Lead Software Engineer

Job Description: We are seeking a highly skilled AI Platform Engineer with hands-on experience to design, develop, and maintain robust AI infrastructure. The ideal candidate will play a critical role in enhancing our AI capabilities by leveraging modern cloud technologies and practices.

Key Responsibilities

• Design and implement scalable AI platform solutions to support machine learning workflows.
• Experience building and delivering software using the Python programming language, exceptional ability in other programming languages will be considered.
• Demonstratable experience deploying the underlying infrastructure and tooling for running Machine Learning or Data Science at Scale using Infrastructure of Code.
• Experience using DevOps to enable automation strategies.
• Experience or awareness of MLOps practices and building pipelines to accelerate and automate machine learning will be looked upon favorably.
• Manage and optimize the deployment of applications on Amazon EKS (Elastic Kubernetes Service).
• Implement Infrastructure as Code using tools like Terraform or AWS CloudFormation.
• Provision and scale AI platforms such as Domino Data Labs, Databricks, or similar systems.
• Collaborate with cross-functional teams to integrate AI solutions into the AWS cloud infrastructure.
• Drive automation and develop DevOps pipelines using GitHub and GitHub Actions.
• Ensure high availability and reliability of AI platform services.
• Monitor and troubleshoot system performance, providing quick resolutions.
• Stay updated with the latest industry trends and advancements in AI and cloud technologies.

Experience working with GxP compliant life science systems will be looked upon favorably.

Qualifications

• Proven hands-on experience with Amazon EKS and AWS cloud services.
• Strong expertise in Infrastructure as Code with Terraform and AWS CloudFormation.
• Strong expertise with Python programming.
• Experience in provisioning and scaling AI platforms like Domino Data Labs, Databricks, or similar systems.
• Solid understanding of DevOps principles and experience with CI/CD tools like GitHub Actions.
• Familiarity with version control using Git and GitHub.
• Excellent problem-solving skills and the ability to work independently and in a team.
• Strong communication and collaboration skills.

• Experience building and delivering software using the Python programming language, exceptional ability in other programming languages will be considered.
• Demonstratable experience deploying the underlying infrastructure and tooling for running Machine Learning or Data Science at Scale using Infrastructure of Code.
• Experience using DevOps to enable automation strategies.
• Experience or awareness of MLOps practices and building pipelines to accelerate and automate machine learning will be looked upon favorably.
• Manage and optimize the deployment of applications on Amazon EKS (Elastic Kubernetes Service).
• Implement Infrastructure as Code using tools like Terraform or AWS CloudFormation.
• Provision and scale AI platforms such as Domino Data Labs, Databricks, or similar systems.
• Collaborate with cross-functional teams to integrate AI solutions into the AWS cloud infrastructure.
• Drive automation and develop DevOps pipelines using GitHub and GitHub Actions.
• Ensure high availability and reliability of AI platform services.
• Monitor and troubleshoot system performance, providing quick resolutions.
• Stay updated with the latest industry trends and advancements in AI and cloud technologies.

Experience working with GxP compliant life science systems will be looked upon favorably., * Proven hands-on experience with Amazon EKS and AWS cloud services.

• Strong expertise in Infrastructure as Code with Terraform and AWS CloudFormation.
• Strong expertise with Python programming.
• Experience in provisioning and scaling AI platforms like Domino Data Labs, Databricks, or similar systems.
• Solid understanding of DevOps principles and experience with CI/CD tools like GitHub Actions.
• Familiarity with version control using Git and GitHub.
• Excellent problem-solving skills and the ability to work independently and in a team.
• Strong communication and collaboration skills.