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Computer Scientist 1

Adobe

Computer Scientist 1

Adobe

Bangalore

·

On-site

·

Full-time

·

1mo ago

Required skills

Python

Java

AWS

Docker

Kubernetes

GCP

Azure

Kafka

Spark

Scala

Machine Learning

Our Company

Changing the world through digital experiences is what Adobe’s all about.

We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences!

We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.

We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

Are you ready to take on an exciting challenge with Adobe?

As a Computer Scientist 1, you will be at the forefront of innovation, working in an environment that fosters creativity and collaboration.

This role offers an outstanding opportunity to contribute to world-class engineering projects in Bangalore, Karnataka, India.

Join us in our mission to build flawless and scalable solutions that make a difference!Requirements6+ years of professional software engineering experience.

Proven ability to lead features or systems end-to-end — from build through implementation to deployment and monitoring.

Strong proficiency in Scala, Java, or Python (with Spark expertise in at least one).Deep understanding of Apache Spark internals, tuning, and optimization (structured streaming is a plus).Experience with microservices architecture and frameworks (e.g., Spring Boot, FastAPI, or similar).Solid grasp of distributed systems concepts like consistency, availability, partitioning, and fault tolerance.

Hands-on experience with cloud platforms (AWS, GCP, or Azure) and orchestration tools (Docker, Kubernetes) or equivalent experience.

Familiarity with messaging/streaming platforms such as Kafka, Pulsar, or similar.

Nice to Have Experience with data lake formats like Delta Lake, Iceberg, etc.

Understanding of data governance, lineage, and compliance requirements.

Exposure to machine learning infrastructure or MLOps pipelines.

Familiarity with Generative AI efficiency tools (e.g., GitHub Copilot, ChatGPT, code generation workflows).Background or interest in machine learning models, data science workflows, or AI-powered systems.

Strong system development skills and interest in technical leadership.

Adobe is proud to be an Equal Employment Opportunity employer.

We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.

Learn more.

Adobe aims to make Adobe.com accessible to any and all users.

If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

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About Adobe

Adobe

Adobe

Public

Adobe Inc., formerly Adobe Systems Incorporated, is an American multinational computer software company based in San Jose, California.

10,001+

Employees

San Jose

Headquarters

$126B

Valuation

Reviews

2.9

2 reviews

Work-life balance

3.0

Compensation

3.2

Culture

2.5

Career

2.3

Management

2.5

25%

Recommend to a friend

Pros

Competitive base salary for new graduates

Good entry-level compensation in major markets

Established company with financial stability

Cons

Limited skill transferability to other tech stacks

Unclear compensation competitiveness

Negative reviews and limited information about AEM

Salary Ranges

751 data points

Junior/L3

L2

L3

L4

L5

L6

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist L2

0 reports

$175,386

total per year

Base

-

Stock

-

Bonus

-

$149,078

$201,694

Interview experience

3 interviews

Difficulty

3.3

/ 5

Interview process

1

Application Review

2

Online Assessment (HackerRank)

3

Technical Interview

4

Coding Rounds

5

System Design Interview

6

Behavioral Interview

7

Team Matching

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

GenAI/ML Concepts