Senior DevOps Engineer

Blend360
Summary
Join Blend and become a Senior DevOps Engineer, collaborating with our client's infrastructure team to ensure smooth deployments and establish robust DevOps and LLMOps practices. This crucial role involves working directly with the client's team to deploy features and updates, setting up and maintaining DevOps pipelines, collaborating on LLMOps setup and optimization, monitoring and troubleshooting pipelines, and automating processes. You will need 5+ years of experience and strong understanding of CI/CD, infrastructure as code, and automation tools. Excellent written and verbal English communication skills are essential. We offer various perks and benefits, including learning opportunities, mentorship, celebrations, and regional flexibility.
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
- 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
- Azure experience (e.g., Azure DevOps, Azure Pipelines, ARM/Bicep templates, or Terraform for Azure) preferred but AWS and/or GCP are also great!
- 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