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Software Engineer- Infrastructure at Taboola · Trevo
Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in Taiwan!
As a Software Engineer on the Production Engineering team in our Infrastructure R&D Department, you’ll play a vital role in building and scaling the core platform behind one of the largest real-time recommendation systems in the world!
1.4 billion users. 950,000 requests per second. 140TB of fresh data every day. 800M metrics every minute.
You’ll join a team of strong engineers operating at this scale, with full ownership from design to production.
You’ll have the freedom to move fast, solve complex infrastructure challenges, and help drive what comes next.
What you'll do
Experience developing large scale distributed systems and solid understanding of production system infrastructure
Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures, and concurrent/multi-threaded programming
5+ years programming experience in Java or equivalent Object-Oriented language
Proven ability to work effectively across multiple teams
B.Sc in computer science or equivalent experience
The people who wrote the first lines of code in Taboola (and many many more lines after that)
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 an offheap, zero GC, Custom Kafka Producer which cumulatively sends ~100B messages / day
Why Taboola?
If you ask Taboolars what they love about working here, they'll tell you that they've been empowered to realize their full potential while growing and learning from and with smart and talented people. They'll also share more about:
Adam Singolda, Taboola Founder and CEO says; "You can copy anything from another business but you can't copy a company's culture.
Well-being: Enjoy comprehensive benefits, a fully stocked kitchen, and location-specific perks.
Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.
Ready to realize your potential?
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.
Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.
About Taboola
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola's powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola's technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.
#LI-Hybrid
#LI-MT1
Nice to have
Experience in Big Data tools
Knowledge in algorithms, data-mining and machine learning
How you'll make an impact:
As a Production engineering team member, you’ll bring value by:
Have end to end ownership: Design, develop, deploy, measure and maintain our services
Build and evolve one of the world's largest real-time systems, including Taboola's core framework code, used across R&D
Improve observability, monitoring, and logging to proactively detect and resolve performance issues.
Leverage Gen-AI tools to accelerate development velocity across the R&D organization, enabling further growth of Taboola’s recommendation engine
Collaborate with the brightest software engineers team members
Directly shape how 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%
Developed internal smart and adaptable cluster management capabilities to allow dynamic resources allocation for heterogeneous traffic patterns
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
Rolled out a new custom home-built Taboola authentication service