we are looking for a Senior Backend Engineer GO.
As a Senior Software Engineer, youll design, develop, and deploy robust software systems across our platform. Youll have ownership of end-to-end projects, the autonomy to lead from idea to implementation, and the opportunity to work across product lines - from scalable APIs and secure infrastructure to machine learning.
The role also brings unique engineering challenges shaped by regulatory and compliance requirements - pushing your creativity and technical capabilities.
What Youll Actually Be Doing:
Design, build, test, and deploy backend systems for high-scale financial applications
Lead architecture reviews and drive decisions across technologies and platforms
Write well-tested code and review peers work for quality and clarity
Collaborate with Product, DevOps, and Security teams to deliver seamless experiences
Own and improve development lifecycles including CI/CD, observability, and cloud automation
Debug production issues and lead efforts to ensure system reliability and uptime
Contribute to internal documentation and onboarding processes
Participate in a Tier 2/3 on-call rotation to support business-critical systems

were looking for a highly skilled Full Stack Developer to join our engineering team. in this role, youll design, develop, and maintain both backend and frontend systems that power mobileyes production and internal applications. youll work across teams to deliver user-facing features end to end, building scalable, high-availability solutions that support production environments and future web-based platforms. what will your job look like?
design, develop, and maintain scalable backend services primarily using Node.js (and Python where applicable), applying modern web frameworks and industry best practices.
build rich, responsive user interfaces using React, angular, or vue.
develop end-to-end features, integrating frontend and backend components into cohesive, production-ready solutions.
design and manage databases (sql and nosql), focusing on performance, reliability, and solid data modeling.
support and enhance production applications, ensuring high availability, resilience, and smooth operation across environments.
build, containerize, and deploy applications using docker and kubernetes in Linux -based setups.
implement and maintain ci/cd pipelines using gitlab ci for automated testing, integration, and deployment.
work with aws services to deploy, monitor, and scale cloud-based applications.
contribute to system architecture, participate in code reviews, and mentor junior developers when needed.
collaborate closely with product, design, and cross-functional engineering teams to deliver high-quality user experiences.

As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.

Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stack-from Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads

you will be part of rem department, which is responsible for the automatic high-definition map-making process, a key technology in our autonomous driving and advanced driver-assistance systems. this process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and managing a complex system that requires both technical depth and strategic thinking. we are seeking a backend & data engineer to join our innovation team within our mapping division. this role is best suited for engineers with strong system -level thinking, a can-do approach, and a hands-on mindset, with the ability to design, build, and optimize complex systems operating at scale. what your job will look like:
develop and maintain backend and data -processing components in large-scale systems
design, implement, and optimize data pipelines and distributed processing flows
work with large-scale Storage systems (e.g., s3) and high-volume data access patterns
optimize systems and code across multiple layers - from architecture to implementation
identify performance bottlenecks, debug complex issues, and drive root-cause solutions
work across teams and domains, reading, improving, and refactoring existing code
take part in technical design and decision-making, balancing performance, scalability, and maintainability

as a senior integration & application Developer, you will be an integral part of the esc and integration team, responsible for designing, developing, implementing, and supporting enterprise-grade application integrations, while serving as a key technical authority within the team.
we are seeking a hands-on technical lead to lead the design and delivery of integrations using the iconduct platform as the primary integration solution. the role includes continuous development and enhancement of integrations across multiple application systems, driving technical excellence, best practices, and contributing to the teams overall execution and growth, without direct people management responsibilities.
what your job will look like?
serve as a hands-on application integration technical lead, designing, developing, and maintaining integrations, scripts, and automation across our growing ecosystem.
design and build a scalable integration architecture for enterprise information systems, and lead its end-to-end implementation.
collaborate closely with cross-functional teams to gather requirements and deliver integration solutions that improve daily workflows and operational efficiency.
actively participate in technical discussions and design reviews, defining best practices for building robust, secure, and maintainable integrations.
ensure the stability, integrity, and smooth operation of the companys integration architecture.
leverage ai-based tools and technologies to enhance automation, optimize integration processes, and improve overall system efficiency.
serve as a key technical authority within the team, providing guidance, mentorship, and technical leadership.

We are seeking an experienced Senior Data Platform Engineer to design and scale the robust, cost-efficient infrastructure powering our groundbreaking fraud prevention solution. In this role, you will architect distributed systems and cloud-native technologies to safeguard our clients' revenue while driving technical initiatives that align with business objectives and operational efficiency.

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

Infrastructure & FinOps: Design scalable, robust backend services while owning cloud cost management to ensure maximum resource efficiency.
High-Performance Engineering: Architect distributed systems and real-time pipelines capable of processing millions of daily transactions.
Operational Excellence: Champion Infrastructure-as-Code (IaC), security, and observability best practices across the R&D organization.
Leadership: Lead technical initiatives, mentor engineers, and drive cross-functional collaboration to solve complex infrastructure challenges.

our av group in jerusalem is looking for a senior Python Developer to join our growing infrastructure and genai efforts.
this role is focused on hands-on development of internal tools, automation frameworks, and genai-based pipelines that support development and validation activities across autonomous driving programs. you will work closely with technical leads and architects to implement scalable, high-quality solutions that improve engineering productivity and enable innovation. what will your job look like?
develop genai-based tools and pipelines (llm integrations, data preprocessing, automation workflows, evaluation utilities).
implement and maintain scalable internal tools and infrastructure components in Python.
build automation frameworks that improve development, testing, and ci/cd workflows.
develop backend services and utilities that support simulation, validation, and analytics processes.
collaborate with developers and team leaders to translate high-level designs into robust, production-ready systems.
improve reliability, performance, and maintainability of existing infrastructure tools.
contribute to engineering best practices, code quality, and technical standards within the team.

our software group is looking for an excellent experienced DevOps engineer to join the software infrastructure team.
our software infrastructure ci team is responsible for maintaining various ci flows and maintaining the high quality of the software and system products.
your expertise will contribute to our ongoing intensive development process while maintaining live production.
join us to make a difference in how the world drives! what will your job look like? design, implement, and maintain ci infrastructure and automation tools to support scalable development.
work hands-on with technologies such as jenkins, gitlab, kubernetes, Python, groovy, and bash.
collaborate with multiple engineering teams to understand their ci/cd needs and provide high-quality solutions.
lead technical improvements and proactively enhance system performance, scalability, and Developer productivity.
troubleshoot complex issues across infrastructure and code, and continuously drive innovation and process optimization.
help shape a structured, collaborative, and improvement-driven engineering culture.

we are a global leader in autonomous vehicle (av) technology, pioneering advanced driver-assistance systems (adas) and self-driving solutions. across the company, algorithm developers work at the forefront of av/adas innovation- designing and implementing perception, mapping, computer vision, and decision-making algorithms, typically in Python or C ++. at our company, algorithm developers join a variety of teams across a broad range of domains. this role serves as a central entry point, allowing us to match your expertise and aspirations with the team where you can make the greatest impact. algorithm developers at we contribute to diverse areas of innovation, including:
 detection: developing algorithms to identify and track road users, lanes, and other key elements of the driving environment in real time.
 object modeling: developing algorithms to identify, classify, and measure objects (general, unclassified, etc.), enabling precise scene understanding.
 geometry: developing algorithms to model road geometry, vehicle motion, and calibrations, providing essential spatial data that supports localization, 3d object placement, tracking, and other core perception tasks.
 mapping: developing algorithms to create high-definition maps from large-scale, crowd-sourced data to enable precise localization and navigation.
 3d perception & sensor fusion: designing algorithms for 3d reconstruction and multi-sensor reasoning to accurately model and understand the driving environment. what will your job look like?
your job will include a combination of algorithm development and programming in Python and C ++.
work with image-based data, focusing on extracting and representing spatial information accurately and efficiently.
take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment.
collaborate closely with engineering and research teams in computer vision, data engineering, and related fields to deliver real-world solutions.