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Maxim Magaziner on building faster, more reliable engineering teams

Posted on September 7, 2026 By Emily Chen No Comments on Maxim Magaziner on building faster, more reliable engineering teams

Maxim Magaziner on Building Faster, More Reliable Engineering Teams

September 7, 2026 – 9:11 am

By Maxim Magaziner, Staff Software Engineer at Taboola

TL;DR

Maxim Magaziner, a Staff Software Engineer at Taboola, argues for sustainable engineering velocity through reducing uncertainty early, maintaining CI/CD stability, and viewing AI as a tool to accelerate delivery without compromising architecture, testing, or maintainability.

Software teams face constant pressure to move faster. Advancements in development tools, testing frameworks, and deployment systems have shortened the time between an idea and a working product. However, faster delivery also raises the stakes. When architecture, testing, and maintainability are overlooked, short-term gains can lead to long-term issues.

Maxim Magaziner’s work addresses this challenge. As a Staff Software Engineer and Tech Lead at Taboola in Los Angeles, Magaziner has spent over a decade working across ad tech, performance marketing, recommendation systems, fintech, browser-extension monetization, and mobile and web development.

During his nine-plus years at Taboola, his role has evolved from hands-on engineering to architecture, cross-team delivery, developer productivity, mentoring, and technical leadership.

From Curiosity to Software Engineering

Magaziner’s interest in engineering began with a curiosity about technology. As a child, he was fascinated by understanding how systems worked and why they behaved as they did. Software engineering became a natural fit because it combined problem-solving, continuous learning, and the chance to build products people could use.

He earned a B.S. in Computer Software Engineering from SCE College of Engineering, where he received the Software Department’s Best Final Project Award.

Building Experience Across Different Products

Before joining Taboola, Magaziner held full-stack and senior development roles at NGSoft, PLAYWISE, and ParagonEX. His work encompassed responsive mobile applications for banking customers, browser-extension monetization frameworks, financial technology, and advertising products.

He also co-founded BumbleAd, a browser-extension monetization platform, where he led product and engineering from concept to commercial activity. This experience shaped a practical approach to software development. For Magaziner, technical decisions are most valuable when they support product needs and contribute to business objectives.

Growing into Technical Leadership at Taboola

At Taboola, Magaziner started as a Senior Software Engineer in Israel before ascending to his current role as Staff Software Engineer and Tech Lead. His work has included advertiser-facing systems, frontend architecture, full-stack product delivery, deployment coordination, and technical initiatives involving distributed teams.

Among the products he has contributed to are Taboola Realize and Abby, Taboola’s generative AI assistant for advertisers. Magaziner played a role in Abby’s development and launch, supporting a conversational experience designed to simplify campaign creation.

His work on Realize involved frontend architecture, deployment coordination, and cross-team execution with developers, product managers, designers, data teams, and leadership.

Making Engineering Velocity Sustainable

A recurring challenge in Magaziner’s career has been balancing delivery speed with long-term stability. Major projects often begin with incomplete requirements, leading to rework and delays. To address this, he emphasizes:

  • Reducing uncertainty early: Establishing clear requirements and understanding trade-offs from the start can prevent later surprises.
  • Maintaining CI/CD stability: Consistent and reliable continuous integration and continuous deployment pipelines are crucial for sustainable velocity.
  • Treating AI as a tool: Leveraging AI to accelerate delivery without compromising architecture, testing, or maintainability.
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