Senior Manager, Software Engineering

Senior Manager, Oracle Health Platform Engineering

Oracle Health Platform Engineering builds and operates shared platform services that power secure, reliable product delivery  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, infrastructure, database, workflow automation, observability, or AI-assisted software delivery.
• Background in cloud-native development and operations (OCI strongly preferred; AWS/Azure/GCP acceptable).
• Understanding of IAM, authorization, secure service-to-service communication, and secure software delivery practices.
• Experience building or supporting internal developer tooling, test automation, release tooling, or operational dashboards.
• Familiarity with Java, Python, Go, C#, or similar languages used in enterprise software environments.