Senior Software Engineer - Fullstack

Reposted 24 Days Ago
2 Locations
In-Office
166K-225K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Design, develop, and maintain full-stack applications while providing mentorship, collaborating with teams, and optimizing performance.
Summary Generated by Built In

P-160

Who We Are

Our GenAI observability and quality product provides advanced monitoring and insights for GenAI systems, giving customers real-time visibility into their system's performance, along with a suite of tools to improve the quality of the GenAI systems. With features like real-time alerts, detailed logging, and anomaly detection, customers can quickly identify and fix issues that affect the quality of their GenAI systems. This is a great opportunity to use next-gen tools for continuous monitoring, testing, and feedback, while applying cutting-edge technologies like AutoML/AutoRag, LLM fine-tuning, Prompt Optimization and Automation to improve the performance and quality of GenAI systems. 

We are looking for a passionate and experienced Senior Full-Stack Software Engineer to join our dynamic team. This role will offer you the opportunity to contribute to both the front-end and back-end development of our product, while also allowing you to bring your strong product sense and UI/UX design expertise to life. The ideal candidate will have a solid track record in full-stack development, with the ability to design and implement intuitive and engaging user interfaces, as well as architect scalable and efficient backend systems.

What You’ll Do
  • Full-Stack Development: Design, develop, and maintain both front-end and back-end components of our web applications.
  • UI/UX Design: Collaborate with design teams to create visually appealing, user-friendly, and accessible UI/UX. You’ll ensure the product provides a seamless experience from end to end.
  • Backend API Development: Architect, design, and implement RESTful APIs and microservices to support the application.
  • Collaboration & Mentorship: Work closely with cross-functional teams including product managers, designers, and other engineers. Mentor junior developers and share knowledge of best practices in both UI/UX and back-end development.
  • Product Sense: Contribute to product strategy by offering insights based on technical feasibility and user experience considerations.
  • Code Quality & Testing: Write clean, maintainable, and well-documented code. Ensure the reliability and performance of all components with rigorous testing.
  • Performance Optimization: Continuously monitor and optimize performance, both for the front-end and back-end.
  • Agile Development: Participate in agile ceremonies, including sprint planning, standups, retrospectives, and code reviews.

What we look for:

  • 5+ years of experience with HTML, CSS, and JavaScript.
  • Passion for user experience and design and a deep understanding of front-end architecture.
  • Comfortable working towards a multi-year vision with incremental deliverables.
  • Motivated by delivering customer value.
  • Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).
  • 5+ years of experience with server-side web technologies (eg: Java, Python, Scala, Go).
  • Good knowledge of SQL.
  • Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
  • Experience developing large-scale distributed systems.

Why Join Us?

  • Work on AI-powered features that directly impact thousands of data practitioners all over the world.
  • Collaborate with a world-class team at the intersection of AI, data, and cloud computing.
  • Build innovative solutions in a fast-moving, high-growth environment.
  • Ready to shape the future of the Data Intelligence Platform at Databricks? Apply now!

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
$166,000$225,000 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

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.

Applicant Privacy Notice

Skills Required

  • 5+ years of experience with HTML, CSS, and JavaScript
  • Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)
  • 5+ years of experience with server-side web technologies (e.g., Java, Python, Scala, Go)
  • Good knowledge of SQL
  • Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes
  • Experience developing large-scale distributed systems

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Equity Value & Accessibility Equity grants are a meaningful part of offers, and periodic tender opportunities and secondary options have made private equity more tangible for many employees. This perceived upside contributes to strong total-compensation sentiment in key roles.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage is paired with mental‑health resources and wellness reimbursements, indicating a robust health package. Multiple summaries highlight broad coverage that employees can practically use.
  • Leave & Time Off Breadth Generous PTO, paid holidays/sick time, and fully paid parental leave are frequently described, with hybrid/remote flexibility common in the U.S. These policies expand time‑off accessibility across different life stages.

Databricks Insights

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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