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Posted: 31-May-25
Location: Los Angeles, California
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Internal Number: 147672338
Come shape the future of healthcare IT with us!
Are you passionate about leveraging Artificial Intelligence (AI), Machine Learning (ML), and automation to enhance IT operations and data management? UCLA Health IT is seeking a highly skilled AIOps and DataOps Engineer to join our Solutions Architecture and Engineering (SAE) Team, ensuring that our on-premises and cloud infrastructure stays ahead of rapid customer growth.
About the Role:
As an AIOps and DataOps Engineer, you will play a pivotal role in optimizing IT operations and data workflows. You will:
- Automate IT operations to enhance system reliability, performance, efficiency, and security.
- Optimize data pipelines, ensuring data quality and availability for business intelligence and analytics.
- Integrate AI/ML solutions into observability practices to proactively detect and resolve system issues.
- Collaborate across teams, including IT, data science, and business units, to drive operational excellence.
- Design and implement scalable architectures that align with organizational needs while maintaining strong security protocols.
- Develop and maintain AIOps platforms for predictive analytics and proactive system optimization.
- Automate incident detection, diagnosis, and resolution using AI-driven tools.
- Establish data governance frameworks, ensuring high data quality and compliance.
- Implement monitoring and alerting systems for real-time performance tracking.
- Design process automation solutions using Terraform, Chef, Puppet, Jenkins, and other tools.
- Work with distributed environments across Linux and Windows platforms.
- Ensure seamless cloud integration within AWS and Azure, leveraging Infrastructure as Code (IaC).
- Foster collaboration across IT, business operations, and data teams to streamline workflows and improve efficiency.
Seeking top candidates with the following skills, knowledge, and experience:
- Bachelor’s or Master’s degree in Computer Science or related fields.
- 2+ years of experience in AI/ML, AIOps, and DataOps concepts.
- Development experience in Python, Java, C++, JSON, Node.js (JavaScript), Ruby, and relevant scripting languages.
- Certifications in AI/ML technologies or cloud platforms (AWS Certified Solutions Architect a plus).
- Experience with monitoring tools like ServiceNow, WIZ, Prometheus, or Splunk (for AIOps).
- Working knowledge of DevOps principles and practices.
- Expertise in containerization (Docker, Kubernetes) for deployment efficiency.
- Strong communication skills with a collaborative mindset.
This is a unique opportunity to play a critical role in advancing UCLA Health’s Data and AI platforms, contributing to groundbreaking healthcare and research initiatives. As part of our high-performance IT team, you’ll be at the forefront of innovation in automation, cloud infrastructure, and AI-driven solutions.
This flexible hybrid role allows for a blend of remote and on-site work, requiring presence on-site at least 15-20% of the time, and as needed based on operational requirements. Please note, travel to the "home office" location is not reimbursed. Each employee will complete a FlexWork Agreement with their manager to outline expectations and ensure mutual understanding. These arrangements are periodically reviewed and may be adjusted or terminated as necessary.
Salary offers are based on a variety of factors including qualifications, experience, and internal equity. The full salary range for this position is $ 83,800 -179,400annually. The University anticipates offering a salary between the minimum and midpoint of this range.
- Excellent oral and written communication skills for clear and concise technical documentation.
- Strong adaptability, flexibility, and team spirit with a drive for success.
- Familiarity with continuous delivery pipelines and containerization technologies.
- Proven ability to document processes and procedures effectively.
- Ability to complete tasks and projects with minimal supervision, demonstrating initiative and organization.
- Strong attention to detail for high-quality work.
- Bachelor of Computer Science or Equivalent (Engineering, Mathematics, IT) With Relevant Experience
