לוח משרות דרושים מתכנת backend

We're in search of an exceptional Backend Engineering Team Leader, someone with a wealth of hands-on software engineering expertise. As part of our core product team, you'll be at the forefront of crafting a groundbreaking solution that leverages cutting-edge technology to combat fraud. Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud.

Take a leading role in the team of talented engineers, share your experience and demonstrate your expertise building our market-leading product
Design and implement the infrastructure of the system including the ingestion, algorithms, performance optimizations, and interactive applications
Build a highly scalable data platform for diversified and complex data flows
Have end-to-end ownership: Design, build, ship, measure, and maintain our backend services. You build it - you own it
Work closely with our fantastic Product team that created an industry-leading SaaS Product-Led-Growth offering
Join us in building a professional, fun company and engineering culture with the highest standard.

We're in search of an exceptional Senior Backend Engineer, someone with a wealth of hands-on software engineering expertise. As part of our core product team, you'll be at the forefront of crafting a groundbreaking solution that leverages cutting-edge technology to combat fraud. Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud.

Your Arena

Take a senior role in the team of talented engineers, share your experience and demonstrate your expertise building our market-leading product
Design and implement the infrastructure of the system including the ingestion, algorithms, performance optimizations, and interactive applications
Build a highly scalable data platform for diversified and complex data flows
Have end-to-end ownership: Design, build, ship, measure, and maintain our backend services. You build it - you own it
Work closely with our fantastic Product team that created an industry-leading SaaS Product-Led-Growth offering
Join us in building a professional, fun company and engineering culture with the highest standard.

We're on a mission to redefine vehicle safety and reliability globally. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, which represents the pinnacle of Machine Learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, we stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply Embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We seek an experienced technical leader to lead our MLOps Engineering team leader In this role, you will lead a team of developers and build and maintain our Machine Learning infrastructure and deployment pipelines. This role combines technical expertise in Machine Learning operations with strong leadership abilities to guide our team of engineers in delivering scalable ML solutions.
A day in the life and how youll make an impact:
* Build, recruit, and lead a team of backend engineers.
* Architect and implement enterprise-scale MLOps infrastructure
* Code ML Infrastructure & Framework for Agile ML Lifecycle, MLOps, and CI/CD.
* Design and optimize model-serving architectures
* Ensure high availability and scalability of ML systems
* Collaborate with Algorithm Engineers to deliver innovative solutions.
* Partner with product teams to align ML solutions with business objectives
* Communicate technical plans and progress to stakeholders
* Establish and enforce MLOps standards and best practices