Oracle is seeking a Principal Data Systems Software Engineer to design, architect, and build the next generation of cloud-native platform services powering Oracle Database Cloud.
This is primarily a core software engineering role focused on large-scale distributed systems, cloud-native architecture, and enterprise platform development. The ideal candidate has extensive experience designing and building highly scalable backend systems, microservices, and cloud platforms, along with hands-on experience applying modern AI technologies such as Generative AI, LLMs, AI Agents, and Retrieval-Augmented Generation (RAG) to solve real-world engineering problems.
You will work on critical platform capabilities including database provisioning, lifecycle management, monitoring, automation, and operational intelligence while helping evolve the platform with AI-powered capabilities that improve automation, reliability, and developer productivity.
Key Responsibilities
- Design, architect, and develop highly scalable cloud-native services supporting Oracle Database on OCI.
- Build enterprise-grade distributed systems emphasizing scalability, resiliency, high availability, observability, and security.
- Design and implement microservices and event-driven architectures for mission-critical cloud platform services.
- Drive architecture and technical design for large-scale backend platform components.
- Build platform capabilities for provisioning, lifecycle management, monitoring, automation, and operational workflows.
- Apply Generative AI technologies-including LLMs, AI Agents, and RAG-to enhance platform intelligence and operational automation.
- Design enterprise integrations across databases, APIs, cloud services, and internal platforms.
- Collaborate closely with Product Management, Compute Engineering, Operations, and other Oracle engineering teams.
- Lead technical initiatives, mentor engineers, and influence engineering best practices.
- Troubleshoot complex production issues and drive root cause analysis for highly available cloud services.
Qualifications & Skills
Required
- Bachelor's or Master's degree in Computer Science or related field.
- 6+ years of experience designing and developing enterprise software products or cloud platform services.
- Strong experience building large-scale distributed systems and cloud-native applications.
- Proven experience designing and implementing backend services, microservices, and event-driven architectures.
- Strong software engineering fundamentals including:
- Distributed systems
- Concurrency
- System design
- API design
- Data modeling
- Performance optimization
- Strong programming experience in Java and/or Python.
- Experience developing production services on OCI, AWS, Azure, or GCP.
- Experience with Kubernetes, Containers, REST APIs, and cloud-native technologies.
- Experience building enterprise software with scalability, availability, observability, and security as core design principles.
- Experience with CI/CD pipelines, Infrastructure as Code (Terraform), and DevOps practices.
- Experience integrating enterprise systems, databases, and cloud services.
AI Experience
Hands-on experience applying modern AI technologies in production systems, including one or more of the following:
- Generative AI applications
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agents
- Prompt Engineering
- Model orchestration frameworks
- Vector databases and embeddings
- AI evaluation frameworks
- AI inference services
Note: AI/ML expertise is expected as part of building modern intelligent cloud services. However, this role is fundamentally a software engineering and distributed systems position rather than an AI research or data science role.
Preferred Qualifications
Experience with one or more of:
- Database platforms or database internals
- Enterprise cloud platform development
- AI Copilots or Agentic AI platforms
- MCP (Model Context Protocol)
- Knowledge Graphs
- Semantic Search
- Linux internals
- Performance engineering
- Multi-tenancy
- SLO-driven service engineering
- AI governance and responsible AI
- Enterprise workload modernization
What We're Looking For
We are looking for engineers who have:
- Built enterprise software products used at large scale.
- Designed and developed distributed systems running in production.
- Strong backend development expertise in Java and/or Python.
- Experience architecting cloud-native services and microservices.
- A passion for applying AI technologies to improve enterprise platforms rather than building standalone AI products.
- Excellent system design and technical leadership skills.
Self-Assessment
You may be a great fit if you can answer Yes to most of these:
- Have I designed and built large-scale enterprise software or cloud platform services
- Have I architected distributed systems that run reliably at production scale
- Am I experienced in Java and/or Python backend development
- Have I designed cloud-native microservices with scalability, observability, and security in mind
- Have I applied Generative AI, LLMs, RAG, or AI Agents to solve enterprise software problems
- Can I lead technical design discussions and mentor engineers
Career Level - IC4
