
201 - 500 employees
Founded 2016
⚕️ Healthcare Insurance
☁️ SaaS
🏢 Enterprise
💰 $30M Series B on 2023-01
Healthcare Insurance • SaaS • Enterprise
Smile Digital Health is a company specializing in healthcare data interoperability and health IT solutions. Their Smile Health Data Platform enables efficient data ingestion and transformation into FHIR resources, enhancing clinical decision-making and business intelligence. Focused on compliance and security, Smile Digital Health offers services such as prior authorization automation, standardizing data exchange, and supporting healthcare providers, payers, and health information exchanges with customizable and scalable solutions.
🕒 5 days ago
AWS
Azure
Cloud
Docker
ElasticSearch
Google Cloud Platform
Grafana
GraphQL
JavaScript
Kafka
Kubernetes
OpenShift
Postgres
Prometheus
Python
Terraform
TypeScript
Go
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201 - 500 employees
Founded 2016
⚕️ Healthcare Insurance
☁️ SaaS
🏢 Enterprise
💰 $30M Series B on 2023-01
Healthcare Insurance • SaaS • Enterprise
Smile Digital Health is a company specializing in healthcare data interoperability and health IT solutions. Their Smile Health Data Platform enables efficient data ingestion and transformation into FHIR resources, enhancing clinical decision-making and business intelligence. Focused on compliance and security, Smile Digital Health offers services such as prior authorization automation, standardizing data exchange, and supporting healthcare providers, payers, and health information exchanges with customizable and scalable solutions.
• 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.
• 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 and 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
• Remote Work Environment • Flexible Time Away From Work Policy including PTO, Personal and Sick Days • Competitive Salary and Health/Medical Benefits • RRSP/TFSA/401K Employee Contribution • Life and Disability • Employee Assistance Program • FHIR Study Program and Skillsoft Learning • Super HAPI Fun Club
Apply Now🕒 5 days ago
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