Job
Description
Your role and responsibilities Job Summary We are seeking a talented and motivated DevOps Engineer to join our team with a minimum of 8years of experience. The ideal candidate will have hands-on experience with DevOps practices, supporting diverse platforms, and developing robust solutions using Python. The role requires expertise in OpenShift, a solid understanding of microservices architecture, and API orchestration. Familiarity with platforms like Watsonx.data, Watsonx.ai, Milvus, and/or Cloud Pak for Data is highly desirable. Experience with Presto and Spark is welcomed and will be considered a strong asset. The candidate must also have a strong focus on writing quality code, automation testing, and ensuring reliability. Exceptional problem determination skills, timeline management, and the ability to thrive in a fast-paced, dynamic environment are essential. Key Responsibilities Design, deploy, and manage highly scalable and reliable DevOps solutions across multiple platforms. Develop and maintain microservices-based architectures and ensure seamless API orchestration. Automate infrastructure and application deployments using tools and scripts, primarily in Python. Support and optimize OpenShift-based environments for high availability and performance. Collaborate with cross-functional teams to implement and support platforms like Watsonx.data, Watsonx.ai, Milvus, and Cloud Pak for Data. Work with Presto and Spark to support scalable, high-performance data processing. Write, maintain, and improve high-quality, reusable code that adheres to best practices. Implement and maintain automation testing frameworks to ensure code reliability and minimize defects. Develop and maintain CI/CD pipelines to streamline application delivery. Monitor system performance, conduct root cause analysis, and provide resolutions for production issues. Ensure compliance with industry standards and security best practices. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Required Skills and Qualifications Proven experience in DevOps engineering and managing complex infrastructures. Strong proficiency in Python for scripting, automation, and development. Hands-on expertise with OpenShift and container orchestration tools. Solid understanding of microservices architecture and API orchestration. Deep experience in CI/CD pipelines, automation tools, and infrastructure as code (IaC). Strong focus on code quality and experience with automation testing frameworks (e.g., pytest, Selenium, or similar). Demonstrated ability in problem determination and solving complex technical issues. Exceptional skills in managing timelines and delivering projects on schedule. Preferred technical and professional experience Preferred Qualifications Experience working with Watsonx.data, Watsonx.ai, Milvus, or Cloud Pak for Data. Knowledge or hands-on experience with Presto and Spark for data processing and querying. Knowledge of cloud technologies (e.g., AWS, Azure, IBM Cloud). Familiarity with machine learning workflows and data pipeline management. Experience with monitoring tools (e.g., Prometheus, Grafana) and log aggregation systems (e.g., ELK stack). Strong communication skills and ability to work effectively in a team environment.
