Staff Infrastructure Engineer

Summary

Join Sotheby's as a Staff Infrastructure Engineer and play a key role in shaping the future of our infrastructure and developer platform services. Collaborate with cross-functional teams to deliver high-quality, scalable solutions. As a technical leader, mentor junior engineers, and contribute hands-on to architectural and technology stack improvements. Build practical, reusable, and resilient solutions, tackling complex problems and iterating towards effective outcomes. Focus on creating tools that empower your peers and contribute to a positive developer experience. Help recruit and interview candidates to build a strong team.

Requirements

• 7+ years of experience in engineering building platforms, infrastructure, and deployment and infrastructure tooling
• Experience with one or more programming languages including but not limited to: Go, Node.js, Python, Scala, or Java
• Experience with cloud technologies (AWS, GCP, Azure)
• Experience with build and deployment tooling (Bazel, Github Actions, Pants, Spinnaker)
• Experience with automation tools (Terraform, CloudFormation)
• Experience with relational database systems (PostgreSQL, MySQL)

Responsibilities

• Build, optimize, and maintain a platform that enables other engineers and product teams to work faster and more efficiently
• Design elegant abstractions, useable and practical tools, and robust APIs
• Work closely with engineers, product owners, and stakeholders across the company
• Communicate persuasively with peers to inspire cooperation and collaboration
• Mentor, pair, and delegate work to encourage the growth of others
• Make well-reasoned decisions that inspire and energize others
• Provide technical leadership so that others can contribute confidently
• Help recruit, interview, and generally make Sotheby’s a great home for developers

Preferred Qualifications

• Exposure to microservices architecture and observability (Kubernetes, Docker, service meshes, distributed systems, tracing)
• Exposure to event streaming platforms (such as Kafka and Kinesis)