Sr. Staff Fullstack Engineer, Agentic Applications

Databricks
Mountain View, United States of America
21 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 260K

Job location

Mountain View, United States of America

Tech stack

Artificial Intelligence
Data Intelligence
Software Engineering
Software Systems
Strategies of Testing
Enterprise Software Applications
Spring Cloud

Job description

As a Senior 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., * 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.

Requirements

Do you have experience in Team development?, * 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.

Benefits & conditions

  • 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.

Local Pay Range $192,000-$260,000 USD, At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

About the company

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.

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