Software Engineer IV

GM-4263

About This Role: 

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 Intelligence 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 tackle 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.

We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products.

Job Duties:

• Design, develop, and enhance a cloud-hosted SaaS platform, applying knowledge of large-scale distributed systems.
• Develop production-grade software using Scala, Python, and/or JavaScript; integrate with cloud services, open-source frameworks, third-party APIs, and internal APIs.
• Participate across the full software development lifecycle (SDLC), including system design, implementation, testing, deployment, monitoring, and ongoing production support.
• Architect and implement solutions that meet high standards for reliability, scalability, performance, and security in a cloud environment.
• Collaborate closely with software engineers, product managers, and cross-functional stakeholders to translate requirements into technical solutions.
• Contribute to Agile development processes, including sprint planning, code reviews, and continuous improvement initiatives.

Minimum Requirements:

Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Information Technology or a related field and two (2) years of software engineering experience. 

Qualifying experience must include one (1) year in object-oriented programming languages including Java, Scala, Javascript, C++ or Python.

Qualifying experience must also include one (1) year in at least six (6) of the following:

• Multithreading and asynchronous programming;
• Agile or Scrum methodologies;
• Open-source and third party APIs;
• Microservices-based architectures;
• Unit and integration testing;
• Running and maintaining reliable, secure and scalable services;
• Version control, including Git, XCode, Visual Studio, or IntelliJ;
• Could technologies including AWS, Azure, or GCP;
• Docker, Kubernetes or similar containerization tools;
• Databases including SQL, PostgreSQL, MongoDB, or Cassandra;
• Distributed systems and big data systems, including Apache Spark, Hive, or Hadoop.

#LI-DNI

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

Local Pay Range$150,000—$190,000 USD

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.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks