דרושים » מחשבים ורשתות » On-Prem Backend Engineer (Network Oriented)

We are looking for a highly skilled and versatile Backend Engineer to join our development team. As a Backend Engineer, you will be responsible for designing, developing, and maintaining the backend infrastructure and components of our platform. As part of your role, you will also work on the frontend aspects of our platform and collaborate with stakeholders and cross-functional teams to optimize full-cycle system performance
Responsibilities:
Design, develop, and maintain backend systems and APIs to support our web applications
Implement and optimize data storage solutions, including databases, to ensure efficient and reliable data management
work closely with front-end developers to integrate backend functionalities and ensure a seamless user experience
Collaborate with product managers, stakeholders, and cross-functional teams to gather requirements, translate them into technical specifications, troubleshoot and resolve backend-related issues, and optimize system performance

We are looking for a highly skilled and versatile Senior Backend Engineer to join our development team. As a Senior Backend Engineer, you will be responsible for designing, developing, and maintaining the backend infrastructure and components of our platform. As part of your role, you will also work on the frontend aspects of our platform and collaborate with stakeholders and cross-functional teams to optimize full-cycle system performance.
Responsibilities:
Design, develop, and maintain backend systems and APIs to support our web applications.
Implement and optimize data storage solutions, including databases, to ensure efficient and reliable data management.
work closely with front-end developers to integrate backend functionalities and ensure a seamless user experience.
Collaborate with product managers, stakeholders, and cross-functional teams to gather requirements, translate them into technical specifications, troubleshoot and resolve backend-related issues, and optimize system performance.

We are looking for a highly skilled and versatile Backend Engineer to join our development team. As a Backend Developer, you will be responsible for designing, developing, and maintaining the infrastructure and components of our platform. As part of your role, you will work on the backend aspects of our platform and collaborate with stakeholders and cross-functional teams to optimize full-cycle system performance.
Responsibilities:
Develop and maintain code deployed on the cloud side and on Linux.
Collaborate with cross-functional teams to achieve project goals.
Implement high-performance applications with high coverage, maintaining minimal footprint ensuring code is maintainable.
Troubleshoot and resolve complex technical issues related to Linux internals.

we are looking for a Solution Engineer.
The Demand Forecasting team is at a pivotal, high-growth stage. This role is highly dynamic, requiring a blend of technical depth and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.
Responsibilities:
Lead and support customer-facing Demand Forecasting use cases from discovery through deployment
Work hands-on with customer data to design, test, and validate forecasting solutions
Act as a trusted analytical and technical advisor to customers, deeply understanding their business context and datasets
Analyze and explain model outputs and complex analytical concepts in a clear, business-oriented way
Troubleshoot technical and data-related challenges and drive them to resolution
Collaborate closely with Data Science and Customer Success teams, providing structured feedback from customer use cases
Help customers achieve measurable business impact and adoption of Demand Forecasting module

Hands-on software engineering for our cutting-edge missile interceptor system. You'll develop and integrate components across the software stack, either on the Embedded / flight side (RTOS, low-latency sensor and comm code on the interceptor) or on the ground station / Command & Control side (distributed services for mission monitoring, threat evaluation, and visualization). You'll work under the Software Group Lead's architectural direction, with deep ownership of the modules you ship. We are looking for a "builder" mentality, someone who drives end-to-end delivery from concept to field deployment, and who treats AI coding tools as a force multiplier rather than a curiosity.
Why Join us?:
This is a unique opportunity to be at the heart of a defense-tech startup during its most exciting growth phase!
Responsibilities:
Build: Develop flight software, sensor fusion algorithms, and secure communication protocols between the interceptor and C2; or build distributed microservices for the ground station, depending on which area fits your background. Integrate: Work alongside Hardware Engineering (mechanical, electrical, GNC), Systems Engineering, and Program Management to integrate the software with the rest of the missile and ground station. TEST : Participate in HIL/SIL testing phases, support field trials, and write the automation that keeps these tests fast and reliable. AI-assisted delivery: Use modern AI coding tools (GitHub Copilot, Cursor, Claude Code, etc.) heavily across your daily work to ship faster without compromising safety-critical standards. Collaborate: Contribute to design reviews and architectural decisions; raise issues and propose alternatives rather than waiting for direction.

we are seeking a seasoned Senior CI/CD DevOps Engineer to join our CloudOps team. In this pivotal role, you will be the architect of our delivery ecosystems, designing and scaling high-performance CI/CD engines and Kubernetes-based infrastructure across multi-cloud environments.
You will bridge the gap between code and production, leveraging GitOps principles and advanced automation to accelerate our SaaS and On-Prem release cycles. If you thrive on building "Infrastructure as Code," mastering complex Jenkins pipelines, and securing cloud-native systems at scale, this is your next challenge.
Key Responsibilities:
Architect CI/CD Ecosystems: Design, implement, and maintain enterprise-grade CI/CD pipelines using Jenkins and Shared Libraries (Groovy) to standardize delivery across R&D.
Infrastructure as Code (IaC): Drive the automation of global cloud footprints (AWS) using Terraform, ensuring modularity, reusability, and state management.
Kubernetes Orchestration: Manage and optimize large-scale EKS clusters, focusing on high availability, auto-scaling, and cost-optimization.
GitOps Advocacy: Implement and champion GitOps workflows to ensure the "source of truth" always resides in Git, automating deployments and drift detection.
Advanced Scripting: Develop sophisticated tooling and automation logic using Python and Bash to eliminate manual toil.
Hybrid Cloud Delivery: Support complex release automation for both high-velocity SaaS environments and secure On-Prem deployments.
System Reliability: Troubleshoot complex production bottlenecks, optimize container performance, and mentor junior engineers on best practices.

Were looking for a Senior Backend Engineer to join core engineering group and build the systems behind one of the worlds largest location-analytics platforms.
In this role, youll work on backend services that process and serve billions of data points, power ML-driven insights, and operate at high scale and high reliability. If youre motivated by hard technical challenges, modern infrastructure, and collaborating with strong engineers, this role is built for you.
RESPONSIBILITIES:
Design, build, and evolve large-scale, distributed backend systems that power data and AI products
Own services end-to-end - from architecture and design to production, monitoring, and continuous improvement
Drive performance, scalability, and reliability, using data and metrics to guide decisions
Build infrastructure and data pipelines that support machine-learning, analytics, and real-time use cases
Partner closely with Product, Data Science, and Analytics to turn complex data into impactful product features
Raise the engineering bar through code reviews, design discussions, and technical mentorship

our company's ML Platform group builds and operates the core infrastructure that powers large-scale AI workloads across on-prem bare-metal GPU clusters and multi-cloud environments. Our goal is to deliver the modern infrastructure and tooling that accelerates our company's entire algorithm development lifecycle - from a researcher's first experiment to a production deployment.
We are a small, independent group of engineers with diverse skills across software, infrastructure, and systems. We set the standards, build the cross-company products, and take end-to-end ownership of everything we ship.
What will your job look like?
Design, develop, and maintain the Python framework that enables algorithm developers across our company to train, validate, quantize, and deploy deep learning models - locally, on-prem, and across cloud providers - through a single unified interface
Build high-performance data streaming libraries that feed large-scale distributed training pipelines in Rust with Python interfaces
Set the standard for reliable, reproducible research at scale - experiment tracking, configuration management, checkpoint handling, and multi-node training
Work directly alongside algorithm researchers to understand friction, propose solutions, and ship them - without layers of process in between
Contribute to open source when the right fix/feature belongs upstream.

we are looking for a Big Data Engineer.
As a Senior Big Data Engineer, working within Mobility Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform.
RESPONSIBILITIES:
Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform.
Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform.
Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency.
Cloud Infrastructure: Work extensively with cloud-based technologies (GCP and AWS), to design and manage scalable data infrastructure.
Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs.
Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security.
Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure.
Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team.

we are seeking a strong ML Software Engineer to join our deep learning LiDAR & Radar group and help scale the systems that bring cutting‑edge perception models into production. Youll build the software layers, data pipelines, and runtime systems that turn advanced neural networks into reliable, high-performance solutions running on edge devices.
This is a hands-on, high‑ownership role within a growing group working closely with algorithm developers. The work spans Python and C++, ML infrastructure, model integration, performance optimization, and production delivery.
** The role includes working on-site at our Jerusalem office several days per week.
What will your job look like:
Lead end-to-end development of features - from design and implementation to integration, testing, and deployment
Build ML pipelines for data-based diverse dataset creation and efficient model inference
Design data selection and sampling strategies to ensure coverage of rare and critical scenarios
Partner with algorithm teams to translate model weaknesses into data curation criteria
Develop validation and diagnostics to measure dataset quality-not just pipeline health but training effectiveness
Integrate neural network models into C++ production systems, including runtime, data flow, and pre/post‑processing
Bring models from research/prototype stage into robust, production‑ready deployments
Optimize runtime performance (latency, memory, and throughput) in resource‑constrained environments
Contribute to deployment flows (e.g., model conversion, profiling, optimization)
Build and improve CI/CD pipelines, automated testing, and development workflows.