Senior DevOps Engineer

Summary

Join Blend and grow your career in the thriving tech industry, leveraging data and technology to make better decisions. As a Senior DevOps Engineer, you will work closely with our client's infrastructure team, ensuring smooth deployments and establishing robust DevOps and LLMOps practices. This crucial role involves deploying features and updates, setting up and maintaining DevOps pipelines, collaborating on LLMOps setup, monitoring deployments, automating processes, and working with cross-functional teams. The ideal candidate possesses 5+ years of experience and a strong understanding of CI/CD, infrastructure as code, and automation tools. Excellent written and verbal English communication skills are essential.

Requirements

• Proven experience as a DevOps Engineer or in a similar role
• Strong understanding of CI/CD, infrastructure as code, and automation tools
• Experience working with cross-functional teams
• Azure experience (e.g., Azure DevOps, Azure Pipelines, ARM/Bicep templates, or Terraform for Azure)
• Scripting skills in Python, Bash, or PowerShell
• You will need excellent written and verbal English for clear and effective communication with the team
• We're looking for someone with 5+ years of experience in similar roles

Responsibilities

• Work directly with the client's infrastructure team to deploy features and updates efficiently
• Set up and maintain DevOps pipelines and practices tailored to the client's infrastructure, with a strong focus in Azure Cloud
• Collaborate on the setup and optimization of LLMOps to support AI/ML workflows
• Monitor and troubleshoot deployment pipelines, ensuring high availability and reliability
• Automate infrastructure, testing, and release processes to increase delivery speed and quality

Preferred Qualifications

• Familiarity with LLMOps practices and tools is a plus (e.g., model deployment, monitoring, retraining workflows)
• Familiarity with tools like MLflow, DVC, or Kubeflow is nice to have

Benefits

• Certifications in AWS (we are AWS Partners), Databricks , and Snowflake
• Access to AI learning paths to stay up to date with the latest technologies
• Study plans, courses, and additional certifications tailored to your role
• English lessons to support your professional communication
• Career development plans and mentorship programs to help shape your path
• Anniversary and birthday gifts
• Company-provided equipment for remote work