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Senior Data Platform Engineer

Denver, CO, 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 Senior 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. The ideal candidate will have a deep understanding of cloud infrastructure, containerization, and automation, as well as experience in designing, deploying, and maintaining complex systems. The candidate should also have experience in data engineering, machine learning, and data pipelines. 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

Design, deploy, and maintain cloud infrastructure for data platforms on AWS

Develop and maintain Kubernetes clusters for running workloads

Build and maintain CI/CD pipelines for deploying applications

Develop and maintain data pipelines for ML Ops or other data engineering workloads

Collaborate with data scientists and engineers to design and deploy ML models

Monitor and troubleshoot system performance and availability

Automate infrastructure and application deployments

Stay up-to-date with emerging technologies and industry trends

Who you are

Bachelor's degree in Computer Science or related field

5+ years of experience in cloud computing on AWS

3+ years of experience in Kubernetes and container orchestration

Previous experience building data platforms highly preferred

Experience in ML Ops or other data engineering workloads

Experience in data engineering, machine learning, and data pipelines

Strong programming skills in Python, Java, or Go

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 certification

Kubernetes certification

Experience in Terraform, Helm, or other infrastructure as code tools

Experience in Docker or other containerization technologies

Experience in data visualization and dashboarding tools

Experience with big data technologies (Hadoop, Spark)

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 $160,000 - $185,000, 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

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