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As a DevOps Engineer in the KubeOps team, you'll specialize in Kubernetes infrastructure management and operations. You'll design, implement, and maintain our Kubernetes ecosystem at scale. In your day-to-day, you will:

Design, implement, and operate production-grade Kubernetes clusters on AWS

Architect and maintain highly available and resilient Kubernetes infrastructures

Manage infrastructure of Kubernetes from different flavors on top of AWS cloud at scale

Use your expertise in Linux and networking fundamentals to enhance system performance, security, and reliability

Implement and maintain Infrastructure as Code (IaC) practices to ensure consistency and efficiency in deployment processes

Troubleshoot and resolve complex issues related to cloud infrastructure and services

As a DevOps Engineer at Wix's Media Platform group, you'll manage and monitor our cloud-based environments, handling data for over 220 million users and 500 million web-sites. Your main objectives will be automating operations, maintaining production systems, managing scalable web applications, and implementing stringent security measures. In your day-to-day you will:

Build multi data-center architecture with hundreds of servers

Quickly identify and resolve infrastructural bugs

Get a chance to work with virtually all aspects of our rapidly-developing infrastructure

Drive the success of our systems advancements, cooperating with the development, support and QA teams

Leverage technologies like Kubernetes, GKE, Python or Golang, Linux, shell scripting, Github Actions, ArgoCD and Terraform to achieve goals

Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in todays digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more.

In 2021, we went public on the New York Stock Exchange, and we havent stopped growing since!

We are looking for a Senior Data Scientist to join our team and help advance our Apps solution. Our product is designed to provide detailed and accurate insights into Apps Analytics, such as traffic estimation, revenue analysis, and app characterization. The role involves designing and implementing statistical and ML algorithms within big data pipelines, while ensuring data robustness and efficiency. You will be expected to come up with creative solutions to problems related to time series, text analysis, estimation and classification. You will work closely with a diverse team of scientists, engineers, analysts, and collaborate with business and product stakeholders.

Key Responsibilities: Develop and implement complex, innovative big data ML algorithms for new features, working in collaboration with data engineers and analysts.
Participate in the design of our data products based on your knowledge of the data sources available.
Monitor and analyze data along the pipelines to ensure product quality and promptly resolve any issues that arise.