systems.
Define and own the long-term ML infrastructure roadmap, ensuring it supports current and future AI initiatives.
Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines and containerized services.
Partner closely with Data Scientists, Analysts, and Engineers to translate experimentation needs into production-ready infrastructure solutions.
Later is an AI-powered influencer marketing platform that helps brands plan and execute campaigns using proprietary data and creator relationships. The company has a collaborative, fast-moving culture and is trusted by major enterprise clients.