Principal Application Software Engineer
Job description
We are seeking a versatile Software Engineer to contribute across platform engineering, cloud infrastructure, distributed systems, application development, integration services, and healthcare workflow solutions. This role bridges the gap between foundational cloud platforms and customer-facing healthcare applications, providing opportunities to work throughout the software development lifecycle. The ideal candidate is passionate about building reliable platforms, developing innovative applications, solving complex technical challenges, and delivering solutions that directly impact healthcare providers, patients, payers, and public health organizations. Responsibilities Design, develop, test, and maintain scalable software solutions and cloud-native services. Build and support healthcare applications, APIs, integrations, and platform capabilities. Develop reliable, secure, and highly available systems running on Ora*** Cloud Infrastructure (OCI). Collaborate with product managers, architects, engineers, and operational teams to deliver customer-focused solutions. Participate in system design, code reviews, troubleshooting, performance optimization, and operational excellence initiatives. Contribute to automation, observability, security, and continuous delivery practices. Support modernization efforts leveraging cloud technologies, healthcare interoperability standards, and AI-driven capabilities. Qualifications Minimum Qualifications 7+ years of experience in software engineering, application development, platform engineering, or related technical roles within a fast-paced technology environment.- 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. Preferred Qualifications 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. Technologies and Areas of Focus Ora*** Cloud Infrastructure (OCI) Cloud-native architectures Distributed systems and microservices Kubernetes and container technologies Java, Python, Go, JavaScript, or related languages REST APIs and event-driven systems CI/CD and DevOps tooling Infrastructure automation Observability and monitoring platforms Healthcare interoperability standards (FHIR, HL7, SMART on FHIR) Artificial Intelligence and Machine Learning platforms Large-scale healthcare data management Cross-Functional Leadership Partner with engineering, product, security, operations, and customer teams. Drive engineering excellence through best practices, mentoring, and technical leadership. Participate in roadmap planning and technology modernization efforts. Contribute to innovation initiatives focused on AI, cloud, healthcare interoperability, and next-generation healthcare experiences. Current and Future Initiatives Ora*** Health is investing heavily in the modernization of healthcare technology through: Next-generation cloud-native EHR platforms AI-first healthcare experiences embedded directly into clinical workflows 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 built on OCI Large-scale modernization of healthcare systems across providers, payers, and government organizations Expansion of secure, scalable healthcare infrastructure supporting global healthcare ecosystems The long-term vision is to create an intelligent healthcare platform where clinical, operational, financial, and patient data work together seamlessly to improve healthcare delivery, reduce complexity, and accelerate innovation.