Job description

Senior DevOps Engineer - EMEA

In All Media

About Our Client: Our client is a global leader in Applied Safety Science, serving diverse industries such as Chemicals, Healthcare, Industrials, and Logistics. With teams in Dublin, Chicago, and Sao Paulo, is at the forefront of designing and implementing cutting-edge AI and ML solutions. To support their expanding product roadmap and increasing internal demands, our client is seeking additional skilled engineers to join their team.

Position Overview: As a Senior DevOps Engineer, you will play a crucial role in supporting infrastructure development, site reliability engineering, and CI/CD pipeline automation. You will work within an agile environment, closely integrating with scrum development teams and product managers to drive the successful deployment and management of AI and ML solutions. Your expertise will ensure the seamless integration of machine learning functionalities and address various project needs.

Key Responsibilities:

Support infrastructure development and enhance site reliability engineering practices.
Design, build, and maintain CI/CD pipelines using Azure DevOps within an Azure cloud environment.
Implement and manage container orchestration using Docker, AKS, and Helm.
Integrate various Azure resources within private networks to optimize infrastructure.
Develop and manage Infrastructure as Code (IaC) using Bicep.
Script automation tasks using Bash or other relevant scripting languages.
Address ML Operations, DevOps challenges, feedback loops, and production deployment to ensure safe and efficient AI solution management.
Collaborate with scrum teams to transition Proof-of-Concepts into operational applications.
Develop and deploy sophisticated algorithms and optimize machine learning models.
Create packages for service consumption, infrastructure, and data management to support advanced Data Science projects.

Must Have:

5+ years of solid professional experience in DevOps practices, particularly in infrastructure development, site reliability engineering, and CI/CD pipeline automation.
Proven experience with Docker and container orchestration using AKS and Helm.
Expertise in building/maintaining CI/CD pipelines using Azure DevOps within Azure cloud environments.
Proficiency with Azure Infrastructure and integrating various Azure resources within private networks.
Advanced skills in Infrastructure as Code (IaC), preferably using Bicep.
Strong scripting capabilities in Bash or other scripting languages.

Nice to Have:

Experience with automating data lifecycle management within Azure blob storage.

Ideal Candidate:

Advanced technical and development skills with a passion for innovation and problem-solving.
Demonstrated ability to handle diverse challenges related to ML Operations and DevOps.
Commitment to contributing to high-impact projects and ensuring seamless integration of AI and ML functionalities.

Benefits
100% remote work.
Payments made from the US.
International teams.
Exciting projects; all our clients are top-notch US-based companies.
Hourly rates in US dollars.
Full-time and long-term projects.
Contract as a vendor.

Required profile