Principal AI-Native Platform Engineer

Oracle; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Oracle Health Infrastructure and Platform Services is seeking engineers with experience in cloud‑native, AI‑assisted platforms. The role blends hands‑on software engineering, cloud development, and operational ownership to create reusable platform capabilities that improve developer productivity and customer outcomes.

The ideal candidate has strong engineering fundamentals, sound judgment for mission‑critical environments, and curiosity about applying emerging AI technologies responsibly in

Qualifications

• At least 8 years of software engineering experience building scalable apps or distributed systems.
• Bachelor’s degree in Computer Science or related discipline, or equivalent practical experience.
• Ability to own complex engineering problems from discovery through production and adoption.

Responsibilities

• Discover high‑value engineering opportunities and translate them into platform capabilities.
• Design, build, and operate AI‑native platform services and intelligent agents.
• Own ambiguous problems end‑to‑end, defining outcomes, architecture, and delivery plans.
• Collaborate across teams to understand challenges and deliver measurable impact.
• Architect distributed systems with emphasis on scalability, reliability, and observability.

Skills

Backend platform design

Distributed systems

Cloud-native architectures

Java/Python

Leadership

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes

Docker

Terraform

OCI

Job description

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 world’s 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

• 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.

Qualifications & Skills

Mandatory Qualifications

Experience

• 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.

Technical Skills

• 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.

Core Competencies

• 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.

Good‑to‑Have Qualifications

• 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 with observability platforms, telemetry pipelines, diagnostics, production engineering, healthcare, security, compliance, or another highly regulated environment.

Self‑Assessment Questions

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

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