Senior DevOps Engineer (Kubernetes, MLOps, LLMOps)

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Job Overview

The Senior DevOps Engineer at LeoTech will play a critical role in enhancing our operations by developing and maintaining robust automated systems. This position will focus on Kubernetes, MLOps, and LLMOps, facilitating seamless integration and delivery of our machine learning models. The ideal candidate will work closely with cross-functional teams to ensure the reliability, scalability, and security of infrastructure, while also guiding the team through the adoption of best practices in CI/CD processes.

Job Responsibilities

• Design, implement, and manage scalable Kubernetes clusters.
• Develop and automate MLOps pipelines for deployment and monitoring of machine learning models.
• Implement best practices for LLMOps to streamline the lifecycle of large language models.
• Collaborate with data scientists and software engineers to ensure CI/CD processes are optimized for machine learning applications.
• Monitor and troubleshoot issues related to cloud infrastructure, performance, and security.
• Develop documentation and knowledge-sharing materials to enhance team skills and efficiency.
• Participate in on-call rotations for incident response and system availability.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience in DevOps, with a strong focus on Kubernetes and cloud technologies.
• Experience with MLOps frameworks and tools (e.g., Kubeflow, MLflow).
• Understanding of LLMOps practices and large-scale NLP model management.
• Strong scripting skills in languages such as Python, Bash, or Go.
• Proficiency in CI/CD tools such as Jenkins, GitLab CI, or CircleCI.
• Experience with cloud platforms like AWS, GCP, or Azure.
• Knowledge of containerization and orchestration technologies.

Technologies & Tools

The ideal candidate will work with a range of technologies and tools, including Kubernetes for container orchestration, various MLOps frameworks like Kubeflow and MLflow, and cloud platforms such as AWS, GCP, or Azure. Familiarity with CI/CD tools, scripting languages, and performance monitoring tools will also be essential to ensure efficient workflows and system integrity.

Ideal Candidates

Ideal candidates for this Senior DevOps Engineer position will possess a strong problem-solving mindset, a proactive approach to challenges, and the ability to work collaboratively in a team environment. They should demonstrate excellent communication skills and an eagerness to remain updated with the latest industry trends. Additionally, a strong sense of ownership and accountability, along with the capacity to mentor and guide peers, will further enhance their fit for our dynamic organization.