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Staff Fullstack Engineer, Agentic ApplicationsCacheflow • Mountain View, California, United States
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Staff Fullstack Engineer, Agentic Applications

Cacheflow
  • US
    Mountain View, California, United States
  • US
    Mountain View, California, United States
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About

The Enterprise 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 Enterprise 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!
Benefits
Comprehensive health coverage including medical, dental, and vision
401(k) Plan
Equity awards
Flexible time off
Paid parental leave
Family Planning
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Mental wellness resources
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 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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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  • Mountain View, California, United States

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  • English
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