About the job
About Us: At Xenon7, we connect elite tech talent with unparalleled opportunities! Our collaboration with leading enterprises and innovative startups allows us to engage in groundbreaking projects that utilize the latest technologies in various IT domains, including Data, Web, Infrastructure, AI, and more. We specialize in delivering IT solutions and on-demand resources that empower clients to undertake transformative initiatives, fostering innovation and driving business growth. Whether we are equipping global organizations or partnering with pioneering startups, our commitment is to provide advanced and impactful solutions that tackle today’s most intricate challenges.
About the Role:
We are in search of a proficient Infrastructure & DevOps Engineer to facilitate the development and deployment of AWS SageMaker Unified Studio. In this role, you will build upon the existing SageMaker ecosystem by designing, automating, and managing cloud-native infrastructure that supports scalable, secure, and efficient machine learning workflows.
Your collaboration with data scientists, ML engineers, and platform teams will ensure the seamless integration of new features into Unified Studio, with a focus on reliability, automation, and operational excellence.
Key Responsibilities:
- Design and implement cloud infrastructure to enhance SageMaker Unified Studio capabilities.
- Automate deployment pipelines using CI/CD tools such as CodePipeline, Jenkins, and GitHub Actions.
- Manage infrastructure as code (IaC) with Terraform or CloudFormation.
- Ensure scalability, security, and compliance of ML workloads in AWS.
- Monitor and optimize SageMaker Studio environments, including notebooks, pipelines, and endpoints.
- Collaborate with ML engineers to integrate new Unified Studio features into current workflows.
- Implement observability solutions like CloudWatch, Prometheus, and Grafana for proactive monitoring.
- Troubleshoot infrastructure and deployment issues in distributed ML systems.
- Promote DevOps best practices for automation, testing, and release management.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 3-5 years of experience in Infrastructure or DevOps roles.
- Strong proficiency in AWS services: SageMaker, EC2, S3, IAM, CloudFormation, Lambda, EKS.
- Hands-on experience with CI/CD pipelines and automation frameworks.
- Expertise in Terraform, CloudFormation, or Ansible.

