לוח משרות דרושים הייטק תוכנה

We are looking for a hands-on Product Security Analyst to join our security team and play a key role in improving the security posture of our products.

This role combines deep technical work with security analysis and close collaboration with R&D teams to identify, assess, and remediate security issues throughout the product lifecycle.

We are looking for a Big Data Software Engineer to join our growing team. In this role, you will be responsible to design and development of our big data processing engine.

Responsibilities
Design and development of high-quality big data processing engineer

Identify and proactively address potential product risks and challenges and ensuring success

Work closely with stakeholders to transform requirements into technical specifications

Ensure that the code is consistent with industry coding standards and best practices

Take a deep dive into the technical details and provide expert advice and solutions

Act as a feature owner, driving the design, development, and delivery of key components in high-performance monitoring system.

Take technical ownership of major projects, ensuring high-quality architecture, performance, and scalability.

Design and implement efficient algorithms and data structures to optimize system functionality.

Identify system bottlenecks and implement optimizations for high-speed performance in a multi-threaded, real-time environment.

Oversee the full software development lifecycle, from architecture and design to deployment and production support.

Work closely with cross-functional teams (Product, DevOps, QA, R&D) to define technical requirements and align on project goals.

Conduct code reviews, enforce best practices, and drive technical improvements across the codebase.

Stay up-to-date with emerging technologies, evaluating their potential impact on system performance and scalability.

We are looking for a Full-Stack Engineer who loves building complete, real-world products, someone who is comfortable moving between backend services, modern frontend applications, and cloud infrastructure. This role is perfect for an engineer who enjoys ownership, wants to influence architecture decisions.
What youll be building:
End-to-end product features - implementing rich frontend interfaces in React/Next.js.
Scalable backend services integrate with Python (FastAPI) or Node.js, with a strong emphasis on performance, resilience, and clean code.
Multi-cloud components across AWS, GCP, and Azure, deploying containerized workloads using Docker, Cloud Run, Fargate, Azure Functions, etc.
Identity and access flows integrating OAuth2, OIDC, and SAML for enterprise-grade SSO.
Data models and storage layers, including relational and NoSQL databases, indexing strategies, and efficient querying patterns.
Secure-by-design features, integrating best practices from OWASP/CWE.
Customer-facing integrations, including onboarding identity providers and supporting security and architecture reviews.

We are seeking an experienced Senior Software Engineer with deep expertise in C++ development on Linux to join our team. If youre passionate about building high-performance systems, designing scalable software and optimizing complex architectures, we want to hear from you!

Responsibilities
Develop high-performance systems in C++ on Linux, ensuring scalability and reliability.

Design software solutions using design patterns to enhance maintainability and efficiency.

Collaborate with cross-functional teams to align software design with business objectives.

Troubleshoot and optimize systems for improved performance, scalability and reliability.

Contribute to real-time systems, ensuring low-latency performance.

Implement multithreading and multiprocessing for optimal resource utilization.

Ensure code quality through peer reviews, unit testing and continuous integration.

Contribute to architectural discussions and long-term technology roadmaps

As a key member of the team, you will be responsible for developing a state-of-the-art functional simulator for the family of devices. This simulator is a critical product that streamlines the development process and significantly reduces time-to-market.

In this role, you will:

Collaborate closely with the ASIC Architecture team to implement an accurate and efficient software model based on the architecture specifications.

Partner with both Software and Hardware design teams, providing support as they use the simulator as the golden reference for hardware implementation.

Ensure the simulator meets the highest standards of performance, reliability, and usability.

Contribute to defining best practices and methodologies for model development, validation, and integration. 

We are seeking a Software Engineer with strong C++ expertise on Linux to join our team. The ideal candidate demonstrates exceptional analytical and logical thinking, the ability to independently infer system behavior from complex data flows, and a deep understanding of performance-critical software.

You will work on designing and optimizing scalable, high-throughput systems, navigating complex architectures, and reasoning about real-world network behavior. Familiarity with telecom environments, protocols, and large-scale traffic systems is highly valued, along with a mindset that proactively identifies problems, deduces root causes, and drives solutions end-to-end.

We work with modern cloud-native architectures, large language models (LLMs), multimodal AI, autonomous agents, and advanced analytics platforms to solve complex business challenges. As part of our companys Technology Consulting practice, we collaborate closely with clients, engineers, data specialists, and business stakeholders to translate emerging technologies into scalable, production-grade solutions.
Role Overview
We are looking for a Data & AI Project Manager to lead the delivery of AI and Generative AI-based solutions for our clients. In this role, you will own projects end-to-end - from initial scoping and requirements definition through development, deployment, and continuous improvement.
This role is well-suited for a technically oriented project or product manager who enjoys working at the intersection of data, AI, engineering, and business, and who thrives in fast-paced, complex environments.
Responsibilities
Lead the full lifecycle of AI and data projects, from ideation and design through implementation, deployment, and ongoing optimization.
Translate business and user needs into clear system requirements, technical specifications, and structured delivery plans.
Define project scope, priorities, milestones, and deliverables, ensuring execution on time, within scope, and within budget.
Collaborate closely with development, data, and infrastructure teams to support efficient delivery and resolve technical dependencies.
Drive alignment between technical solutions and business objectives, ensuring delivered solutions generate tangible client value.
Manage multiple stakeholders on both client and internal sides, maintaining clear communication and expectations.
Support the design of intuitive, user-centered AI solutions and workflows.
Identify risks, manage trade-offs, and proactively address challenges throughout the project lifecycle.

our company's Monday.com global center of excellence and product development department is seeking an implementer in the worlds of Monday.com for the design and development of automated processes
Responsibilities:
Designing and writing requirements for clients abroad for complex business processes
Leading projects at a technical and business level
Leading extensive processes in the organization and driving a project to an excellence.

We are seeking for a talented Senior Java Developer to join our development center in Israel, a fast-paced and innovative environment.
Responsibilities:
Backend Development: Design and develop scalable, high-performance Java-based microservices.
Microservices Architecture: Take part in the design, implementation, and evolution of a distributed microservices ecosystem
Business Process Orchestration: Develop and maintain services that drive complex, multi-step business processes across multiple systems
System Integration: Collaborate with cross-functional teams to integrate services with internal and external systems
Performance & Scalability: Optimize services for high throughput, reliability, and fault tolerance in a large production environment
Technical Leadership: Participate in design reviews, propose architectural improvements, and contribute to best practices across the team.

We are looking for a driven Technology Implementation Specialist (Microsoft 365 & Copilot) to support the successful adoption of Microsoft 365 and AI-based productivity tools for enterprise clients. The role involves leading workshops, onboarding sessions, and user trainings as part of end-to-end implementation projects, alongside hands-on work within customer environments.
Key Responsibilities:
Lead implementation projects for Microsoft 365 and AI-based productivity tools with global clients.
Conduct discovery and needs assessment sessions to define adoption strategies and technical solutions.
Design and deliver training programs tailored to various user groups.
Deliver professional trainings, workshops, and onboarding sessions (in-person and remote) for end users, managers, and IT teams.
Create clear and user-friendly documentation, playbooks, and learning materials.
Support clients post-implementation, helping ensure successful and sustained adoption.
Collaborate with cross-functional teams and adapt solutions to meet both technical and business needs.
Utilize low-code/no-code tools (e.g., Power Platform) to build simple agents, bots, or workflows where relevant.
Stay updated on trends and new features within the Microsoft ecosystem and modern work technologies.

We are looking for a Technical Support member with experience and technical background to handle case reproduction in the support LAB.
Key Responsibilities:
As a support LAB assistant, you will be required to simulate issues in the LAB and maintain the LAB environment for our global and domestic employees.
You will work together with our global and local interfaces to simulate problems on the LAB and provide feedback to the agent that handling the case.
Use Salesforce to manage cases.
Ability to work on flexible hours.

We are looking for an experienced, opinionated, and highly technical Staff Data Engineer to define the long-term direction of our Data Platform.
This role is ideal for a senior data leader who combines deep hands-on expertise with strong architectural judgment, enjoys mentoring others, and takes full ownership of complex, high-scale data systems.
You will drive platform architecture, set engineering standards, and lead the design and delivery of scalable batch and streaming data solutions on AWS.
Key Responsibilities:
Technical Leadership & Architecture:
Own and evolve the overall data platform architecture-scalability, reliability, security, and maintainability.
Lead the long-term strategic direction of the platform, balancing performance, cost, and operational excellence.
Introduce and drive adoption of modern data paradigms: lakehouse (Iceberg), event-driven pipelines, schema-aware processing.
Data Lake & Architecture Ownership:
Design, model, and evolve the Data Lake architecture, including:
Storage layout and data organization
Data formats and table design (e.g., Iceberg)
Batch and streaming ingestion patterns
Schema governance and lifecycle policies
Define and promote best practices for data modeling, partitioning, and data quality.
Ensure the Data Lake supports analytics, ML workloads, and operational systems at scale.
Platform Engineering:
Design and build high-scale ETL/ELT pipelines leveraging Apache Spark (EMR/Glue) and AWS-native services.
Optimize production-grade pipelines using S3, Athena, Kinesis, Lambda, Step Functions, and EKS.
Lead the rollout of modern patterns such as lakehouse architectures and event-driven data pipelines.
Security & Governance:
Ensure alignment with AWS security best practices-IAM, encryption, auditing, and compliance frameworks.
Partner with security and governance teams to support regulated and sensitive data environments.
Mentorship & Collaboration:
Serve as a technical mentor to data engineers; elevate team capabilities.
Lead architecture reviews and cross-team design discussions.
Work closely with Data Science, ML Engineering, Backend, and Product teams to deliver end‑to‑end data solutions.

We are seeking for a talented Data Science Team Lead to join our development center in Israel, a fast-paced and innovative environment. You are a passionate data professional with proven experience in building and growing high-quality data teams, which will play a pivotal role in driving the execution and delivery of advanced Machine Learning models and algorithms, through mentorship and hands-on development, and by working closely with clients to understand their needs and key objectives.
Responsibilities :
Serve as a team expert in the most advanced Machine Learning methodologies, helping to plan and implement successful and impactful data science projects
Manage experienced team of data scientists, providing career guidance and performance evaluation to develop and retain talent
Solve non-routine analysis problems based on high-dimensional, complex data sets, by actively mentoring and coding
Lead deployment of large-scale data pipelines, ensuring a seamless delivery
working directly with key client executive decision makers and acting as the leading expert for best-practice data-driven solutions
Establish strong cross-functional relationships throughout the organization to improve our customer experience and set of offered skills.

We are seeking an experienced LLM & Agentic Systems Engineer to join our AI squad at our company. This role blends deep hands-on engineering with architectural responsibility and client-facing advisory work. You will design, build, and operate production-grade LLM and multi-agent systems, working on both greenfield initiatives and the evolution of existing GenAI platforms. You will play a key role in shaping technical direction, best practices, and delivery standards across the GenAI practice.
Key Responsibilities
GenAI Development & Implementation
Build end-to-end GenAI solutions from POC through production deployment
Design and implement backend microservices architectures for GenAI applications using Python
Design, implement, and maintain production-grade Python services with a focus on code quality, performance, and reliability
Architect and develop multi-agent systems, orchestration layers, and autonomous workflows
Integrate and optimize LLMs and GenAI APIs across complex systems
Evaluate and improve system performance, scalability, reliabililty, and cost efficiency
Client Engagement & Advisory
Lead technical discussions with clients and translate business needs into technical architectures Present GenAI solutions, design decisions, and trade-offs to technical and non-technical stakeholders Provide strategic technical guidance on GenAI adoption and system design
Cloud & Platform Ownership
Deploy and manage GenAI systems across GCP, Azure, and AWS Leverage cloud-native AI services (Vertex AI, Azure OpenAI, SageMaker, etc.) Own production environments, monitoring, and operational excellence
Continuous Learning & Practice Development
Evaluate emerging GenAI models, frameworks, and techniques Define and refine best practices for GenAI system development and deployment Contribute to internal accelerators, methodologies, and knowledge sharing.