채용
복지 및 혜택
•Healthcare
•Equity
•Learning
•Parental Leave
필수 스킬
Python
JavaScript
TypeScript
P-1344
As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.
The impact you'll have:
Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure. For example, you might work on challenges such as:
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Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
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Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
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Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.
What we look for:
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8+ years of professional software development experience.
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Bachelor’s degree or higher in Computer Science, a related field, or equivalent experience.
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Proficiency in one or more backend languages such as Java, Scala, or Go.
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Hands-on experience in developing and operating large-scale, critical distributed backend systems.
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Demonstrated leadership throughout all project phases, from inception and design to implementation and operations, with a strong ability to drive architectural decisions and guide teams through complex challenges.
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Experience mentoring engineers, influencing best practices, and fostering a collaborative engineering environment.
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Self-driven and passionate with a strong focus on delivering impact through team collaboration.
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Strong written and verbal communication skills to drive alignment across teams, and contribute to both technical documentation and strategic decisions.
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Experience with infrastructure systems, security, and sensitive data, as well as familiarity with Kubernetes or cloud platforms like AWS, Azure, or GCP.
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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0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
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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
뉴스 & 버즈
Databricks Highlights Infrastructure Demands of AI Agent Workloads - TipRanks
TipRanks
News
·
3d ago
Governing Coding Agent Sprawl with Unity AI Gateway - Databricks
Databricks
News
·
4d ago
Introducing Genie Agent Mode - Databricks
Databricks
News
·
4d ago
Open Platform, Unified Pipelines: Why dbt on Databricks is Accelerating - Databricks
Databricks
News
·
5d ago