Senior DevOps Engineer

Factored was conceived in Palo Alto, California by Andrew Ng and a team of highly experienced AI researchers, educators, and engineers to help address the significant shortage of qualified AI & Machine-Learning engineers globally. ​We know that exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed around the world, and we are very committed to testing, vetting, and nurturing the most talented engineers for our program and on behalf of our clients.

We are seeking an experienced Senior DevOps Engineer with 6+ years of experience, specializing in DevOps with a strong focus on MLOps workflows. This role will be responsible for deploying, managing, and optimizing machine learning models and AI-driven applications in production environments. You will work alongside a talented team of engineers to solve complex infrastructure challenges and ensure the smooth operation of AI technologies in scalable systems.

Functional Responsibilities:

• Design, deploy, and manage AI/ML infrastructure across cloud platforms such as AWS, Azure, or GCP.
• Optimize deployment and operation of machine learning models in production, ensuring smooth integration into scalable systems.
• Lead the implementation and management of DevOps tools such as Terraform, GitHub Actions, and CI/CD pipelines.
• Manage cloud-based storage systems like AWS S3, AWS RDS, or similar.
• Deploy and manage applications in serverless environments like AWS Fargate, AWS Lambda, or similar.
• Create and maintain automation workflows using shell scripting and Python for efficient operations.
• Collaborate with both development and operations teams to integrate AI technologies and optimize production pipelines.
• Ensure the infrastructure is secure, stable, and scalable for AI-driven solutions.
• Stay up-to-date with the latest DevOps and MLOps best practices to continuously improve deployment processes.

Qualifications:

• 6+ years of DevOps experience, with a strong understanding of deploying and maintaining machine learning models in cloud environments.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP, with a focus on deploying and managing AI/ML infrastructure.
• Proficient in DevOps tools such as Terraform, GitHub Actions, and CI/CD practices.
• Experience managing cloud-based storage systems like AWS S3, AWS RDS, or similar.
• Previous exposure to deploying applications in serverless environments like AWS Fargate, AWS Lambda, or similar.
• Strong shell scripting skills and Python experience for automation and workflow management.
• Understanding of machine learning workflows, including the deployment and maintenance of models in production (MLOps exposure is a plus, but not required).
• Excellent English communication skills, with the ability to work cross-functionally between development and operations teams.

At Factored, we believe that passionate, smart people expect honesty and transparency, as well as the freedom to do the best work of their lives while learning and growing as much as possible. Great people enjoy working with other passionate, smart people, so we believe in hiring right, and are very selective about who joins our team. Once we hire you, we will invest in you and support your career and professional growth in many meaningful ways. We hire people who are supremely intelligent and talented, but we recognize that intelligence is not enough. Perhaps more importantly, we look for those who are also passionate about our mission and are honest, diligent, collaborative, kind to others, and fun to be around. Life is too short to work with people who don’t inspire you.     We are a transparent workplace, where EVERYBODY has a voice in building OUR company, and where learning and growth are available to everyone based on their merits, not just on stamps on their resume. As impressive as some of the stamps on our resumes are, we recognize that human talent and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results. All of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing. We recognize that we are creating OUR COMPANY TOGETHER, which is not only a high-performing fast-growing business but is changing the way the world perceives the quality of technical talent in Latin America. We are fueled by the great positive impact we are making in the places where we do business and are committed to accelerating careers and investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts.    In short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission.  When not nerding out on data science, we love to make music together, play sports, play games, dance salsa, cook delicious food, brew the best coffee, throw the best parties, and generally have a great time with each other.