We believe in giving our Tier1 customers around the world real value by offering them cutting-edge solutions that make their networks smarter and their users more secure.

At Allot, you’ll have the opportunity to develop professionally and personally in a dynamic environment with like-minded people who always go the extra mile to succeed. This is your opportunity to develop, professionally and personally.

Role Overview:

We are seeking an experienced Software Engineer with deep expertise in Linux systems, low-level networking, and cloud infrastructure to join our Platform Engineering team. This role requires a strong technical background in system-level programming, performance optimization, and distributed system design. You will work on complex, high-performance platform components that operate at scale and enable mission-critical services.

Key Responsibilities:

Design, develop, and optimize platform components with a focus on Linux internals, networking stacks, and high-throughput data plane applications (DPDK).
Collaborate closely with System Architect, Network Engineers, Security, and Product teams to define architectural requirements and deliver robust solutions.
Working across hybrid environments leveraging public cloud infrastructure (AWS, GCP, Azure) and on-premises systems.
Analyze system bottlenecks and drive performance improvements, virtualization, and application layers.

Requirements :

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Hands-on experience:

Linux Internals: Solid understanding of kernel subsystems including memory management, process scheduling, file systems, userspace interactions, and device drivers.
Networking & Data Plane Development: Experience with DPDK, NIC offloading, and high-throughput, low-latency packet processing.
Systems Programming: Proficient in C/C++, Bash, and Python for low-level development, automation, userspace system-level applications, and performance tuning.
Multithreading & Performance Optimization: Strong grasp of concurrency, synchronization, and real-time optimization in system-level applications.
Distributed Systems Engineering: Proven ability to design, build, and scale resilient distributed systems and platform services.
Strong analytical and Problem Solving: Analytical mindset with deep debugging skills and a focus on performance-driven, reliable solutions.

Nice to have:

Practical knowledge of hypervisors and virtualization technologies (KVM, VMware).
Experience with container orchestration platforms (Kubernetes) and service mesh architectures.
Familiarity with operational best practices for large-scale infrastructure.
Experience designing and deploying systems on public cloud platforms (GCP, AWS, Azure).

Soft Skills:

Strong communication skills with the ability to document designs and present technical solutions.
Highly collaborative with a proactive, ownership-driven mindset.