Python Developer-DevOps

About the job

The SAS Managed Innovation DevOps team is looking for a Cloud Engineer to play a vital role in the development, implementation, and maintenance of mission-critical DevOps automation for our SAS Managed services. You'll collaborate closely with cross-functional teams to support our DevOps infrastructure, enabling the delivery of highly performant and secure software implementations.

As a Cloud Engineer, you will:

• Gain expertise in the SAS Managed portfolio of services supported by the CI/CD pipeline(s) as implemented by the SAS Managed Innovation team.
• Collaborate with SAS Managed Innovation Development, Delivery and Operations teams to maintain the health of the build pipeline.
• Develop tools and processes for real-time monitoring of systems, reducing manual tasks and improving performance.
• Deploy, operate, and maintain SAS Managed services and software in multi-cloud environments, ensuring reliability and scalability.
• Challenge the status quo and continuously improve quality engineering practices.

Required qualifications

• Bachelors degree in Computer Science or a related field.
• Minimum of 5 years of enterprise experience in software development and/or automated testing.
• Experience with programming skills in

  Python

  and shell scripting.
• Proficiency in debugging techniques and system analysis.
• Exposure to API development.
• Proficiency in building CI/CD pipelines with tools such as Jenkins and Gradle.
• Familiarity with source control management using Git.
• Experience with containerization technologies like Docker and Kubernetes.
• Working knowledge of at least one public cloud interface (Azure, AWS, or GCP).
• Equivalent combination of related education, training and experience may be considered in place of the above qualifications.
• You’re curious, passionate, authentic, and accountable. These are our values and influence everything we do.

Preferred qualifications

• Familiarity with GitHub tools such as GitHub Actions.
• Knowledge of Python, Java, Go programming languages, and open-source test automation frameworks.
• Experience with Infrastructure as Code (IAC) tools like Terraform.
• Familiarity with site reliability engineering (SRE) and observability tools such as Datadog, Kibana, and Prometheus.
• Experience with CI/CD tools like GitHub Actions, Azure DevOps, GitLab Pipelines, Spinnaker and Argo, as well as security and performance tools.
• Agile experience, including SCRUM and Retrospectives.

Other knowledge, skills, and abilities

• Strong verbal, written, and interpersonal communication skills.
• Attention to detail and accuracy - while maintaining a solid awareness of the ‘big picture’.
• Ability to communicate with global peers and management in a clear, straightforward and effective way.
• Strong analytic and deductive reasoning skills
• Knowledge of data science technology and architecture.
• Support global external and internal customers negotiating any challenges presented by different cultures, work practices, and time zones
• Ability to work flexible business hours as required by global customers / business needs
• Communicate clearly and efficiently with internal and external stakeholders highlighting any risks or blockers with recommendations to remediate and work around identified issues
• Identify, design, and implement new initiatives designed to ensure long-term customer success and value
• Stay current on SAS offerings, technologies and industry trends
• Engineer solutions to ensure scalability and reliability