Senior DataOps Engineer
Team: CR - Product
Location: Remote US
Workplace Type: remote
Responsiblilities:
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Build, maintain, and run CI/CD pipelines and infrastructure-as-code for the Smile Digital Health platform and associated services.
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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.
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Write, test, and maintain data pipelines on the same infrastructure you manage, from environment setup through to production monitoring.
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Design and maintain scalable, secure infrastructure templates and deployment automation across AWS, Azure, GCP, or OCI environments.
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Investigate and resolve data pipeline and integration issues, providing root-cause analysis and durable fixes.
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Monitor running systems and pipelines, respond to incidents, tune performance, and manage cloud infrastructure costs.
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Foster an Everything-as-Code culture and promote DataOps best practices across the team.
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Assist developers and engineers with deployments and builds as needed.
Requirements:
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6+ years in a DevOps, DataOps, or data platform engineering role.
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Hands-on experience with Apache Spark and at least one managed Spark platform (Databricks, AWS EMR, GCP Dataproc, or equivalent).
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Proficiency in Python; solid working knowledge of Java or Scala applications.
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Experience with pipeline orchestration tools such as Apache Airflow, Prefect, or similar.
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Strong CI/CD experience with GitLab CI, Jenkins, or GitHub Actions.
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Infrastructure-as-code proficiency with Terraform, Ansible, or equivalent (AWS CloudFormation and Azure ARM Templates are a plus).
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Solid experience operating Linux systems and public cloud environments (AWS, Azure, GCP, or OCI).
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Familiarity with Kubernetes or other container orchestration platforms for data workloads.
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Ability to manage multiple workstreams in parallel with strong attention to delivery timelines.
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Customer-first mindset with strong written and verbal communication skills.
Additional Information:
This position is a replacement role, created to support Smile’s continued growth and commitment to operational excellence.
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