Lead Software Engineer

Virtusa; Valencia; On-site; EUR 55,000 - 85,000; Full time

Job summary

Virtusa in Valencia, Spain seeks an experienced AI Platform Engineer to design, build and maintain scalable AI infrastructure. The role focuses on Python development, IaC with Terraform and CloudFormation, and deploying on AWS EKS with CI/CD pipelines.

You will collaborate across teams to integrate AI solutions into cloud systems, drive automation, and ensure high availability of AI services while staying current with AI and cloud technologies.

Qualifications

• 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 provisioning and scaling AI platforms like Domino Data Labs or Databricks.
• Solid understanding of DevOps and CI/CD tooling such as GitHub Actions.
• Familiarity with Git/GitHub version control.
• Excellent problem-solving and teamwork abilities.
• Clear communication and collaboration skills.

Responsibilities

• Design and implement scalable AI platform solutions for ML workflows.
• Build and deliver software using Python; other languages welcome.
• Deploy infrastructure and tooling for ML at scale using IaC.
• Enable automation strategies with DevOps practices.
• Apply MLOps concepts to accelerate pipelines and automation.
• Manage deployment on AWS EKS and cloud infrastructure.
• Implement IaC with Terraform or CloudFormation.
• Scale AI platforms such as Domino Databricks or similar systems.
• Collaborate across teams to integrate AI into AWS environments.
• Develop DevOps pipelines using GitHub and GitHub Actions.
• Ensure high availability and monitor system performance.

Skills

Python programming

DevOps

Git/GitHub

Team collaboration

Problem solving

Tools

Amazon EKS

Terraform

AWS CloudFormation

Databricks

GitHub Actions

Domino Data Labs

Job description

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.