Cloud Engineer- Remote US at Smile Digital Health in Remote

The 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 deployments meet security, compliance, logging, monitoring, and auditing requirements.

Troubleshoot and debug issues in production and staging environments. Provide root cause analysis and propose corrective measures.

Maintain clear documentation of architecture, deployment procedures, configuration, and usage of cloud tools.

Requirements:

3-5+ years of professional experience in cloud development or infrastructure engineering roles.

Bachelor’s degree in Computer Science, Software Engineering, or a related discipline (or equivalent work experience).

Proven experience working to design and build SaaS applications and multi-cloud solutions.

Understanding of DevOps and hands-on experience working with DevOps tooling including, but not limited to, Gitlab CI, GitHub Actions, Azure Devops etc.

Working knowledge of public cloud SDKs/APIs (Azure SDK, AWS SDK, GCP SDK, etc.) for interacting with provider services (storage, identity, secrets, etc.). Boto3 and AWS CDK preferred. 

Strong experience building APIs (REST or GraphQL) in Python and/or JavaScript/ TypeScript.

Solid knowledge of Docker, containerization best practices, and experience deploying containers in Kubernetes / OpenShift.

Experience authoring and maintaining Helm charts and Operators for complex deployments. 

Familiarity with monitoring/logging/tracing tools (e.g., Prometheus, Grafana, OpenTelemetry, Elasticsearch/Loki, etc.).

Strong understanding of cloud hosting (AWS and Azure preferred) and cloud storage, secrets, and security services.

Familiarity with GitOps tooling and principles. 

Working experience with Hashicorp Terraform to build and deploy complex environments.

Ability to work in cross-functional teams and communicate effectively, both written and verbal.

Self-motivated, detail-oriented, with strong problem solving and troubleshooting skills

Additional Information:

Smile discloses that artificial intelligence (AI) may be used in portions of the recruitment and selection process, such as resume screening or application assessment. All hiring decisions are ultimately made by qualified human decision-makers, and AI tools are used to support — not replace — fair and equitable hiring practices. 

This position is a new role, created to support Smile’s continued growth and commitment to operational excellence.