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Active12mo ago

Sr. Staff Fullstack Engineer, Agentic Applications

Databricks·📍 Mountain View, California, United States

Employment

Full-Time

Work mode

On-site

Experience

12+ years

Salary

$192K – $260K/yr

Pay vs market · Top quarter

This job's pay ($226,000 a year at the midpoint) is higher than about 85% of 119 salary-listed Full Stack Developer jobs in United States in the last 12 months; their median is $165,000.

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Role overview

Job description

P-1478 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 Senior 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.

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About this listing

  • Source: Databricks's official careers site · still listed there on 8 Nov 2026
  • Posted 29 Oct 2025

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Role market pulse

How Full Stack Developer demand looks in United States

68/100 · rising

Live jobs

188

Posted 30d

164

30d movement

+1540%

Remote share

29.3%

Salary listed

79.8%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

government license for such positions, and Employer may decline to proceed with an applicant on this basis alone

Department · Engineering - Pipeline

Hiring company

Databricks

Technology

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform.

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