Principal Application Software Engineer

Oracle Oracle · Enterprise · United States

This Principal Application Software Engineer role at Oracle Health Data Intelligence focuses on building and operating data processing and intelligence platforms for healthcare applications. The role involves participating in design discussions, implementing cloud services on OCI, and optimizing data processing pipelines. While the team's scope includes 'AI Agent Health capabilities' and 'modular AI-first architecture', the core responsibilities and qualifications are centered around traditional software engineering, distributed systems, and data processing, rather than direct AI/ML model development or research.

What you'd actually do

  1. Participate and contribute to design discussions to build distributed, scalable, and fault-tolerant software systems.
  2. Implement and build cloud services on top of the modern OCI infrastructure.
  3. Participate in the entire software lifecycle, from design to development, to quality assurance, and to production.
  4. Invest in the best engineering and operational practices upfront to ensure our software quality bar is high.
  5. Optimize data processing pipelines to improve throughput and latency.

Skills

Required

  • Bachelor's degree in computer science or related discipline
  • Experience with distributed data processing systems (e.g. Hadoop, Kafka)
  • Hands on experience writing code with modern procedural programming languages such as Java and Python
  • Good understanding of design concepts and ability to design software components in a distributed system
  • Effective communication of technical ideas verbally and in writing, including technical proposals, design specs, architecture diagrams, and presentations.
  • Ability to collaborate effectively with the team and other stakeholders.
  • 8+ years of relevant experience
  • Demonstrated competence as a technical lead of a non-trivial SaaS/IaaS project spanning multiple functional areas, involving up to 10 engineers.

Nice to have

  • Experience with production operations including deployment, monitoring, alerting, and troubleshooting issues when they arise.
  • Experience with containerized service development and operations.
  • Production experience with Cloud service providers (e.g. OCI, AWS, Azure).
  • Experience with partnering with managers and other stakeholders to define the technical culture and processes of SW engineering teams.
  • Experience with mentoring and growing junior engineers.

What the JD emphasized

  • 8+ years of relevant experience
  • Demonstrated competence as a technical lead of a non-trivial SaaS/IaaS project spanning multiple functional areas, involving up to 10 engineers.