Senior DevOps Engineer - AWS

About Fusemachines
Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 400 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world.
About the role
If you're interested in using cloud technologies to solve complex problems, design sophisticated solutions, and build high-quality products, we want to hear from you.
This is a remote, contract based role. (Not open to C2C)
Key Responsibilities

• Design and implement secure, scalable software architectures for diverse user demographics and connectivity scenarios.
• Architect a next-gen platform infrastructure emphasizing automation, security, scalability, observability, and cost-efficiency.
• Enhance software development lifecycle tools, including CI/CD pipelines and environment setups, to accelerate application delivery.
• Manage and optimize a variety of systems, including Linux VMs and AWS services, and maintain infrastructure-as-code solutions.
• Drive DevOps best practices in the Engineering team, ensuring compliance with standards like SOC-2 and PCI, and automating development processes.
• Support software enhancements by collaborating with cross-functional teams, ensuring robust security measures, and keeping updated with cloud and programming advancements.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Math or comparable area of study.
• 5+ years of demonstrated experience in a DevOps Engineer, Cloud Engineer or similar role
• Administration of cloud-based applications (preferably AWS) and Linux-based systems.
• Expertise in one or more infrastructure-as-code solution (e.g. Terraform, AWS CDK, CloudFormation, etc.)
• Experience with maintaining Docker-based applications with a preference towards Kubernetes experience.
• Experience with Amazon S3, RDS, DynamoDB, API Gateway, IAM, CloudFormation, SageMaker, EC2, ECS, EKS and/or OpenSeach
• Prior experience working with AI-based products and/or Machine Learning teams a major plus.
• Thorough understanding of React.js and its core principles.
• Experience with React.js and Node.js (nice-to-have)
• Experience with writing Lambda Function backend using Python or NodeJs.
• Experience with common front-end development tools such as NPM, Webpack, etc.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.