Data Platform Engineer
New York - 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.
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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Dental Equity Equity Package Flexible vacation policy Full medical, dental, vision package Medical Medical, dental, vision package Performance bonus Pet discount plans Pet discount plans & retirement plan Pet discount plans & retirement plan with company match Retirement plan Retirement plan with company match Vision
Tasks- Collaboration
- Develop and maintain CI/CD pipelines
Automation AWS CI/CD CI/CD pipelines Cloud Computing Collaboration Communication Computer Data engineering Data Visualization Distributed Systems Docker Go Helm Infrastructure as Code Kubernetes Machine Learning ML Ops Monitoring Problem-solving Python Terraform Troubleshooting
Experience2+ years
EducationBachelor's Bachelor's degree Bachelor's degree in Computer Science Bachelor's degree in Computer Science or related field Computer Science Engineering Master's Master's degree Master's degree in Computer Science or related field
TimezonesAmerica/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