Senior Software Development Engineer, AI Data Platform

Oracle

Quick summary

Work type
On-site
Location
—
Salary
$79,200–$178,100 / yr
Posted
50 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $129k
$58k most similar roles pay here $274k

This role pays less than 95% of similar roles. Most pay $162,225–$235,750 — the shaded band above. At the midpoint, this role pays about $129k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 467 open roles on FindRole.

Listed pay typically runs $97,500–$209,500 across 353 roles with salary data.

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At a glance

TL;DR · Senior Software Development Engineer, AI Data Platform

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As a Senior Software Development Engineer on Oracle’s Forward Deployed Engineer (FDE) team, you will play a pivotal role in designing and optimizing AI/ML-centric data platforms for global customers. Your responsibilities include providing architectural guidance, developing scalable software components, building APIs and SDKs to streamline platform adoption, and ensuring the performance and reliability of distributed systems. You will work closely with cross-functional teams to solve complex technical challenges and participate in code reviews and CI/CD processes. Key skills required are expertise in LLMs, agentic frameworks, RAG pipelines, vector DBs, OCI Gen AI Services, Python, REST APIs, and big data technologies like Spark, Delta Lake, Parquet, and Hadoop. This role demands a deep understanding of distributed systems and full-stack development experience to deliver high-quality solutions that support Oracle’s Analytics and AI Service Excellence initiatives at scale.

Skills

Python RESTful APIs Oracle Cloud Infrastructure (OCI) Spark PySpark Delta Lake Parquet MLOps Flink CI/CD LLMs agentic frameworks MCP LangChain Semantic Kernel RAG pipelines vector DBs Oracle 26ai FAISS Pinecone Weaviate Hadoop Kafka NoSQL

What you'll do

  • Design, implement, and maintain scalable software components for AI/ML workloads.
  • Build APIs, SDKs, and automation frameworks to streamline Oracle AI Data Platform adoption.
  • Optimize performance, scalability, and reliability of distributed data/AI systems.
  • Participate in code reviews, testing, and CI/CD processes to ensure high-quality deliverables.
  • Document technical designs and contribute to knowledge-sharing initiatives internally.

What we're looking for

  • 3+ years of experience in data engineering, HPC, and data science with expertise in Spark, PySpark, Delta Lake, Parquet, Feature Extraction, MLOps, Flink
  • Strong full stack development skills including web app development, RESTful APIs, SSE, deployment processes
  • Experience designing, implementing, and maintaining scalable software components for AI/ML workloads
  • Proficiency with Oracle Cloud Infrastructure (OCI) and big data technologies like Hadoop, Kafka, NoSQL
  • Knowledge of large language models (LLMs), agentic frameworks, RAG pipelines, vector DBs, and OCI Gen AI Services
  • Excellent problem-solving skills and commitment to continuous learning in AI, cloud, and data engineering

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