Role at a glance
- Salary
- $192K – $260K/yr
- Location
- Mountain View, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The Agentic Applications team at Databricks builds in-house platforms and AI-powered capabilities for internal business workflows. This technical leadership role guides a team of software engineers in delivering end-to-end applications that support employees and business operations.
What You'll Do
- Define the technical strategy and roadmap for in-house solutions for critical internal workflows
- Partner with product management, design, and engineering teams to build end-to-end, AI-powered solutions
- Solve technically challenging issues and complex development tasks to eliminate technical risk
- Drive engineering best practices covering design quality, operational reviews, testing strategies, and incident management
- Mentor junior engineers and serve as the technical leader for a team of software engineers
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
12+ years of software engineering experience; 3+ years of engineering leadership experience; experience designing and building end-to-end, full-stack cloud-native applications; strong communication and collaboration skills; experience raising engineering quality and operational rigor.
Required
- 12+ years of software engineering experience
- 3+ years of engineering leadership experience
- Experience designing and building end-to-end, full-stack cloud-native applications
- Strong communication skills
- Ability to collaborate across product, engineering, and business teams
Preferred
- Customer obsession and product engineering mindset
- History of raising the engineering quality bar, focus on execution and operational rigor
- Passion for the data intelligence space
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.