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Data Platform Engineer

Seattle, WA, United States

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.

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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 experience in Kubernetes and container orchestration

Exposure to ML Ops or other data engineering workloads

Experience building or maintaining data or ML deployment pipelines in a cloud environment

Proficiency in object oriented design principles (Python and Go preferred)

Basic experience in automation and infrastructure as code

Strong problem-solving skills and attention to detail

Excellent communication and collaboration skills

Strong understanding of complex distributed systems

Experience with monitoring and alerting systems

Preferred Qualifications

Master's degree in Computer Science or related field

AWS/Kubernetes certification (preferred but not required)

Experience using Terraform, Docker or other containerization technologies, Helm, data visualization and dashboarding tools, or other infrastructure as code tools

We value diversity

We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.

Compensation & Benefits

The salary band for this position ranges from $110,000 - $175,000, commensurate with experience and performance. Compensation may vary based on factors such as cost of living

This position will be eligible for a competitive year end performance bonus & equity package

Full medical, dental, vision package to fit your needs

Flexible vacation policy; work hard and take time when you need it

Pet discount plans & retirement plan with company match (401K)

The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world

#LI-Remote

Apply

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