Oracle

Principal Software Developer

Posted On

Feb. 7, 2026

Location

Bengaluru, Karnataka

Experience Level

Professional

Job Type

Permanent

Apply By

Aug. 6, 2026

Job Description

Oracle Application Labs (OAL) designs, maintains, and enhances the applications that power Oracle’s daily operations. The Oracle Store Platform team supports a global eCommerce platform serving customers, partners, franchisees, and employees. Join us to build innovative solutions from the ground up, improve existing systems, and contribute to cutting-edge initiatives in AI, cloud infrastructure, and enterprise engineering for an improved customer experience.

Technical Expertise:

Qualification & Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field. Minimum 5+ years’ hands-on experience in software development using Java, Python, Spring Boot, with strong grounding in data structures, algorithms, and their application in solving complex engineering challenges.
Application Development: Experience in designing, scalable microservices in an enterprise environment.
Self-Sufficiency: Proven ability to rapidly learn new technologies, prototype solutions, and independently design and implement application components.
LLM Technologies: Practical exposure to working with Large Language Models, including prompt engineering practices, fine-tuning methods, and model deployment strategies.
Agentic Frameworks: Hands-on development of agent-based workflows using frameworks such as OpenAI Agent SDK, LangGraph, or equivalent agent orchestration toolsets.
RAG Systems: Experience implementing Retrieval-Augmented Generation components including indexing, metadata strategies, hybrid search, relevance evaluation, and pipeline integration.

Preferred Qualifications

OCI Services: Experience with Oracle Cloud Infrastructure, including services such as OCI GenAI Service, Object Storage, API Gateway, Functions, or Streaming.
Containers: Hands-on familiarity with Kubernetes on Oracle Kubernetes Engine (OKE) and container tooling.
Vector Data Platforms: Familiarity with vector-enabled data systems such as Oracle 23ai Vector Database, Pinecone, FAISS, or comparable technologies (desirable).

Soft Skills & Leadership

Proven ability to drive technical outcomes, take ownership of deliverables, and work independently in fast-evolving AI solution spaces.
Strong communication skills, with the ability to articulate technical concepts, document solution approaches, and collaborate across distributed teams.
Demonstrated problem-solving ability when working with complex AI workloads, distributed systems, and cloud-native application behaviors.
A proactive, experimentation-oriented mindset with a strong willingness to learn emerging AI technologies, frameworks, and engineering patterns.

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