דרושים AT&T

Our team oversees numerous business KPIs and employs cutting-edge tools and strategies.

We take responsibility for the entire process, from Event definition and data engineering (including some ML) to visualization tools.

Responsibilities:

Product-analysis activity for an application that serve millions of users
Analyze and explore through large complex data sets representing key business drivers, trends and operational metrics
Collaborate with data engineers to aggregate and clean large data sets in use
Conceptualize, create, automate and maintain dashboards for tracking key metrics and experiments
Proactively provide meaningful insights and actionable recommendations that drive decision

We are looking for a passionate Software Solution Architect experienced in cloud-native applications. With our amazing team, you will work on unique apps and design complex cloud-based cloud-native cutting-edge software solutions, providing added value to AT&T and its customers in all business domains.

Why work with us?

AT&T Israel R&D Center, with its 600+ employees, is the largest center outside the US, yet has the heart of a startup. The products youll work on here will influence the daily lives of millions of users in the US, and youll be working with many people from different backgrounds in a result-driven innovative environment.

Our employees are encouraged to pursue professional and personal excellence. We have numerous learning and self-development programs, combined with diverse volunteering opportunities throughout the year. Working at the AT&T Israel R&D Center, you'll have a unique opportunity to make a real impact in the world.

AT&T R&D Center Israel is looking for an exceptional and passionate Front-End Developer to join our team. The developer will be part of a dynamic team that develops cloud-based applications serving millions of customers globally. This role involves designing and implementing user-facing features for our web applications, ensuring a seamless and enjoyable user experience.

Responsibilities:

Developing and implementing highly-responsive user interface components using React concepts or other JavaScript frameworks
Translating designs and wireframes into high-quality code
Optimizing components for maximum performance across a vast array of web-capable devices and browsers
Collaborating with back-end developers and web designers to improve usability
Seeing through a project from conception to finished product
Collaborating with a team of skilled developers to develop high-traffic, cloud-based applications
Participating in code reviews to maintain code quality and sharing best practices with the team

TeamUp is building a big-data SW intelligence platform that turns data generated throughout the SW development lifecycle (code, user stories, pipelines, scanning tools) into insights and optimization tools to help 1000+ R&D teams in AT&T continuously improve while developing products for dozens of millions of customers to use.

The other domain focuses on AT&T Security Platform, which helps engineering leaders and managers to prepare for the post-quantum era. This security big-data software platform will conduct daily security scans on thousands of applications and tools, providing actionable insights and defining the next steps to ensure robust security in a post-quantum world.

We are seeking an experienced Data Engineer to join our dynamic research team.

This role provides the unique opportunity to manage the entire data lifecycle, from extraction to visualization using external tools. You will also employ data science methodologies to analyze, classify, and explore data. This position offers a rare chance to delve deeply into both data engineering and data science.

Responsibilities:
Design, implement, and maintain the complete data flow, from extraction to visualization using external tools.
Work within a product team where solutions are collaboratively proposed. You will be expected to translate requirements into technical designs and implement them as part of large-scale data engineering solutions.
Utilize various Machine Learning models to explore data, collaborating with cutting-edge big data tools and techniques.
Collaborate with R&D, architects, data scientists, analysts, Projects Managers and DevOps in order to deliver the right solution