Sr Platform Software Engineer

This role will engage with an international spectrum of teams and diverse technologies, providing opportunity 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 organisations.
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 Oracle 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 optimisation, and operational excellence initiatives.
Contribute to automation, observability, security, and continuous delivery practices.
Support modernisation efforts leveraging cloud technologies, healthcare interoperability standards, and AI-driven capabilities.
Qualifications
Minimum Qualifications
4+ 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.
Technical engineering experience with coding in languages such as Java (preferred)
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
Cloud-native architectures
Distributed systems and microservices
Kubernetes and container technologies
REST APIs and event-driven systems
CI/CD and DevOps tooling
Infrastructure automation
Artificial Intelligence and Machine Learning platforms
Large-scale healthcare data management

Skills
Java, REST API, Microservices, AWS, Azure, Kubernetes, CI/CD, Machine Learning, Artificial Intelligence

Experience
4+ yrs

Work arrangement
No