Architect - Remote

With your superb technical, research and analytical capabilities and demonstrated ability to get the right things done quickly and effectively to delight our customers, you'll partner with the existing leaders in the organization to drive innovation for Substrate and be a force multiplier for the next generation of engineers on how to take on such projects. You will envision, collaborate with executives for investment and drive the software design and development for new major components of Oracle Health. Making these deep architectural changes calls for an outstanding builder and technical leader with an established industry track record of success in leading large cloud scale projects.

Responsibilities

• Design and develop scalable, high-performance cloud services for customers
• Create service architectures and contribute to product strategy
• Build production automation for hands-off operations
• Leverage artificial intelligence and machine learning technologies in solution design
• Maintain integration and production systems
• Partner with architects, engineers, product managers, and executives on product roadmaps
• Align engineering teams with strategic vision and drive technical consensus
• Deliver customer-focused solutions on schedule
• Mentor junior engineers and develop team talent
• Provide technical guidance to leadership and stakeholders
• Champion engineering excellence and best practices

Technical Competencies

• Exceptional communication skills, technically fearless, and a strong product instinct with the ability to absorb business context, shape technical strategy, and build high-performing engineering cultures. Demonstrates sound judgment grounded in deep critical thinking.
• Deep expertise in full-stack architecture , including the design and deployment of scalable, cloud-native distributed systems supporting mission-critical workloads.
• Strong knowledge of data structures, algorithms, operating systems, distributed systems fundamentals , and modern AI-driven architectural patterns .
• Expert-level programming capability in Java, Go, and Python , with hands-on experience building large, complex backend systems, APIs, microservices, and AI-integrated workflows.
• Extensive experience designing and implementing AI agents , AI algorithms , agentic workflows , and machine-learning-powered system components , including orchestration patterns and data pipelines that support adaptive, autonomous decision-making.
• Deep understanding of databases, NoSQL systems, distributed storage , and persistence technologies; experience designing resilient, multi-tenant environments across virtualized and containerized infrastructures.
• Expert knowledge of cloud infrastructure concepts , modern CI/CD automation, observability systems, and reliable deployment mechanisms for high-scale, high-availability services.
• Comfortable leading and contributing within fast-moving, rapidly evolving engineering environments , driving cross-team processes, and elevating technical excellence across organizational boundaries.
• 12+ years of experience architecting, delivering, and operating large-scale, high-performance, fault-tolerant distributed systems in production.

Leadership Competencies

• Performance, Drive, and Execution
  Holds self and others accountable for delivering measurable value. Creates a performance-driven culture rooted in data, engineering rigor, and customer impact. Ensures clarity around expectations and drives high-quality execution at scale.
• Collaboration
  Builds strong cross-functional partnerships and aligns diverse stakeholders behind shared technical outcomes. Advocates for inclusive engineering culture and elevates organizational effectiveness through transparent communication and joint ownership.
• Communicating for Impact
  Articulates complex technical strategies in a way that inspires action and drives alignment. Communicates organizational priorities with clarity and conviction, ensuring broad understanding and support of strategic initiatives.
• Inspirational Leadership
  Models authentic, mission-driven leadership. Empowers and develops engineering talent at all levels and builds teams capable of delivering transformative outcomes. Establishes a culture of innovation, trust, and accountability.
• Competitive Edge
  Anticipates market shifts, emerging technologies, and evolving customer expectations—especially in AI-driven and cloud-native domains. Creates strategic options that strengthen long-term business value and promote continuous innovation.
• Change Agility
  Leads and champions change across organizational boundaries. Helps teams embrace evolving technologies—such as AI agents, agentic workflows, and autonomous systems—while fostering a culture of creativity, experimentation, and thoughtful risk-taking.
• Mastering Complexity
  Navigates and resolves ambiguous, cross-functional technical challenges. Shapes strategic decisions that simplify complex system dynamics and reinforce scalable, sustainable architectures. Cultivates ownership and accountability for problem-solving across the organization.