DevOps Engineer [Public Healthcare]

• 10-month contract, renewable • Hybrid work arrangement • Government project Project Overview As the platform expands beyond specialist settings into general psychiatry and care coordination workflows, it has demonstrated both clinical value and the need for greater scalability, flexibility across care models, and stronger system integration to support higher patient volumes and broader population use. In response, the platform is evolving from a single clinical product into a scalable, modular digital phenotyping platform. This platform adopts a layered approach to user engagement and data collection, ranging from low-touch, privacy-first mobile engagement with minimal data collection, to opt-in digital phenotyping using smartphone and wearable data, and up to fully integrated, clinician-supported care models. This tiered design enables safe, large-scale adoption at lower layers while preserving clinical rigour and validated use in higher-acuity settings. It also supports Bring Your Own Device (BYOD) models and lightweight mobile-only implementations, improving accessibility and cost efficiency. A key feature of this platformisation is the ability to dynamically adjust a user's level of participation based on clinical need, risk signals, and user consent—enabling seamless transitions between self-guided and clinician-supported care. Supported by ongoing efforts such as Healthcare Commercial Cloud (HCC) migration and integration with platforms (e.g., mindline.sg), the platform is positioning itself as a foundational, privacy-first digital phenotyping service that can power multiple mental health use cases across MOHT, from population wellbeing to high-acuity clinical care. Responsibilities • Own the deployment, observability, and reliability of the digital phenotyping engine across multiple MOHT products, ensuring secure operations and smooth scaling as more users and clinics adopt higher-layer capabilities • Build and maintain CI/CD pipelines for backend services, data processors, and user-facing APIs • Develop robust infrastructure for real-time and batch signal processing (e.g., sleep/activity summaries, reflection prompts, clinician dashboards) • Implement infrastructure-as-code for scalable, multi-environment deployments (testing, staging, clinical-grade production) • Set up monitoring for pipeline health and system performance • Implement security controls aligned with privacy and opt-in requirements (e.g., secrets management, permissioned endpoints, data-layer isolation) • Ensure resilience and recovery for high-trust clinical modes (L4) where data integrity and timeliness are critical • Automate environment provisioning for research, validation, and real-world testing Requirements • Bachelor’s degree in Computer Science, Engineering, or a related field • Minimum 4 years of experience in DevOps, Site Reliability Engineering (SRE), or related roles • Experience building and maintaining CI/CD pipelines and deployment workflows • Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) and containerisation technologies (e.g., Docker, Kubernetes) • Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, or similar) • Understanding of monitoring, logging, and observability practices (e.g., Prometheus, Grafana, ELK stack, or similar) • Experience supporting data pipelines or real-time processing systems is an advantage • Knowledge of security best practices, especially around secrets management, access control, and data protection • Strong problem-solving skills and ability to work across cross-functional teams (e.g., Data, Engineering, QA)