Senior DevOps Engineer
- Hiring from
- Probably Worldwide
- Work type
- Remote
- Posted
621,866 remote jobs, straight from company career pages
100% free · New jobs every minute
Show job descriptionHide job description
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.
What We’re Looking For
Will be a plus
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
- 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
