דרושים » ניהול ביניים » Senior Software Engineer

Requirements:
BSc in Computer Science/Software Engineering or equivalent
Experience in one of the following:
5+ years in cloud development
5+ years in JAVA Hands‑on experience building RESTful APIs in Java.
Strong software design skills, debugging capabilities, and problem‑solving strengths.
Excellent written and spoken English.
AI & Automation experience:
Hands-on experience with AI coding tools such as GitHub Copilot or Claude Code -
using AI to accelerate development, improve code quality, and optimize system design.
Deep familiarity with LLMs, AI agents, or automation frameworks (e.g. Claude, OpenAI, Copilot, or similar).
Experience working with agent architectures, prompt engineering, MCP / tool integrations, or related LLM ecosystems.
Demonstrated ability to design and ship AI-driven solutions end-to-end - from concept to production.
You will have an advantage if you also have:
Experience building distributed, production-grade systems at scale.
Hands-on development experience with AWS services.
Strong background in Spring / Spring Boot. Technical blog posts, talks, or presentations youve created. Contributions to open-source projects.
Experience solving complex or large-scale engineering challenges. (Big Advantage).

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:
BSc/BA in Computer Science or equivalent.
6+ years of experience with Java or similar JVM/OOP languages.
Strong experience with AWS services (e.g., DynamoDB, EKS, IAM, S3, Lambda).
Solid understanding of system architecture, design patterns, and building complex distributed systems.
Handson experience with relational (PostgreSQL) and NoSQL databases (MongoDB, Cassandra, Redis, etc.).
Practical experience building and maintaining production cloud services.
You will have an advantage if you also have:
Familiarity with data streaming or big data technologies such as Kafka, Flink, or Spark.
Experience building microservices using Spring Boot, Docker/containers, and Kubernetes.
Exposure to DevOps practices and tools (CI/CD pipelines, Jenkins, Terraform, Helm).
Background in SaaS product development.
Comfort using AI-based tools to speed up development and testing (such as GitHub co-pilot, Claude,).

Requirements:
What You Will Bring
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.
The Following is Considered a Plus
Experience with cloud development for public cloud services (AWS, GCE, Azure).
Hands-on experience with Nvidia CUDA/DOCA or performance profiling for GPUs.
Background in DevOps or site reliability engineering (SRE).
Experience with hardware accelerators (e.g., GPUs) for AI workloads.
Recent hands-on experience with distributed computation, either at the end-user or infrastructure provider level.
Experience with performance analysis tools.

Requirements:
What we need to see:

B.Sc./M.Sc. in Computer Science, Computer Engineering, or a related technical field.

8+ years of software engineering experience building production distributed systems.

Core Systems Programming: Expert-level proficiency in languages such as Go, C++, or Rust, with a focus on high-performance, concurrent architectures.

Solid understanding of Kubernetes and container-based deployments for production services.

Experience deploying, monitoring, and maintaining ML models or data-intensive services in a production environment.

Comfort working in ambiguous, fast-moving environments where the product is still being shaped.


Ways to stand out from the crowd:

Experience building ML model-serving platforms or MLOps tooling (model registries, A/B rollout frameworks, feature stores) at scale.

A track record of taking systems from prototype to stable, production-grade platform serving real enterprise customers.

A "Systems" Thinker: You don't just write software; you understand the full stack, from how data moves across the wire to how its processed in a distributed cluster.

Practical Innovation: The ability to simplify complex problems and build internal tools or frameworks that empower other engineering teams to move faster.

Requirements:
5+ years of experience working in a Linux environment with at least one language like Golang, Python, Java, or C or C++
Experience with a container ecosystem like Docker, Kubernetes, Red Hat OpenShift.
Experience with 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
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:
At least 5 years of software engineering experience
AI‑augmented development, including MCP servers
Good understanding of OOP and OOD concepts
Self-motivated, accountable, quick learner and team player
Excellent interpersonal and communication skills
Be open to taking on increasing responsibilities with the goal of role evolving
Fluent English
You will have an advantage if you also have:
Implemented AI/LLM agentic systems
Prior leadership experience (Scrum Master, Team Lead)
Engineering experience in both BackEnd/FrontEnd.

Requirements:
What we need to see:

B.A./B.Sc. in Computer Science or equivalent experience.

5+ years of experience of networking product delivery (e.g. switches, routers, NICs) and the software development lifecycle.

Strong programming skills in Python.

Experience of creating and maintaining robust test automation systems, and a desire to automate everything.

Exceptional analytical and problem-solving skills, with a keen attention to detail, particularly in identifying and resolving networking issues.

Good English communication and interpersonal skills.

Good Linux familiarity.


Ways to stand out from the crowd:

Experience of data center network engineering spanning servers, NICs, cabling and switches.

Strong knowledge of ethernet networking, from switch pipelines (e.g. ACLs, forwarding rules) through networking protocols (like TCP/IP and BGP/EVPN-VxLAN) to network operating systems and their automation.

Have a passion for AI and networking.

Experience of NVIDIA networking technology such as Bluefield/ConnectX NICs, Spectrum switches, and the Cumulus Linux and SONiC operating systems.

Networking certification (e.g. CCIE, JNCIE, ACE-E).

Requirements:
What We Need to See:

Bachelors or masters degree in computer science, Data Science, or a related field, or equivalent experience.

Proven experience in Python programming.

Experience in developing modern Software Verification Systems, with a passion for algorithms.

5+ years of experience in similar roles.

Strong skills in implementing and debugging software.

Outstanding software debugging and problem-solving skills.


Ways to Stand Out from the Crowd:

Understanding of the OCI/network model.

Experience with Docker and Kubernetes.

Knowledge of C/C++ programming.

A scripting background (e.g., Bash, Groovy).