Staff Software Engineer, Etsy

• Solid Infrastructure background with 8+ years of industry experience (with at least 1-2 years of experience as a Tech lead) working on distributed systems, ML infrastructure and other high scale applications
• Background in Computer science and related fields (equivalent to a B.S. degree or above in Computer Science, Electrical Engineering, Information Technology or related engineering fields)
• Practical experience designing & architecting large-scale distributed systems and machine learning systems
• Strong engineering and coding skills, with the ability to write high-performance production code. Proficiency in Java, Scala, and/or other equivalent languages
• You have built distributed services with technologies such as Docker, Kubernetes, gRPC, Spark, etc
• You have strong familiarity with concurrency frameworks and performance tuning that build low latency applications
• Growth mindset. You have a strong desire to learn and grow, and aim to drive the most business value for your customers
• Curiosity and humility. We are dedicated to learning and constantly improving. We hope you also value things like blameless postmortems and have a natural drive to figure out how everything works
• You have strong analytical and quantitative skills
• Tight-knit collaboration skills as well as both verbal and written communication skills
• You are a multiplier in the organization, and enjoy growing other engineers around you in the process

Desirable

• Build and maintain a centralized Feature Store and a distributed low latency serving layer operational under high load, that will support various high visibility Machine Learning teams at Etsy including Search Ranking, Personalized Recommendations, etc
• Build scalable and resilient services and APIs for product teams to interact with feature systems and model training and add new Machine Learning features
• Develop and maintain distributed infrastructure with the containerized environment and optimized storage layer to support Machine Learning feature development and retrieval
• Coach and train junior team members
• Actively work with leadership and product teams on the roadmap and new features
• Lead and coordinate cross-team projects across the organization and actively promote best practices and industry standards to maintain the high quality of the product and services