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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.
Career Level - IC3
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.
Qualifications & Skills
Mandatory Qualifications
Experience
•At least 5 years of software engineering experience building scalable applications, backend services, developer platforms, or distributed systems.
•Bachelor’s 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?
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