לוח משרות דרושים הייטק תוכנה משרה מלאה, לחיפוש זה נמצאו 2,684 משרות

The role involves developing advanced CRM solutions for enterprise clients, participating in complex implementation projects, and delivering scalable, high-quality systems aligned with business needs. Responsibilities
* Design and develop custom solutions on Microsoft Dynamics 365 / CRM
* Develop PCF Controls and client-side components using JavaScript / TypeScript
* Implement plugins and custom workflows using C # /.NET
* Build and maintain integrations with external systems using Web API / REST / OData
* Work within Managed Solutions environments
* Take part in large-scale, complex CRM implementation projects
* Collaborate with cross-functional teams to translate business needs into technical solutions
* Utilize Azure services such as Functions, Logic Apps, and Service Bus
* Manage code and deployments using Azure DevOps and Git

The CRM Division within the Microsoft Activity is looking for a skilled Microsoft Dynamics CRM Developer to join our team, contribute to innovative projects, and make a real impact in a dynamic and professional environment.
* Development and customization of Microsoft Dynamics CRM (On-Premises and Online).
* Implementing Workflows, Activities, Email Configuration, and system extensions.
* Client-side and server-side development, including version deployments across environments.
* Designing and developing integrations with external systems using APIs and web services.
* Collaborating with cross-functional teams to deliver high-quality solutions.

We are looking for a Senior Embedded Firmware Engineer to join our device software team and take ownership of firmware development for our connected embedded products.

This role includes developing, maintaining, debugging, and improving production firmware running on custom hardware platforms. The position requires strong hands-on experience with RTOS-based embedded systems, networking, device security, firmware updates, hardware bring-up, and cross-functional work with hardware, system, production, and cloud teams.

The ideal candidate is someone who can own complex embedded features end-to-end, debug difficult field issues, and improve the reliability, maintainability, and scalability of production devices.

Responsibilities
Design, develop, and maintain production firmware for connected IoT devices using Zephyr RTOS on ARM Cortex-M MCUs (NXP i.MX RT); own core device software architecture and system behavior.

Implement secure device communication and connectivity: MQTT/MQTTS, TCP/IP, TLS/mTLS, HTTP, REST, certificate handling, CSR generation, and secure provisioning.

Own firmware update flows: OTA, MCUboot integration, resumable download, and safe reboot/rollback behavior.

Debug complex field and production issues: networking, memory corruption, RTOS faults, boot failures, and stack/filesystem problems.

Work with peripheral drivers and board-level interfaces such as Ethernet PHY, SPI, I2C, GPIO, flash, filesystem, and external memory.

Perform hardware bring-up, collaborate with hardware, QA, cloud, and production teams, and support device certification activities.

Write clean, maintainable, well-structured C/C++ code for resource-constrained embedded systems.

We are looking for Senior Engineers who treat AI as a core part of their workflow - people who experiment, iterate, and know how to get real value out of AI tools. Flexibility, curiosity, and a problem-solving mindset are must-haves. In this role you will have the opportunity to take ownership of the development of groundbreaking, AI-driven products and work on interesting projects inside a smart, fun, and dynamic engineering team.
This position is based out of our Jerusalem or Tel-Aviv offices and reports to the Dev Team Lead.
What you will be responsible for:
Write clean, high-quality, high-performance, maintainable code.
Ensure that the projects you work on meet business objectives and coding standards.
Support the deployment and testing of new products and features.
Collaborate with cross-functional teams to gather and analyze requirements, translating them into technical specifications.
Design and implement APIs and integrations with third-party services to enhance system functionality.
Optimize application performance through code profiling, monitoring, and refactoring as necessary.
Implement automated testing frameworks to ensure code robustness and reliability.
Participate in code reviews and provide constructive feedback to peers to foster continuous improvement.
Stay updated with emerging technologies, best practices, and industry trends to drive innovation within the team.
Assist in the establishment and enforcement of development standards and coding conventions.

We are looking for a Top University Graduate to join us as a Junior Software Engineer and make a real impact on our R&D team! In this role you will have the opportunity to take ownership of the development of amazing new products and work on interesting projects inside a smart, fun, and dynamic engineering team.
We seek an individual passionate about tackling tech challenges, with a proactive and AI first approach to push forward a love for coding and a dedication to excellence.
This is a full-time, on-site position based in our Jerusalem office in Talpiyot or Tel-Aviv office near HaShalom Train Station.
What you will be responsible for
Write clean, high-quality, maintainable code across our stack
Take ownership of features and projects end-to-end - from design through deployment
Collaborate closely with product, design, and fellow engineers to ship impactful solutions.

Were looking for a sharp, motivated Frontend Engineer to join our R&D team. This is an excellent opportunity to own real features from day one, work alongside experienced engineers, and grow fast inside a company where junior developers regularly take on meaningful product responsibilities within months of joining.
This is a full-time, on-site position based in our Jerusalem office in Talpiyot and reports to the Dev Team Lead.
What you will be responsible for:
Write clean, high-quality, high-performance, maintainable code across the frontend code bases
Ensure that the projects you work on meet business objectives and coding standards.
Support the deployment and testing of new products and features.
Collaborate with cross-functional teams to gather and analyze requirements, translating them into technical specifications.
Optimize application performance through code profiling, monitoring, and refactoring as necessary.
Implement automated testing frameworks to ensure code robustness and reliability.
Participate in code reviews and provide constructive feedback to peers to foster continuous improvement.

we are seeking for an Embedded Engineer This role requires TI-based processors (C2000) EtherCAT, CAN, Ethernet, RS-422 communication stacks Hard Real-Time, timing-critical firmware Motor control algorithms & drive-level software Full-time, Sunday-Thursday, Hybrid Location: Ness Ziona

A leading fintech information provider, delivering digital solutions in labor law, taxation, finance, welfare, and pensions.
We are looking for a Junior Product Support Specialist to deliver advanced assistance for our software products
Key Responsibilities:
Manage client onboarding and ensure smooth, effective use
Investigate and resolve first and second-level technical incidents
Perform in-depth troubleshooting and identify underlying issues
Support customers through phone, email, and other communication channels
Work with R&D on system-level problems
This is a full-time position, 9:00-18:00.
The role is hybrid, offering flexible and convenient working hours.
Our offices are located in central Israel.

We are looking for an Entry-level Customer Support Specialist to join our team. The ideal candidate will be responsible for providing exceptional customer service and support to our clients.
Responsibilities:
Respond to customer inquiries via phone, email, and chat in a timely and professional manner
Resolve customer issues and escalate complex cases to the appropriate team
Assist customers with account setup, troubleshooting, and general inquiries
Maintain accurate records of customer interactions and transactions
Collaborate with cross-functional teams to improve the overall customer experience.

As Senior Machine Learning Engineer, youll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience. The work will focus on building, deploying and serving GenAI capabilities (Agents, Tools and the orchestration between them) using the most advanced technologies and models.


Key Job Responsibilities and Duties:

Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.

Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.

Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, translation or other innovative applications.

Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.

Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.

Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

we are hiring: Senior Azure DevOps & Release Engineer! We are looking for a hands-on Senior Azure DevOps & Release Engineer to take full ownership of our CI/CD automation, release engineering, and Azure DevOps governance across the organization. Key Responsibilities:
* Design and manage pipeline approvals, quality gates, rollout strategies, and rollback-ready deployment controls from DEV to PROD.
* Build reusable YAML pipeline templates, define delivery standards, and manage Azure DevOps permissions, environments, and repository policies.
* Support and automate end-to-end deployments to AKS / Kubernetes environments.
* Build Developer self-service templates and tools to reduce manual work and improve the overall Developer experience.
* Integrate Azure Key Vault, secrets, certificates, and secure credential patterns into continuous delivery processes. Location: Modi'in

As a Machine Learning Engineer, you will work closely with experienced engineers and ML scientists to build scalable, production-grade GenAI applications. Your work will focus on designing, training, and deploying ML systems leveraging LLMs,, recommendation systems, and agent-based architectures, using state-of-the-art technologies. These solutions will directly power customer-facing experiences and play a key role in shaping the future of AI-driven travel products.

Key Job Responsibilities and Duties:

Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.

Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.

Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, chatbots, translation or other innovative applications.

Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.

Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.

Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

As a Machine Learning Engineer, Youll work with top notch engineers and machine learning scientists on bringing it to the next level and enabling optimal customer experience while having a significant impact on the business. The work will focus on data and ML foundations for reusable training, optimization and deploying causal machine learning models.



Key Job Responsibilities and Duties:

Model evaluation and optimization: Conduct detailed model evaluation metrics and validation to ensure accuracy, reliability, and scalability. Optimize model performance by fine-tuning hyper parameters, feature engineering, and applying techniques such as ensemble learning and continuous learning.

Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets for model features and data monitoring. Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance.

Building machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide personalized recommendations to users.

Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.