Job description
Company Description
Are you looking for an opportunity to jump-start your career in a thriving tech industry? Join us at Blend grow our business and execute our mission to help organizations leverage data and technology to make better decisions. With over 10 years of experience in the field of big data, top US customers such as Mastercard, Tripadvisor, and Roku choose us to develop innovative products.
What is this position about?
We are looking for a Senior D evOps Engineer to join our team and collaborate closely with our clientβs infrastructure team. This role is crucial in ensuring smooth, regular deployments, while helping establish and maintain robust DevOps and LLMOps practices.
Job Description
- 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.
Qualifications
- 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).
- 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.
- Scripting skills in Python, Bash, or PowerShell.
What about languages?
You will need excellent written and verbal English for clear and effective communication with the team.
How much experience must I have?
- We’re looking for someone with 5+ years of experience in similar roles.
Additional Information
Our Perks and Benefits:
π Learning Opportunities:
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
π©βπ« Mentoring and Development:
- Career development plans and mentorship programs to help shape your path
π Celebrations & Support:
Anniversary and birthday gifts
Company-provided equipment for remote work
π Regional Flexibility:
- Other benefits may vary according to your location in LATAM