About the Role

DevOps Consultant role focused on helping customers deploy generative AI workloads on AWS. Responsibilities include designing distributed training pipelines, automating infrastructure, and implementing DevOps best practices. The role involves customer collaboration, technical guidance, and occasional travel.

Key Responsibilities

• Assist customers to launch generative AI workloads on AWS
• Design and implement distributed model training pipelines or deploy inference at scale
• Provide guidance on automation of infrastructure, applications, and machine learning workflows
• Help customer teams build serverless or containerized applications or adopt DevOps culture and best practices
• Collaborate with customers and partners in small teams as a trusted advisor

Required Skills & Qualifications

Must Have:

• Automating real-world production environments with Infrastructure-as-Code tools like CloudFormation, CDK, or Terraform
• Experience with containerization & orchestration (Docker, Kubernetes) and cloud container services (EKS, ECS, Fargate)
• Continuous integration/delivery (CI/CD) and corresponding tools (e.g., AWS Code-family, ArgoCD, Jenkins)
• Software development proficiency in at least one scripting/programming language (e.g., Typescript, Python, Java, C++, Go)
• Basic understanding of Machine Learning concepts related to model training, deployment, inference, MLOps

Nice to Have:

• Experience designing and building highly available, resilient, large-scale, distributed systems
• Experience working directly with customers, partners or third-party vendors
• Experience with microservices, distributed application architecture, and integrating back-end and front-end components
• Experience with automated testing tools
• Ability to communicate and present fluently in English, both verbally and in writing

Benefits & Perks

• Diverse experiences and inclusive culture
• Mentorship and career growth opportunities
• Work-life balance and flexibility