דרושים » הנדסה » Senior Backend Developer

Requirements:
BSc in Computer Science (or an equivalent academic degree).
7+ years of experience in software development, including hands-on backend and frontend work.
Strong proficiency in Node.js and proven experience building production-grade backend services.
Experience with at least one Python-based framework (FastAPI, Flask, or Django) is an advantage.
Solid experience with modern frontend frameworks such as React, Angular, or Vue.
Strong understanding of RESTful API design and full stack application architecture.
Experience working with relational and non-relational databases (PostgreSQL, MySQL, MongoDB).
Deep expertise with Docker, Linux, and containerized development workflows.
Hands-on experience with GitLab CI/CD pipelines.
Proficiency with AWS cloud services, including deployment, scaling, and monitoring.
Understanding of production-grade infrastructure and automation systems.
Strong analytical, debugging, and problem-solving abilities.
Excellent communication skills and a collaborative mindset.

Requirements:
Education: B.Sc. in Computer Science, Electrical Engineering, or equivalent experience.
Experience: 3-5+ years in System Engineering, or Network Engineering with a development background.
Networking Expert: Deep understanding of Wired LAN technologies (L2/L3 switching, VLANs, Ethernet, TCP/IP, DHCP, DNS). Definition of application layer propierty protocol.
Familiraity with software Architecture: Proven experience in designing SW modules and understanding API definitions and data flow.
Coding Skills: Strong coding capabilities in Python. You must be comfortable reading code and writing complex automation/tools.

Requirements:
BSc or above in Computer Science, Computer Engineering, or a related field, or equivalent experience.

5+ years of relevant practical experience in software development, including working on a large-scale software product, preferably with strict performance considerations.

Proficiency in C++ and optimization techniques for improving code performance

In-depth knowledge of computer science fundamentals, and computer architecture.

Strong communication skills.

Experience with simulation environments (specifically, network related) - a significant advantage

Prior experience with multi-core computation and parallel code acceleration

Familiarity with cloud computing and parallelization of computational workloads - an advantage.

Experience in developing CI/CD pipelines and integrating services - an advantage.

Requirements:
Proven experience in implementing complex software systems, with strong analytical and problem-solving skills
3+ years of backend and server-side development experience
Strong experience in Object-Oriented Programming, primarily in Java or C#
B.Sc. degree in Computer Science, Computer Engineering, or equivalent practical experience
Ability to work as a team player while also taking full ownership and working independently
Genuine passion for technology and problem solving
Experience developing software that interfaces with hardware components such as motion control systems, sensors, cameras, or similar devices
Experience with agentic coding and LLM developer tooling - Advantages
Experience working in Agile development environments - Advantages
Experience with web technologies - Advantages
Knowledge and hands-on experience with Python - Advantages
Availability to travel abroad for short periods, if needed.

Requirements:
What we need to see:

B.Sc., M.Sc.. in Computer Science, Electrical Engineering or related discipline (or equivalent experience).

15+ years of experience as a senior developer, preferably in the domains of storage, networking, and/or operating-systems.

Strong proficiency in C/C++ programming.

Knowledge of networking fundamentals and experience in Linux-based networking environments.

Familiarity with RDMA technologies, including Infiniband, RoCE, or iWARP, and experience with RDMA programming models, control and data paths. Comprehension of large and complexed systems.

Proven professional experience in designing and developing distributed systems; advantage for experience in block storage and/or networking systems.

Ability to work autonomously, with a proactive mindset and perseverance to solve day to day challenges.

Ability to quickly adapt to new technology and go deep into new areas

Excellent communication skills and a collaborative mindset.

Innovative approach, identifying opportunities to improve, accelerate, and reuse existing solutions.

Knowledge of cloud computing concepts, including virtualization, scalability, and data management.

Ways to Stand Out From the Crowd:

Linux Kernel coding experience.

Linux Kernel internals knowledge including memory management, scheduling, etc.

Requirements:
BSc/MSc in Computer Science or a related field, or equivalent experience.
10+ years of software engineering experience, including low-level/system software, with 4+ years leading or tech-leading high-performance teams or major technical projects.
Strong proficiency in C++ is a must; experience with C or Python is optional but advantageous.
Proven ability to drive software projects from research and design to implementation and production at scale.
Background in embedded development and familiarity with OS interactions (drivers, memory/device interfaces, etc.).
Knowledge of computer architecture and hardware-software interfaces.
Experience working on large, complex codebases that demanded high reliability and performance.
Exceptional communication and leadership skills, capable of mentoring, influencing, and resolving conflicts effectively.
Demonstrated ownership, accountability, and the ability to thrive in high-pressure environments.
Passion for building high-quality, performance-critical system software and pushing technical boundaries.

Requirements:
What we need to see:

Bachelors Degree in EE, CS or CE or equivalent work experience.

5+ years of experience in software testing or software engineering.

Strong programming skills in C/C++.

Solid experience with Linux-based environments, including system tools and command-line utilities.

Methodical troubleshooting skills in Linux environments with a disciplined approach to evidence-based failure analysis.

Detail oriented and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements.

Ability to work with various teams and have strong analytical, debugging and problem-solving skills with attention to details.

Excellent communications skills, self-motivated and well organized.

Knowledge in operating systems and specifically with Linux.

Ways to stand out from the crowd:

Prior software testing experience, with an understanding of Software Testing Tools and Methodologies.

Python or other scripting languages (such as Shell)-advantage.

Experience in CI methodology & servers (e.g. Gerrit, Jenkins etc.).

Knowledge of NVIDIA DPU products.

Requirements:
What we need to see:

B.A./B.Sc. in Computer Science, Electrical Engineering, or equivalent IT/Network/Systems experience.

5+ years of hands‑on networking or system‑level testing and debugging on Linux.

Strong Linux networking and debugging skills (for example perf, tcpdump, ethtool, iproute2).

Proven production‑grade debugging experience: forming hypotheses, running experiments, and driving issues to root cause under pressure.

Expertise in host‑side NIC validation and tuning (offloads, queues, interrupts, firmware/driver interactions).

Strong knowledge of AI networking libraries (such as NCCL) and protocols (such as RoCE and RDMA), including performance and correctness debugging.

Ability to read and reason about source code (C/C++/Python or similar) and collaborate closely with developers on fixes.

Solid scripting and automation skills with Bash / Python / Ansible for setup, log collection, and experiment orchestration.

Fast learner, familiar with modern AI tools and workflows, able to adapt quickly.

Excellent analytical, problem‑solving and communication skills, with strong ownership and a collaborative mindset.

Ways to stand out from the crowd:

Hands‑on debugging of collective communication libraries (for example NCCL) or large‑scale LLM training / inference clusters.

Experience with large cluster environments (tens to thousands of GPUs or nodes), including incident response and post‑mortem analysis.

Deep expertise in tuning and debugging congestion control and lossless Ethernet for AI workloads (for example DCQCN, ECN, PFC).

Familiarity with NVIDIA networking technologies (for example BlueField / BF3, ConnectX NICs) and their software stack and diagnostics.

Experience debugging issues that span multiple layers (L2/L3, transport, AI frameworks) or contributing to open‑source networking / AI systems.

Requirements:
What We Need To See:

B.Sc. or M.Sc. degree in Computer Science, Computer Engineering, or Electrical Engineering, or equivalent experience.

5+ years of relevant industry or research experience in high-performance computing, computer architecture, or computer networks.

Hands-on programming skills in Python and/or C/C++ for system analysis, automation, and customizing benchmarks.

Excellent understanding of large-scale system behavior and the effect of distributed computing workloads on network and system performance.

Proven experience in performance analysis, benchmarking, and identifying system bottlenecks.

Exceptional analytical, problem-solving, and systems-thinking skills, with the ability to dive deep into complex software and hardware interactions.

Ability to thrive in a a fast-paced, dynamic environment and work concurrently with multiple cross-functional teams.

Ways To Stand Out From The Crowd:

Deep understanding of and hands-on experience with communication libraries such as NCCL, UCX, or MPI.

Direct experience debugging or modifying the source code of a major communication library.

Expertise in the architecture and system-level requirements of large-scale, distributed Deep Learning workloads (e.g., LLMs).

Expertise in high-performance network protocols (Ethernet, InfiniBand, RoCE) and interconnect technologies like NVLink.

Familiarity with the PyTorch ecosystem, especially for distributed workloads.

Requirements:
3-4 years of hands-on backend software development with experience in a professional production environment.
Educational/Background (One of the following is required):
B.Sc. in Computer Science/Engineering from a leading university (Average 85+).
Graduate of a top-tier IDF intelligence unit in a significant development role.
Technical Skills:
Production Mindset: Experience with CI/CD pipelines, Docker, and cloud environments. You understand the operational side of software engineering.
Python Expertise: Deep understanding of Python and its ecosystem (FastAPI/Django/Flask). You know how to write "Pythonic" code and understand how the language works under the hood.
API & System Design: Proven experience designing and developing RESTful APIs. Solid understanding of software design principles, testing practices, and version control (Git).
Database Proficiency: Experience with databases (e.g., SQL, NoSQL), schema design and tools (example: SQLAlchemy).
You are genuinely passionate about technology. You maybe subscribed to tech channels and regularly learn and stay up-to-date on trends in your field.
You have a portfolio of substantial code or experience with interesting systems. You're subscribed to tech channels and regularly learning
Self-motivated, proactive, and independent-you are a fast learner and a problem-solver who knows how to remove roadblocks and get the job done.
We value people who are awesome to work with. You are a humble team player who enjoys sharing knowledge, helping others succeed, and fostering a positive environment.
Excellent verbal and written communication skills in both English and Hebrew.
Nice to Have:
Frontend Literacy: Knowledge of modern frontend frameworks (React) and the ability to contribute to the client-side code when needed.
Exposure to microservice architecture.
Experience with Redis, RabbitMQ, or Kafka.
Familiarity with Kubernetes.