Curious about what it’s like to work at the world’s number 1 discovery platform as a Software Engineer Team Lead in the Infrastructure Engineering R&D group? We’re glad you asked!

Taboola, the world’s largest content recommendation platform, is hiring an expert software developer for a Team Lead position in the Infrastructure Engineering R&D group.

At Taboola, we currently work in a hybrid work model giving employees the flexibility to work from home a few days a week. We have offices in Ramat Gan and Beer Sheva and are looking to grow to additional locations in Taipei Taiwan, where our Taboolars have the opportunity to meet their teammates, connect with other teams and socialize with friends.

What are some of the things you do on a day-to-day basis?

In this job you will:

• Develop one of the largest real time high scale operation in the world to support over 1.4B users, >500,000 requests / second, 100TB of new data every day
• Have end to end ownership: Design, develop, deploy, measure and maintain our services
• Solve production issues in the framework code
• Collaborate with the brightest software engineers team members
• Influence directly on the way billions of people discover the internet

Here are some of the things software devs in our group did in the last several months:

• Rewrote part of our recommendation servers to reduce serving time p999 by >40%
• Rolled out custom Cassandra compaction strategy
• Created and improved Taboola’s Kafka consumer designed for very high scale
• Developed a brand new Taboola metrics pipeline, ingesting over 100B metric messages per day
• Anomaly detection engine for application metrics
• Rolled out a new custom home-built Taboola authentication service
• Many more things...

Our Tech Stack:

Java, Spark, Kafka, Hadoop, Cassandra, Vertica, MySQL, HDFS, BigQuery, Docker, Linux, Kubernetes, Prometheus, Metrictank, Grafana, Airflow, Redis

You will work with:

• The people who wrote the first lines of code in Taboola (and many many more lines after that)
• The proud owner of a beer brewery
• People who are deeply familiar with the code of Kafka, Cassandra, AirFlow, Prometheus and Spark (including committing back)
• Famous internal Taboola hackathon winners
• The designers and implementers of a offheap, zero GC, Custom Kafka Producer which cumulatively sends ~100B messages / day

Why Taboola?

• Taboola is the world’s leading recommendation platform reaching over 500 million daily active users. We’re growing rapidly, and have recently gone public on the NASDAQ.
• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.”
• If you ask our employees what they love about Taboola they will tell you that here, they are able to discover their best professional selves, explore where they can grow to, and learn from and together with smart and talented people.
• At Taboola, we pride ourselves in making an impact on how people consume content across the world, a culture of transparency, passion, and a diverse, inclusive and friendly work environment.
• You can get to know us more by visiting our company website, careers site, Taboola Life blog and social media channels; Facebook, Instagram, Twitter and LinkedIn

Want to learn more about us, you’re welcome to watch the latest News article about Taboola

Sounds good, how do I apply?

It’s easy, submit your CV by clicking the “Apply” button below.

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

About you:

• 2+ years experience managing a team
• 5+ years programming experience in Java or equivalent Object-Oriented language
• Experience developing large scale distributed systems
• Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures systems, applications programming and multi threading programming
• Production systems understanding
• Experience with SQL and No-SQL
• Highly Proficient in Linux environment
• Proven ability to work effectively across multiple teams
• BS.c in computer science or equivalent experience

Nice to have:

• Experience in Big Data tools
• Knowledge in algorithms, data-mining and machine learning