Architect
Oracle
Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Job Description
Job Description: Architect at Oracle
As an Architect at Oracle, you will leverage your exceptional technical, research, and analytical skills to drive innovation for Substrate and serve as a force multiplier for the next generation of engineers. You will envision, secure executive investment, and lead the software design and development for major new components of Oracle Health. This role demands an outstanding builder and technical leader with a proven industry track record in guiding large cloud-scale projects, making deep architectural changes to delight our customers.
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
This role requires exceptional communication skills, technical fearlessness, and strong product instinct. You should be able to absorb business context, shape technical strategy, and build high-performing engineering cultures, demonstrating sound judgment grounded in deep critical thinking. You will possess deep expertise in full-stack architecture, including the design and deployment of scalable, cloud-native distributed systems supporting mission-critical workloads. A strong knowledge of data structures, algorithms, operating systems, distributed systems fundamentals, and modern AI-driven architectural patterns is essential. Expert-level programming capability in Java, Go, and Python, with hands-on experience building large, complex backend systems, APIs, microservices, and AI-integrated workflows is critical. 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, is required. Deep understanding of databases, NoSQL systems, distributed storage, and persistence technologies, along with experience designing resilient, multi-tenant environments across virtualized and containerized infrastructures, is expected. Expert knowledge of cloud infrastructure concepts, modern CI/CD automation, observability systems, and reliable deployment mechanisms for high-scale, high-availability services is necessary. You should be comfortable leading and contributing within fast-moving, rapidly evolving engineering environments, driving cross-team processes, and elevating technical excellence across organizational boundaries. A minimum of 12+ years of experience architecting, delivering, and operating large-scale, high-performance, fault-tolerant distributed systems in production is a prerequisite.
Leadership Competencies
- Performance, Drive, and Execution: Holds self and others accountable, creates data-rooted, performance-driven culture.
- Collaboration: Builds strong cross-functional partnerships, aligns stakeholders, advocates for inclusive culture.
- Communicating for Impact: Articulates complex technical strategies, inspires action, drives alignment.
- Inspirational Leadership: Models authentic leadership, empowers talent, builds innovative teams.
- Competitive Edge: Anticipates market shifts, emerging technologies, strengthens business value.
- Change Agility: Leads and champions change, embraces evolving technologies like AI agents.
- Mastering Complexity: Navigates ambiguous challenges, simplifies system dynamics, cultivates ownership.
Key skills/competency
- Cloud Architecture
- Distributed Systems
- AI/ML Integration
- Java, Go, Python
- Microservices
- Scalable Solutions
- CI/CD Automation
- NoSQL Databases
- Technical Leadership
- Product Strategy
How to Get Hired at Oracle
- Research Oracle's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand Oracle's commitment to cloud and AI innovation.
- Tailor your resume: Customize your resume to highlight experience in cloud architecture, distributed systems, AI/ML, and specific programming languages like Java, Go, or Python, aligning with the Architect role requirements at Oracle.
- Showcase technical leadership: Prepare to discuss your 12+ years of experience in architecting and operating large-scale, fault-tolerant systems, emphasizing your ability to mentor and drive technical consensus.
- Demonstrate problem-solving: Be ready to articulate how you've mastered complexity and championed change, particularly with emerging technologies like AI agents and agentic workflows, a key focus for Oracle.
- Prepare for behavioral questions: Practice answering questions that showcase your performance, drive, collaboration, and communication skills, aligning with Oracle's leadership competencies.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background