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Senior Software Engineer (App-Framework)

Databricks

Senior Software Engineer (App-Framework)

Databricks

Bengaluru, India

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Team events and activities

Flexible work arrangements

Comprehensive health, dental, and vision insurance

Professional development budget

Flexible Hours

Healthcare

Learning

Required Skills

TypeScript

JavaScript

Node.js

P-926

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines.

The Role :

We are seeking a highly skilled and experienced Senior Software Engineer with a deep understanding of low-level systems to join our team. In this role, you will be instrumental in designing, developing, and optimizing application frameworks that form the building blocks for all software development at Databricks. Your expertise will be focused on the intricate details of system internals, performance, and efficiency.

What we look for :

  • Design, implement, and maintain core system infrastructure and low-level software components.

  • Optimize system performance, reliability, and scalability through meticulous analysis and innovative solutions.

  • Work with JVM internals, memory management, concurrency, and distributed systems.

  • Collaborate with other senior engineers and architects to define technical strategies and roadmaps.

  • Mentor junior engineers and contribute to a culture of technical excellence.

  • Participate in code reviews, design discussions, and architectural decision-making.

  • Troubleshoot complex system issues and provide effective resolutions.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

  • 7+ years of professional experience in software development.

  • Deep understanding of Java Virtual Machine (JVM) internals, including garbage collection, JIT compilation, class loading, and memory model.

  • Proficiency in at least one JVM language and extensive experience with its runtime environment.

  • Strong programming skills in Scala/Java/Rust or other systems-level languages.

  • Extensive experience with operating system concepts; including processes, threads, concurrency, scheduling, and I/O.

  • Proven track record of building and optimizing high-performance, scalable, and reliable systems.

  • Experience with distributed systems concepts and technologies.

  • Excellent problem-solving, analytical, and debugging skills.

  • Strong communication and collaboration abilities

  • Experience with performance profiling and tuning tools.

  • Contributions to open-source projects related to JVM or systems software.

  • Experience with RPC frameworks.

If you are a systems-level expert with a passion for optimizing the core of technology and possess a deep understanding of JVM internals, we encourage you to apply and help us build the future.

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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About Databricks

Databricks

Databricks

Series I

Databricks, 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+

Employees

San Francisco

Headquarters

$43B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

3.5

Compensation

4.7

Culture

4.3

Career

4.5

Management

4.0

86%

Recommend to a Friend

Pros

Working on industry-leading data and AI platform

Excellent compensation with high equity upside

Strong engineering culture with Apache Spark creators

Cons

High intensity work environment with demanding deadlines

Work-life balance can suffer during key releases

Growing pains as company scales rapidly

Salary Ranges

25 data points

Mid/L4

Senior/L5

Mid/L4 · Corporate Development Manager

1 reports

$171,004

total / year

Base

$148,699

Stock

-

Bonus

-

$171,004

$171,004

Interview Experience

9 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

22%

Experience

Positive 22%

Neutral 67%

Negative 11%

Interview Process

1

Application Review

2

Recruiter/Phone Screen

3

Technical Interview/Coding Round

4

System Design Interview

5

Behavioral Interview

6

Final Round/Hiring Manager Interview

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge