Job Description

GAQ225R32

At Databricks, we are passionate about helping data teams 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.

At Databricks Information Technology, we are a product led organization transforming the way we work from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in face of incredible growth.

The Impact You Will Have

As a full stack software engineer (60% BE / 40% FE), you will work with your team to build amazing tools/applications for internal company use. We are building a custom development team in Information Technology and you will work on a broad set of interesting projects that will be challenging and provide competitive advantage to us not ordinarily derived from SaaS products. These enterprise business application projects may be focused on our Employee Performance Management Tool, chatbots Powered by LLMs and/or internal data pipelines where you may have the opportunity to apply Databricks products
You will build and test full stack applications on cloud native distributed systems for compensation tooling, performance management, and focal management
You will build real-time integration services with Databricks platform
You will build quality framework that enables real-time identification of source/destination data issues
You will build tools or implement low code/no code options to help automate several business processes
You will build amazing and simple to use interfaces to applications that promote massive adoption of products
You will support and scale internal tools that are built on cloud native distributed systems

What We Look For

Minimum 5 years of related experience with a Bachelor’s degree; or equivalent work experience.
4+ years of application development experience with Python, Java, Go, ReactJS, Flask, and MySql
Experience developing scalable and resilient applications
Distributed system fundamentals
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

Benefits

Benefits allowance
Equity awards
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Business travel insurance
Mental wellness resources

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.