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Confidential Company

Lead Compute/Storage Infrastructure Engineer

Confidential Company, New York, New York, us, 10261

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Lead Infrastructure Engineer (Compute / Storage) Location:

New York, Hybrid (4 days/week in office) A rapidly growing global technology company at the intersection of ecommerce and data infrastructure is seeking a

Senior Infrastructure Engineer

to lead efforts across compute or storage systems. This team powers critical systems behind billions of transactions annually and partners with major global brands to deliver intelligent, real-time customer experiences at scale. The engineering org is focused on building scalable platforms that support both real-time and batch processing workloads. You'll work alongside talented engineers to architect, evolve, and operate the technical backbone behind an expansive ecosystem of data driven, customer-facing solutions. This role is ideal for a seasoned engineer looking to take ownership of foundational platform components-whether that's container orchestration, service networking, or distributed storage systems. You'll have the opportunity to function as both an individual contributor and technical leader, helping shape the future of infrastructure at scale. Your Role and Responsibilities Take end-to-end ownership of compute or storage infrastructure, with a hands-on approach to systems design, implementation, and reliability. Architect solutions around container platforms and orchestration tools (e.g., Kubernetes, Helm, Argo), or storage and data platforms (e.g., Kafka, Cassandra, Trino). Build and maintain critical components across networking (VPCs, service meshes), stream processing (multi-region Kafka), and data analytics platforms (data lakes, OLAP engines). Drive internal tooling and automation initiatives to improve development velocity and operational efficiency. Ensure platform reliability and security for high-volume, high-availability environments. Mentor peers and contribute to technical strategy across platform initiatives; may also take on leadership of project teams or direct reports depending on experience. What You Bring to the Table 5+ years of experience in DevOps, infrastructure, or platform engineering roles, with deep specialization in either compute or data systems. Solid expertise in one or more of the following domains: Kubernetes, workload orchestration, containerized pipelines Distributed data technologies like Kafka, Cassandra, Trino, Delta Streamer Comfort with scripting/automation using Python, Bash, or Terraform, and deep familiarity with Linux environments. A track record of delivering high-scale infrastructure projects and guiding teams in best practices. Strong communication skills and a collaborative, proactive mindset. Passion for building reliable, scalable platforms that empower product teams and improve user outcomes. About the Team This organization is quietly shaping the future of ecommerce infrastructure, powering personalization and relevance for hundreds of millions of users worldwide. Its proprietary platform blends machine learning, marketing intelligence, and cloud-native architecture to unlock new revenue streams and customer experiences. The company fosters a strong engineering culture rooted in curiosity, autonomy, and delivering measurable impact. Engineers are encouraged to take risks, move fast, and iterate on meaningful problems alongside some of the brightest minds in the industry. What's in It for You Highly competitive base salary with meaningful equity grants Full medical, dental, and vision coverage for you and your dependents 401(k) plan with 4% employer match Catered lunches and a fully stocked kitchen Dog-friendly office space Flexible paid leave, including additional vacation and sabbatical options Opportunities for global travel across international office locations We're Committed to Inclusion This employer is proud to provide equal opportunities and foster an inclusive workplace. All qualified applicants will be considered without regard to race, religion, gender identity, sexual orientation, age, disability, or background.