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DevOps Architect for AI/ML Workloads
3 weeks ago
About the Role:
">We are seeking a highly skilled DevOps Architect to join our Corporate Data & Analytics Team. As a key member of our team, you will be responsible for implementing DevOps and ML Ops practices to support AI/ML application enablement across The Friedkin Group of companies.
Key Responsibilities:
">- Develop automated build and deployment processes to enable continuous delivery of software releases.
- Collaborate with data scientists, data engineers, and software engineers to accelerate deployment of AI applications via CI/CD pipelines.
- Design, develop, and maintain infrastructure using infrastructure as code tools such as Terraform, Ansible, and CloudFormation.
- Templatize existing Databricks CLI codes to manage Databricks platform as code for AIML data pipelines.
- Enhance the existing DevOps practices to improve the overall AIML application development lifecycle.
- Work closely with cross-functional teams to ensure that applications are highly available and scalable.
- Collaborate with development teams and cloud platform team to ensure that infrastructure meets the requirements of the application.
- Establish and maintain best practices for cloud security, compliance, and cost optimization.
Requirements:
">- Bachelor's Degree in Computer Science, Computer Engineering, Information Technology, or Software Engineering, or equivalent technical discipline, and 10+ years of experience in software engineering with a strong background in DevOps and Infrastructure as Code, supporting Machine Learning and Data Science workloads preferred.
- Expertise on code versioning tools, such as Gitlab, GitHub, Azure DevOps, Bitbucket, etc., with a preference for GitHub.
- Experience deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP), with a preference for Databricks and AWS.
- Proficient with GitHub actions to automate testing and deployment of data and ML workloads from CI/CD provider to Databricks.
- Strong knowledge of infrastructure automation tools such as Terraform, Ansible, CloudFormation, etc.
- Experience with data processing frameworks/tools/platforms such as Databricks, Apache Spark, Kafka, Flink, AWS cloud services for batch processing, batch streaming, and streaming.
- Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms.
- Technical expertise across all deployment models on public cloud, private cloud, and on-premises infrastructure.
- Experience in event-driven and microservice architectures for enterprise-level platform development.
- Expertise in Linux and knowledge of networking and security concepts.
About Us:
">The Friedkin Group is committed to providing equal employment opportunities to all qualified candidates. We celebrate diversity and are dedicated to creating an inclusive environment for our associates. We are seeking candidates who are legally authorized to work in the United States without sponsorship.
Salary: $140,000 - $180,000 per year, based on experience and qualifications.