Data Platform Engineer - 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 Modern Platform 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 Modern Platform 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. …

Hey, this job isn't fresh anymore!

Search Fresh Jobs

Job Profile


North America


United States


Equity Flexible vacation policy Full medical, dental, vision package Medical, dental, vision package Pet discount plans Pet discount plans & retirement plan Retirement plan with company match


Alerting Systems Automation AWS CI/CD Cloud Computing Communication Data engineering Data Visualization Docker Go Helm Infrastructure as Code Kubernetes Machine Learning ML Ops Monitoring Problem-solving Python Terraform

  • Automate infrastructure and application deployments
  • Collaborate with team members
  • Design, deploy, and maintain cloud infrastructure on AWS
  • Develop and maintain CI/CD pipelines
  • Develop and maintain data pipelines for ML Ops
  • Monitor system performance
  • Optimize Kubernetes clusters
  • Stay informed about emerging technologies

2+ years in cloud computing on AWS, 1+ years in Kubernetes


Bachelor's degree Bachelor's degree in Computer Science Bachelor's degree in Computer Science or related field Master's Master's degree Master's degree in Computer Science or related field


AWS/Kubernetes certification Kubernetes Certification


America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9