Posted 14 days ago
Principal Application Software Engineer
AI Summary
Leads design, development, deployment and operation of scalable healthcare applications, APIs, integrations and cloud-native services on OCI, owning complex initiatives and guiding architecture and mentoring engineers.
About this role
We are seeking a Lead Software Engineer to contribute across our interoperability server, cloud infrastructure application development and healthcare workflow solutions. This role will engage with an international spectrum of teams and diverse technologies, providing opportunity to work throughout the software development lifecycle.
As an IC4 individual contributor, you will own complex technical initiatives, guide architectural decisions, and collaborate across teams to build secure, reliable solutions for healthcare customers.
Responsibilities
Key Responsibilities- Lead the design, development, testing, deployment, and operation of scalable healthcare applications, APIs, integrations, and cloud-native services.
- Own complex engineering initiatives from requirements through production, balancing customer needs, technical tradeoffs, and long-term maintainability.
- Design secure, resilient, and highly available distributed systems on OCI.
- Drive architectural and design decisions, identify technical risks, and establish implementation approaches across service boundaries.
- Collaborate with product managers, architects, engineers, and operational teams to translate business requirements into customer-focused solutions.
- Conduct design and code reviews, mentor engineers, and promote engineering standards that improve software quality and team effectiveness.
- Diagnose and resolve complex production issues, optimize performance, and improve system reliability and operational readiness.
- Strengthen automation, observability, security, infrastructure management, and continuous delivery practices.
- Advance platform modernization through cloud technologies, healthcare interoperability standards, and the thoughtful application of AI capabilities.
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 6+ years of relevant experience in software engineering, application development, or platform engineering.
- Strong programming skills in Java, C++, or a comparable language.
- Experience designing, developing, and operating enterprise applications or services on OCI, AWS, Azure, or Google Cloud.
- Strong understanding of distributed systems, API design, and cloud-native architectures.
- Demonstrated ability to independently deliver complex technical projects and make sound engineering decisions.
- Experience with the full software development lifecycle, including automated testing, code reviews, deployment, and production support.
- Strong problem-solving, communication, and cross-functional collaboration skills.
- Experience building healthcare technology solutions or software for regulated industries.
- Familiarity with one or more healthcare interoperability standards, including HL7, FHIR, C-CDA, or SMART on FHIR, and healthcare data exchange concepts.
- Experience developing, debugging, and operating large-scale SaaS platforms.
- Hands-on experience with OCI services, Kubernetes, containers, and infrastructure automation.
- Experience with REST APIs, event-driven architectures, and high-volume data processing.
- Experience improving service availability, performance, security, and observability in production environments.
- Experience providing technical leadership, mentoring engineers, and influencing decisions across teams.
- Familiarity with AI, machine learning, or data engineering solutions, particularly in healthcare workflows.
- Oracle Cloud Infrastructure (OCI)
- Cloud-native architectures, distributed systems, and microservices
- Kubernetes and container technologies
- REST APIs and event-driven systems
- CI/CD, DevOps tooling, and infrastructure automation
- Observability, monitoring, and service reliability
- Healthcare interoperability: HL7, FHIR, C-CDA, and SMART on FHIR
- Secure, large-scale healthcare data management
Skills
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