Senior Application Software Engineer

Oracle Oracle · Enterprise · United States

Senior Application Software Engineer role focused on building and operating scalable software systems for healthcare applications and operational workflows. Responsibilities include full software development lifecycle, API development, automation, and production support within a cloud-native environment. Experience with AI-assisted development tools is a plus.

What you'd actually do

  1. Design, develop, test, and maintain application software, backend services, APIs, and automation aligned to established architecture and secure coding standards.
  2. Drive features and quality improvements that improve reliability, performance, maintainability, observability, or operational efficiency.
  3. Troubleshoot and resolve moderately complex issues across APIs, service integrations, application layers, logs, metrics, configuration, and cloud services.
  4. Translate moderately ambiguous requirements into scalable designs, implementation plans, API contracts, tests, and technical documentation.
  5. Participate in and lead code reviews, improve CI/CD practices, define unit and integration test strategies, and support vulnerability remediation.

Skills

Required

  • 4+ years of software development experience with a bachelor’s degree in a related technical field, or equivalent experience.
  • Strong application or backend development experience in Java, Go, Python, JavaScript, C/C++, SQL, or similar programming and scripting languages.
  • Experience designing, developing, testing, and maintaining REST APIs, application services, automation, workflow-based systems, or distributed systems.
  • Working knowledge of software engineering practices across design, coding, testing, debugging, code review, documentation, deployment, and maintenance.
  • Familiarity with cloud platforms and infrastructure such as OCI, AWS, Azure, or Google Cloud, including databases, persistence layers, service-to-service communication, observability, and secure development practices.
  • Ability to troubleshoot standard and non-standard technical issues using logs, metrics, API behavior, configuration data, telemetry, and multiple information sources.
  • Strong communication, collaboration, planning, and ownership skills, with the ability to work across teams and independently manage assigned deliverables.

Nice to have

  • Experience using AI-assisted development tools or AI-based productivity tools to improve software development, testing, debugging, documentation, automation, or operational workflows.