Lead Principal Field Systems Engineer

Oracle Cloud Infrastructure is building the next generation of cloud and AI infrastructure at global scale. As demand for GPU capacity, cloud regions, and strategic infrastructure delivery continues to grow, OCI needs hands-on systems thinkers who can operate close to the field, understand where deployment execution is breaking down, and help turn recurring friction into durable improvements. The Field Systems Engineer is a senior individual contributor role focused on improving deployment readiness, commissioning, and production handoff across complex technical and operational environments. This person will partner closely with Delivery, Engineering, Networking, Data Center Operations, Construction, Supply Chain, Finance, and other cross-functional teams to establish ground truth, identify systemic misses, and close the loop so OCI is not solving the same deployment problems repeatedly. The ideal candidate does not necessarily need direct GPU or cloud infrastructure experience, but must bring strong field execution instincts, technical curiosity, operational discipline, and the ability to dive deep into ambiguous problems and drive practical, scalable solutions.

Disclaimer:

Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.


Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC5

• Partner with Delivery org as a hands-on technical and operational counterpart while Delivery continues to own end-to-end execution.

• Establish ground truth when readiness, commissioning, or handoff issues are unclear or not reflected in status reporting.

• Identify recurring deployment pain points across site readiness, hardware, networking, cabling, power/cooling, validation, commissioning, and operational handoff.

• Translate Delivery pain points into clear requirements, process fixes, escalation paths, or playbook updates for the right vertical owners.

• Build readiness gates, go/no-go criteria, validation mechanisms, and handoff standards that improve the path from planned capacity to production-ready capacity.

• Close the loop on recurring issues by driving systemic fixes back into process and preventing repeat problems across regions, metros, and programs.

• Convert field learnings into repeatable mechanisms, operating rhythms, dashboards, executive narratives, and deployment-readiness improvements.

• Travel to deployment sites and partner locations as needed.

• Turn ambiguity into structure in complex environments with unclear ownership and shifting priorities.

• Apply systems thinking across people, process, data, tools, technical dependencies, and organizational handoffs.

• Separate signal from noise and identify what requires escalation, intervention, or executive decision-making.

• Use data, field observations, and stakeholder input to clarify problems, test assumptions, and guide decisions.

• Communicate clearly with executive, technical, and field stakeholders without losing nuance or credibility.

• Influence cross-functional teams through facts, clarity, urgency, and trust rather than formal authority.

• Improve execution without adding unnecessary bureaucracy.

• Remain resilient in high-pressure delivery environments where decisions must be made with imperfect information.

• Travel approximately 25–50% based on deployment needs and business priorities.

• Delivery teams have stronger visibility into recurring pain points, systemic blockers, readiness gaps, and handoff risks that affect deployment execution.

• Critical GPU and cloud infrastructure initiatives have clearer readiness gates, go/no-go criteria, risk signals, ownership paths, and decision mechanisms.

• Deployment blockers are identified earlier, understood more accurately, and converted into durable process or playbook improvements.

• Field learnings are consistently translated into actionable requirements for Engineering, Networking, Construction, Operations, Supply Chain, tooling, or other vertical owners.

• Executive stakeholders have a clearer, more accurate view of deployment health, blocked capacity, commissioning risk, customer impact, and decisions required.

• Operational handoffs between planning, Delivery, Engineering, deployment teams, and site operations become cleaner, more accountable, and more repeatable.

• OCI improves deployment predictability, reduces avoidable slippage, and strengthens readiness for high-priority AI and cloud infrastructure programs.

• The mechanisms you build continue to create value beyond a single escalation, launch, region, customer commitment, or executive review cycle.

• 7+ years of experience in operational excellence, field engineering, deployment execution, technical program management, systems/process transformation, business operations, or similarly complex execution environments.

• Proven track record operating hands-on in ambiguous, high-tempo environments.

• Experience driving cross-functional initiatives across teams, stakeholders, vendors, customers, or partner organizations.

• Experience identifying systemic issues, building repeatable mechanisms, and improving measurable outcomes.

• Strong analytical capability using metrics, dashboards, spreadsheets, workflow tools, reporting systems, or other data sources.

• Strong written and verbal communication skills, including concise executive-level updates and recommendations.

• Ability to influence teams and senior stakeholders without direct authority.

• High ownership, practical problem-solving ability, and a track record of getting difficult things done.

• Bachelor’s degree in Engineering, Business, Operations, or a related field, or equivalent practical experience.

• Experience in hyperscale cloud, data center infrastructure, AI infrastructure, enterprise technology, telecommunications, semiconductor, manufacturing, aviation, energy, industrial projects, logistics, construction, or another complex technical delivery environment.

• Familiarity with infrastructure deployment, field engineering, site readiness, commissioning, validation, production handoff, or customer/site implementation.

• Understanding of physical infrastructure fundamentals, including power, cooling, rack deployment, cabling, site readiness, network readiness, and commissioning workflows.

• Experience with GPU/AI infrastructure delivery, high-density infrastructure, network fabric readiness, hardware deployment dependencies, or large-scale cloud capacity programs.

• Experience building readiness frameworks, go/no-go criteria, operating playbooks, deployment dashboards, executive reporting, or closed-loop process-improvement mechanisms.