Computer Scientist-I
Adobe · Noida · 4–6 yrs experience · Posted 2026-07-08
Tech stack: AWS, Azure, Java, Kubernetes, REST API
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About the role
Role Overview Level - P30 Location - Noida This outstanding opportunity will allow you to develop and build enterprise-grade Java applications that power our world-class AEM platform. Your role will be crucial in architecting robust services, writing production-quality code, and taking end-to-end ownership of complex backend systems. If you have a proven track record and are ambitious, this role is for you! What You'll Do Compose and build enterprise Java applications — Architect and implement scalable, maintainable backend services and APIs that integrate with AEM and broader enterprise systems. Own significant components from development through production. Lead with architecture — Produce clear build documentation, ADRs, and system diagrams. Make principled decisions on service boundaries, data models, integration patterns, and failure handling. Write production-quality code — Deliver well-tested, well-reviewed Java that meets enterprise standards for reliability, performance, and security. Deploy and operate on Kubernetes — Package and ship services as containerized workloads. Understand pod lifecycle, resource management, config/secret handling, and basic cluster operations. Engage with cloud infrastructure — Partner with DevOps to launch services on Azure or AWS. Have sufficient knowledge to discuss networking, storage, IAM, and service dependencies. Own reliability — Participate in build reviews, code reviews, incident response, and post-mortems. Drive long-term fixes over short-term patches. Mentor and grow — Provide thoughtful code reviews, share architectural judgment, and help junior engineers grow their technical foundations. Apply AI across the SDLC — Champion AI-assisted development practices within the team and help establish standards for AI tooling in the engineering workflow. Collaborate on AI product delivery — Partner with product, data, and ML teams to translate AI use cases into well-defined service contracts and backend APIs. What You Bring 4-6 years of experience developing enterprise Java applications Deep proficiency in Java and the Spring ecosystem Solid understanding of REST API build and messaging patterns Proficiency with ORM frameworks and relational databases Familiarity with Kubernetes, containerization, and cloud services such as Azure or AWS Strong grasp of testing practices: unit, integration, contract testing Proven ability to build systems and produce clear design documentation Excellent communication skills and experience working asynchronously across distributed teams Dedicated and comfortable with ambiguity
Qualifications
- 4-6 years of experience developing enterprise Java applications
- Deep proficiency in Java and the Spring ecosystem
- Solid understanding of REST API build and messaging patterns
- Proficiency with ORM frameworks and relational databases
- Familiarity with Kubernetes, containerization, and cloud services such as Azure or AWS
- Strong grasp of testing practices: unit, integration, contract testing
- Proven ability to build systems and produce clear design documentation
- Excellent communication skills and experience working asynchronously across distributed teams Dedicated and comfortable with ambiguity
Responsibilities
- Overview Level P30 Location
- Noida This outstanding opportunity will allow you to develop and build enterprise-grade Java applications that power our world-class AEM platform.
- Your role will be crucial in architecting robust services, writing production-quality code, and taking end-to-end ownership of complex backend systems.
- If you have a proven track record and are ambitious, this role is for you!
- What You'll Do Compose and build enterprise Java applications
- Architect and implement scalable, maintainable backend services and APIs that integrate with AEM and broader enterprise systems.
- Own significant components from development through production.
- Lead with architecture
- Produce clear build documentation, ADRs, and system diagrams.
- Make principled decisions on service boundaries, data models, integration patterns, and failure handling.
- Write production-quality code
- Deliver well-tested, well-reviewed Java that meets enterprise standards for reliability, performance, and security.
- Deploy and operate on Kubernetes
- Package and ship services as containerized workloads.
- Understand pod lifecycle, resource management, config/secret handling, and basic cluster operations.
- Engage with cloud infrastructure
- Partner with DevOps to launch services on Azure or AWS.
- Have sufficient knowledge to discuss networking, storage, IAM, and service dependencies.
- Own reliability Participate in build reviews, code reviews, incident response, and post-mortems.
- Drive long-term fixes over short-term patches.
- Mentor and grow
- Provide thoughtful code reviews, share architectural judgment, and help junior engineers grow their technical foundations.
- Apply AI across the SDLC
- Champion AI-assisted development practices within the team and help establish standards for AI tooling in the engineering workflow.
- Collaborate on AI product delivery
- Partner with product, data, and ML teams to translate AI use cases into well-defined service contracts and backend APIs.