The right candidate will have a desire to learn fast, cross over boundaries and drive innovation to help Healthgrades achieve success in product delivery for a highly integrated, multi-discipline engineering organization.

Your Role:

• Implement the latest DevOps practices and processes, such as automation, continuous deliver and service monitoring.
• Collaborate with architects, software engineers and configuration managers to improve software delivery, configuration management, site monitoring and site performance.
• Advise and assist across teams to improve site uptime, reduce service incidents and outages, and accelerate software deployments.
• Demonstrate excellent technology leadership and decision-making
• Perform daily system monitoring, verifying the integrity and availability of all hardware, server resources, systems and key processes, reviewing system and application logs and verifying completion of scheduled jobs such as backups
• Drive agile SDLC best practices, continuous integration and delivery (CI-CD) in a squad as part of a progressive, agile organizational structure.

What You Need to Succeed:

• Possess a deep curiosity of the latest and greatest in technology and infrastructure. Have a desire towards self-education of unknown territories.
• Possess the confidence and humility to create an environment of open and candid collaboration.
• Have a test-and-learn mentality – pivot quickly when not successful.
• Understand the value of going fast vs. doing it right in a regulated environment.
• Experience creating environments using infrastructure automation tools like Terraform and Cloud Formation.
• Strong experience with multiple OO languages - Python, JavaScript (Node.js) and Java are most ideal
• Strong experience with CI/CD technologies (Jenkins)
• Expertise with at least one scripting language (ideally would be Python, PowerShell or Bash)
• Experience working in containerized environments using tools like Docker, Kubernetes or Mesos.
• Strong Cloud platform experience (AWS)
• Experience with traditional, streaming, and NoSQL data technologies (Kafka, Spark, Hadoop/EMR, Elasticsearch, MySQL)