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We are looking for an Engineering Platform Manager to lead one of our core engineering teams and drive the evolution of our container security platform at scale.
This is a high-impact leadership role combining people management, technical ownership, and strategic influence. You will lead a team building mission-critical systems, shaping both architecture and engineering culture, while working closely with Product, Security, and Platform teams.
In this role, you will also help drive the adoption of AI-driven systems and workflows, enabling smarter, more scalable, and more efficient engineering and customer-facing solutions.
If you are a hands-on leader who thrives in complex, high-scale environments and knows how to build strong teams and scalable systems - this role is for you.

we are seeking a seasoned Senior CI/CD DevOps Engineer to join our CloudOps team. In this pivotal role, you will be the architect of our delivery ecosystems, designing and scaling high-performance CI/CD engines and Kubernetes-based infrastructure across multi-cloud environments.
You will bridge the gap between code and production, leveraging GitOps principles and advanced automation to accelerate our SaaS and On-Prem release cycles. If you thrive on building "Infrastructure as Code," mastering complex Jenkins pipelines, and securing cloud-native systems at scale, this is your next challenge.
Key Responsibilities:
Architect CI/CD Ecosystems: Design, implement, and maintain enterprise-grade CI/CD pipelines using Jenkins and Shared Libraries (Groovy) to standardize delivery across R&D.
Infrastructure as Code (IaC): Drive the automation of global cloud footprints (AWS) using Terraform, ensuring modularity, reusability, and state management.
Kubernetes Orchestration: Manage and optimize large-scale EKS clusters, focusing on high availability, auto-scaling, and cost-optimization.
GitOps Advocacy: Implement and champion GitOps workflows to ensure the "source of truth" always resides in Git, automating deployments and drift detection.
Advanced Scripting: Develop sophisticated tooling and automation logic using Python and Bash to eliminate manual toil.
Hybrid Cloud Delivery: Support complex release automation for both high-velocity SaaS environments and secure On-Prem deployments.
System Reliability: Troubleshoot complex production bottlenecks, optimize container performance, and mentor junior engineers on best practices.

we are looking for a Global Supply Chain.
Key Responsibilities:
Manage end-to-end jobbing operations.
Act as focal point for jobbers and internal departments.
Schedule production campaigns and ETDs.
Coordinate supply of raw materials, packaging, and labels.
Track production and resolve operational constraints.
Issue subcontracting POs and report production.
Manage inventories at jobber facilities.
Support logistics documentation.
Approve jobber invoices and handle payment issues.
Follow up on customer complaints.
Monitor jobber performance and drive improvements.

A leading Israeli software company specializing in SaaS-based Human Resources management solutions is looking for a Project Manager to join its Core Systems Development team.
Role Description:
Manage and track the progress of software development projects from initiation to delivery
Coordinate and align activities across development, infrastructure, and implementation teams
Support testing processes and production releases (go-live)
Lead knowledge management and maintain comprehensive project documentation
Gather information and prepare responses for RFPs, tenders, and SOC audits
Ensure smooth communication between stakeholders and technical teams
Identify risks, resolve issues, and ensure timely project delivery

A deep-tech startup building real-time vision intelligence systems, is looking for an experienced Systems Engineering Lead / System Owner to drive the end-to-end technical execution of a multidisciplinary hardware-software product. This role owns the full system lifecycle - from architecture, integration, and testing to releases, customer deployments, and field readiness.
The ideal candidate is a hands-on technical leader with strong system-level thinking, capable of connecting software, hardware, algorithms, and field operations to ensure the product performs reliably in real-world environments.
Key Responsibilities:
Own end-to-end system integration across software, hardware, sensors, optics, edge compute, communications, power, and mechanical components.
Lead technical execution and delivery, translating product and customer requirements into engineering plans, priorities, and release scopes.
Drive system architecture decisions in collaboration with technical leadership, with a focus on performance, integration, and system constraints.
Define release readiness criteria, including lab testing, field validation, customer demos, deployments, and production readiness.
Establish testing and validation processes, including logging, configuration management, documentation, and troubleshooting workflows.
Lead debugging and root-cause analysis across the full system stack.
Coordinate cross-functional teams (Software, Hardware, Algorithms, Operations, Field teams) to ensure successful execution and delivery.
Balance engineering trade-offs between performance, reliability, cost, manufacturability, timelines, and customer requirements.
Translate field feedback into product improvements and technical enhancements.

As our AI Team Lead, you will sit at the intersection of cutting-edge research and production engineering, guiding a high-performing team of Data Scientists and Engineers. This is a deeply hands-on leadership role where you will drive the end-to-end lifecycle-from initial research and PyTorch training to deploying sophisticated multi-modal AI (Text, Image, Audio, and Video) in high-throughput environments. Join us in building the future of responsible AI adoption and digital integrity.

Responsibilities
Manage and grow a high-performing team of AI researchers and engineers, fostering technical excellence.
Drive the design and training of multimodal models applications (Text, Image, Audio, Video) using PyTorch.
Own the AI roadmap from initial concept to scalable, high-throughput production.
Partner with Product, Backend, and Security teams to integrate AI solutions globally.
Stay at the forefront of GenAI/LLM research to continuously improve our detection engines.

We are looking for a Production Engineer to join our existing Devops team. You will work alongside senior engineers to keep our production systems reliable, observable, and operationally sustainable.

Responsibilities
Lead incident response and on-call rotation.
Help define and refine SLOs and SLIs; tune alerts to reduce noise and improve signal quality.
Write and maintain runbooks; contribute to blameless postmortems and follow-up actions.
Build and improve dashboards , giving product teams clear visibility into the health of their services.
Automating repetitive operational work in Python, C#, and Bash.
Support our Kubernetes workloads, Terraform-managed infrastructure, and observability pipelines across our multi-cloud solution.
Collaborate with backend and platform engineers to make new services production-ready.