Software Developer

As a Senior Applications Engineer, you should be proficient in writing performant code in Java for distributed systems which are meant for containerization, orchestration, and cloud-native architectures.
You will collaborate with cross-functional teams to build scalable, reliable, and production-ready solutions. Oracle is investing heavily in Generative AI, having a good understanding and experience in leveraging the capabilities of Large Language Models would be a plus. In this role, you will design, develop, and build scalable services that leverage from latest and greatest advancements in software development and GenAI to solve complex business problems intelligently. Your expertise will be pivotal in building end to end software solutions flows that includes data base design, conversational AI solutions, Agentic flows using LLM and other cutting-edge Machine learning techniques to shape up and enhance users' experience. You will also partner with product managers, software engineers, and operation teams to leverage engineering innovations to simplify the business requirements into scalable solutions.The ideal candidate is highly technical, proficient in Java, data base designs; have experience of building scalable solutions; can lead across the full stack; along with good product sense and business understanding to map the technology choices to the context of each initiative.

• BS/MS in Computer Science or related fields
• Proficient in Java and object-oriented concepts
• Proficient in Data modeling and database design
• Proficient in Data structures and Algorithms
• Comfortable in writing code in python
• Should be able to contribute to the design reviews and have opinion about design decisions
• Good working knowledge of Micro-services Architecture, Application Architecture, and Technology Architecture
• Experience in building GenAI solutions using RAG framework and building LLM Agentic applications is preferred.
• Experience with containers and cloud native components
• Experience with scripting languages for developing automations
• Experience in developing resilient and fault tolerant systems.
• 5+; years software engineering experience in a distributed cloud environment and hands-on experience in building GenAI solutions.

1. Write elegant and performant code in Java and unit test them
2. Create detailed technical designs specifications, present it to the team and write code as per the design. 3. Perform thorough code reviews for the Java code written by peers 4. Design and build scalable solutions for distributed systems using microservices 5. Develop proof of concepts in Java as well as python for AI and GenAI solutions 6. Build high-quality, scalable, and efficient software solutions that brings GenAI capabilities, leveraging latest advancements such as Agentic LLM and RAG frameworks,etc. in GenAI space 7. Leverage third-party and in-house ML tools & OCI platform to develop reusable, highly performant machine learning systems with low-latency serving and reliable means to update/re-train ML models 8. Work collaboratively with cross-functional partners including product managers, operations team, and data scientists 9. Communicate accurately about the progress during scrum meetings 10. Ensure quality of work through development standards and QA procedures 11. Keen on improvising technical solutions and processes emphasizing discovery through doing, iteration, and feedback loops 12. Identify opportunities for business impact, understand and prioritize requirements for machine learning systems and data pipelines, drive engineering decisions, and quantify impact.