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DRS RADA is a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. We are looking for a motivated and hands-on Field Student to join our team in Netanya and support field engineers in preparing equipment for trials and providing remote customer support for advanced radar systems.
Key Responsibilities:
* Support field engineers in the preparation, organization, and readiness of equipment for system tests and field trials.
* Provide remote technical support to customers and internal teams, under the guidance of field engineers.
* Help track equipment status, accessories, and logistical readiness for field activities.
* Support troubleshooting activities and assist in resolving technical issues.
* Work closely with field, engineering, and technical teams to ensure smooth operational support.

we are looking for a Data Infrastructure Engineer.
Responsibilities:
Design and build data solutions that support core business goals, from enabling capital market transactions (loan sales and securitization) to providing
reliable insights for reducing the cost of capital.
Develop advanced data pipelines and analytics to support finance, accounting, and product growth initiatives.
Create ELT processes and SQL queries to bring data to the data warehouse and other data sources.
Develop data-driven finance products that accelerate funding capabilities and automate accounting reconciliations.
Own and evolve data lake pipelines, maintenance, schema management, and improvements.
Create new features from scratch, enhance existing features, and optimize existing functionality.
Collaborate with stakeholders across Finance, Product, Backend Engineering, and Data Science to align technical work with business outcomes.
Implement new tools and modern development approaches that improve both scalability and business agility.
Ensure adherence to coding best practices and development of reusable code.
Constantly monitor the data platform and make recommendations to enhance architecture, performance, and cost efficiency.

Were looking for a hands-on Devops Team Lead to build, manage, and scale a high-impact DevOps team. Youll lead infrastructure strategy, promote DevOps excellence, and drive automation and platform reliability across the organization. This role combines technical leadership with team development and operational ownership.
Your Responsibilities & Impact:
Lead and mentor a team of 5 DevOps engineers.
Own the impact of infrastructure on success by providing engineering autonomy.
Foster a culture of ownership, learning, and continuous improvement.
Grow and structure the team to support expanding infrastructure and business needs.

We are seeking a Software Developer who can see the big picture. This essential role will give you an opportunity to craft and deliver a new class of user-space applications and kernel space drivers. You will join the storage software team. The team is responsible for developing storage drivers & storage emulation solutions.

What you will be doing:

End-to-end responsibility for major features in user space and kernel applications.

Maintain and enhance storage Linux Kernel drivers.

Participate in enhancing our cutting-edge technology storage solutions
Work with partners and customers worldwide.

Drive performance tuning, usability improvements, and test automation.

we are looking for a Team Lead.
Our engineering squads are responsible for critical domains and products that power our platform and support our users' ongoing relationship with us. The teams develop scalable web platforms, backend services, and applications, and are comprised of skilled engineers across the stack (backend, frontend, and data).
As a Squad Lead, you will be responsible for the team's technical leadership, domain design, and day-to-day execution. You will collaborate closely with product managers and business stakeholders to define priorities and deliver impactful solutions that align with key business goals. We are looking for someone who can drive end-to-end ownership, balance business needs with strong engineering practices, and help shape the direction of our products.
Responsibilities:
Among your key responsibilities, you will lead a highly skilled team that architects and builds scalable systems that serve our customers and partners.
Technical Architecture - Lead the technical architecture and system design for core products and services within your domain.
Team Leadership - Guide a multidisciplinary squad of frontend, backend, and data engineers through implementation, delivery, and iteration.
Stakeholder Collaboration - Work closely with product managers and business stakeholders to translate requirements into scalable technical solutions.
Strategic Alignment - Ensure development aligns with business objectives, long-term system health, and Sunbits engineering standards.
Quality - Conduct and lead design reviews, code reviews, and performance optimization efforts.
Culture Building - Drive a culture of technical excellence, ownership, and continuous improvement.
Operational Excellence - Oversee system reliability, monitoring, and incident response within your domain.

Do you want to join a team of highly motivated and experienced project managers who drive the successful introduction of our next generation GPU/CPU based products? We work closely with internal leaders to ensure the Data Center Engineering & Operation (DCEO) team collaborate with SME to deliver datacenter capacity to provide the environment for our product team to achieve Time-To-Market. As part of the team, your knowledge of datacenter construction and project management will enable you to swiftly make the course adjustments needed to keep these complex projects on track!

What You'll Be Doing:
As the Senior Technical Project Manager, Datacenter, you will lead datacenter and superlab bring‑up programs, ensuring all MEP systems plus base network, security, and facility monitoring services are installed, tested, commissioned, and production‑ready.

Lead all aspects of program governance and multi‑project execution, driving alignment across global teams and time zones.
Gather SME inputs, including ROM estimates and final BOMs, to support design, budgeting, and procurement.
Direct cabinet installation, rPDU deployment, structured cabling, and rack‑ready infrastructure.
Coordinate WAN circuit design, ordering, vendor engagement, installation, and activation.
Facilitate architecture‑level technical discussions to align design intent, resource planning, and deployment strategy.
Ensure Site Acceptance Testing (SAT) and Integrated Systems Testing (IST) are completed with full documentation and SME sign‑off.
Drive continuous improvement by identifying workflow, process, and communication enhancements across distributed teams.

This is a high-ownership, builder-first Sr. Software Engineer role. You will design, build, and ship AI-integrated data systems from concept through production - owning outcomes end-to-end, including deployment, monitoring, cost, and business impact.

We are seeking a candidate who views AI tooling as a fundamental force multiplier in their daily engineering process. This position is central to our transition into an AI-native function, requiring an individual capable of making decisive, pragmatic architectural choices on reversible matters to maintain momentum. We need an experienced builder of production-grade, data-centric systems who is obsessed with delivering customer value and possesses a deep, curious enthusiasm for the transformative potential of AI.

What You Will Build
AI-Native Systems Development. Design, build, and own scalable data and ML pipelines, backend services, and AI-powered capabilities that are part of the platform's production decision-making layer. AI and ML components are runtime dependencies in this role - not research projects or experiments. Candidates will have strong back end and data engineering skills to thrive in this space.
Daily Shipping. Decompose complex work into safely mergeable increments and ship them daily. Treat large, multi-day pull requests as a risk to momentum. Use feature flags, canary releases, and rollback architecture to manage risk through isolation - not through avoidance.
AI-Augmented Engineering Workflow. Leverage AI-assisted development tooling (code generation, automated testing, architecture prototyping) as a core workflow multiplier. Evaluate and experiment with emerging AI tools and frameworks with direct hands-on engagement. Bring technical depth to AI fluency - architecture and capability tradeoffs, not surface-level awareness.
End-to-End Ownership. Own your work from design through production deployment, operational monitoring, and business impact measurement. Accountability extends beyond the feature to CI/CD pipeline health, observability, cost efficiency, and domain-level outcomes.
Architectural Decision-Making. Make pragmatic, timely architectural choices that balance modern AI and data technologies with reliability, cost, and delivery speed. Distinguish reversible vs. irreversible decisions and move forward without waiting for consensus on the former. Document decisions in lightweight ADRs and own the outcomes.
Cross-Functional Collaboration. Partner with product, design, infrastructure, and GTM teams to translate customer and business needs into technical solutions. Operate with business awareness - understand how your systems impact revenue, customer outcomes, and strategic priorities.