Senior Principal Software Development Engineer, AI Data Platform

Oracle is a leading company in AI and cloud solutions, and they are seeking a Senior Principal Software Development Engineer for their AI Data Platform. The role involves providing architectural guidance, designing and optimizing data platforms, and collaborating with cross-functional teams to ensure the adoption of Oracle's AI Data Platform and related technologies.

Responsibilities:

• Strong data engineering, HPC, and data science experience. Spark, PySpark, Delta Lake, Parquet, Feature Extraction, MLOps, Flink, with a deep understanding of the distributed systems techniques that make these services work
• Full stack development experience. This includes web app development, RESTful APIs, SSE, all the way to deploying your solution
• Design, implement, and maintain scalable software components and services that support AI/ML workloads
• Build APIs, SDKs, and automation frameworks to streamline the adoption of Oracle AI Data Platform and Gen AI services
• Optimize performance, scalability, and reliability of distributed data/AI systems
• Collaborate with cross-functional teams (engineering, product, and field) to solve complex technical challenges
• Participate in code reviews, testing, and CI/CD to ensure high-quality deliverables
• Document technical designs and contribute to knowledge-sharing (e.g., blogs, internal docs, demos)
• Continuously explore new tools, frameworks, and best practices in AI, cloud, and data engineering
• Experience with LLMs and agentic frameworks (e.g., MCP, LangChain, CrewAI, Semantic Kernel)
• Knowledge of RAG pipelines and vector DBs (e.g., Oracle 26ai, FAISS, Pinecone, Weaviate)
• Familiarity with OCI Gen AI Services and model lifecycle workflows
• Solid Python and REST API skills
• Exposure to building autonomous agents and orchestration pipelines
• Experience working with cloud platforms like Oracle Cloud Infrastructure (OCI) and Oracle Cloud Infrastructure Big Data Service (BDS) and Big Data Appliance (BDA)
• Proficiency in big data technologies such as Hadoop, Spark, Kafka, and Nosql
• Design and implement scalable, secure, and efficient complex data architectures
• Manage and optimize large-scale databases
• Must have a solid understanding of networking concepts to design and optimize data transmission networks, configure network settings, and diagnose and resolve network-related issues
• Troubleshooting and problem-solving skills
• Excellent communication and collaboration skills
• Commitment to continuous learning and staying up-to-date with the latest big data technologies and trends
• Worked with multiple Cloud Platforms
• Certification in Data Platform or a related field

Requirements:

• Strong data engineering, HPC, and data science experience. Spark, PySpark, Delta Lake, Parquet, Feature Extraction, MLOps, Flink, with a deep understanding of the distributed systems techniques that make these services work
• Full stack development experience. This includes web app development, RESTful APIs, SSE, all the way to deploying your solution
• Design, implement, and maintain scalable software components and services that support AI/ML workloads
• Build APIs, SDKs, and automation frameworks to streamline the adoption of Oracle AI Data Platform and Gen AI services
• Optimize performance, scalability, and reliability of distributed data/AI systems
• Collaborate with cross-functional teams (engineering, product, and field) to solve complex technical challenges
• Participate in code reviews, testing, and CI/CD to ensure high-quality deliverables
• Document technical designs and contribute to knowledge-sharing (e.g., blogs, internal docs, demos)
• Continuously explore new tools, frameworks, and best practices in AI, cloud, and data engineering
• Experience with LLMs and agentic frameworks (e.g., MCP, LangChain, CrewAI, Semantic Kernel)
• Knowledge of RAG pipelines and vector DBs (e.g., Oracle 26ai, FAISS, Pinecone, Weaviate)
• Familiarity with OCI Gen AI Services and model lifecycle workflows
• Solid Python and REST API skills
• Exposure to building autonomous agents and orchestration pipelines
• Experience working with cloud platforms like Oracle Cloud Infrastructure (OCI) and Oracle Cloud Infrastructure Big Data Service (BDS) and Big Data Appliance (BDA)
• Proficiency in big data technologies such as Hadoop, Spark, Kafka, and Nosql
• Design and implement scalable, secure, and efficient complex data architectures
• Manage and optimize large-scale databases
• Must have a solid understanding of networking concepts to design and optimize data transmission networks, configure network settings, and diagnose and resolve network-related issues
• Troubleshooting and problem-solving skills
• Excellent communication and collaboration skills
• Commitment to continuous learning and staying up-to-date with the latest big data technologies and trends
• Worked with multiple Cloud Platforms
• Certification in Data Platform or a related field