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Mid LevelFull-timeAWSAzureKubernetesDockerTerraformMachine LearningCI/CDGitAIML
Salary Range
$76,500 - $103,500 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We're looking for a Platform Engineer to build the backbone of applied artificial intelligence for our customers. You will design, build, and deploy robust, secure, and scalable cloud infrastructure that powers cutting-edge data and machine learning workflows.
Key Responsibilities
- →Building robust, secure, and scalable cloud infrastructure for AI and ML workflows
- →Partnering with technical and non-technical stakeholders from initial idea generation through to implementation and shipping
- →Enabling Machine Learning Engineers and Data Scientists by contributing to internal best practices, standards, and reusable code repos
- →Proactively identifying and recommending new ways customers can leverage cloud infrastructure to solve their key challenges
- →Creating and maintaining reusable, company-wide libraries and infrastructure-as-code
- →Researching and integrating the best open-source technologies to enhance Faculty's infrastructure capabilities
Requirements
- ✓Pragmatic and outcome-focused approach to executing complex projects
- ✓Scientific thinking with a focus on testing assumptions and seeking evidence
- ✓Drive to learn and explore new technologies and novel applications
- ✓Deep experience with both Azure and AWS as well as Infrastructure as Code, especially Terraform
- ✓Experience in building and deploying containerized solutions using Docker and Kubernetes
- ✓Strong CI/CD and GitOps practices
- ✓Proficient knowledge of Networking and Cloud Security
- ✓Ability to work directly with clients and stakeholders, handling requirements gathering, technical planning, and scoping
Free to sign up. Takes 30 seconds.
