As part of our team, you'll collaborate with software engineers, program managers, security researchers, and data science experts to develop solutions that protect, detect, and respond to evolving cybersecurity threats.  

Responsibilities
As a Software Engineer you will:

Contribute to business-critical initiatives in our Security.

Requiring deep technical skills and the ability to quickly adapt to new areas.

Improve the end-to-end lifecycle of services.

Analyze complex system behavior, and apply modern engineering practices to streamline deployments and reduce costs.

Your role involves working on high-end technologies and collaborating across disciplines to deliver impactful features.

Collaborate with multiple teams across us to deliver key customer solutions and support technology.

Leverage AI and AI-assisted engineering tools (such as GitHub Copilot) in your day-to-day work to accelerate development, automate routine tasks, and improve code quality - while exploring opportunities to integrate AI capabilities into the services you build.

As part of our team, you'll collaborate with software engineers, program managers, security researchers, and data science experts to develop solutions that protect, detect, and respond to evolving cybersecurity threats.  

Responsibilities
As a Software Engineer you will:

Contribute to business-critical initiatives in our Security.

Requiring deep technical skills and the ability to quickly adapt to new areas.

Improve the end-to-end lifecycle of services.

Analyze complex system behavior, and apply modern engineering practices to streamline deployments and reduce costs.

Your role involves working on high-end technologies and collaborating across disciplines to deliver impactful features.

Collaborate with multiple teams across us to deliver key customer solutions and support technology.

Leverage AI and AI-assisted engineering tools (such as GitHub Copilot) in your day-to-day work to accelerate development, automate routine tasks, and improve code quality - while exploring opportunities to integrate AI capabilities into the services you build.

we are looking for a AI Native Engineer (Node. js).
You will join a high-impact AI engineering team within R&D, owning problems end-to-end from understanding the business need, through architecture and implementation, to production monitoring. This is a new way of working at Payoneer: you'll work directly with business stakeholders, ship AI-driven capabilities at speed, and help define the methodology as we build it.
As a member of the AI Foundations organization, you will lead best practices, champion early adoption of new technologies, and influence the direction of our R&D guild - building and shipping cutting-edge agentic applications that deliver seamless experiences to our users.
Location
Hybrid - Herzliya, Israel
Full-time
What you'll do:
Own the full development loop understand the business problem, define the solution, architect it, build it, ship it, and monitor it in production
Use AI as your primary development tool, achieving in a day what used to take a team a week
Collaborate with your team and business stakeholders to define decision logic, risk thresholds, and success metrics
Design and build evaluation frameworks as part of every solution you don't ship what you can't measure
Own production readiness monitoring, alerting, and observability go in on day one
Contribute to shaping team practices, tooling, and engineering standards across the pod
Decompose business problems into agentic workflows, orchestrated flows, and reusable capabilities.

We are looking for an experienced Senior DevOps Engineer to join our Platform Services team. In this role, you will design, build, and operate scalable platforms and infrastructure across a hybrid on-premises and multi-cloud environment, enabling engineering teams to develop, deploy, and run services efficiently, securely, and reliably.
You will work in a complex, large-scale production environment that combines on-prem infrastructure with AWS, GCP, Kubernetes, Infrastructure as Code, automation, observability, and AI-driven technologies.
What you'll do:
Design, build, and maintain hybrid infrastructure spanning on-premses platforms, AWS, GCP, and multi-cloud architecture
Operate and scale Kubernetes-based containerized production environments
Implement and manage Infrastructure as Code using Terraform and Helm
Build and maintain CI/CD pipelines and automation with Azure DevOps, GitHub Actions, and Argo CD
Drive platform engineering initiatives - developer self-service portals, internal tooling, and golden paths
Establish and improve observability and reliability practices using Prometheus, Grafana, and Coralogix
Write automation scripts and tooling in Python, Bash, and PowerShell
Own cloud networking, security, IAM, secrets management, and governance across environments
Lead production troubleshooting, incident management, and root cause analysis
Architect solutions and provide technical leadership in close collaboration with R&D teams
Leverage AI-based tools to improve automation, incident analysis, operational efficiency, and developer workflow

Todays world is crime-riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough
Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.
For nearly 30 years, the incredible minds at our company around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends and help make the world a safer place with leading investigative analytics software solutions.
We are defined by our dedication to doing good and this translates to business success, meaningful work friendships, a can-do attitude, and deep curiosity.
We are looking for a Senior Backend Engineer to design, architect, and scale the core software foundation powering our next-gen GenAI Co-Pilot and Decision Flows. Working hand-in-hand with our Data Science team, you will take full ownership of critical components, bridge the gap between advanced AI models and production systems, and deliver high-performance, secure, and scalable solutions that drive real-world impact.
As a worker, you will:
Build platforms that consolidate complex data to help analysts make critical, real-world decisions.
Partner with AI Data Science and Product teams to deliver sophisticated investigative tools.
Ensure high-quality standards for software that directly impact global safety and investigative outcomes.
Mentor engineers and serve as a go‑to person for problem solving.
Join a team that fears no technology and constantly tests the boundaries of investigative power.

The Cellular group is seeking a highly skilled Software Engineer to join our team and develop cutting-edge Automation Infrastructure for DevOps and beyond.

In this role, you will contribute to engineering efforts from design to implementation, solving complex technical challenges in multiple areas focusing on CI/CD & SW tool development

Responsibilities
In this pivotal role, your responsibilities will include:
Design, implement, and maintain CI/CD pipelines for seamless software deployment.
SW Tools development - from idea, requirements definition, the tool's design to its implementation.
Set up infrastructure processes and methodologies to increase the groups efficiency.
Automatic deployment: control and optimize configuration management (with tools such as Ansible, Puppet, or Chef).
Monitor system performance, reliability, and scalability.
Troubleshoot infrastructure and deployment issues, ensuring high availability.
Take part in the optimisation & development of our data path solution.
Working on a varied set of platforms/technologies.

As a member of our ML group, you will design, prototype, and ship agentic GenAI systems used by chip design engineers to accelerate their day-to-day workflows. We are looking for a machine learning engineer who is energized by taking LLMs from "promising demo" to "depended-on tool": designing the agent loops, retrieval pipelines, and evaluation frameworks that make this transition real. Success in this role means agents that meaningfully shift how our customer teams work, backed by measurements you trust.

You will join a growing team of ML and software engineers building GenAI solutions for chip design teams. In this role, you will:

Design and build agentic systems featuring multi-agent coordination, long-horizon reasoning, tool use, and planning frameworks.
Develop end-to-end solutions, including domain-specific agents and high-performance retrieval pipelines spanning diverse data sources.
Partner with subject-matter experts on the customer teams to translate their workflows and rules of thumb into concrete agent assignments, prompts, tools, and guidelines.
Build the evaluation backbone for our agents: define success measures, curate offline golden sets, and instrument online telemetry to power feedback loops that drive fast, safe iteration with real cost and quality control.
Drive prompt engineering, model selection, and lightweight model adaptation as the workloads demand.
Collaborate closely with software engineers on the team to productionize your work, and with researchers and customers to shape what we build next.
Stay current with the rapidly evolving agentic and LLM landscape and bring promising techniques into our products with good engineering judgment.

we are looking for a Senior Backend Developer (C# or Java).
By taking the complexity out of the financial workflows-including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence-we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Location: Herzliya-Glilot
Hybrid
Full-time
What youll do:
Take a leadership role in achieving team goals, contributing to the overall design, architecture, development, quality, and production deployment of the team's systems.
Design and implement robust, scalable, and maintainable backend solutions for complex scenarios, ensuring high-quality results that may be consumed by other teams.
Collaborate effectively within your team and with cross-functional partners, such as Product, Design/UX, DevOps, and other R&D teams, representing your team as needed.
Maintain and improve the team's engineering practices, suggesting and implementing technology, patterns, or process enhancements.
Proactively identify areas of improvement in team systems, processes, and scalability.
Lead by example in code quality, contributing significantly to code reviews and acting as a focal point for engineering excellence questions.
Help monitor production systems, investigate potential issues, and lead efforts to resolve critical production challenges while maintaining a customer-centric approach.

Design, develop, and evolve core full-stack features, with an emphasis on scalability, performance, and maintainability.
Lead complex technical initiatives from concept through production, making architectural decisions that drive long-term impact.
Take end-to-end responsibility for production systems, including monitoring, troubleshooting, performance optimization, and incident resolution.
Maintain high engineering standards through code reviews, testing, documentation, and best practices.
Continuously evaluate and adopt modern development tools to improve developer productivity and system quality.
Support and mentor other engineers as needed, sharing knowledge and contributing to team growth.

Design, develop, and evolve core backend systems and services, with an emphasis on scalability, performance, and maintainability.
Lead complex technical initiatives from concept through production, making architectural decisions that drive long-term impact.
Take end-to-end responsibility for backend production systems, including monitoring, troubleshooting, performance optimization, incident resolution, and infrastructure reliability.
Maintain high engineering standards through code reviews, testing, documentation, and best practices.
Continuously evaluate and adopt modern development tools to improve developer productivity and system quality.
Provide technical leadership and mentorship across the backend domain, influencing architectural standards and engineering culture.