Senior AI Native Platform Engineer (Java & Python)

JD:

AI-Native Platform Engineer (IC3) Oracle Health Infrastructure and Platform Services

About the Company/Team

Oracle Health Infrastructure and Platform Services builds and operates the cloud foundations shared platforms and engineering capabilities that support Oracle Health products and services.

The Oracle Cloud Infrastructure (OCI) team provides the opportunity to build and operate massive-scale integrated cloud services in a broadly distributed multi-tenant environment. OCI is committed to delivering secure reliable cloud products for customers addressing some of the worlds most important challenges.

Within Oracle Health this team is building an AI-native engineering platform: a set of intelligent agents and reusable cloud capabilities that help engineering teams understand complex systems reason through problems and safely execute work across the software lifecycle.

Job Summary

Oracle Health Infrastructure and Platform Services is looking for engineers with experience building cloud-native AI-assisted platforms and systems.

The role combines hands-on software engineering cloud platform development and operational ownership. You will help turn complex or manual engineering work into safe repeatable platform capabilities and runbooks that improve developer productivity reliability and customer outcomes.

The ideal candidate brings strong engineering fundamentals sound judgment in mission-critical or regulated environments and curiosity about applying emerging AI technologies responsibly in production systems.

Key Responsibilities

• Design build test deploy and operate AI-native platform services that improve how Oracle Health engineers build deliver and manage software.
• Build intelligent agents and AI-powered capabilities that augment engineering teams accelerate software development and help engineers solve complex problems with greater speed and confidence.
• Contribute to the design and implementation of scalable platform capabilities partnering with senior engineers to solve complex technical problems.
• Collaborate with engineering product and domain teams to understand requirements and deliver high-quality software with measurable impact.
• Develop cloud-native distributed systems with a focus on scalability reliability security maintainability observability and developer experience.
• Experiment with emerging AI technologies validate ideas through prototypes and help evolve successful concepts into production-ready capabilities.
• Build reusable software components APIs tools and platform services that can be adopted across multiple engineering teams.
• Contribute to engineering excellence through code reviews design discussions automated testing operational readiness documentation and continuous learning.
• At least 5 years of software engineering experience building scalable applications backend services developer platforms or distributed systems.
• Bachelors degree in Computer Science or a related technical discipline or equivalent practical experience.
• Demonstrated ability to solve technical problems deliver high-quality software and collaborate effectively within engineering teams.
• Strong programming skills in Java Python or another object-oriented programming language.
• Strong computer science fundamentals including data structures algorithms operating systems networking and distributed systems.
• Experience developing cloud-native applications or services on OCI AWS Azure Google Cloud Platform or a comparable cloud environment.
• Experience with modern software engineering practices including source control automated testing code review CI/CD and production support.
• Understanding of scalability reliability security observability and maintainability in distributed systems.
• Ability to troubleshoot software and platform issues using logs metrics traces and other diagnostic data.
• Strong written and verbal communication skills.
• Hands-on learning-oriented mindset with a focus on delivering reliable outcomes.
• Strong analytical troubleshooting and problem-solving skills.
• Ability to work effectively with globally distributed engineering product operations security and domain teams.
• Ability to balance speed quality and operational safety in a mission-critical environment.
• Commitment to clear technical documentation maintainable code and continuous improvement.
• Experience building AI-enabled applications intelligent agents or software using modern AI development tools.
• Experience with AI engineering concepts such as retrieval-augmented generation (RAG) tool calling Model Context Protocol (MCP) vector databases prompt evaluation or model orchestration.
• Experience using Python for AI automation tooling or backend development.
• Experience with Kubernetes Docker Terraform Infrastructure as Code or cloud-native platform engineering practices.
• Experience building developer tools internal platforms or engineering productivity solutions.
• Experience with observability telemetry logging tracing diagnostics or production engineering.
• Experience working on large-scale distributed systems or in healthcare security compliance or another mission-critical enterprise environment.

Qualifications & Skills

Mandatory Qualifications

Experience

• At least 5 years of software engineering experience building scalable applications backend services developer platforms or distributed systems.
• Bachelors degree in Computer Science or a related technical discipline or equivalent practical experience.

• Demonstrated ability to solve technical problems deliver high-quality software and collaborate effectively within engineering teams.

Technical Skills

• Strong programming skills in Java Python or another object-oriented programming language.
• Strong computer science fundamentals including data structures algorithms operating systems networking and distributed systems.
• Experience developing cloud-native applications or services on OCI AWS Azure Google Cloud Platform or a comparable cloud environment.
• Experience with modern software engineering practices including source control automated testing code review CI/CD and production support.
• Understanding of scalability reliability security observability and maintainability in distributed systems.
• Ability to troubleshoot software and platform issues using logs metrics traces and other diagnostic data.
• Strong written and verbal communication skills.

Core Competencies

• Hands-on learning-oriented mindset with a focus on delivering reliable outcomes.
• Strong analytical troubleshooting and problem-solving skills.
• Ability to work effectively with globally distributed engineering product operations security and domain teams.
• Ability to balance speed quality and operational safety in a mission-critical environment.
• Commitment to clear technical documentation maintainable code and continuous improvement.

Good-to-Have Qualifications

• Experience building AI-enabled applications intelligent agents or software using modern AI development tools.
• Experience with AI engineering concepts such as retrieval-augmented generation (RAG) tool calling Model Context Protocol (MCP) vector databases prompt evaluation or model orchestration.
• Experience using Python for AI automation tooling or backend development.
• Experience with Kubernetes Docker Terraform Infrastructure as Code or cloud-native platform engineering practices.
• Experience building developer tools internal platforms or engineering productivity solutions.
• Experience with observability telemetry logging tracing diagnostics or production engineering.
• Experience working on large-scale distributed systems or in healthcare security compliance or another mission-critical enterprise environment.

Self-Assessment Questions

Before applying consider the following questions to assess your fit for the role:

1. Have I built and operated production software or cloud services using Java Python or another object-oriented programming language
2. Can I explain how I have applied distributed-systems fundamentals to improve scalability reliability security or maintainability
3. Have I contributed to reusable developer tools platform services automation or AI-enabled capabilities used by other engineers
4. Can I demonstrate effective collaboration testing troubleshooting documentation and operational ownership for software delivered to production

Qualifications & Skills

Mandatory Qualifications

Experience

• At least 8 years of software engineering experience building scalable applications backend services developer platforms or distributed systems.
• Bachelors degree in Computer Science or a related technical discipline or equivalent practical experience.
• Demonstrated ability to independently own complex engineering problems from discovery through production and measurable adoption.
• Strong programming skills in Java Python or another object-oriented programming language.
• Deep understanding of distributed systems cloud-native architectures API design software engineering best practices and production operations.
• Experience designing reusable platform capabilities developer tools or engineering solutions adopted by multiple teams.
• Demonstrated ability to make sound architectural trade-offs across scalability reliability security cost maintainability and developer experience.
• Experience leading technical design resolving ambiguity and driving complex initiatives across organizational boundaries.
• Ability to use operational data customer feedback and engineering metrics to prioritize work and demonstrate impact.
• Strong communication technical leadership mentoring and problem-solving skills.
• Platform-first mindset with a focus on leverage reuse and durable engineering outcomes.
• Strong product and customer judgment when identifying high-value engineering problems.
• Ability to lead through influence and collaborate effectively with globally distributed engineering product operations security and domain teams.
• Sound judgment when introducing new technology into mission-critical or regulated environments.
• Ability to raise engineering standards through clear architecture documentation mentoring and operational accountability.
• Experience building AI-native applications intelligent agents or agentic systems using large language models.
• Experience with AI engineering concepts such as retrieval-augmented generation (RAG) tool calling Model Context Protocol (MCP) vector databases evaluation frameworks guardrails or model orchestration.
• Experience applying AI to software engineering developer productivity incident response diagnostics or platform operations.
• Experience building cloud-native platforms on OCI AWS Azure Google Cloud Platform or a comparable cloud environment.
• Experience with Kubernetes Docker Terraform Infrastructure as Code and modern platform engineering practices.
• Experience designing reusable platform capabilities adopted across multiple engineering organizations.
• Experience with observability platforms telemetry pipelines diagnostics production engineering healthcare security compliance or another highly regulated environment.

Technical Skills

Core Competencies

Good-to-Have Qualifications

Self-Assessment Questions

Before applying consider the following questions to assess your fit for the role:

1. Have I independently discovered and owned an ambiguous high-impact engineering problem from initial framing through production adoption
2. Have I designed reusable platform capabilities or developer tools that were adopted across multiple engineering teams
3. Can I demonstrate architectural leadership and sound trade-off decisions for scalable reliable secure distributed systems
4. Have I influenced technical direction mentored engineers and delivered measurable outcomes through cross-team collaboration

Career Level - IC4