Senior Manager, Application Software Engineering

Oracle Health Platform Engineering builds and operates shared platform services that power secure, reliable product delivery at scale. We are an AI-first engineering organization, using AI-assisted approaches to accelerate design and delivery while maintaining high standards for security, correctness, and operability.

We are seeking a Senior Manager to lead a team of software engineers working across platform services, workflow automation, observability, quality engineering, backend development, and AI-assisted tooling. This leader will own delivery for a portfolio of technical work, help shape engineering standards, and build a team culture focused on execution, operational excellence, and customer impact.

• Lead a team of engineers delivering meaningful platform capabilities with clear reliability, security, performance, and delivery outcomes. 

• Own end-to-end delivery of backend services, platform components, automation workflows, and internal tooling. 

• Make sound technical tradeoffs across scalability, maintainability, supportability, and speed of delivery. 

• Provide direction on requirements, architecture, implementation, testing, and release readiness. 

• Lead code and functional reviews, raise engineering quality standards, and improve test coverage, observability, and deployment practices. 

• Guide debugging, troubleshooting, and performance optimization across multiple services or components. 

• Partner with architects and senior engineers to define reusable platform patterns, APIs, and service boundaries. 

• Ensure solutions follow documented architecture, security, and engineering standards and reduce manual work. 

• Collaborate with product, operations, security, and infrastructure teams to resolve issues, prioritize defects, and drive root-cause actions. 

• Recruit, coach, and develop engineers while building a culture of accountability, learning, inclusion, and customer focus.

AI-First Leadership Expectations

• Demonstrate a consistent ability to apply AI-assisted approaches to improve team delivery, quality, and operational effectiveness across planning, design, execution, and troubleshooting.
• Establish team-level standards for effective AI usage, including expectations for test generation, code review of AI-assisted changes, documentation quality, and responsible use in day-to-day engineering work.
• Evaluate AI-assisted solutions through an enterprise lens, ensuring security, privacy, IP, compliance, and approved-tooling requirements are consistently followed.
• Use AI to improve team productivity and operational excellence by reducing repetitive work, strengthening incident triage and analysis, and helping engineers focus on higher-value technical decisions and delivery.

Core Responsibilities

• Planning & Execution: Manage multiple medium- to large-scale initiatives, ensure timelines and deliverables are tracked, and adjust plans when priorities or resources change.

• Collaboration & Partnership: Drive cross-functional alignment across engineering, product, operations, security, and other stakeholders; coach the team to build strong working relationships.

• Problem Solving: Provide direction on complex technical and operational issues and help the team resolve ambiguous problems with sound engineering judgment.

• Continuous Learning: Promote skill growth, knowledge sharing, and adoption of modern practices, including AI-assisted engineering approaches where appropriate.

• Continuous Improvement: Identify and implement process improvements that increase efficiency, quality, and reliability across the team’s work.

• Performance and Development: Provide coaching, feedback, and development planning while supporting talent decisions and succession planning.

Qualifications

• BS in Computer Science or related field (or equivalent practical experience).

• 10+ years of professional software engineering experience, with experience leading teams or major technical initiatives.

• Proven ability to lead engineers delivering backend services, platform capabilities, automation, and operational tooling.

• Strong system design skills, including data modeling, API design, distributed systems, and performance/reliability tradeoffs.

• Demonstrated experience partnering across functions to deliver results in ambiguous and fast-moving environments.

Preferred Qualifications

• Experience leading teams working on platform engineering, infrastruc