לוח משרות דרושים מהנדס תוכנה משרה מלאה

Requirements:
Education: B.Sc. or higher in Computer Science, Computer Engineering; or equivalent experience.
Strong background in C and modern C++ (C++11 and newer) and system-level software development.
5+ years software engineering experience in large/complex projects.
Strong data structure intuition, graph operations, and algorithm design.
Comfortable working in hardware-aware environments, even if not directly writing low-level drivers or firmware.
Experience in chip development flows, hardware simulation, system modeling, embedded/real-time systems development, and data structure design, including complex serialization formats: an advantage.
Proficiency with hardware-aware deployment and model behavior in generative AI mechanics: an advantage.
Familiarity with compiler engineering concepts (IR, optimization techniques, dataflow analysis): an advantage.

Requirements:
B.Sc. in Computer Engineering or Computer Science (preferably cum laude, from a leading university)
5+ years of experience as a software engineer
Result oriented and experience in working on complex and large-scale systems
Passionate about code, self-motivated, fast learner, can do attitude and a great team player
Experience in working with Rust is a great advantage

Requirements:
Develop and optimize algorithms for high performance execution.
5+ years of advanced C or C++ experience, with excellent coding skills.
MSc/BSc in CS\EE or other equivalent experience.
Hands-on experience working with common math accelerated libraries: BLAS, FFTW, Eigen, LAPACK.
Experience in parallel compute frameworks (such as OpenMP, MPI, CUDA, OpenCL, Kokkos) - big advantage.
Experience with compilers (familiarity with LLVM-IR, MLIR or proprietary) - advantage.

Requirements:
Bachelors Degree in Computer Science, Software Engineering, or equivalent.
Minimum 4 years of experience in Web (JS Framework) development.
Proficient in modern web app deployment tools & libraries such as Webpack, ESLint, Babel, and NPM.
Excellent grasp of fundamental computer science concepts, good at solving complex technical problems.
Experience using common design patterns. High standards for code quality, maintainability, and performance.
Experience creating, maintaining, and shipping top-ranking Web apps is preferred.

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:
A Bachelor degree in Computer Science, Software engineering, or another related field is a must.
7+ years experience with infrastructure and CI/CD architecture in a technology company
3+ years of experience in running on-prem/cloud k8s in production
Senior experience with CI/CD tools (Jenkins, GitHub action, argocd)
Senior experience coding in languages like Python or Golang
Experience in Linux, as well as TCP/IP, HTTP, and other common network protocols
Experience with infra as a code tool such as: Terraform, Ansible etc.
Hands-on experience with a logging and monitoring stacks such as ELK/EFK, Prometheus/Grafana/kube-prometheus
Ability to analyze and solve complex issues spanning various topics
Experience of cloud infrastructure platforms such as AWS - an advantage

Requirements:
Available working some US hours
Proficient in Hebrew and English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment - Must
4+ years professional experience building production services with Node.js/TypeScript.
3+ years hands‑on with AWS, including Lambda, API Gateway, DynamoDB, and at least one container service (ECS, EKS, or Fargate).
Experience integrating third‑party or cloud‑native LLM services (e.g., Amazon Bedrock, OpenAI API) into production systems.
Strong understanding of RESTful design, GraphQL fundamentals, and event‑driven architectures (SNS/SQS, EventBridge).
Proficiency with infrastructure‑as‑code (AWS CDK, Terraform, or CloudFormation) and CI/CD pipelines.
Familiarity with secure coding, authentication/authorization patterns (Cognito, OAuth), and data privacy best practices for AI workloads.
Technical Environment:
Languages: TypeScript, JavaScript, SQL
Frameworks & Libraries: Express.js, Fastify, Apollo Server, LangChain‑JS, AWS SDK v3
Datastores: DynamoDB, Aurora (Postgres + pgvector), Redis, S3
Infra & DevOps: AWS Lambda, API Gateway, ECS/Fargate, Step Functions, CDK, Terraform, Docker, GitHub Actions
AI Stack: Amazon Bedrock, OpenAI API, HuggingFace Inference Endpoints, Pinecone, Chroma

Requirements:
5+ years of experience in BI / Data Engineering roles with ownership of scalable data platforms
Deep experience with modern data stacks (Snowflake or Databricks, dbt)
Advanced SQL and Python skills, including data quality, CI/CD, and observability
Strong understanding of dimensional modeling, data warehousing, and semantic layers
Experience with orchestration tools (Airflow) and large-scale data processing
Proven experience using GenAI tools as part of your day-to-day development workflow
A strong builder mindset, business orientation, and ability to lead cross-functional initiatives
Nice to have:
Experience with streaming technologies (Kafka, Spark).

Requirements:
What we look for:
3+ years of software engineering experience building scalable backend systems
Experience scaling big data pipelines, complex data integrations, and robust data infrastructure.
Expertise in big data technologies, including Spark (or Databricks), Kafka (or other real-time streaming tools), and workflow orchestrators like Airflow.
Experience using GenAI tools for software development (such as Cursor, Claude Code, Codex, etc).
A strong builder mindset, with experience turning ideas into working solutions
Algorithmic experience, including developing and optimizing machine learning models and implementing advanced data algorithms.
Experience working with cloud ecosystems, preferably AWS (S3, Glue, EMR, Redshift, Athena) or comparable cloud environments (Azure/GCP).
Expertise in extracting, ingesting, and transforming large datasets efficiently.
A passion for sharing knowledge, fostering a supportive engineering culture, and engaging in collaborative problem-solving with your peers.
Bonus Points:
Hands-on experience working with Vector Databases and embedding techniques, with a focus on search, recommendations, and personalization.

Requirements:
Fluent in English and Hebrew - written and verbal
7+ years of experience developing enterprise systems in C# .NET Framework 4.6+ and Dotnet 5.0+
6+ years of experience with SQL, preferably SQL Server
nHibernate / Entity Framework
Strong communication skills
Experience or understanding of Domain Driven Design
Cloud Architecture - preferably AWS
Docker / Containers
Specflow and automated testing - developers test their code
Financial industry / accounting experience or understanding is helpful, but not required
Experience designing and developing distributed systems and event driven architectures is preferred. Ideally with understanding or exposure to NServiceBus RabbitMQ Idempotency

Requirements:
7+ years of experience in software development
Deep experience in at least one OOP language (e.g., Python, C#)
Experience with cloud-native environments and containerization (Docker, Kubernetes).
Familiarity with scalable architecture, distributed systems, and performance optimization
Strong understanding of testing strategies, code quality, and security best practices
Fluent in English and Hebrew - written and verbal
Experience with fintech, global teams, or scaling SaaS - Bonus
Bachelors degree in computer science or equivalent experience

Requirements:
B.Sc. in Computer Science from a leading university OR Alumnus of an elite military technology unit - MUST.
At least 5 years of hands-on backend software development experience, primarily in Node.js - A MUST.
Deep knowledge of the JS event loop and asynchronous programming. - A MUST.
Practical experience with frontend development (e.g., React) and a strong willingness to contribute to client-side development when necessary to deliver end-to-end features - A MUST.
At least 5 years with Cloud Computing across at least one of the big three providers (AWS, Azure, GCP), with a focus on Cloud-Native services. This includes expertise in serverless computing, managed container orchestration (EKS/AKS/GKE), and auto-scaling strategies beyond basic IaaS/VM management - A MUST.
Proven experience designing scalable services using Microservices Architecture and related patterns (e.g., Service Mesh, API Gateway, BFF).
Strong understanding of Event-Driven Design (e.g., high-throughput message brokers like Kafka, RabbitMQ, SQS) and Domain Driven Design (DDD) principles.
Experience with high-speed in-memory state management (e.g., Redis) and relational data stores (e.g., PostgreSQL).
Hands-on experience with containerization technologies, specifically Docker and basic Kubernetes usage.
Deep understanding of Infrastructure as Code (IaC) principles. Proven experience managing cloud infrastructure programmatically using tools like Terraform, AWS CDK, or Pulumi (we treat infrastructure as software) - A Big Advantage.
Deep expertise in designing highly secure, multi-tenant SaaS solutions, ideally with knowledge of Zero Trust Architecture (ZTA), mTLS, and secure edge-to-cloud communications.
Strong understanding of CI/CD concepts and automation tools.
Team player, with strong communication, collaboration, and active listening.
Agile/Scrum environment expertise.

Experience designing data pipelines for high-volume time-series telemetry and implementing long-term, cost-optimized data retention strategies (e.g., Object storage tiering).
Experience with Geospatial processing (GIS), mapping technologies (Map tile services, GeoJSON, OGC standards), and implementing spatial rules/geo-fencing.
Advanced Kubernetes experience (Operators, CRDs, Helm) for complex deployment scenarios.

Requirements:
Requirements:
At least 5 years of hands-on software development experience in Python - A MUST.
Deep knowledge of Object-Oriented (OO) programming - A MUST.
B.Sc. in Computer Science or Engineering, or relevant military courses and experience.
Team player, with strong communication, collaboration, active listening, and problem-solving skills.
Proven experience developing real-time stream processing solutions
Agile/Scrum environment expertise.

Advantages:
Proven experience in C++ development.
Strong understanding of CI/CD concepts, including automation concepts.
Multi-process/threaded application knowledge.
Extensive startup experience.
Knowledge of Networking and Operating Systems fundamentals.

Requirements:
Requirements:
At least 5 years of hands-on software development experience in Node - A MUST.
At least 5 years of hands-on software development experience in React - A MUST.
Deep knowledge of JS event loop - A MUST.
B.Sc. in Computer Science or Engineering, or relevant military courses and experience.
Team player, with strong communication, collaboration, active listening.
Agile/Scrum environment expertise.

Advantages:
Python 3.6 and above experience.
Experience enriching and optimizing development using dev-assisting genAI tools (such as Cursor, CoPilot or ClaudeCode).
Strong understanding of CI/CD concepts, including automation concepts
Multi-process/threaded application knowledge.
Extensive startup experience.
Knowledge of Networking and Operating Systems (Linux) fundamentals.

Requirements:
Requirements:
Bachelors or Masters degree in Electrical Engineering, Computer Science, or a related field.
3-5 years of proven experience in RF testing and measurement techniques - Must.
Strong proficiency in Python programming.
Strong understanding of RF fundamentals, calibration procedures, and test standards.
Proven capability working with RF test equipment (VSGs, Spectrum Analyzers, network analyzers, etc.).
In-depth knowledge of RF calibration procedures and standards.
Ability to design and build complex RF test setups using attenuators, couplers, and other RF components.

Advantages / Nice to Have:
Familiarity with drone RF systems, including communication protocols and regulatory requirements.
Experience with industry-standard automation tools (e.g., Jenkins, ELK) and software development processes (e.g., Agile, CI/CD).
Experience with version control systems (e.g., Git) and documentation practices.
Knowledge of wireless communication standards (e.g., Wi-Fi, cellular technologies).