DevOps Engineer ( Python & Spark Exp ):: 100% Remote :: W2 Profiles Only

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Job Overview

Aorton Inc. is seeking a talented and motivated DevOps Engineer with expertise in Python and Spark to join our innovative team in a 100% remote capacity. This role will involve the deployment, management, and optimization of scalable and efficient systems that support our cloud-based infrastructure. The ideal candidate will demonstrate proficiency in automating workflows, collaborating with software development teams, and enhancing the reliability of our continuous integration and delivery processes.

Job Responsibilities

• Design and implement CI/CD pipelines to streamline software delivery processes.
• Collaborate closely with development and operations teams to improve system architecture.
• Manage and monitor cloud-based resources to ensure optimal performance and availability.
• Automate repetitive tasks to improve operational efficiency and reduce manual intervention.
• Utilize Python and Spark for data processing, analysis, and workflow orchestration.
• Implement security best practices and ensure compliance across all deployments.
• Diagnose and resolve system issues, bugs, and performance bottlenecks.
• Create and maintain technical documentation for processes and systems.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in a DevOps or similar role.
• Expertise in Python programming and hands-on experience with Apache Spark.
• Proficiency in working with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong experience with containerization and orchestration tools like Docker and Kubernetes.
• Familiarity with configuration management tools like Ansible, Puppet, or Chef.
• Understanding of networking, load balancing, and web services architecture.
• Excellent problem-solving skills and the ability to work under pressure.

Technologies & Tools

In this position, candidates will utilize a range of technologies and tools including Python for scripting and automation, Apache Spark for big data processing, and various cloud services such as AWS or Azure for deployment and management. Familiarity with Docker and Kubernetes for container orchestration, as well as CI/CD tools such as Jenkins or CircleCI, will be essential in the daily workflow. Additionally, knowledge of configuration management tools like Ansible will enhance infrastructure reliability.

Ideal Candidates

The ideal candidate for the DevOps Engineer position at Aorton Inc. should possess a proactive attitude towards problem-solving and a passion for innovation. They should be comfortable working in a collaborative environment and communicating effectively with cross-functional teams. A strong commitment to continuous improvement and a willingness to adapt to new technologies will further distinguish candidates. Moreover, the ability to thrive in a remote work setting while maintaining high productivity levels is critical for success in this role.