Senior Software Engineer - Backend (NYC)

Databricks • New York, NY

67d • $166,000 - $225,000

About The Position

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.

Requirements

• BS (or higher) in Computer Science, or a related field
• 5+ years of production level experience in one of: Java, Scala, C++, or similar language
• A mindset of high velocity, able to ship high quality code at high speed
• Experience building data processing or analytics systems
• Experience developing large-scale distributed systems
• Experience working on a SaaS platform or with Service-Oriented Architectures
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes
• Experience with security and systems that handle sensitive data
• Good knowledge of SQL

Nice To Haves

• Experience working on systems that process or analyze customer data and related use cases

Responsibilities

• Build GenAI evals and post-training infrastructure to ensure our agents are learning while they’re doing work for our customers
• Implement data infrastructure that processes massive amounts of data with arbitrary flexibility in interactive time (ms to seconds)
• Creating a single, unified infrastructure to support real-time to micro-batch to batch data processing
• Create data processing engines for novel types of analytical workloads on massive datasets, such as time-series analysis of events, set operations (segmentation), and visualization of complex flows

Benefits

• Comprehensive benefits and perks that meet the needs of all employees
• Eligibility for annual performance bonus
• Equity

What This Job Offers

• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees