Computer Scientist-II

Location: Noida, Bangalore

Time Type: Full time

Job Description

Computer Scientist II – Adobe Experience Platform

Our Company

The Opportunity

Job Responsibilities

• Lead the technical design and implementation strategy for major systems and components of AEP Knowledge Base and the Agentic ecosystem.
• Strong background in distributed storage (Delta Lake, Iceberg), compute (Spark), data warehousing (Snowflake, BigQuery, Redshift) and cloud services (Azure, AWS, GCP).
• Knowledge of Vector Stores (FAISS, Pinecone, Weaviate, Milvus).
• Optimize for quality of data, low latency, high reliability and scalability across enterprise environments.
• Establish best practices for evaluation, safety, and guardrails for system behavior.
• Collaborate with research and product teams to integrate modern capabilities into the Platform.
• Mentor engineers and drive technical excellence in building production-grade systems.

What you will need to succeed

• 7+ years in design and development of large scale data intensive distributed systems.
• In depth work experience on technologies like Apache Spark, Delta Lake, Snowflake, Kubernetes, etc.
• Hands-on experience with public cloud platforms (Azure, AWS, or GCP).
• Strong background in relational databases (PostgreSQL, MySQL).
• Proficiency in Java, Scala, or Python, and a deep understanding of algorithms and data structures.
• A strong sense of ownership and cost-conscious design for compute and memory efficiency.
• Excellent communication skills and the ability to collaborate effectively with multi-functional teams.
• Bachelor’s, Master’s, or PhD in Computer Science or a related technical field with equivalent experience.

Why Adobe

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. 

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

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 protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process 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 [email protected] or call +1 408-536-3015. 

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.