דרושים » תוכנה » Senior Software Engineer

Requirements:
Strong practical experience with LLMs and AI-assisted development.
Experience designing, building, and orchestrating autonomous agentic systems and multi-agent workflows for internal or external automation.
Experience with agents, skills, MCP servers and development, plugins, RAG, embeddings, and AI orchestration frameworks.
Ability to orchestrate complex, multi-step work across cooperating agents and tools.
Deep understanding of token economy, model selection, prompt/context design, and AI workflow optimization for cost, latency, speed, quality, accuracy, and reliability.
Deep, current knowledge of the AI tooling and coding-agent ecosystem, such as Claude Code, GitHub Copilot, Cursor, Codex, or similar.
Experience with telemetry, dashboards, and AI usage analytics.
Strong hands-on software engineering experience.
Full-stack capability: backend, APIs, automation, and basic frontend when needed.
Experience building internal tools, developer tools, automation platforms, productivity solutions, CLI tools, internal plugins, developer portals, or internal marketplaces.
Experience integrating with GitHub API, Jira API, Confluence API, and CI/CD systems.
Proficiency in TypeScript, Node.js, Python, React, or similar modern technologies.
Strong product sense and ability to translate engineering pain points into practical tools and solutions.
Ability to design, deliver, and own working solutions independently.
Comfortable working with ambiguity and rapidly evolving technologies.

Requirements:
What Were Looking For

5+ years of professional software development experience

Strong, proven experience in modern C++ (C++17/20)- multi-year hands-on development in native/cross-platform environments. We expect fluency with:

Modern language features (RAII, smart pointers, move semantics, templates,constexpr, the STL)

Concurrency and parallelism- threads, async tasks, synchronization primitives, atomics, and the C++ memory model, with the ability to write correct, high-performance multithreaded code

Clean, maintainable, well-structured C++ and modern build tooling (e.g. CMake)

Memory management, performance profiling, and debugging in native environments

Inter-process communication, native integrations, and low-level system programming

Cross-platform development across Windows and Linux

Experience with C# / .NET Core- valued alongside C++, as parts of the platform are built in .NET for extensions and integrated services. Strong C++ engineers who are newer to .NET are encouraged to apply; well support you in ramping up

Solid testing knowledge and discipline- you write unit and integration tests as a natural part of development, are familiar with testing frameworks (e.g. GoogleTest/Catch2) and practices such as mocking and test-driven development

Hands-on experience with AI-assisted development tools(e.g. Cursor, Claude Code) - you use AI to accelerate coding, code review, and problem-solving, and are keen to push these tools further

A customer-first mindset- comfortable jumping on customer calls and turning first-hand feedback into better software

Thrive in a globally distributed team- you communicate clearly and collaborate well across time zones and cultures

Experience working in and succeeding within agile development teams

Comfortable with change and continuous evolution of product direction

A get-your-hands-dirty attitude: not afraid to pick up a new technology or pattern quickly

A proven track record of producing high-quality, maintainable code and applying engineering best practices

Nice to Have (Not Required)

Experience with cloud services development, ideally on Azure

Experience with Docker and Kubernetes

Experience with DevOps pipelines and Cloud Operations (monitoring, observability, logging)

Experience developing automation engines or background service architectures

Requirements:
4+ years of relevant technical experience in software development.
Advanced experience working in a Linux environment with at least one language like Golang, Python, Java, C, or C++.
Advanced experience with a container orchestration ecosystem like Kubernetes, or Red Hat OpenShift.
Strong experience with microservices architectures and concepts including APIs, versioning, monitoring, etc.
Virtual Networking / Storage / Compute experience .
Ability to quickly learn and guide others on using new tools and technologies.
Proven ability to innovate and a passion for staying at the forefront of technology.
Excellent system understanding and troubleshooting capabilities.
Autonomous work ethic, thriving in a dynamic, fast-paced environment.
Technical leadership acumen in a global team environment.
Proficient written and verbal communication skills in English.

Requirements:
Background: B.Sc. in Computer Science (from a leading university) OR Alumnus of an elite military technology unit.
Experience Level: 7+ years of overall software engineering experience, with at least 5+ years of hardcore backend development focusing on distributed systems.
Expert Coder: You are still deeply hands-on and "hot on code".
Core Backend Stack: Expert-level knowledge of JavaScript (JS) and TypeScript (TS). Deep, authoritative expertise in Node.js, Express, and NestJS, alongside a profound understanding of the JS Event Loop and asynchronous programming.
Distributed Systems: Proven, battle-tested experience planning, designing, and implementing complex, high-throughput distributed systems from scratch.
Cloud Native: 5+ years across on of AWS, Azure, or GCP with a focus on managed services (Serverless, EKS/AKS/GKE, auto-scaling).
Architecture: Proven experience with Event-Driven Design (one of Kafka, RabbitMQ, Redis Stream) and Microservices.
State Management: High-speed in-memory state (Redis) and relational data stores (PostgreSQL).
SaaS & Security: Expertise in secure, multi-tenant SaaS, ideally with knowledge of Zero Trust Architecture (ZTA) and mTLS.
Containers: Hands-on experience with Docker and basic Kubernetes.
Frontend Willingness: Practical experience with React and a strong willingness to touch client-side code when necessary to deliver end-to-end features.
Big Advantages:
Infrastructure as Code: Deep expertise treating infrastructure as software using Server-less Framework, Terraform, AWS CDK.
AI Tooling: Experience enriching and optimizing development using dev-assisting GenAI tools (such as Cursor, CoPilot, or ClaudeCode).
Data Scale: Experience with time-series telemetry pipelines and long-term storage tiering.

Requirements:
8+ years of experience working in a Linux environment with at least one language like Golang, Python, Java, or C or C++
Expert in a container ecosystem like Docker, Kubernetes, Red Hat OpenShift.
Expert in microservices architectures and concepts including APIs, versioning, monitoring, etc.
Ability to examine various technological areas deeply and deliver solutions
Experience with AI frameworks and tooling
Technical leadership acumen in a global team environment
Excellent debugging skills
Proficient written and verbal communication skills in English
Bachelor's degree in computer science or equivalent working experience
The following are considered a plus:
Experience with cloud development
Familiarity with virtualization, networking, or storage
Background in DevOps or site reliability engineering (SRE)
Experience with open source development

Requirements:
What We're Looking For
Must Have:
Strong Python expertise (5+ years) with experience in async programming and FastAPI
Frontend experience (4+ years) with React/TypeScript
3+ years of experience designing, deploying, and operating language model-based solutions in production.
Hands-on experience with AI/LLM integrations (OpenAI, Anthropic, or similar)
Experience building or working with AI agents, agentic workflows, or AI-assisted development tools (e.g., Cursor, GitHub Copilot, Claude Code, similar agent frameworks)
Experience with MCP (Model Context Protocol) or A2A protocols
Solid understanding of API design, authentication patterns, and multi-tenant architectures
Track record of leading technical initiatives and mentoring engineers
Strong testing discipline (unit, integration, E2E)
Great communication skills, both written and verbally

Requirements:
What we need to see:

B.Sc. in Computer Science, Software Engineering, or equivalent practical experience.

8+ years of experience developing in C/C++.

Experience with Linux development tools and debugging.

Solid understanding of networking concepts and protocols (such as Ethernet, TCP/IP, or similar).

Experience with virtualization technologies.

Strong analytical and problem-solving skills.

Experience optimizing software performance. Good understanding of operating systems and computer architecture.


Ways to stand out from the crowd:

Experience developing high-performance or low-latency software.

Background with DPDK, RDMA, or similar networking technologies.

Experience designing APIs or SDKs.

Contributions to open-source projects such as DPDK, OVS, or the Linux Kernel.

A collaborative mindset, curiosity, and excellent communication skills.

Requirements:
B.Sc. in Electrical Engineering, Computer Science, or a related field
7+ years in software management, including managing team leaders or multiple teams
10+ years of hands-on software engineering with strong C/C++; deep embedded and low-level experience (firmware, drivers, RTOS) is a must
Solid grasp of driver and system-level software (Linux UMD/KMD, Android) and a track record of delivering complex software stacks and SDKs across Host and IP, including automated CI/CD and release processes
Experience managing geographically distributed teams and sub-contractors, and working directly with customers
Strong leadership, communication, problem-solving, and English skills, with the ability to drive execution in a fast-paced environment
Advantages
Experience with NPU, AI accelerator, or DSP software stacks
Experience with modern AI compiler/runtime frameworks (TVM, MLIR, IREE) and ML frameworks (TensorFlow, PyTorch, ONNX, TFLite)
Driver and Android HAL bring-up for hardware accelerators or custom silicon
M.Sc. in Electrical Engineering, Computer Science, or a related field.

Requirements:
What we need to see:

B.Sc/M.Sc or higher in Computer Science, Computer Engineering, or a related field or equivalent practical experience.

5+ years of software engineering experience building distributed systems, cloud infrastructure, or platform software.

Deep understanding of Kubernetes and the cloud-native ecosystem.

Experience extending, building, or contributing to Kubernetes-based solutions.

Strong communication skills and the ability to collaborate across engineering teams and open-source communities.

Curiosity, adaptability, and an interest in learning AI infrastructure.


Ways to stand out from the crowd:

Active contributor to Kubernetes, CNCF, or other open-source infrastructure projects.

Leadership experience in open-source communities, such as maintainer, reviewer, approver, SIG/WG leadership, or similar roles.

Experience designing Kubernetes APIs, authoring KEPs, or driving community proposals through upstream processes.

Experience with Kubernetes scheduling, networking, Gateway API, workload APIs, or other core Kubernetes subsystems.

Understanding of AI infrastructure, including inference systems, GPU scheduling, distributed serving, or LLM infrastructure.

Requirements:
What We Need to See:

Combined network engineering depth with thorough software habits.

5+ years of hands-on QA or networking experience, backed by CCNP-equivalent protocol knowledge: L2 (VLAN, STP), L3 (BGP, OSPF), EVPN, VXLAN, and advanced features like PFC, ECN, RoCE, and QoS.

Production-quality Python engineering-specifically, strong OOP design and hands-on experience with Pytest.

Deep Linux proficiency (at an LPIC-1 or LPIC-2 level) to navigate system internals, analyze logs, and debug effectively.

Clear verbal and written communication, with professional proficiency in written and spoken English.

B.Sc. or or B.A. or equivalent experience in Computer Science, Electrical Engineering, or a similar background.


Ways to stand out from the crowd:

Experience with Docker and traffic generation tools (Ixia, TRex, Scapy).

Hands-on experience integrating tests into CI/CD pipelines (Jenkins, GitLab CI).

Working knowledge of virtualization platforms (KVM, VMware).