Senior Application Software Engineer

Oracle Oracle · Enterprise · United States

Seeking a Senior Application Software Engineer to work on platform engineering, cloud infrastructure, distributed systems, application development, integration services, and healthcare workflow solutions. The role involves designing, developing, and maintaining scalable software solutions and cloud-native services, with a focus on healthcare applications. The candidate will collaborate with various teams, contribute to automation, observability, security, and continuous delivery, and support modernization efforts leveraging AI-driven capabilities. Experience with cloud platforms, distributed systems, and enterprise software is required, with preferred qualifications including healthcare technology, AI/ML knowledge, and SaaS platform experience. The role is part of Oracle Health's investment in modernizing healthcare technology with AI-first experiences and intelligent automation.

What you'd actually do

  1. Design, develop, test, and maintain scalable software solutions and cloud-native services.
  2. Build and support healthcare applications, APIs, integrations, and platform capabilities.
  3. Develop reliable, secure, and highly available systems running on Oracle Cloud Infrastructure (OCI).
  4. Collaborate with product managers, architects, engineers, and operational teams to deliver customer-focused solutions.
  5. Participate in system design, code reviews, troubleshooting, performance optimization, and operational excellence initiatives.

Skills

Required

  • 3+ years of experience in software engineering, application development, platform engineering, or related technical roles
  • Bachelor's degree in Computer Science, Engineering, related field or equivalent years of relevant experience
  • Experience developing enterprise software applications or cloud platforms.
  • Strong programming and software design skills.
  • Experience with OCI, AWS, Azure, or Google Cloud.
  • Experience with distributed systems, APIs, and cloud technologies.
  • Knowledge of software development lifecycle and engineering best practices.

Nice to have

  • Experience with healthcare technology or regulated industries.
  • Familiarity with healthcare interoperability standards.
  • Experience building large-scale SaaS platforms.
  • Knowledge of AI, machine learning, or data engineering solutions.
  • Strong problem-solving and communication skills.

What the JD emphasized

  • healthcare workflow solutions
  • healthcare applications
  • healthcare providers, patients, payers, and public health organizations
  • healthcare technology or regulated industries
  • healthcare interoperability standards
  • Large-scale SaaS platforms
  • AI, machine learning, or data engineering solutions
  • healthcare interoperability standards (FHIR, HL7, SMART on FHIR)
  • Artificial Intelligence and Machine Learning platforms
  • Large-scale healthcare data management
  • AI-first healthcare experiences
  • Intelligent automation for clinicians and healthcare staff
  • Advanced interoperability and healthcare data exchange
  • Unified healthcare data platforms
  • Conversational and agentic AI capabilities
  • healthcare-specific cloud services
  • Large-scale modernization of healthcare systems
  • secure, scalable healthcare infrastructure