Senior Scala Engineer I, Distributed Systems

Company Description

Etsy 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 Human

Job Description

What's the role?

As the Senior Scala Engineer I,  you will be responsible for building and scaling our machine learning infrastructure at Etsy. You will be responsible for building and scaling a centralized Feature Store, with strong emphasis on building a distributed low latency serving layer that is operational under high load, that will support various high visibility Machine Learning teams at Etsy including Search Ranking, Personalized Recommendations, etc. 

Do you find joy in sophisticated architectures that involve distributed systems, machine learning and multiple collaborators? If so, this could be the perfect match.

This is a full-time position reporting to the Senior Engineering Manager, ML Systems, and the base salary range will be $164,000 - $192,000 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 Features team is part of ML enablement organization. Our mission is to enable efficient and impactful machine learning across Etsy as a platform.

What does the day-to-day look like?

• You will 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.
• You will construct robust and scalable services and APIs that enable product teams to engage with feature systems, facilitate model training, and integrate new Machine Learning capabilities.
• You will utilize your expertise in distributed systems, networking, and related areas to create and maintain services on a large scale.
• Of 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.

Qualifications

Qualities that will help you thrive in this role are:

• You possess a solid infrastructure background with 5+ years of industry experience, working on distributed systems, ML infrastructure, and other high-scale applications.
• You have a 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.
• You have practical experience in designing and architecting large-scale distributed systems and machine learning infrastructure.
• You demonstrate strong engineering and coding skills, with the ability to write high-performance production code. Fluency in Scala and experience with highly concurrent frameworks (e.g. Cats effects) is required.
• Experience with JVM performance 
• You have experience in building distributed services with technologies such as Docker, Kubernetes, gRPC, Spark, etc.
• You are familiar with concurrency frameworks and performance tuning that build low latency applications.
• Experience with spark, dataflow and streaming data and its application to ML solutions is a plus.
• 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 postmortem