Cloud Automation Engineer

2 weeks ago

pune, India SAS Full time

Cloud Automation Engineer

Job Locations IN-Pune Requisition ID 20060579 Job Category Information Technology Travel Requirements 10%

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

Bachelor’s degree in computer science or a related field. Minimum of 5 years of enterprise experience in software development and/or automated testing. Proficiency in debugging techniques and system analysis. Exposure to API development. Proficiency in building CI/CD pipelines with tools such as Jenkins and Gradle. Experience with programming skills in Python and shell scripting. 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

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