Senior Software Engineer (Core Team)

TL;DR

Senior Software Engineer (Core Team): Developing high-performance advertising analytics systems that measure digital ad exposure and engagement with an accent on scalable data streaming and cloud-native architecture. Focus on designing robust microservices using Scala, Python, and TypeScript to process massive data volumes and generate actionable insights.

Location: Must be based in Tel Aviv, Israel

Company

hirify.global is a leading digital performance solutions provider that delivers unbiased data and analytics to help global brands and agencies improve the quality and effectiveness of their digital advertising.

What you will do

• Design and implement cloud-native solutions using Kafka, Kubernetes, and Databricks.
• Develop and maintain high-traffic backend services using Scala, Python, and TypeScript.
• Build and manage CI/CD pipelines to ensure robust cloud delivery.
• Scale big data solutions and optimize codebases for high-traffic environments.
• Own end-to-end service health, including real-time monitoring and alerting.
• Leverage AI coding tools to accelerate development and improve productivity across the SDLC.

Requirements

• Must be based in or able to work from Tel Aviv, Israel.
• BSc in Computer Science or equivalent degree.
• 5+ years of professional experience in Scala, Java, Python, or Go.
• Strong proficiency with Docker, Kubernetes, SQL, and cloud platforms (GCP or AWS).
• Proactive ownership and a strong problem-solving mindset.
• Experience with AI coding tools (e.g., Cursor, Claude) as a productivity multiplier.

Nice to have

• Professional experience with JavaScript or TypeScript.

Culture & Benefits

• Work on large-scale systems impacting global Fortune 500 companies.
• Collaborative environment focused on modern engineering practices.
• Emphasis on practical problem-solving and effective use of modern AI tooling.
• Opportunity to work with high-traffic data pipelines and advanced cloud technologies.

Hiring process

• Technical assessments that encourage the use of AI tools to evaluate problem-solving and code quality.
• Focus on real-world engineering capabilities rather than memorized algorithmic puzzles.