
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.
🕒 May 14
Airflow
Ansible
Apache
AWS
Azure
Cloud
Google Cloud Platform
Java
Jenkins
Kubernetes
Linux
Python
Scala
Spark
Terraform
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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.
• Build, maintain, and run CI/CD pipelines and infrastructure-as-code for the Smile Digital Health platform and associated services. • Provision, configure, and operate cloud-based Spark clusters and distributed data processing environments, including hands-on work with orchestration tools such as Airflow, Databricks, or EMR. • Write, test, and maintain data pipelines on the same infrastructure you manage, from environment setup through to production monitoring. • Design and maintain scalable, secure infrastructure templates and deployment automation across AWS, Azure, GCP, or OCI environments. • Investigate and resolve data pipeline and integration issues, providing root-cause analysis and durable fixes. • Monitor running systems and pipelines, respond to incidents, tune performance, and manage cloud infrastructure costs. • Foster an Everything-as-Code culture and promote DataOps best practices across the team. • Assist developers and engineers with deployments and builds as needed.
• 6+ years in a DevOps, DataOps, or data platform engineering role. • Hands-on experience with Apache Spark and at least one managed Spark platform (Databricks, AWS EMR, GCP Dataproc, or equivalent). • Proficiency in Python; solid working knowledge of Java or Scala applications. • Experience with pipeline orchestration tools such as Apache Airflow, Prefect, or similar. • Strong CI/CD experience with GitLab CI, Jenkins, or GitHub Actions. • Infrastructure-as-code proficiency with Terraform, Ansible, or equivalent (AWS CloudFormation and Azure ARM Templates are a plus). • Solid experience operating Linux systems and public cloud environments (AWS, Azure, GCP, or OCI). • Familiarity with Kubernetes or other container orchestration platforms for data workloads. • Ability to manage multiple workstreams in parallel with strong attention to delivery timelines. • Customer-first mindset with strong written and verbal communication 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🕒 May 14
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