Principal Engineer, CSS Global SaaS & Apps Delivery, DevOps

We are looking for a versatile Senior Developer & Database Engineer with expertise across AI / ML, cloud-native development, DevOps, and enterprise database administration . In this role, you will work on building and optimizing AI / ML pipelines, developing scalable cloud-based applications, and managing mission-critical database environments. You will leverage Python, Golang, GraphQL, REST APIs, and OCI AI features , while also driving GPU / CPU optimization with CUDA, distributed training, and performance tuning . On the database side, you will manage and optimize Oracle Exadata for high availability, reliability, and scalability, including backup, recovery, and disaster recovery strategies. The role demands strong problem-solving skills, a DevOps mindset, and hands-on experience in automation, CI / CD, containers, and cloud infrastructure. This is a unique opportunity to work at the intersection of AI innovation, cloud systems, and advanced database technologies , delivering resilient and high-performing solutions at scale.

What You Will Do

You will play a dual role combining advanced development, DevOps, and DBA responsibilities, ensuring highly scalable, performant, and resilient systems. This role requires expertise in AI / ML model lifecycle, distributed computing, cloud-native application development, and enterprise-grade database administration. You will collaborate across engineering, data science, and operations teams to deliver reliable solutions that power mission-critical applications.

Core Responsibilities :

• Development & AI / ML
• Design, implement, and optimize AI / ML pipelines including AI Agents, RAG, model training, inferencing, and accuracy improvements.
• Utilize CUDA programming for GPU acceleration, focusing on CPU / GPU management, memory efficiency, precision optimization, and distributed training.
• Develop services using Python, Golang, GraphQL, OJet, REST APIs, and integrate with OCI AI features.
• Drive automation and performance tuning across the AI / ML lifecycle and data pipelines.
• DevOps & Systems Engineering
• Architect, deploy, and scale cloud-native applications across OCI, PaaS, SaaS, and IaaS environments.
• Implement CI / CD pipelines, automated testing, and infrastructure as code (Ansible, Puppet, Chef).
• Optimize distributed service design (messaging, caching, persistence, queuing).
• Manage containers, orchestration platforms, and monitoring / instrumentation solutions.
• Champion infrastructure security, compliance, and high-availability strategies.
• Database Administration
• Manage and optimize Oracle Exadata, Oracle, and SQL Server environments for high availability, scalability, and reliability.
• Perform database performance tuning, storage optimization, and query / index enhancements.
• Implement and maintain backup, recovery, and disaster recovery strategies for 24x7 production systems.
• Collaborate with developers to align database structures with evolving application needs.
• Execute upgrades, migrations, capacity planning, and storage management while enforcing security best practices.

What You Bring

Why Join Us

This is a unique opportunity to work at the intersection of AI, cloud-native application development, and database engineering, solving complex, large-scale challenges in a mission-critical environment. You will shape the next generation of intelligent, resilient, and high-performing systems.

Career Level - IC4