Company DescriptionEtsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee whether a team member of Etsy, Reverb, or Depop you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce HumanJob DescriptionWhat’s the role?We are looking for a Staff Software Engineer II to join our Features team to play the tech lead role in driving the platform vision and strategy for the Feature Store team at Etsy.As a Staff Software Engineer II, you will be responsible for implementing the strategy for the machine learning feature systems platform at Etsy. Different teams consume features in their ML use cases that in turn will help nearly 100M buyers and over 5M sellers navigate Etsy’s extensive marketplace and deliver many more outstanding customer experiences. Do you find joy in big picture thinking and playing long term while driving business critical metrics? If so, this could be the perfect match.Do you find joy in sophisticated architectures that involve distributed systems, machine learning and multiple collaborators? If so, this could be the perfect match.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.This is a full-time position reporting to the Senior Engineering Manager, ML Systems and the base salary range will be $218,000 - $243,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here.What’s this team like at Etsy?The Machine Learning Enablement Initiative builds and maintains Machine Learning systems that help all Etsy customers quickly resolve issues through intuitive self-service tools and human, real support experiences. The Features group builds and maintains feature systems platform that powers all ML use cases across Search, Ads, Trust & Safety, and Recommendations systems.We work on meaningful, complex challenges, but small enough that you can make a rewarding impactWe build platforms & services to solve problems at scaleWe are a platform team with a product driven mentalityWe drive innovation using our Machine Learning systems in effective and creative ways. What does the day-to-day look like?Play a central role in building Feature systems that will empower multiple business critical Machine Learning use cases at Etsy.Design, build and support the core services/infrastructure for the entire feature lifecycle including discovery, ingestion, retrieval and training. It also includes on-call production support rotations.Work cross-functionally with various platform teams, Machine Learning teams and product partners to build the next generation of our high availability feature system platform in the cloud.In spite of being a core platform/enablement team, we work really closely with product teams in running user facing experiments and have KPIs tied to revenue.Practice continuous learning and agile delivery model to stay informed and focused on our deliverables.We are proud to have an engineering culture that encourages career growth and learning in a blameless environment. You can learn more about our philosophies, tools, and some of the challenges we’ve been solving on our Engineering blog.Proficiency with data pipelines in Spark and experience with streaming data and its application to ML solutions are a plusOf course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.QualificationsQualities that will help you thrive in this role are:You have proven engineering and coding skills, data structure knowledge and ability to write high performance production quality code.High proficiency in Scala is required in this role.Background and hands-on experience with Cloud technologies (Google Cloud or AWS).You are a strong collaborator and communicator and make the engineers around you grow & learn..You have built low-latency high-scale distributed services with technologies such as Docker, Kubernetes, Spark, etc.You have fundamental experience with platform engineering and strong troubleshooting skills.Prior experience with Feature Systems and Machine Learning Platform, as well as in caching preferred Additional InformationWhat's NextIf you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.Our PromiseAt Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.