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The PCBA Production Process Engineer is responsible for designing, optimizing, and managing the processes involved in assembling printed circuit boards (PCBs).
* Production Support: Troubleshoot and resolve technical issues on the production floor, including soldering defects, alignment errors, or component misplacement. Provide Real-Time Technical Support to operators and technicians during production runs. Ensure proper setup, calibration, and maintenance of equipment like reflow ovens, AOI (Automated Optical Inspection).
*  Quality Assurance : ensuring compliance with IPC-A-610 or similar industry standards. Conduct root cause analysis and corrective actions for defects identified during production. validate assembly quality.
* equipment and Technology Integration: Evaluate, procure, and integrate new production equipment or technologies to improve efficiency and quality. Develop and maintain preventive maintenance schedules for manufacturing equipment. Ensure compatibility and proper usage of consumables like solder paste, stencils, and components.
Country:
Israel
City:
Ziporit

DRS RADA is a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. manufacturing performance. Collect, process, and report on key performance indicators (KPIs); conduct ongoing monitoring of production processes. Provide recommendations for process optimization, cost savings, and quality improvement. Build reports, presentations, and analytical models to support decision-making. Collaborate with various departments: engineering, operations, procurement, logistics, and quality.

We're looking for an Experienced Software Engineer to build and scale our data systems. Youll be responsible for designing and implementing frameworks for robust backend systems and data pipelines that integrate with multiple clinical data sources.
What Youll Do:
Build a next-generation data platform using cutting-edge technologies.
Be part of a strategic, high-priority team driving a key company initiative.
Integrate with diverse external clinical data sources, ensuring seamless data flow.
Maintain high reliability, scalability, and data integrity across the platform.
Uphold strong engineering standards to ensure a robust and future-proof system
Use meta-level thinking to create generic, declarative frameworks

We are looking for a hands-on Senior DevOps Engineer with a strong cloud-native mindset to build, maintain, and evolve our highly scalable, highly-available cloud infrastructure. This role is pivotal in driving operational excellence, security, and automation across our entire engineering organization. You will promote communication, integration, and collaboration to significantly enhance our software development productivity and reliability. You'll work closely with engineering and product teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment-all while keeping reliability and security top of mind.
Responsibilities
Design, Automate, and Manage complex cloud infrastructure on AWS using best-in-class Infrastructure as Code (IaC) practices.
Lead the operation and enhancement of our production Kubernetes environments (EKS), focusing on automation, security, observability, and seamless CI/CD integration.
Drive continuous improvement across platform tooling, developer experience, and operational processes to meet our ambitious performance and uptime goals.
Implement and enforce security-first infrastructure patterns, including strong IAM, network segmentation, and secure secrets management.
Actively contribute to high-level technical design discussions and cross-functional architectural decision-making, ensuring solutions align with long-term platform strategy.

The Data Engineering team is a cross-functional team responsible for data integration, monitoring, and quality. This includes automating data flows, alerting, fetching, and checking across various stages of data transformation and projection.
Key Responsibilities
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Develop data architecture for data ingestion, validation, and processing.
Identify, design, and implement process improvements, such as automating manual tasks, optimizing data delivery, and redesigning infrastructure for enhanced scalability.
Create and maintain optimal data pipeline architecture using microservices.
Work with other members of the data team, including data architects, data analysts, and data scientists.
Key Takeaways
Use the tools and languages that are best suited to the job - Complete flexibility to problem-solving with novelty and creativity encouraged.
Be around very bright and lovely people.
Your intellectual curiosity and hard work contributions will be welcome to our culture of knowledge sharing, transparency, and shared fun and achievement.
Provide education and documentation to empower team members to make the most of technical resources.
Contribute to our software engineering culture of writing correct, maintainable, elegant, and testable code.
Utilize AWS services and tools such as S3, EventBridge, Athena, and DynamoDB to build a robust and scalable data architecture for data ingestion, processing, and storage.
Collaborate on data infrastructure that supports LLM-driven workflows - leveraging tools like Cursor to accelerate code development, enhance reproducibility, and streamline iteration on intelligent systems.

About the Role & Responsibilities
Drive the technical vision for Hive Team - We're building high-leverage internal platforms that power our companys decisioning and analytics.
Lead complex, cross-functional technical projects from inception to implementation, ensuring alignment with architectural standards and best practices.
Mentor and guide engineers to foster technical excellence, while partnering with product, engineering, research, and ops to translate complex requirements into scalable, reliable systems.
Establish and champion engineering best practices, high coding standards and a winning professional culture, within our team and across the engineering organization.