Level

Databricks

Staff Fullstack Engineer, Agentic Applications

Databricks is hiring a Staff Fullstack Engineer, Agentic Applications in Mountain View, United States. It pays $192k-$260k a year and Level rates it ; you can apply on Databricks.

Level's read on this job

  • On Level's scale, this software engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The listed pay starts 14% above the typical software engineer posting on Level.
  • Level classifies it as a lead role.
  • Level lists 894 other open roles at Databricks.

AI in this role

P-1477

The Agentic Applications team at Databricks is on an ambitious journey to transform how we run the business.  Our mission is to build resilient, in-house platforms and AI-powered capabilities that provide a genuine competitive advantage, powering our next doubling in size and revenue.

As a Staff Software Engineer on the Agentic Applications team, you will play a critical role delivering end-to-end applications that power our business and empower our employees with truly assistive technologies. You will be responsible for defining the technical roadmap, designing critical software systems, raising the bar on engineering excellence, mentoring junior engineers, and tackling the most challenging technical issues facing the team. You will be the technical leader for a team of software engineers.

The impact you’ll have:
  • Define the technical strategy and roadmap for building in-house solutions for critical internal workflows
  • Partner closely with product management, design, and other engineering teams to build end-to-end, AI-powered solutions 
  • Eliminate technical risk by solving the most technically challenging issues or tackling the most complex development tasks facing the team
  • Drive team best practices for engineering excellence, including design quality, operational reviews, testing strategies, and incident management.

What we look for:

  • 12+ years of software engineering experience, with a strong track record of technical leadership and impact.
  • 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team.
  • Experience designing and building end-to-end, full-stack cloud-native applications
  • Customer obsession and product engineering mindset
  • Strong communication skills and ability to influence technical and business stakeholders
  • History of raising the engineering quality bar, focus on execution and operational rigor
  • Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company business objectives.
  • Passion for the data intelligence space.
Why Join Us?
  • Work on high-impact, high-visibility initiatives that directly contribute to Databricks' growth trajectory.
  • Lead and mentor a talented team of engineers solving challenging, customer-centric problems.
  • Drive innovation in a fast-paced, data-driven environment where your work shapes the future of the company.

If you are passionate about building AI-powered solutions for running the business, we would love to hear from you!

 

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$192,000—$260,000 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.

How we rate this

Staff Fullstack Engineer, Agentic Applications at Databricks rates 67 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Also common in software engineer jobs at this level

Pay

This job starts at
$192k
Typical software engineer job
$168k

This posting starts 14% above the typical software engineer job. See software engineer jobs

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