At Oracle Health Data Intelligence (HDI), we combine the strengths of the OCI, the leading cloud provider, and leading healthcare technology platforms from Oracle Health. Oracle HDI organization has a rare opportunity to play a critical part in impacting and disrupting the healthcare and life sciences industries by transforming how these industries and technology intersect. We are investing heavily in the life sciences and healthcare industries by using our deep technical expertise to focus on making a global impact and filling a societal need which will improve the health experience for all.

As Director of Software Engineering (M4), you will lead a high-impact team delivering deep research capabilities including conversational analytics, cohort building, and multi-step agent workflows that operate over governed RWD and customer BYOD assets with rigorous security, audit, and data lifecycle controls. You’ll define strategy, build and scale cloud services, integrate with platform components, and run “always-on” operations.

Values are Oracle’s foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of inquisitive, motivated, and a diverse group of people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you’ll belong and be encouraged.

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Lead the engineering build-out and operation of AI/ML powered capabilities for life sciences and provider industries. Own mission critical cloud-scale services that enable health and life sciences generate insights and take action in hours instead of weeks, built on Oracle Health and Life Sciences Analytics Intelligence Data Platform (HLS AIDP)

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

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

US: Hiring Range in USD from: $122,500 to $291,800 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 - M4

• Join a team at the ground level and help build scalable cloud-native services

• Hire, grow, and lead impactful, distributed engineering teams; foster a culture of reliability, ownership, and continuous improvement

• Work across the organization to define and provide inputs to the technology strategy, infrastructure and architecture vision that supports the successful execution of the product roadmap and business strategy

• Take ownership of defining and driving roadmaps for critical customer facing capabilities

• Be the point of contact for service critical issues and drive Corrective Actions/Preventive Actions

• Collaborate with product managers, architects, and technical leads to steer the team towards continuous delivery and improvement

• Directly and indirectly manage globally distributed engineering team that is fast growing

• Allocate resources, set priorities, and manage schedules for the team

Qualifications

- Bachelor’s degree in computer science, Engineering, or a related technical field or relevant experience.

- 12+ years in software engineering (2+ years building cloud services) with a track record of architecting and shipping complex, low-latency, scalable systems.

- 5+ years of senior engineering management leading multiple teams, including globally distributed teams, with strong hiring and org-building experience.

- Deep expertise in distributed systems, operating SaaS/managed services at scale with on-call and incident leadership.

- Proven experience running production operations with security, compliance, observability, and DR disciplines.

- Strong knowledge of large-scale compute, networking, and storage.

Preferred Qualifications

- MS in CS/EE or equivalent experience.

- Hands-on AI/ML platform experience: designing and operating LLM/agentic systems (planning, tool use, trace logging), retrieval/RAG over structured and unstructured data, vector indexing, prompt/trace governance, and evaluation pipelines

- Compliance-by-design in regulated environments: immutable audit trails, dataset/code lineage and versioning, zero data retention policies, governed exports, and point-in-time replay

- Cloud architecture experience and multi-cloud patterns for secure, scalable services

- Enterprise security expertise: SSO, role- and attribute-based access controls, network segmentation, encryption in transit/at rest, secure BYOD connectors, and tenancy isolation for customer data

- Healthcare/real-world data platform familiarity: EHR-derived datasets, governed catalogs/lineage, and integration patterns across platform teams

- Experience with heterogeneous databases, large-scale compute/storage, and streaming/batch processing; strong observability, SRE, and disaster recovery practices

- Proven success leading and scaling globally distributed engineering teams and partnering with Product and Applied Science on measurable AI/ML outcomes

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