Software Engineer – Tools & Services

Job not on LinkedIn

October 10

Apply Now
Logo of Basis Technologies

Basis Technologies

Advertising • SaaS • Artificial Intelligence

Basis Technologies is a company focused on streamlining and innovating the digital advertising industry. They offer a comprehensive platform that integrates and automates various aspects of digital advertising, including demand-side platforms (DSP), cross-device targeting, brand safety, fraud protection, and private marketplaces. The platform is designed to reduce operational complexity and manual effort by consolidating disparate systems and automating workflows. Basis Technologies also provides services such as media strategy, activation, consulting, and onboarding, along with education programs through their AdTech Academy. They emphasize efficiency, productivity, and collaboration within advertising operations, catering to enterprises looking for effective programmatic advertising solutions.

501 - 1000 employees

☁️ SaaS

🤖 Artificial Intelligence

💰 $25M Private Equity Round on 2021-04

📋 Description

• Delivering timely results based on team's deadlines. • Designing clear, maintainable and scalable testing projects • Maintaining transparency and clarity about project testing through documentation and communication with stakeholders • Performing meaningful code reviews • Researching new technologies and their potential benefit to our projects • Being responsible for design and execution of a complex automated testing solutions for our data ecosystem • Delivering optimized code and deal with interesting scalability challenges • Being the voice of quality in highly collaborative agile product teams. • Making sure that each deployment to production is of highest quality

🎯 Requirements

• Strong grasp of computer science fundamentals — algorithms, data structures, and distributed systems • Hands-on experience with Java for backend and service-layer development, including multithreading, parallel processing, and data-intensive workflows • Familiarity with Python • Understanding of big data ecosystems (Snowflake, Snowpark, Airflow, etc.) and data quality validation at scale • Demonstrated ownership and accountability — you take initiative, follow through, and care deeply about reliability and correctness • Commitment to continuous learning, staying current with emerging tools, frameworks, and best practices in data engineering and testing • Dedication to building inclusive, respectful, and collaborative environments where diverse perspectives strengthen design and decision-making

🏖️ Benefits

• flexible work week • 401k/RRSP matching • mental health support • paid sabbaticals • generous parental leave • flexible work options

Apply Now

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