לוח משרות דרושים מהנדס תוכנה בכיר משרה מלאה

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:
5+ years of hands-on experience in client-side development.
Strong experience with Angular-MUST
Proven experience using AI tools in development workflows.
Strong understanding of software fundamentals and system design.
Experience influencing technical decisions and reviewing code.
Experience with Git (GitHub advantage).
Strong ownership, communication skills, and collaborative mindset.
Nice-to-Have:
Experience with Playwright or other modern testing frameworks.
Backend or full-stack development experience.
Familiarity with cloud environments and distributed systems.
Experience with data-intensive or security-sensitive systems.
Previous mentoring or technical leadership experience.
Ability to coach others in effective use of AI-assisted development.

Requirements:
5+ years of professional experience with C# OR Java.
Strong hands-on experience with the .NET ecosystem (.NET Framework, .NET Core, ASP.NET Core, Kestrel).
Bachelors degree in Computer Science or a related field from university.
Experience designing, building, and operating microservices on Kubernetes.
Proven ability to own features e2e - from planning and design through development and unit testing.
Excellent communication skills and a strong team-oriented mindset.
Preferred
Experience with Microsoft Azure (e.g., App Service, AKS, Service Bus, Key Vault).
Experience developing and publishing reusable .NET libraries as NuGet packages.

Requirements:
Experience: 5+ years of experience in a backend, ML engineering, or MLOps role with a demonstrable track record of successfully deploying and maintaining code in high-volume production environments.
Programming Mastery: Strong proficiency in Python with a deep understanding of software engineering principles, design patterns, and debugging.
Applied ML/LLM Knowledge: Hands-on experience developing and fine-tuning models using frameworks like PyTorch, HF ecosystem and deepspeed, alongside practical experience with LLMs, prompt engineering, and vector databases.
Data & MLOps Infrastructure: Strong experience with Data/MLOps tools (e.g., MLflow, Airflow, DVC) and deployment technologies (CI/CD, Kubernetes, containerization).
Big Data & Cloud: Proficiency with big data platforms (like Databricks or PySpark) and a solid understanding of public cloud platform architectures.
Ownership: Exceptional problem-solving skills with the ability to take full ownership of complex tasks from the design phase through to full production implementation.
Advantages
Prior experience building cybersecurity, data protection, or enterprise threat detection products.
Familiarity with user behavior-based anomaly detection or metadata analytics.
Experience with advanced retrieval-augmented generation (RAG) frameworks.

Requirements:
5 years of experience in building complex backend systems.
Experience in C# / JAVA / .NET
Expertise in microservice architecture
Proficiency in working with various backend technologies such as databases, caches, k8s, containers, Kafka and cloud environments.
Excellent problem-solving skills and ability to work well in a team.
Experience in the cybersecurity space is an advantage.

Requirements:
What You'll Need
3+ years building production web applications with modern frameworks
Strong understanding of component-based frontend architecture
Experience with RESTful APIs and database design principles
Proficiency in a statically-typed language (TypeScript, Go, Java, etc.)
Knowledge of testing strategies (unit, integration, e2e)
Understanding of containerization and deployment pipelines
Experience with message queues and event-driven architectures
Primary Stack Components
React (TypeScript)
NestJS (TypeScript)
MongoDB and Postgres
RabbitMQ
Kubernetes.

Requirements:
5+ years of experience in cloud infrastructure engineering, with at least 3 years focused on cloud financial management/FinOps
Deep understanding of major cloud platforms (AWS, Azure, GCP) and their pricing models
Experience using FinOps tools
Strong skills in data analysis and visualization tools
Proficiency with infrastructure as code
Experience with cost allocation methodologies and chargeback models
Solid understanding of financial concepts as they apply to technology investments
Excellent communication skills with the ability to effectively communicate complex technical and financial concepts to diverse audiences
FinOps Foundation certification preferred (FinOps Certified Practitioner)
Technical Skills
Cloud Platforms: AWS, Azure, GCP (certification in at least one platform preferred)
Experience with AI/ML for FinOps (cost optimization, anomaly detection, forecasting)
Programming/Scripting: Python, Bash, PowerShell
Data analysis and visualization tools: PowerBI
Infrastructure as Code: Terraform, CloudFormation
Containerization and Orchestration: Docker, Kubernetes, ECS
CI/CD: GitHub Actions, Jenkins, GitLab CI
Database Systems: Experience with SQL and NoSQL databases.

Requirements:
6+ years of relevant DevOps experience in large-scale production environments
Extensive experience in cloud computing technologies, preferably AWS.
Experience with ELK stack and monitoring solution like Grafana/Prometheus
Proven experience with Infrastructure as Code (IaC) tools such as Terraform and Terragrunt.
Proficiency with GitOps and CI/CD methodologies and tools like ArgoCD, Crossplane
Proven experience working with Kubernetes (K8s) in production environments.
DevOps Security Mindset: Deep understanding of secure development lifecycles and infrastructure, with experience in building and managing the full application release cycle (CI/CD).
A solid understanding of computer networking fundamentals, k8s Ingress, and cloud security concepts.
Strong ability to lead, design, and execute cross-organization projects
Excellent communication skills and the ability to execute projects from design to implementation.
Experience with FEDRAMP -An advantage.

Requirements:
M.Sc. or B.Sc. in Computer Science (CS), Electrical Engineering (EE), or equivalent practical experience from an accredited institution.
Exceptional coding skills with 5+ years of advanced experience in C or C++.
Experience in distributed parallel systems-Advantage.
Demonstrated Leader qualities-Advantage.

Requirements:
The skills and qualities youll bring include:

A minimum of 8 years experience in software development using Python/GO/Node.js or other equivalent programming languages

Excited by technology, curious and eager to learn, with the ability to mentor more junior members of the team

The attitude and ability to thrive in a high-growth, evolving environment

Collaborative team player who has the ability to partner with others and drive toward solutions

Strong creative problem solving skills

Solid communicator with the ability to clearly convey objectives and rationale whilst fostering commitment from others both within the team and cross functionally

Brings a customer-first mindset to engineering, and integrates customer impact into everyday decision making

Excellent attention to detail

Approaches change with openness and curiosity, seeking to understand the why and helping team adapt quickly and effectively

Demonstrable experience of delivering complex solutions to customers

Demonstrable experience of instigating continuous delivery and continuous integration patterns

Core Value Embodiment: Embody our core values to foster a culture of excellence that drives meaningful impact and collective success

Requirements:
Who You Are:
Youre a backend engineer with at least 5 years of professional experience who values code simplicity and performance. Youve shipped software that uses LLMs to production
You are passionate about Generative AI and its ability to help software engineers be more productive
You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
You want to work in a fast, high-growth startup environment that respects its engineers and customers
You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience.

Requirements:
B.Sc. Computer Science Degree (or equivalent)
Deep understanding and practical experience of backend development (Node / Python / Ruby / PHP / Go / etc.)
At least 3 years of experience in advanced web development using OOP, Design Patterns and Best Practices
Experience and deep knowledge in database design & usage with emphasis on RDBMS (MySQL, pgSQL) / Elasticsearch / Redis
Practical experience in Linux / AWS / Git
Knowledge in CI/CD, Dockers, Web Servers, Protocols, Data Flows and Web Security Standards
Excellent verbal and written communication skills
Extensive knowledge of engineering principles and procedures
Excellent organizational and time management skills
Strong analytical and problem-solving skills
Strong supervisory and leadership skills
Proven track record in commercial-grade enterprise software development
Personal Qualities:
Passionate about learning and always seeking opportunities to expand your knowledge.
A self-starter with great instincts and the ability to discern upcoming needs.
Outgoing and personable and takes pride in being a positive, helpful presence around the office.
A team player with the time management and organizational skills to work independently as well.

Requirements:
Required Qualifications
5+ years of experience in distributed system programming
3+ years of experience with NPU programming (Triton, CUDA, HIP, OpenCL)
Expert-level C/C++ programming with focus on performance optimization
Expert-level Python programming with focus on DL/ML frameworks (PyTorch/JAX/etc)
Deep understanding of NPU architecture, memory tiering, and programming models
Knowledge of NPU runtime systems
Experience with performance profiling and optimization tools
Strong problem-solving and debugging skills
Experience with version control systems, Ticking system and collaborative development
Team player with excellent communication skills
Fast learner, highly organized, detail-oriented with high motivation
Preferred Qualifications
Experience with NPU software stack development
Experience with large-scale NPU systems (100+ NPUs)
Experience with DL/ML workloads (oriented AI) and distributed training / inferencing
Familiarity with containerization and orchestration.

Requirements:
● 3+ years of experience in system programming (C/C++, Python, Rust/GO)
● Expert-level C/C++ and Python programming with a strong focus on performance, memory management, and low-level optimization
● Deep understanding of the TCP/IP stack, Ethernet networking protocols (L2/L3) and Linux kernel network subsystem
● Solid knowledge of NIC architecture, PCIe, and hardware/software interfaces (e.g., DPDK, RDMA verbs, ibverbs)
● Hands-on experience with network performance profiling and debugging tools (perf, ethtool, tcpdump, wireshark, iperf3, netperf)
● Strong analytical and problem-solving skills with a systematic approach to debugging complex system issues
● Experience with version code repository (Git), tickets tracking (Jira/GitHub Issues), and collaborative development workflows
● Excellent written and verbal communication skills; able to document technical designs clearly
● Team player with high motivation, attention to detail, and the ability to work effectively in a fast- paced environment
Preferred Qualifications
● Experience with RoCEv2 and lossless Ethernet transport in production environments
● Experience with DPU/SmartNIC programming and firmware development (e.g., NVIDIA BlueField, Marvell Octeon, AMD Pensando)
● Knowledge of TLS/SSL offload and in-network security features for NIC hardware
● Experience with GPU programming frameworks (CUDA, ROCm) and GPU-Direct
● Familiarity with containerization and orchestration platforms (Docker, Kubernetes, Helm) in AI/HPC environments
● Experience working in hyperscale AI datacenter or cloud networking environments.

Requirements:
5+ years of experience in software engineering.

Proficiency in NodeJS and React (or deep JavaScript expertise)

Strong understanding of both frontend and backend systems

Autodidact and self-driven with a problem-solving mindset

Excellent communication and collaboration skills

Comfortable in a fast-paced, startup environment

Academic degree in Computer Science (or similar)

Familiarity with CI/CD pipelines and modern DevOps practices is a plus