Software Developer 4

About the Company / Team

Oracle Health Infrastructure and Platform Services builds and operates the cloud foundations, shared platforms and engineering capabilities supporting Oracle Health products and services. Within OCI’s broadly distributed, multi-tenant cloud environment, the team develops an AI-native engineering platform of intelligent agents and reusable cloud capabilities that help engineers understand systems, reason through problems and safely execute work across the software lifecycle.

Key Responsibilities

• Discover high-value engineering opportunities and translate them into intelligent, production-ready platform capabilities.
• Design, build, and operate AI-native platform services and intelligent agents that amplify engineering teams across the software lifecycle.
• Own ambiguous engineering problems end-to-end, working backwards from customer and engineering needs to define outcomes, architecture, delivery plans, and operational measures.
• Partner across engineering, product, and domain teams to understand complex challenges, challenge conventional approaches, and deliver solutions with measurable impact.
• Architect and implement cloud-native distributed systems with a focus on scalability, reliability, security, maintainability, observability, and developer experience.
• Experiment rapidly with emerging AI technologies, validate ideas through prototypes, and evolve successful approaches into safe, production-ready platform capabilities.
• Build reusable, platform-first capabilities that enable multiple engineering teams and reduce duplicated point solutions.
• Influence technical direction through architecture, design reviews, engineering standards, technical decision-making, mentoring, and hands-on leadership.

Career Level - IC4

Qualifications & Skills

Mandatory

• At least 8 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 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.

Good-to-Have

No additional preferred qualifications are specified in the existing JD.

Self-Assessment Questions

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?