채용

Sr. Staff Fullstack Engineer, Agentic Applications
Mountain View, California
·
On-site
·
Full-time
·
2mo ago
보상
$192,000 - $260,000
복지 및 혜택
•Healthcare
•Learning
필수 스킬
Python
JavaScript
TypeScript
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 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.
The impact you’ll have:
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Define the technical strategy and roadmap for building in-house solutions for critical internal workflows
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Partner closely with product management, design, and other engineering teams to build end-to-end, AI-powered solutions
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Eliminate technical risk by solving the most technically challenging issues or tackling the most complex development tasks facing the team
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Drive team best practices for engineering excellence, including design quality, operational reviews, testing strategies, and incident management.
What we look for:
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12+ years of software engineering experience, with a strong track record of technical leadership and impact.
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3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team.
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Experience designing and building end-to-end, full-stack cloud-native applications
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Customer obsession and product engineering mindset
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Strong communication skills and ability to influence technical and business stakeholders
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History of raising the engineering quality bar, focus on execution and operational rigor
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Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company business objectives.
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Passion for the data intelligence space.
Why Join Us?
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Work on high-impact, high-visibility initiatives that directly contribute to Databricks' growth trajectory.
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Lead and mentor a talented team of engineers solving challenging, customer-centric problems.
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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
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Comprehensive health coverage including medical, dental, and vision
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401(k) Plan
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Equity awards
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Flexible time off
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Paid parental leave
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Family Planning
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Gym reimbursement
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Annual personal development fund
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Work headphones reimbursement
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Employee Assistance Program (EAP)
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Business travel accident insurance
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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.
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, please visit https://www.mybenefitsnow.com/databricks.
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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Databricks 소개

Databricks
Series IDatabricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.
6,000+
직원 수
San Francisco
본사 위치
$43B
기업 가치
리뷰
3.8
10개 리뷰
워라밸
2.8
보상
4.0
문화
4.2
커리어
3.5
경영진
4.0
72%
친구에게 추천
장점
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good benefits and competitive compensation
단점
Poor work-life balance and long hours
High pressure and stressful environment
Heavy workload and overtime requirements
연봉 정보
34개 데이터
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1개 리포트
$171,004
총 연봉
기본급
$148,699
주식
-
보너스
-
$171,004
$171,004
면접 경험
6개 면접
난이도
3.2
/ 5
소요 기간
21-35주
경험
긍정 0%
보통 83%
부정 17%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Onsite/Virtual Interviews
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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·
5d ago