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About Us Think about literally anything in your house. Your shirt. Your phone. That random IKEA wrench thingamabob you still haven’t thrown away. Odds are, it all came from somewhere else. Freight is the invisible magic trick that makes the global economy work. And we’re the ones helping it work a little bit faster, smarter, and cheaper. Freightos (Nasdaq: CRGO) is the global booking and payment platform for the trillion-dollar freight industry. Hundreds of airlines and ocean liners, thousands of freight companies, and over ten thousand importers and exporters use our platform to move goods around the world faster and more efficiently. This matters. Efficient freight ultimately makes things cost a little bit less when you buy them in the store. We’ve been on a rocketship (freight ship?) of double-digit growth for years, and we’re nowhere near done. Changing global trade starts with shipping great code. Boxes don’t move before those bytes move.
About the Role We’re looking for a Mid-Level Full Stack Engineer who gets excited by solving complex problems and building systems that directly impact millions - make that billions - of dollars in global trade. Our platform manages over two billion pricing points, hundreds of thousands of quotes, and millions of location codes. This is not just UI polish or backend plumbing - it’s building reliable, scalable systems end-to-end. You’ll work across frontend and backend layers while leveraging AI-powered development workflows - especially vibe coding - to move fast, iterate intelligently, and ship high-quality features. Speed matters, but reliability matters more. That’s why you’ll back everything up with strong automated testing and clean engineering practices. Come ready for a challenge - and don’t be fooled by container ships; this is rocket-science technology.
What You’ll Do
* Design and build end-to-end features across frontend and backend services.
* Develop modern, scalable UI/UX features using best practices and clean architecture.
* Build robust backend APIs and services that power high-scale, high-availability systems.
* Use AI-assisted development (vibe coding) to accelerate feature delivery and reduce iteration cycles.
* Validate AI-generated and AI-assisted code with comprehensive automated tests (unit, integration, and end-to-end).
* Contribute throughout the development and deployment lifecycle across the R&D organization.
* Collaborate with product managers, designers, backend, and DevOps teams to deliver business-critical capabilities.
* Troubleshoot and solve complex cross-stack issues in a large-scale codebase.
* Continuously improve development workflows, introducing mechanisms and best practices to prevent recurring issues.
* Help evolve AI-driven engineering standards within the team.



Hybrid:
Yes

About the Role We are looking for a skilled and motivated Machine Learning & Signal Processing Scientist to join our team. In this role, you will work on processing and analyzing multi-source environmental and sensor data, including satellites, drones, and in-situ measurements. Your work will focus on extracting meaningful signals from noisy data, developing robust algorithms, and modeling physical phenomena using advanced statistical and Machine Learning techniques.

Responsibilities:
Key Responsibilities
* Process and analyze multi-source sensor data, with a strong focus on noise reduction and signal quality improvement
* Develop and apply time series models to characterize and predict signal behavior
* Design and implement Machine Learning and deep learning models (e.g., CNNs, RNNs) for spatial and temporal signal analysis
* Build algorithms for detection, classification, and quantification of physical phenomena
* Validate models against real-world data and ensure scientific robustness
* Communicate results clearly through visualizations, reports, and presentations to technical and non-technical stakeholders
* Collaborate closely with cross-functional teams to refine and deploy solutions Qualifications
* 3+ years of experience in signal processing and Machine Learning
* Strong expertise in:
* Noise filtering and signal enhancement
* Time series analysis and modeling
* Experience with Machine Learning and deep learning frameworks
* Familiarity with multi-source sensor data (satellite, drone, or in-situ measurements)
* Experience with remote sensing data, including multispectral and hyperspectral imagery
* Strong programming skills in Python (or equivalent)
* Excellent problem-solving skills and attention to detail
Advantage
* Experience with generative AI or advanced representation learning
* Advantage, use of AI/ML Agents (Claude Code) for enhancing productivity
* Background in geospatial analysis or environmental data Education MSc in Physics, Geophysics, Earth Sciences, or a related scientific field (PhD is an advantage)
Job type:
Hybrid

Design and implement our products and infrastructure stack, including internal systems, user experience, and advanced security features.
Research new technologies, products, solutions for programmatic challenges.
Work in rapid development and agile methodologies.
Collaborate with other team leaders and developers to refine software designs and improve our development process.
Lead by example in adopting advanced technologies and techniques in software development.

Cyber Systems Engineer We are seeking a Cyber Systems Engineer to join a leading advanced technology division.

We are looking for a Senior Infrastructure & DevOps Engineer to join our Infrastructure Group and help build and optimize the infrastructure that powers Impervas global products.
Key Responsibilities:
Build, maintain, and support production systems using DevOps best practices.
Develop standards for provisioning, scaling, configuration management, and monitoring.
Improve engineering excellence through strong coding, testing, and deployment practices.
Define and track metrics that enhance system reliability and performance.
Analyze system data to ensure smooth and optimized production operations.
Work closely with development and internal stakeholders to streamline workflows.

We are looking for a Java Backend Engineer, Platform Team. Our Data Platform team builds large-scale, cloud-native systems that process cybersecurity data in real time.
We design for scale, reliability, and performance, transforming billions of events into actionable insights that protect customers worldwide.
Beyond backend excellence, we also develop dashboards and intuitive web interfaces that allow customers to visualize, explore, and act on their security data.
If youre passionate about distributed systems, data engineering, and building meaningful products, youll feel right at home here.
Our Tech Stack:
Backend: Java, Spring Boot, Kafka, AWS, Docker, Kubernetes
Frontend: React (data visualization, dashboards, admin interfaces)
DevOps: CI/CD pipelines, distributed systems, monitoring, and observability.
Key Responsibilities:
Design, build, and scale our next-generation data platform for processing security events and logs.
Develop high-performance microservices and streaming pipelines using Java, Spring Boot, Kafka, and AWS.
Architect and implement event-driven, real-time analytics solutions.
Collaborate on frontend dashboards and visualization tools that help customers understand their data and make faster, data-driven decisions.
Work across the stack when needed - contributing to CI/CD, infrastructure automation, and frontend components to deliver complete, production-ready solutions.
Participate in architecture discussions, code reviews, and technical decision-making.
Take ownership, mentor others, and help shape a culture of technical excellence, empathy, and teamwork.

We are looking for a Product Support Engineer for our End User Customers, you will play an integral part in building our Imperva Global Support Team, working alongside our exceptional team of professionals in Product Support, Engineering, QA, and
Sales Security Engineering (SE). The successful applicant will gain a deep understanding of the Imperva product line technology while diagnosing and solving complex technical issues and creating a viable and timely solution to customers.
Key Responsibilities:
Become a focal point for technical issues for our clients and make sound decisions quickly.
Have a strong customer focus a must, paired with demonstrable Troubleshooting and Networking competency.
Understanding and documenting the customers requirements, managing expectations, and providing excellent customer service.
Analyzing customer feature requests and forwarding them for higher-level escalations.

We are looking for an enthusiastic and passionate Senior DevOps Engineer to join our DevOps division (Core Team), where he/she will build and automate our private and public cloud infrastructure, improve R&D and operations productivity, reduce delivery time and work with cutting edge tools and technologies.
Key Responsibilities:
Work directly with the R&D department and be part of their day-to-day work.
Design and implement CI/CD solutions for the teams.
Handle code deployments in all environments.
Create monitoring dashboards for the teams and thrive to improve.
Provide technical guidance and educate team members and coworkers on development and operations.
Brainstorm for new ideas and ways to improve development delivery.
Maintain day-to-day management and administration of projects.
Document and design various processes; update existing processes.
Improve infrastructure development and application development.
Follow all best practices and procedures as established by the company.

Were looking for an experienced and passionate Software Engineering Team Leader to join our Elastic WAF group - the group behind Impervas most strategic and modern next-generation WAF product lines within the AppSec organization.
The Foundation team builds the core infrastructure that powers these products. The team is responsible for developing the foundations of new Cloud-Native and SaaS WAF solutions, designed for simple, fast, and DevOps-friendly onboarding and installation. These products deliver best-of-breed security through a modern, scalable architecture and seamless operational experience.
If youre passionate about leading talented engineers, designing scalable systems, and shaping the architecture of cutting-edge security products, wed love to meet you.
Key Responsibility:
Lead a team of 4 skilled developers focused on building and maintaining core components, shared services, and developer tooling.
Lead distributed system design decisions and continuously improve system performance, maintainability, and technical standards.
Design and evolve scalable, multi-tenant SaaS architecture and cloud-native platform services (microservices, APIs, event-driven systems).
Be hands-on with architecture and development in Java, Go, and Kubernetes.
Drive cross-team initiatives that improve development efficiency, reliability, and scalability.
Act as a mentor and coach to help team members grow professionally and technically.
Collaborate with engineering leads and product stakeholders to set technical direction and priorities.
Champion innovation, transparency, and a strong engineering culture.
Ensure reliability and operational excellence, implementing observability (metrics/logs/tracing) and strong incident response practices.

We are looking for a System Engineer Lead to lead our next generation system development.
In this role, the Project Lead will technically lead a complex multidisciplinary electro-optical system architecture. He will define and manage the required performance analysis, technical solutions, implementation methods, and field deployment to the customer's satisfaction.
Responsibilities
What you will be doing:
Technical:
Design the system architecture/high-level design and technical requirements.
Serve as the system go-to person for all technical matters; a technical expert knowledgeable in system operation, performance, and troubleshooting. Act as the technical POC for system escalations and customer support.
Project Management:
Plan, monitor, and lead the project to ensure product delivery within required specifications, on time, and within the allocated budget (Gates, PMR).
Maintain a project risk management and mitigation plan.
Lead the development activities and technical reviews throughout the PLC (SRR, PDR, CDR, FDR) and other technical design reviews.
Assign project tasks, follow up, and align with development groups, service, and production.
Lead all aspects of the beta tool delivery.
Act as the key contact for inbound topics (matrix interface) and outbound topics with MKT.
Team:
Develop and grow team ownership and technical capabilities.
Provide technical guidance for System/Product engineers.