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Senior DevOps Engineer

Digis · Remote, UA

Posted Nov 11, 2026

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About the job

Binariks is looking for a Senior DevOps / Cloud Infrastructure Engineer to run an emerging multi-tenant AI platform on AWS. The role will own infrastructure as code, releases, security and the cost of running large language models in production. Project Details: The project is an emerging AI decision-intelligence platform for pharmaceutical commercial teams, developed for a US healthcare data and analytics company. It turns daily specialty-pharmacy, hub, payer and clinical data into AI-generated recommendations that show why they were made and who acts on them, then measures whether they worked. The role will join a senior Binariks team working alongside the client’s product and engineering teams on AWS. What We’re Looking For - 5+ years of experience in DevOps, Cloud Infrastructure, or SRE roles - Strong hands-on experience with AWS in production environments - Practical experience with AWS services: EC2, ECS/EKS, Lambda, S3, RDS, VPC, IAM, CloudWatch and networking components - Strong Infrastructure as Code experience; CloudFormation is preferred. Terraform experience is a plus - Experience designing and maintaining CI/CD pipelines and automated release processes - Strong understanding of Linux administration, networking, security, and troubleshooting - Experience with monitoring, logging, alerting, and production observability - Understanding of high availability, backup strategies, disaster recovery, and fault-tolerant architectures - Experience with cloud cost optimization and resource management - Understanding of containerization and orchestration technologies (Docker, Kubernetes) - Experience or familiarity with Windows Server administration/services and migration to Linux containers is a strong plus - Experience with scripting and automation (Python, Bash, or similar) - Upper-Intermediate English or higher, with the ability to communicate with international engineering teams Your responsibilities - Design, build, and maintain scalable AWS cloud infrastructure for a multi-tenant AI platform - Implement and manage Infrastructure as Code (CloudFormation) - Develop and maintain CI/CD pipelines, release processes, and environment management - Configure and maintain AWS networking, compute, serverless services, IAM, and security controls - Establish monitoring, logging, alerting, and observability practices - Implement backup strategies, disaster recovery, and infrastructure reliability practices - Monitor and optimize cloud infrastructure costs, including LLM usage and inference expenses (FinOps) - Support production deployments and troubleshoot infrastructure and performance issues - Plan and execute migration of selected Windows-based services to Linux - Collaborate with engineering and product teams on infrastructure architecture and technical decisions Will be a plus - Familiarity with AWS Bedrock, SageMaker, or LLM deployment patterns Відгукнутись на вакансію

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