Offer summary

Qualifications:

Minimum 5 years of professional experience in DevOps, software engineering, or data engineering., Experience with CI/CD infrastructure, preferably Jenkins, and container technologies like Docker and Kubernetes., Expertise in AWS services such as IAM, ECS/EKS, EMR, S3, and Lambda/Serverless., Strong communication skills for collaboration with team members and stakeholders..

Key responsabilities:

Automate secure and resilient infrastructure delivery for machine learning applications.

Deliver reliable, scalable, and efficient container-orchestrated solutions.

Monitor, troubleshoot, and resolve issues in the infrastructure.

Provide technical vision and guidance to teammates while implementing automation initiatives.

Job description

We seek a passionate Senior DevOps Engineer / Site Reliability Engineer to build automation to enable machine learning engineers to continuously deliver predictive analytics for forecasting, personalization, and inventory optimization.

Working hours: 16:00/17:00 – 00:00/01:00 (EET).

As a DevOps / Site Reliability Engineer, you will be expected to own projects end-to-end – from conception to operationalization, demonstrating an understanding of the full software development lifecycle.

You will be working with the Artificial Intelligence and Machine Learning (AI/ML) team. With teammates in Portland, Boston, China, and Poland, you’ll be joining a global organization working to solve machine learning problems at scale. You’ll be designing and implementing scalable applications that leverage prediction, image recognition, and natural language processing models to deliver data-driven decisions that result in immense business impact. You’ll also contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development. Your primary focus will be on building the client's GenAI platform.

Your tasks

Automation of secure and resilient infrastructure delivery
Working in a DevOps culture on delivering reliable, scalable, and efficient container-orchestrated solutions for new and existing applications
Monitoring, troubleshooting, and resolving any issues that arise
Implementing automation and improvement initiatives to optimize system performance
Provide technical vision and guidance to your teammates

Requirements

Minimum 5 years of professional experience in DevOps, software engineering, data engineering, or related field
Experience with building CI/CD infrastructure (preferably Jenkins)
Previous work with Docker, Kubernetes, and related tools and systems
Expertise with AWS components and services, particularly: IAM, ECS/EKS, EMR, S3, and Lambda/Serverless
Experience with technologies like ArgoCD would be an advantage
Familiar with principles of solution architecture and technical design
Effective communication skills (with team members, the business, and in code)

Required profile