Design Manager

📍 Job Overview

Job Title: Design Manager

Company: Oracle

Location: United States

Job Type: Full time

Category: Data Center Design & Engineering Management

Date Posted: 2026-02-26T17:53:18

Experience Level: 5-10 years

Remote Status: On-site

🚀 Role Summary

• Manage the end-to-end design process for assigned portions of Oracle Cloud Infrastructure (OCI) data center projects, encompassing both new builds and retrofits.

• Ensure seamless technical coordination and design integration across a global portfolio of hyperscale and AI-focused data centers.

• Uphold and enforce OCI's program standards for design packages, ensuring alignment with operational efficiency and project objectives.

• Collaborate closely with internal engineering, construction, and operations teams, as well as external consultants and development partners, to drive project success.

• Contribute to critical early-stage due diligence activities for new data center sites and facility upgrades.

📝 Enhancement Note: This role is positioned within the Oracle Cloud Infrastructure (OCI) Data Center Design Management team, indicating a focus on the physical infrastructure that supports Oracle's cloud services. The emphasis on "hyperscale and AI workloads" suggests a need for expertise in designing facilities capable of handling massive computational power and advanced technological requirements. The "United States" location, without a specific city, implies potential flexibility or a need for on-site presence across various Oracle data center locations within the US, or it could be a placeholder for roles that may have broader geographical responsibilities within the US. The experience level of 5-10 years points to a mid-to-senior level position requiring demonstrated expertise and project management capabilities.

📈 Primary Responsibilities

• Oversee and manage assigned design packages throughout the project lifecycle, from conceptualization to construction documentation, for new data center builds and existing facility retrofits.

• Conduct thorough design reviews of architectural, structural, MEP (Mechanical, Electrical, Plumbing), and low-voltage systems to ensure compliance with OCI's rigorous program standards and operational requirements.

• Facilitate effective technical coordination meetings between various engineering disciplines, consultants, internal stakeholders, and external partners to resolve design conflicts and ensure cohesive integration.

• Support the development and refinement of design standards, best practices, and process improvements for data center infrastructure to enhance scalability, reliability, and efficiency.

• Assist in the early-stage due diligence process, including site assessments, feasibility studies, and preliminary design concepts for potential new data center locations.

• Review and provide technical feedback on design documentation, including drawings, specifications, reports, and calculations, ensuring adherence to project scope, budget, and schedule.

• Collaborate with construction and operations teams to ensure designs are constructible, maintainable, and meet the long-term operational needs of the data center.

• Manage consultant performance and deliverables, ensuring timely submission of high-quality design packages that meet all contractual obligations.

• Track and report on the progress of design activities, identifying potential risks and implementing mitigation strategies to keep projects on schedule and within budget parameters.

• Support the integration of advanced technologies and innovative solutions within data center designs to accommodate evolving hyperscale and AI workload demands.

📝 Enhancement Note: The core responsibilities highlight a hands-on management role within the design lifecycle of critical data center infrastructure. The emphasis on MEP systems, design reviews against program standards, and coordination with construction/operations teams suggests a need for a candidate with a strong engineering foundation and practical project management experience in large-scale, complex facilities. The mention of "hyperscale and AI workloads" is a significant differentiator, implying that candidates should be familiar with the unique design considerations for such environments, including power density, cooling demands, and network infrastructure.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Engineering (Mechanical, Electrical, Civil, or related field), Architecture, or a closely related technical discipline is typically required.

Experience:

• 5-10 years of progressive experience in design management, engineering, or architecture, with a significant portion focused on data center or mission-critical facility projects.

Required Skills:

• Data Center Design Principles: Deep understanding of data center infrastructure, including power distribution, cooling systems (HVAC), fire suppression, security, and networking.

• MEP Systems Expertise: Strong technical knowledge of Mechanical, Electrical, and Plumbing systems, including their design, integration, and operational characteristics within a data center context.

• Design Management & Coordination: Proven ability to manage multiple design packages simultaneously, coordinate complex engineering disciplines, and ensure seamless integration of design elements.

• Technical Review & Analysis: Proficiency in reviewing technical documentation (drawings, specifications, reports) and performing due diligence to identify design flaws, compliance issues, and areas for improvement.

• Project Execution & Delivery: Experience in managing design project timelines, budgets, and deliverables from inception through to construction handover.

• Stakeholder Management: Ability to effectively communicate and collaborate with internal teams (engineering, construction, operations), external consultants, vendors, and development partners.

• Problem-Solving: Strong analytical and problem-solving skills to address technical challenges and design conflicts efficiently.

• Proficiency in English: Excellent written and verbal communication skills for technical documentation, presentations, and cross-functional collaboration.

Preferred Skills:

• Experience with hyperscale or AI-specific data center design considerations (e.g., high-density power, advanced cooling solutions, specialized networking).

• Familiarity with data center design software and modeling tools (e.g., BIM, CAD, CFD).

• Knowledge of data center commissioning processes and operational procedures.

• Experience managing design for global infrastructure projects.

• Understanding of sustainability initiatives and energy efficiency in data center design.

📝 Enhancement Note: The required skills are heavily weighted towards technical expertise in data center design, particularly MEP systems, and the ability to manage the complex coordination required for such projects. The inclusion of "hyperscale and AI workloads" as a preferred skill is a crucial differentiator, signaling that candidates with experience in these cutting-edge environments will be highly competitive. The emphasis on English proficiency is standard for global organizations like Oracle.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Data Center Design Case Studies: Showcase at least 2-3 detailed case studies of data center or mission-critical facility projects managed. Each case study should clearly articulate the project's scope, your specific role, the design challenges encountered, the solutions implemented, and the ultimate outcomes.

• MEP System Design Examples: Include examples of technical drawings, calculations, or design specifications related to MEP systems that demonstrate your understanding of power distribution, cooling strategies, and redundancy in critical environments.

• Design Review Documentation: Present examples of design review reports or feedback provided on architectural, structural, or MEP designs, highlighting your ability to identify potential issues and recommend improvements.

• Project Coordination Artifacts: Showcase evidence of your ability to coordinate complex design efforts, such as meeting minutes from cross-functional design coordination meetings, RFI logs, or change order documentation that impacted design.

• Operational Efficiency Improvements: If possible, include examples where your design input directly contributed to improved operational efficiency, maintainability, or energy savings in a facility. Quantify the impact with metrics.

Process Documentation:

• Workflow Design & Optimization: Demonstrate your understanding of standard data center design workflows, from initial concept and feasibility through to detailed engineering, construction documentation, and handover. Highlight any processes you have helped to optimize for efficiency or quality.

• System Implementation Standards: Provide examples of how you have ensured that designs adhere to established program standards, codes, and best practices, particularly for power, cooling, and safety systems.

• Measurement & Performance Analysis: Illustrate how you have used performance metrics or data to inform design decisions or validate design outcomes, particularly concerning energy usage, cooling effectiveness, or system uptime.

📝 Enhancement Note: For a Design Manager role in data centers, a strong portfolio is essential. It needs to go beyond simply listing projects; it must demonstrate the candidate's technical depth in MEP systems, their project management capabilities in complex design environments, and their understanding of operational efficiency and adherence to standards. The focus should be on tangible results and problem-solving.

💵 Compensation & Benefits

Salary Range:

• Estimated Range: $97,500 - $199,500 USD per year.

• Explanation: This range is based on Oracle's typical compensation structure for Design Managers with 5-10 years of experience in the United States, considering the specialized nature of data center design and the critical importance of OCI's infrastructure. The lower end reflects entry into the experienced range, while the higher end accounts for extensive experience, specialized skills in hyperscale/AI, and potential for exceptional performance.

Benefits:

• Comprehensive Health Coverage: Medical, Dental, and Vision Insurance for employees and eligible dependents.

• Disability & Life Insurance: Short-Term Disability, Long-Term Disability, Life Insurance, and Supplemental Life Insurance to provide financial security.

• Retirement Savings: 401(k) Savings and Investment Plan with a company match, offering a strong incentive for long-term financial planning.

• Flexible Spending Accounts: Health Care Flexible Spending Account and Dependent Care Flexible Spending Account for pre-tax savings on eligible expenses.

• Paid Time Off: Generous Paid Time Off (PTO), Paid Holidays, and Paid Sick Leave to support work-life balance and employee well-being.

• Family Support: Paid Parental Leave and Adoption Assistance to support employees during significant life events.

• Employee Stock Purchase Plan (ESPP): Opportunity to purchase Oracle stock at a discounted rate.

• Financial & Legal Services: Access to Financial Planning resources and Group Legal services.

• Commuter & Parking Benefits: Pre-tax Commuter Benefits and Parking Benefits to ease daily commutes.

Working Hours:

• Standard full-time work week, typically 40 hours per week.

• Flexibility may be available, but the on-site nature of the role and the need for collaboration with global teams might necessitate occasional work outside standard hours to accommodate different time zones or project deadlines.

📝 Enhancement Note: Oracle offers a robust benefits package, typical for large technology companies, which is competitive within the industry. The salary range provided is an estimate based on the AI-generated data and general market knowledge for this role type and experience level in the US. Specific compensation will depend on the candidate's exact experience, skills, and location within the US. The on-site requirement necessitates a clear understanding of the expected working hours and potential need for flexibility.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Cloud Computing, Software, Hardware)

Company Size: Oracle is a very large enterprise, employing over 130,000 people globally. This means the Design Management team operates within a well-established corporate structure with extensive resources and processes.

Founded: 1977. Oracle has a long history of innovation in database technology and has evolved significantly into a major player in cloud computing, enterprise software, and hardware.

Team Structure:

• The OCI Data Center Design Management team is a specialized group of technical experts responsible for the physical infrastructure of Oracle's cloud services.

• This team likely comprises architects, various engineering discipline leads (MEP, structural, electrical), and project managers, all working collaboratively.

• Reporting structure would likely involve a Director or VP of Data Center Design, with Design Managers reporting to senior leads or directors overseeing specific regions or project types.

Methodology:

• Data Analysis & Insights: The team relies heavily on data to inform design decisions, including power consumption, cooling efficiency, utilization rates, and seismic/environmental data for site selection. Performance metrics from existing data centers are used to refine future designs.

• Workflow Planning & Optimization: Standardized design processes and workflows are likely in place to ensure consistency, quality, and efficiency across a global portfolio. Continuous improvement initiatives focus on streamlining these processes.

• Automation & Efficiency Practices: While this role is design-focused, there's an expectation of leveraging technology and tools to automate repetitive tasks, improve design accuracy, and enhance overall project delivery efficiency.

Company Website: https://www.oracle.com/

📝 Enhancement Note: Oracle's culture is generally characterized by a strong focus on innovation, performance, and customer success. For the OCI Design Management team, this translates to a high-performance environment where technical excellence, efficiency, and adherence to rigorous standards are critical. The sheer scale of Oracle implies a structured approach to project management and design, with established protocols and a focus on scalable solutions.

📈 Career & Growth Analysis

Operations Career Level: This Design Manager role sits at a mid-to-senior level within the engineering and infrastructure domain. It requires a blend of technical expertise in data center design (specifically MEP and hyperscale/AI considerations) and project management skills to oversee the design execution for significant infrastructure projects. The role involves managing assigned projects and influencing design outcomes, rather than direct people management, though leadership of cross-functional teams is expected.

Reporting Structure: The Design Manager will likely report to a senior leader within the OCI Data Center Design organization, such as a Director of Design or Senior Manager overseeing a portfolio of projects or a specific geographical region. They will collaborate extensively with various internal departments, including OCI Engineering, Construction, Operations, Procurement, and potentially Legal and Finance teams.

Operations Impact: The Design Manager's work directly impacts the scalability, reliability, efficiency, and cost-effectiveness of Oracle's global cloud infrastructure. Successful design management ensures that OCI can support the demanding requirements of hyperscale and AI workloads, enabling Oracle to deliver its cloud services competitively and meet customer demand. Their efforts contribute to the foundation upon which Oracle's entire cloud business operates.

Growth Opportunities:

• Senior Design Management/Leadership: Progression to a Senior Design Manager role, overseeing larger, more complex, or multiple concurrent projects, or leading a team of design managers.

• Specialization: Deepening expertise in specific areas like advanced cooling technologies, power systems for AI/ML, or sustainable data center design, becoming a subject matter expert.

• Transition to Program Management: Moving into broader program management roles overseeing entire data center build-out initiatives, including design, construction, and commissioning phases.

• Cross-Functional Roles: Opportunities to move into related roles within OCI Construction, Operations, or Infrastructure Strategy, leveraging their deep understanding of the data center lifecycle.

• Technical Consulting: Becoming a principal technical consultant or architect within OCI, advising on strategic infrastructure decisions.

📝 Enhancement Note: This role offers a clear path for growth within a rapidly expanding and critical area of Oracle's business. The emphasis on hyperscale and AI workloads positions individuals for future opportunities as these technologies continue to evolve. The combination of technical and project management skills developed here is highly transferable within the data center and cloud infrastructure industry.

🌐 Work Environment

Office Type: This is an on-site role, meaning the Design Manager will be expected to work from a physical Oracle office location. This environment is designed to foster collaboration and facilitate direct interaction with engineering, construction, and operations teams that are also likely co-located or frequently visit the office.

Office Location(s): While the job posting lists "United States" broadly, Oracle has numerous offices and data center facilities across the US. The specific location will likely be tied to a major OCI hub or a region with significant data center development activity. Candidates should expect to potentially work from a corporate office or a dedicated engineering/design center.

Workspace Context:

• Collaborative Environment: The workspace will likely support team-based work, with meeting rooms, project war rooms, and open areas designed for brainstorming and problem-solving sessions.

• Operations Tools and Technology: Access to high-performance computing resources, advanced design software (CAD, BIM, simulation tools), and communication platforms will be standard.

• Operations Team Interaction: Frequent opportunities for direct interaction with fellow design managers, architects, engineers, construction project managers, and operations personnel, fostering a dynamic and integrated work environment.

Work Schedule: A standard 40-hour work week is expected. However, given the nature of global data center projects, there may be a need for flexibility to accommodate critical deadlines, international stakeholder meetings across different time zones, or urgent site-related issues. The on-site requirement ensures immediate availability for critical on-site needs or rapid response to issues.

📝 Enhancement Note: The on-site nature of this role is critical. It implies a need for active participation in physical site reviews, in-person design sessions, and direct collaboration with teams that may not be fully remote. Candidates should be prepared for a structured office environment that prioritizes face-to-face interaction for complex project delivery.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A recruiter or hiring manager will review your resume and application to assess your qualifications against the core requirements, focusing on data center design experience and MEP systems knowledge.

2. Technical Interview(s): Expect one or more interviews with senior engineers, architects, or design leads. These will delve into your technical expertise in data center design, MEP systems, power, cooling, and your approach to design challenges. Be prepared to discuss specific projects and your contributions.

3. Portfolio Review Session: A dedicated session where you will present selected case studies from your portfolio. This is a critical stage to demonstrate your project management skills, technical problem-solving abilities, and understanding of operational efficiency.

4. Manager/Team Fit Interview: An interview with the hiring manager and potentially other team members to assess your cultural fit, collaboration style, communication skills, and leadership potential within the OCI Design Management team.

5. Final Interview (Optional): Potentially an interview with a more senior leader or executive to discuss strategic alignment and overall fit for the organization.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 of your most relevant and impactful data center projects.

Focus on those that showcase your experience with MEP systems, hyperscale/AI considerations, and successful design management.

• Structure Your Case Studies: For each project, clearly outline:

  • Project Overview: Size, type (new build/retrofit), location, key stakeholders.
  • Your Role & Responsibilities: Clearly define your scope of work and influence.
  • Design Challenges: Identify specific technical or project management hurdles.
  • Solutions & Strategies: Detail the design decisions, technical approaches, and coordination efforts you led.
  • Outcomes & Impact: Quantify results – e.g., improved efficiency (%), cost savings ($), schedule adherence, capacity delivered (MW/MW), critical issues avoided.

• Highlight MEP Expertise: Be ready to discuss the specifics of power distribution (redundancy, capacity), cooling systems (types, efficiency, density), and plumbing/fire suppression.

• Showcase Coordination Skills: Use examples to illustrate how you managed communication and resolved conflicts between diverse engineering disciplines and external partners.

• Prepare for Q&A: Anticipate questions about your design philosophy, how you handle design changes, your understanding of OCI's standards (if you can research them), and how you ensure operational readiness.

Challenge Preparation:

• Design Scenario: You might be given a hypothetical data center design problem (e.g., how to cool a high-density rack, how to provide redundant power for a specific load) and asked to outline your approach, considerations, and potential solutions. Focus on your thought process, systematic approach, and understanding of trade-offs.

• Process Improvement Task: You may be asked to identify inefficiencies in a typical design workflow and propose improvements, focusing on speed, quality, or cost.

• Stakeholder Communication Exercise: You might be asked to explain a complex technical design issue to a non-technical stakeholder (e.g., a finance executive) or how you would manage a disagreement between engineering and construction teams.

📝 Enhancement Note: The interview process for this role will heavily scrutinize both technical depth in data center design and the ability to manage complex projects. The portfolio review is a crucial opportunity to visually and verbally demonstrate your capabilities. Candidates should be prepared to articulate their thought process, problem-solving skills, and the tangible impact of their design contributions.

🛠 Tools & Technology Stack

Primary Tools:

• CAD Software: AutoCAD, Revit, or similar for reviewing and understanding technical drawings.

• BIM (Building Information Modeling) Software: Familiarity with Revit or Navisworks for integrated design reviews and clash detection, especially for complex MEP systems.

• Project Management Software: Microsoft Project, Asana, Jira, or Oracle's own project management tools for tracking project timelines, tasks, and deliverables.

• Collaboration Platforms: Microsoft Teams, Slack, or Oracle's internal communication tools for team coordination and stakeholder communication.

• Data Center Design Tools: Potentially specialized software for power load calculations, cooling simulations (CFD), or energy modeling.

Analytics & Reporting:

• Spreadsheet Software: Microsoft Excel for data analysis, financial tracking, and report generation.

• Business Intelligence Tools: Tableau, Power BI, or Oracle Analytics Cloud for visualizing project status, performance metrics, and operational data.

• Reporting Dashboards: Experience creating or interpreting dashboards that track design progress, budget adherence, and key performance indicators (KPIs) for data center projects.

CRM & Automation:

• CRM (Customer Relationship Management): While not a direct sales role, familiarity with CRM principles for tracking consultant performance or vendor interactions might be beneficial. Oracle's internal systems would be relevant.

• Automation Tools: Awareness of how automation can be applied within the design or construction documentation process to improve efficiency and reduce errors.

📝 Enhancement Note: Proficiency with standard CAD/BIM software is a baseline requirement for reviewing design documents. The role also demands strong project management and collaboration tool skills. Familiarity with data center-specific simulation or analysis tools, while potentially preferred, would be a significant advantage, especially for hyperscale and AI workloads.

👥 Team Culture & Values

Operations Values:

• Technical Excellence: A commitment to high-quality, robust, and efficient engineering and design solutions that meet the rigorous demands of hyperscale cloud infrastructure.

• Collaboration & Teamwork: Emphasis on working effectively with diverse internal and external teams, fostering open communication, and collective problem-solving.

• Innovation & Continuous Improvement: Encouraging the adoption of new technologies and methodologies to enhance data center performance, sustainability, and operational efficiency.

• Accountability & Ownership: Taking personal responsibility for design deliverables, project timelines, and ensuring that designs meet all program standards and operational objectives.

• Data-Driven Decision Making: Utilizing data and performance metrics to inform design choices, validate solutions, and measure the success of implemented designs.

Collaboration Style:

• Cross-Functional Integration: Expect a highly integrated approach, working closely with engineers from various disciplines, construction managers, operations specialists, and procurement teams.

• Process Review & Feedback: A culture that encourages constructive feedback on designs and processes to drive continuous improvement and ensure best practices are shared and adopted.

• Knowledge Sharing: Opportunities to share expertise and learn from colleagues through formal training, informal discussions, and project debriefs, particularly concerning the unique demands of AI and hyperscale computing.

📝 Enhancement Note: Oracle's culture often emphasizes high performance and results. For the OCI Design Management team, this translates to a demanding yet rewarding environment where technical acumen, collaborative spirit, and a proactive approach to problem-solving are highly valued. The focus on data centers means that reliability, scalability, and efficiency are core tenets of how the team operates and what they value.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving Technology: Keeping pace with the accelerating demands of hyperscale and AI workloads, which require constant innovation in power, cooling, and network infrastructure design.

• Global Standardization vs. Local Needs: Balancing the need for standardized design processes and components across a global portfolio with the unique requirements of different geographical locations (e.g., seismic activity, climate, local regulations).

• Managing Complex Stakeholder Expectations: Aligning the needs and priorities of various internal teams (engineering, operations, security) and external partners, often with competing interests.

• On-Site Presence & Travel: The on-site requirement may necessitate travel to various data center locations for reviews, meetings, or site visits, requiring adaptability and time management.

• Tight Project Timelines: Delivering high-quality designs within aggressive project schedules characteristic of hyperscale data center development.

Learning & Development Opportunities:

• Advanced Data Center Design: Opportunities to gain deep expertise in emerging data center technologies, such as liquid cooling, advanced power delivery systems for AI, and energy-efficient designs.

• Industry Conferences & Certifications: Support for attending industry events (e.g., DCD, DatacenterDynamics) and pursuing relevant certifications (e.g., Certified Data Center Specialist, professional engineering licenses).

• Mentorship Programs: Access to senior leaders and subject matter experts within Oracle's vast engineering and infrastructure organizations for guidance and career development.

• Leadership Development: Training and opportunities to develop leadership skills, manage cross-functional project teams, and potentially transition into people management roles.

📝 Enhancement Note: The challenges in this role are directly tied to the cutting-edge nature of hyperscale and AI data centers. Overcoming these requires continuous learning and adaptation. The growth opportunities are significant, positioning individuals for leadership roles in a critical and expanding sector of the technology industry.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex MEP design challenge you faced in a data center project and how you approached its resolution. What was the outcome?" (Focus on technical depth, problem-solving, and quantifiable results.)

• "How do you ensure that design packages meet program standards and support operational efficiency in a hyperscale environment?" (Highlight your understanding of OCI's likely focus on scalability, reliability, and maintainability.)

• "Walk me through your process for coordinating design efforts between multiple engineering disciplines (e.g., electrical, mechanical, structural) and external consultants." (Emphasize your communication, conflict resolution, and workflow management skills.)

Company & Culture Questions:

• "What do you know about Oracle Cloud Infrastructure (OCI) and its role in the cloud market, particularly concerning hyperscale and AI workloads?" (Research OCI's offerings, recent news, and its competitive positioning.)

• "How would you contribute to Oracle's culture of innovation and high performance within the Data Center Design team?" (Align your personal values with Oracle's stated values and the demands of the role.)

Portfolio Presentation Strategy:

• "STAR" Method for Case Studies: For each project, structure your presentation using the Situation, Task, Action, Result framework. This provides a clear narrative of your contributions and their impact.

• Visual Aids: Use high-level diagrams, flowcharts, or simplified schematics (if appropriate and permissible) to illustrate key design concepts or coordination processes. Avoid sharing proprietary information.

• Quantify Impact: Whenever possible, use numbers and metrics (e.g., MW of power delivered, cooling efficiency improvement percentage, cost savings) to demonstrate the tangible value of your work.

• Focus on Your Role: Clearly articulate your specific contributions, decisions, and leadership, rather than just describing the project generally.

• Connect to OCI: Tailor your examples to highlight aspects relevant to OCI's needs, such as scalability, efficiency, and supporting advanced workloads.

📝 Enhancement Note: Preparation should focus on demonstrating technical expertise, project management capabilities, and an understanding of the strategic importance of data center design for a cloud provider like Oracle. Candidates should be ready to articulate their thought process and the business impact of their design decisions.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Oracle careers portal via the provided URL.

• Operations Portfolio Customization: Prepare your portfolio by selecting 2-3 key data center design projects that best showcase your expertise in MEP systems, design management, and handling complex infrastructure requirements. Tailor the descriptions to highlight your contributions to operational efficiency and adherence to program standards.

• Resume Optimization: Ensure your resume clearly articulates your 5-10 years of relevant experience, with a strong emphasis on data center design, MEP systems, project coordination, and any experience with hyperscale or AI workloads. Use keywords from the job description and industry best practices.

• Operations Interview Preparation: Practice answering behavioral and technical questions using the STAR method. Be ready to present your portfolio case studies concisely, focusing on quantifiable outcomes and your specific role. Research Oracle and OCI to demonstrate your understanding of their business and technical needs.

• Company Research: Familiarize yourself with Oracle's cloud offerings (OCI), its market position, and any publicly available information on its data center strategy or infrastructure standards. Understand the company's commitment to innovation and performance.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.