Cloud Infrastructure Engineer (Data Platforms)

Denver, CO - Remote

Angi® is transforming the home services industry, creating an environment for homeowners, service professionals and employees to feel right at “home.” For most home maintenance needs, our platform makes it easier than ever to find a qualified service professional for indoor and outdoor jobs, home renovations (or anything in between!). We are on a mission to become the home for everything home by helping small businesses thrive and providing solutions to financing and booking home jobs with just a few clicks.  

Over the last 25 years we have opened our doors to a network of over 200K service professionals and helped over 150 million homeowners love where they live. We believe home is the most important place on earth and are embarking on a journey to redefine how people care for their homes. Angi is an amazing place to build your dream career, join us—we cannot wait to welcome you home!

About the team

We are seeking a highly skilled Cloud Infrastructure Engineer with expertise in Cloud Computing on AWS, running workloads in Kubernetes, and a focus on ML Ops and other Data Engineering workloads. This is a challenging and exciting opportunity for a highly motivated and skilled Cloud Infrastructure Engineer to join our team and work on cutting-edge technologies as we build self-serving data platforms. The ideal candidate will have a solid foundation in cloud infrastructure, containerization, and automation, as well as experience in designing, deploying, and maintaining complex systems. Additionally, proficiency in data engineering, machine learning, and data pipelines will be essential for success in this role. If you are passionate about cloud computing, Kubernetes, and ML Ops or other data engineering workloads, we encourage you to apply.

What you’ll do

  • Assist in designing, deploying, and maintaining cloud infrastructure on AWS
  • Contribute to the management and optimization of Kubernetes clusters for running workloads
  • Participate in the development and maintenance of CI/CD pipelines for deploying applications
  • Contribute to the development and maintenance of data pipelines for ML Ops or other data engineering workloads
  • Collaborate with senior engineers, data scientists, and engineers to support the design and deployment of ML models
  • Assist in monitoring and troubleshooting system performance and availability
  • Contribute to the automation of infrastructure and application deployments
  • Stay informed about emerging technologies and industry trends

Who you are

  • Bachelor's degree in Computer Science or related field
  • 2+ years of experience in cloud computing on AWS
  • 1+ years of …
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