לוח משרות דרושים מהנדס תוכנה משרה מלאה, לחיפוש זה נמצאו 574 משרות

We are looking for someone who operates independently and leads projects, not someone who waits to be handed a task. You will own initiatives from idea through production, collaborate with product, design, and hardware teams on Bluetooth/BLE and IoT integrations, and mentor other engineers along the way.
This role is fully onsite.

Responsibilities
As a Senior Software Applications Engineer, you will shape the architecture and quality of our mobile applications and the Python services that power them. You will work end to end, from native iOS interfaces down to the hardware our products communicate with, setting technical direction and the standards other engineers build upon.

Analyze and investigate RF signals across the electromagnetic spectrum.
Identify and diagnose spectrum anomalies and mitigate electromagnetic interference (EMI).
Operate measurement equipment such as Spectrum Analyzer, Network Analyzer, and Signal Generator.
Collaborate with technical teams to implement RF solutions.
Job location- Central Israel
scope of hours: 100-160 hours.

We are looking for an ML Engineer to join a research-oriented group developing physics-informed neural networks for advanced sensing and optical measurement systems. The role focuses on training, validating, and improving neural network models that combine data-driven learning with physical modeling, simulation, and experimental measurements.

Responsibilities
Develop, train, and evaluate neural network models for physics-based sensing and reconstruction tasks.
Incorporate physical knowledge into ML models through data generation, model architecture, loss functions, constraints, or regularization.
Work with simulated and experimental datasets, including data. preprocessing, augmentation, validation, and error analysis.
Build robust training pipelines using Python and modern ML frameworks such as PyTorch.
Compare model predictions against ground-truth data from simulations, optical experiments, or measurement systems.
Collaborate with physicists and optical engineers to understand underlying physical models and translate them into ML workflows.
Analyze model performance, identify failure modes, and improve generalization from simulation to real-world data.
Design experiments to evaluate model robustness, sensitivity, uncertainty, and accuracy.

Were looking for a Senior Backend Engineer to join our growing team.

Responsibilities:
Design and build scalable backend services and APIs that power Jits open security platform.
Develop serverless architectures on AWS, focusing on reliability, performance, and scalability.
Collaborate closely with product and security teams to translate requirements into clean, effective technical solutions.
Own delivery end-to-end: architecture, implementation, automated testing, CI/CD, and production monitoring.
Champion best practices around code quality, documentation, observability, and security-by-design.
Contribute to technical discussions and share knowledge with teammates on backend architecture, cloud infrastructure, and development best practices.

We are seeking a skilled Backend Engineer to join our dynamic team. This role involves designing, developing, and maintaining scalable backend systems to support our innovative products.

Responsibilities
Take part in developing the worlds leading ecosystem-security solution
Solve complex engineering problems.
Take an instrumental part of our platform and companys growth.
Lead key projects, addressing security, scalability, and performance challenges.
Collaborate with engineering and business leads across the company to define milestones and deliveries on very short time frames for new functionality to be added to existing systems.
Work in a dynamic, fast paced startup environment where you can see the direct impact of your contributions on the companys success. You'll have the freedom to experiment, challenge the status quo, and shape the direction of a product thats redefining the future of ecosystem security.

We are currently seeking an experienced Full-Stack Engineer to join our team.



Role & Responsibilities:

You will be delivering scalable web applications from idea to production , while taking care of all aspects of software development-from technologies and security to scalability and reliability processes.

End-to-End Ownership: You will have full ownership of your features from the architecture level, through design, and finally implementation.
Cloud Infrastructure: Be part of the design, maintenance, monitoring, and troubleshooting of our cloud applications and infrastructure.
Technical Excellence: Drive technical excellence, high product quality, innovation, and timely delivery in an agile, production-critical environment.

Your Role:
Lead the design and development of complex, high-performance, backend services within the One ecosystem, ensuring modularity and long- term maintainability.
Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.
Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.
Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.
Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.
Take a production-first approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.

As a Senior AI Engineer in the global CTO group, you will play a central role in building the next generation of AI-powered security capabilities across our product portfolio. This role is focused on rapid prototyping, experimentation, and innovation, turning emerging ideas into working product features that can scale across multiple products and technology stacks.

You will design and build AI-driven systems end-to-end, from agent-based workflows and model integrations to backend services, data pipelines, and product-facing capabilities. You will work closely with product, engineering, and research teams across the company to explore new use cases, validate ideas quickly, and bring impactful AI features into production.

This role is ideal for an experienced AI engineer who enjoys moving fast, working across boundaries, and building real production systems, not just experiments. Your work will directly influence how AI is embedded across our platforms and how customers experience secure AI at enterprise scale.

Your Role:
Lead the design and development of complex, high-performance, backend services within the One ecosystem, ensuring modularity and long-term maintainability.
Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.
Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.
Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.
Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.
Take a production-first approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.

Your Opportunity:
Work on everything running on our OT appliance from network data collection and proprietary protocols to sophisticated logical algorithms, data manipulations, and APIs.
Own your projects end-to-end, including design, development, testing, and deployment within an Agile environment.
Integrate AI to proactively identify security threats.
Build high-performance APIs and data-intensive systems primarily using Go.
Contribute to the transformation of our core technology toward cloud- integrated architectures and advanced predictive analytics.

Your Role:
Lead the design and development of complex, high-performance, backend services within the One ecosystem, ensuring modularity and long- term maintainability.
Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.
Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.
Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.
Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.
Take a production-first approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.

Your Role:
Design, develop, and maintain complex, scalable, and high-performance systems with a focus on writing clean, efficient, and maintainable code.
Collaborate with cross-functional teams, including product managers and architects, to implement technical solutions aligned with business objectives.
Provide input on architectural design and participate in technical planning to ensure long-term maintainability and compliance with standards.
Identify and troubleshoot production issues, conducting root cause analysis and implementing fixes to ensure system reliability.
Contribute to code reviews and technical discussions, sharing knowledge and fostering a culture of collaboration and continuous improvement.

Your Opportunity:
Develop critical components and systems that drive business outcomes, while maintaining and enhancing core infrastructure for scalability and reliability.
Participate in the design and development of new features, integrations, and enhancements to software applications, databases, and interfaces.
Support and improve automated testing and deployment processes to ensure smooth delivery of new features and system updates.
Collaborate with other senior engineers to drive the technical direction of projects and ensure high-quality software delivery.

Your Opportunity:
Operates as a Product Solutions Engineer with a dual-expert skillset: deep L2-L7 networking knowledge and the ability to read, write, and debug production code.
Serve as the primary technical bridge between the Product team and strategic customers, focusing 75% on customer-facing engineering initiatives.
Diagnose and resolve system issues using scripting, hot-patching, or by implementing long-term solutions within the system code.
Act as a liaison between Clients, Support, Sales, and R&D to translate complex customer requirements into engineering specifications.
Engineer solutions for unique deployment challenges and integration gaps by developing 3rd party integrations or custom scripts.
Leverage expert networking knowledge to troubleshoot complex connectivity issues.
Advocate for product features and quality improvements based on field feedback.

we are the leading AI-powered business management platform for service-based business owners. Designed to enhance - not replace - independent professionals. our companys AI-powered tools help businesses attract leads, connect with clients, book projects, and manage payments more efficiently. With AI seamlessly integrated into every workflow, entrepreneurs can focus on their craft while scaling their businesses with confidence. Since its founding in 2013, our company has powered over 25 million client relationships and processed more than $12 billion in transactions, helping independent businesses grow faster and smarter.
Our culture is built on five core values that inform everything we do. We encourage collaboration, feedback, ownership, and maintain a growth mindset. We know experience comes in many forms - some visible on your resume, others not. No one candidate will be a 100% perfect match to our description, so if you thrive in a fast-paced, intellectually curious environment and have relevant experience, we encourage you to apply.
Here are a few of the things you will do:
Play a critical role in our companys strategic AI initiatives, influencing product vision and customer experience
Live and breathe the entire company codebase, from the backend bytes to the frontend bits
Own your features from product design, through tech design all the way to production and customer usage
Work as part of a Full Stack agile squad, working in high velocity, delivering great quality
Inspire others. Lead by example and make sure our users get the fabulous experience they deserve.

We are looking for a talented Architect to join us. As a Data Architect, you will be the organizational point of contact for all things related to data persistence and architecture. You will work closely with engineering teams across the Product, Platform, and Data groups to design, govern, and evolve our data models, databases, and data-related systems. Your goal will be to ensure scalability, reliability, security, and efficiency for all data storage and retrieval across the organization.
A few of the things you will do:
Be the primary point of contact and subject matter expert for data persistence across the entire engineering organization.
Define and govern the data architecture strategy, standards, and best practices for relational, NoSQL, and data warehouse systems.
Partner with engineering teams from product, platform, and data groups to design and implement scalable and robust data models for new and existing services.
Lead the design and optimization of the organizations data flows. You will help to ensure that data moves efficiently, consistently, and with high quality across all systems and domains.
Evaluate and recommend new technologies and data solutions to meet evolving business needs.
Drive initiatives to improve data quality, consistency, and integrity across all production systems, from ideation to hands-on execution.
Establish, maintain, and communicate documentation for all data models and architectural decisions.