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Staff Fullstack Engineer, Agentic Applications

Location
Mountain View, California
Compensation
$192k–$260k/yr
Level
staff
Type
full time

Posted by employer 1 year ago

First seen on Joblaze 6 months ago

Last verified on the company career page 2 days ago

Requirements

Experience
12+ years

Not disclosed in this posting: work arrangement, visa sponsorship.

Benefits

401k Match Education Budget Gym Membership Employee Assistance Program Equity/Stock Options Flexible Time Off Health Insurance Parental Leave

Joblaze summary

In the role of Staff Fullstack Engineer on the Enterprise Applications team at Databricks, the individual will focus on delivering comprehensive applications that enhance internal workflows and employee productivity. Key skills include extensive experience in full-stack cloud-native development, technical leadership, and a strong customer-centric approach. This position is ideal for seasoned engineers with over 12 years of experience, particularly those who have a passion for data intelligence and a track record of elevating engineering standards. The team is engaged in high-impact projects that directly influence the company's growth trajectory.

Joblaze insights

  • Listed about 6 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Databricks's careers page October 28, 2026.
  • This exact title is also open at 1 other location at Databricks: Mountain View, California.
  • Salary band is above the typical range for Fullstack roles (median ~$165,000).
  • Starts above 32% of 56 comparable staff fullstack roles in United States we track (median $200,000 across 26 companies).
  • AI/ML appears in 11.3% of 80 comparable staff fullstack roles in United States; cloud-native appears in 1.3% of 80 comparable staff fullstack roles in United States.

Quick facts

What's the salary range?
Databricks lists $192,000–$260,000 for this role.
How much experience is required?
At least 12 years of relevant experience for this Staff Fullstack Engineer, Agentic Applications role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Software Engineering, cloud-native.
What seniority level is this role?
Databricks targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Staff Fullstack Engineer, Agentic Applications role at Databricks.

From the original posting

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

Benefits

Standard company text repeated across Databricks's postings is omitted here.

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