Senior Cloud Engineer - Smile Digital Health

Working for a company like Smile Digital Health means supporting our mandate for #BetterGlobalHealth . We strive towards this goal every day, and the results can be seen in the impact of our innovative health data platform and data management solutions, which are used in over 20 countries. We were #19 on Deloitte's Technology Fast 50 Ranking for 2024!

Smile Digital Health makes it easy for healthcare stakeholders to collect and exchange data with our leading FHIR-based data liberation platform.

At its heart, the Smile platform enables people and organizations to better manage healthcare data. We help generate and liberate structured healthcare data to ensure effective delivery across care teams and health systems bringing #BetterGlobalHealth to patients everyday!

Apply today and find plenty of reasons to SMILE!

The Senior Cloud Engineer is responsible for designing, building and maintaining cloud hosted services and platforms to support Smile Digital Health ’s SaaS and offering. This includes, but not limited to, owning the development and maintenance of deployment artifacts such as HELM charts, docker container/ compose configurations, infrastructure as code and build/deployment/automation pipelines. The role works closely with platform, infrastructure, architecture and security teams to ensure cloud deployments are scalable, reliable, secure and aligned with enterprise architecture patterns.

Reponsibilities:

• Develop, test, and maintain cloud-native RESTful APIs using Python, GoLang/ Go and JavaScript/TypeScript.
• Build and manage Docker container images, ensuring best practices for image build, security, cost efficiency and deployments.
• Author, maintain, and version HELM charts for deploying services into Kubernetes/ Openshift Environment, including configuration/ annotation values, templates, upgrades and rollback support.
• Participate in (or build) CI/CD pipelines to automate deployment, testing, monitoring, and roll-back of SaaS services.
• Monitor the performance, reliability, and scaling behavior of services; identify bottlenecks and implement solutions (caching, concurrency, resource limits, horizontal auto-scaling).
• Develop and maintain serverless SaaS components using AWS CDK, Lambda, API Gateway, and ECS/Fargate.
• Ensure high availability and fault tolerance through Kubernetes features such as readiness and liveness probes, sensible resource requests/limits, and proper namespace/networking isolation. Implement and enhance CI/CD pipelines with automated testing, versioning, and documentation publishing.
• Implement and enhance CI/CD pipelines with automated testing, versioning, and documentation publishing.
• Manage in-cluster dependencies such as PostgreSQL, Kafka, Grafana, and ElasticSearch using Helm or Operators.
• Collaborate with security, operations, and infrastructure teams to ensure depl