Senior DevOps Engineer

October 17

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Healthcare • Data Management • Analytics • SaaS Platform • Healthcare Data Transformation

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Description

• Drive design, implementation, and adoption of our custom Python- and Cloud-based deployment platform with an eye toward continuous delivery • Sustain and improve the deployment and operations of AWS and Azure compute, storage and networking services, Databricks, GenAI applications, Airbyte, and FHIR solutions • Support and manage Abacus' deployment cadence • Work with AWS and Azure compute, storage, and networking services; • Contribute to continuous improvement initiatives relating to frameworks and processes that cut across the engineering organization • Be a leader and promoter of best practices both within the team and within the larger organization

Requirements

• 5+ years of development experience, including architecture and design of complex systems • Deep cloud experience, AWS and Azure preferred • An understanding of cloud data systems and Databricks is preferred. Snowflake and Airbyte familiarity is also desirable. • Solid understanding of Linux systems administration and networking • Experience implementing a CI/CD system using an industry-standard platform such as GitLab, Jenkins, or Travis • Working knowledge of containerization, specifically Docker and Kubernetes • Fluent command of the tools of the trade, including Bash, Python, or Terraform • Knowledge of best practices as related to designing and building efficient, maintainable, testable, portable applications • Keen attention to detail • Excellent communication skills, both written and verbal • A team-first attitude, always looking to improve yourself and those around you