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. 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 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
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 $155,000 - $200,000, 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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