➡️ Apply here: Senior DevOps Engineer
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We are looking for a **Senior DevOps Engineer** to work on cloud and deployment infrastructure across several deep-tech startups in the computer vision domain. In this role, you will design and maintain infrastructure solutions on top of Kubernetes (EKS) and AWS, ensuring reliability, security, and developer velocity.
You will closely collaborate with engineers, product managers, and ML teams to support a scalable platform for building and deploying AI-powered products. You’ll also contribute to setting best practices, improving observability, and sharing knowledge within the DevOps team.
This position is ideal for someone who thrives on ownership, understands modern cloud-native stacks, and knows how to balance flexibility with reliability.
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**Responsibilities**
* Design and maintain infrastructure on AWS and EKS (Kubernetes)
* Establish and enforce Infrastructure as Code practices using Terraform and Helm
* Build a stable, secure, and efficient platform for development, testing, and deployment
* Develop and maintain CI/CD pipelines and internal tooling
* Collaborate with backend, ML, and product teams to meet platform requirements
* Implement and improve monitoring, logging, and incident response practices
* Take responsibility for infrastructure uptime, scalability, and cost optimization
* Contribute to DevOps standards and knowledge sharing across the team
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**Required Qualifications**
* 5+ years of experience in DevOps or platform engineering roles
* Proven hands-on experience with AWS and EKS/Kubernetes in production
* Strong knowledge of Terraform, Helm, and modern IaC approaches
* Experience building and maintaining CI/CD pipelines and internal platforms
* Confidence in owning and operating infrastructure at scale
* Fluent in Russian (written and spoken)
* Excellent communication skills across technical and non-technical teams
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**What We Offer**
* Ownership: Lead key infrastructure initiatives with autonomy
* Modern Stack: Work with Kubernetes, AWS, IaC, and scalable platform tools
* Cross-Functional Work: Collaborate with ML, backend, and product teams
* Flexibility: Remote-friendly, results-first environment