Infrastructure Architect: Generalist

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.

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