Backend Engineer
Herzliya
We are known for our massive backend production. At any given moment, thousands of servers are consuming 150+ billion mobile app events, crunching our users data, serving requests and communicating on a massive scale.
To maintain the universe we practice modern production operations with a complete self-serve CI/CD platform, highly integrated observability stack for our micro-services, backends and infrastructure, a culture of ownership and eagerness for quality.
The Analytics group is responsible for showing our clients the stories their data is telling. Through complex aggregation, mission tailored analytics databases and carefully crafted APIs we are able to provide slice and dice analysis in our beautiful dashboards and through the use of external integrations.
Our group mixes disciplines from back-end, data, AI and front-end engineers and were looking for great back-end developers that are passionate about what they do, who want to dive into the worlds of big data, microservices and production management at our scale, to help us reach our vision and goal: to be the best analytics suite in our business market.
What you'll do
Develop end-to-end both client facing and data infrastructure features from data processing to database choice and modeling implementation
Collaborate with product managers and software engineers to deliver complex products.
Analyze and improve performance, scalability and stability of our systems, environments and tools.
If you're up to the challenge - Speak at meetups, write blog posts, speak at conferences, contribute to existing open source projects and release new open source software.
Requirements: 3+ years of development experience with a passion for excellence
Strong server-side skills.
Experience with large-scale production databases
Experience with high throughput, low latency, mission-critical distributed systems
Appreciation for best practices and an itch to raise and act on ideas for improvement
A get-things-done approach.
B.Sc. in Computer Sciences or an equivalent.
Bonus Points
Experience production grade Spark pipelines, BigQuery.
Experience with production grade GO BE services.
Ability to form strong mental models of complex data serving stacks.
An AI mindset: stays up to date with the AI landscape, explores tools like Cursor or GitHub Copilot, and looks for ways to boost productivity through AI
Recommended by an employee.
This position is open to all candidates.