Senior DevOps Engineer, AI, Automation, & Data Engineering
Job Description
About this kind of role
What a Senior DevOps Engineer, AI, Automation, & Data Engineering usually does. The employer's own details are in the listing.
Typically does: Senior DevOps Engineers focus on automating and streamlining software delivery pipelines, ensuring efficient and reliable deployment of applications. They collaborate with development and operations teams to improve infrastructure, implement monitoring solutions, and troubleshoot system issues. This role often involves designing and implementing infrastructure-as-code solutions and automating repetitive tasks to improve overall efficiency. They also work to ensure the stability and scalability of systems, particularly those supporting artificial intelligence and data engineering initiatives.
Tools and skills: Proficiency in cloud platforms (like AWS, Azure, or Google Cloud), scripting languages (Python, Bash), configuration management tools (Ansible, Puppet, Chef), containerization technologies (Docker, Kubernetes), and CI/CD pipelines is generally expected.
Good fit for: Individuals with strong problem-solving skills, a passion for automation, and a collaborative mindset often thrive in this role.
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Engineering Technologists and Technicians, Except Drafters: 391,000 people in the US, paid from $47,010 a year (the lowest 10%) to $107,910 (the top 10%), with $73,460 in the middle, in May 2025. See these jobs →
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