דרושים » הנדסה » Senior Software Developer (Low-level expert)

Requirements:
At least 10+ years of hands-on software development experience must.
At least 2 years of experience as a Software Architect /or as a Principal Engineer must.
Proven experience in designing large-scale, high-availability systems with complex architecture and high traffic volumes must.
Experience in .NET and C# programming must.
Experience with Microsoft SQL Server and T-SQL development
Significant experience with relational database design and internals
Proven experience leading technical teams and driving end-to-end delivery of complex software projects, Proven experience in leading software projects and development teams must.
Strong background in designing scalable, secure, and high-performance software and data systems
Experience with cloud services and architectures (AWS preferred) must
Familiarity with database design and implementation, including both relational and NoSQL databases
Strong knowledge of software development lifecycle, best practices, and modern development methodologies
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Experience with operating systems (Windows, Linux)
Experience with scripting languages such as PowerShell and Python
Analytical mind with excellent problem-solving skills
Self-taught, quick learner of new technologies
Nice to have:
BSc in Computer Science, Engineering or Mathematics.
Hands on experience with data analysis of large and complex data sets using NOSQL, Elasticsearch and/or Snowflake
Cyber Security or Information Security background.
Experience with enterprise level release & change management processes.
Experience with Machine learning
Experience in the fintech industry ideally from companies operating in payments, banking, or financial platforms
Frontend development background a plus (Vue.js, React, Angular)
Hands-on experience with NoSQL technologies (Redis is a significant advantage)
Experience working with Snowflake or other cloud-based data warehousing solutions a significant advantage
Familiarity with containerized environments and cloud infrastructure (preferably AWS)
Exposure to AI-related technologies, including MCP servers or tools like GitHub Copilot (MCP experience is a plus).

Requirements:
* BSc in Software Engineering, Computer Science or equivalent – must.
* 2+ years of experience in Object-Oriented Programming (OOP) with C++ - must
* Foundational knowledge in C – must.
* Experience with Go language - advantage
* Experience with Python language - advantage
* Experience in user space application development in Linux – advantage.
* Proficiency in using modern development tools and version control systems (e.g., Git, Docker) SolarEdge recognizes its talented and diverse workforce as a key competitive advantage. Our business success is a reflection of the quality and skill of our people. SolarEdge is committed to seeking out and retaining the finest human talent to ensure top business growth and performance.

Requirements:
3 years of experience in building cross platform software running on Windows/macOS/Linux or experience building low level applications for one of them.
Thorough understanding of OS internals and how to interact with the OS
Excellent problem-solving skills and ability to work well in a team.
Experience in C/C++/Rust - Rust is a major advantage
Experience in the cybersecurity space is an advantage.

Requirements:
● 5+ years of experience in real-time embedded systems development, writing code in C/C++ and Assembly.

● Deep understanding of embedded systems internals and operating systems.

● Experience with embedded systems communication protocols, peripherals and debugging.

● Good knowledge of network communication protocols and topologies.

● Experience in Python scripting.

● Highly motivated and very creative individual.

● Bachelor's degree in computer science or engineering.

● Experience in reverse-engineering using disassemblers - advantage.

● Experience in vulnerability research - advantage.

● Experience in the telecommunications industry - advantage.

● Graduate of an elite technological unit in the IDF advantage.

Requirements:
5+ years work-related industry experience using Java/Scala/Python
Experience with Big Data technologies: Hadoop, Spark, Elasticsearch (ELK), Flink, Kafka and similar an advantage
Experience building and deploying large scale, low-latency data processing systems
Excellent understanding of performance, profiling, and optimization
Experience working in the Unix/Linux environment
Solid knowledge of Computer Science fundamentals including data structures and algorithms
Experience working with CI/CD, Kubernetes, Airflow, Spring (boot) framework an advantage
Passionate about problem solving with excellent communication and team-work skills
B.Sc. in Computer Science or Computer Engineering

Requirements:
3+ years of hands-on experience in Java (must)
Experience with Microservices architecture
Proven experience in building high-scale services
Experience with SQL and NoSQL database systems (MySQL, Aurora, MongoDB, Redis, etc.)
Strong understanding of developer testing (unit, component, integration, and e2e tests)
A team player with a strong sense of ownership and a can-do attitude
Independent, responsible, and communicative, thriving in a hybrid work mode
Nice to have
Familiarity with AWS Cloud and Kubernetes (advantage)
Experience with Queuing technologies like Kafka and RabbitMQ (advantage)
Experience in Financial industries - FinTech (strong advantage).

Requirements:
3+ years work-related industry experience using Java/Scala/Python
Experience with Big Data technologies: Hadoop, Spark, Elasticsearch (ELK), Flink, Kafka and similar an advantage
Experience building and deploying large scale, low-latency data processing systems
Excellent understanding of performance, profiling, and optimization
Experience working in the Unix/Linux environment
Solid knowledge of Computer Science fundamentals including data structures and algorithms
Experience working with CI/CD, Kubernetes, Airflow, Spring (boot) framework an advantage
Passionate about problem solving with excellent communication and team-work skills
B.Sc. in Computer Science or Computer Engineering

Requirements:
5+ years of hands-on experience in DevOps engineering, automation, and CI/CD strategies.
Expert-level proficiency in Python, with the ability to develop robust automation scripts, tooling and integrations.
Deep expertise in Git methodologies (branching strategies, GitOps, CI/CD best practices, etc.).
Proven experience in designing, implementing, and maintaining CI/CD pipelines using GitLab CI/CD, Maven, Artifactory.
Hands-on experience with Kubernetes, OpenShift, and Docker, including workload orchestration, container lifecycle management, and performance tuning.
Strong Linux administration skills and configuration management tools like Ansible, with deep familiarity with system internals and performance tuning.
Infrastructure as Code (IaC) expertise with Terraform, ensuring reproducibility and automation at scale.
Proficiency in observability and monitoring solutions (Prometheus, Grafana, ELK stack, etc.), enabling proactive system health management.
Experience working in an Agile/SCRUM methodologies an advantage.
Familiarity with iOS development environments an advantage.
Networking fundamentals (DNS, TCP/IP, Load Balancing) an advantage.
Experience with pytest for automated testing an advantage.

Requirements:
5+ years of experience in developing and optimizing Computer Vision algorithms.
Hands-on experience with Deep Learning architectures, including CNNs, Transformers, and diffusion models, as well as knowledge of classic machine learning and unsupervised learning techniques.
Expertise in image processing, object detection, segmentation, and feature extraction.
Strong proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, OpenCV, and Hugging Face.
Experience working with large-scale datasets and optimizing models for real-world applications.
Proven track record of developing and deploying real-world solutions using Deep Learning methods.
Familiarity with cloud-based AI deployment (AWS) and ML Ops tools-Advantage.
Bachelor or M.Sc. in Computer Science, Electrical Engineering, or a related field.