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Were looking for a Platform Engineer to join our Engineering Platform team and help build, automate, and maintain the infrastructure that supports our products and engineering teams. This is an excellent opportunity to work with modern cloud technologies, learn from experienced engineers, and contribute to the tools and platforms used across the company.
In this role, youll help architect our cloud platform, unify CI/CD and Infrastructure as Code, and accelerate developer autonomy across the company. Youll work closely with the Engineering Platform team to build the backbone of our future engineering ecosystem.
Responsibilities:
Cloud & Infrastructure: Help maintain and improve our AWS environment while supporting scalable, reliable cloud infrastructure.
Infrastructure as Code: Develop and maintain Terraform modules, reusable infrastructure, and automation.
CI/CD & Developer Experience: Build and maintain CI/CD pipelines, improve automation, and support developer productivity.
Monitoring & Reliability: Help monitor production systems, improve observability, and contribute to operational excellence.
Collaboration: Work closely with software engineers, participate in code reviews, and continuously learn new technologies.

We are seeking a Software Engineer to join Dashs core development team. You will design, build, and ship the platform that powers discovery, session-aware detection, policy governance, and runtime enforcement across workstations, SaaS, and cloud. You will work on scalable, low-latency services that process agent activity in real time and enforce security policies without slowing builders down. This role requires strong engineering fundamentals, a focus on system reliability, and an interest in the unique challenges of agentic security.
Responsibilities:
Design and Implement Services: Design, develop, and deploy scalable backend services and APIs for the Dash Security platform (customer and admin APIs, detection ingestion, aggregation, and control-plane services).
Build Core Features: Implement features for agent/MCP/skill discovery, session and intent-aware detection, policies, and runtime enforcement across coding agents and enterprise AI platforms.
Optimize Runtime Protection: Maintain and optimize high-throughput detection and enforcement pipelines that operate at enterprise scale (ingestion, detectors, verdicts, and policy dispatch).
Integrate with Platforms: Build and deepen integrations with coding agents, SaaS AI platforms, identity providers, EDR, SIEM, and outbound action systems to ingest telemetry and enforce controls.
Ensure Reliability: Focus on code quality, performance, monitoring, and stability through robust testing, CI/CD, and operational excellence.
Collaborate with Research: Partner with the AI Security Research team to turn findings, signatures, and heuristics into production-ready detectors and enforcement logic.
Contribute to Architecture: Participate in technical design and architectural reviews across our codebases, agents, and event-driven backend services.
Stay Current: Continuously learn and apply new technologies, development methodologies, and security best practices.

we are looking for a Data Software Engineer.
Full-stack engineer with a soft spot for geometry: build the data and product systems that power automation across frontend and backend.

We're looking for a Head of AI to own everything AI and ML at Sensos - from the agentic systems that power autonomous supply chain execution to the data science and modeling that turn our real-world data into an unfair advantage.
This is a founding leadership role. You'll be 100% hands-on from day one - researching, prototyping, and shipping models and AI capabilities directly into the platform - and over time you'll build and lead the data organization (data science, ML, and analytics). Put simply: you're the person who brings the "smart" into the platform.
We capture billions of real-world signals from IoT smart labels moving through global supply chains. That data is the raw material; your job is to turn it into prediction, detection, and trustworthy autonomous decisions.
What You'll Do:
Work with a wide variety of datasets - IoT sensor, GIS, time-series, tabular, and textual
Solve a range of business problems: time-series prediction, anomaly detection, scoring, and agentic flows
Design real-time inference pipelines
Develop and deploy ML models and LLM-based agents that serve tens of enterprise clients
Conduct exploratory data analysis, feature development, and correlation analysis
Take work all the way from prototype to production - you own it end-to-end
Partner closely with Product and Engineering to embed intelligence natively into the platform and shape the roadmap
Stand up the infrastructure: evaluation pipelines, model promotion, MLOps, and artifact management
Build, hire, and lead the data function (DS, ML, and analytics) as we scale
Lead patent registrations, technical presentations, and stakeholder discussions

Join our Storage Products group to develop advanced automation tools, testing infrastructure and tests for storage subsystems. You'll work with a collaborative team to build scalable lab automation, debug tools, and validation systems that ensure the excellence users expect from Apple devices. This role offers the opportunity to impact the entire design-to-implementation process while leveraging cutting-edge AI tools.
Develop version control software packages for large-scale validation labs Build lab automation infrastructure and debug tools for storage validation Design and implement test flows for storage modules and performance validation Collaborate across multiple teams to deliver innovative storage solutions Utilize advanced AI tools Work on Unix-based environment Apply deep understanding of storage behavior to real-world testing scenarios

The Support Development Team builds and maintains internal applications that help Support Engineers work more effectively - automating repetitive tasks, streamlining workflows, and translating operational challenges into scalable technical solutions. As a Software Engineer on this team, you will own tools end-to-end, working closely with Support teams to understand their needs and deliver impactful solutions. The team's primary language is Python, with Go used on selected projects, Kubernetes-based infrastructure, and occasional frontend work in NextJS.

Responsibilities:

* Develop and maintain Python-based tools that enhance the efficiency and workflow of Support Engineers
* Work directly with Support Engineers to understand their challenges and translate them into actionable technical solutions
* Identify and integrate improvements into the existing tool ecosystem, continuously seeking modernization opportunities
* Troubleshoot tool-related issues and ensure minimal downtime for internal users
* Write and maintain clear documentation to support scalability, onboarding, and knowledge sharing
* Explore emerging technologies and propose innovative approaches to improve team solutions
* Contribute to Go-based projects and work within Kubernetes-based infrastructure as part of ongoing modernization

we are looking for a Release Engineering Intern.
As a Release Engineering Intern in our Tel Aviv office, youll help improve the systems that build, test and release software across .
The group is moving the R&D to an agent-ready CI/CD platform, aiming for up to 10x faster delivery with less manual build, test and release work.
Youll also work on our internal AI app-building platform, which lets employees create and deploy applications from natural-language prompts (Base44 style).
The team supports 600+ R&D engineers, around 1,300+ modules and 500+ service types across Java, JavaScript/TypeScript, Python and Go.

we are looking for a Software Development Team Leader Production Engineering.
As a Software Development Team Leader Youll lead a team of strong engineers building the core platform behind one of the largest real-time recommendation systems in the world, with full ownership from design to production and the freedom to move fast and solve complex infrastructure challenges.1.4 billion users. 950,000 requests per second. 140TB of fresh data every day. 800M metrics every minute (for monitoring). Thats the scale Taboolas Production Engineering team operates at - and were looking for a Software Development Team Leader to help drive what comes next.

We're looking for an Infrastructure Engineer to go deep into that layer: build and own core proxy and networking infrastructure, not configure someone else's.
You bring the same range as our core infrastructure engineers - proxies and networking, browser internals, and cloud-native systems (Kubernetes, Docker, AWS) - with the depth to design and debug at every layer of the stack, plus a genuine specialization in networking and proxy systems.
What Youll be Doing:
Build core proxy infrastructure - reverse proxies, IP rotation, session management, intelligent routing.
Own IP pool health - reputation scoring, monitoring, blacklist recovery - across residential, mobile, datacenter, and ISP proxies.
Implement geo-targeting at country, city, and ASN level.
Work at the protocol level (TCP/UDP, sockets, HTTP/HTTPS/SOCKS5, HTTP/2/3) and the Linux networking stack underneath.
Build monitoring, health checks, failover, and bandwidth/usage metering for the proxy fleet.
Deploy and scale on cloud-native infrastructure (Kubernetes, Docker, Terraform).
Use AI-assisted development tools daily.

we are looking for a Software Engineering Team Lead.
You will own the AI platform across all Sedric product lines - customer-facing policy configuration, internal tooling, and the architectural decisions that determine whether we scale reliably or expensively. Your responsibilities include:
Lead an engineering team - own output, growth, and retention
Build and evolve agentic systems that make high-stakes compliance decisions at scale: 99% accuracy, low cost, high throughput
Set guardrails, change management practices, and engineering procedures that meet the expectations of tier-1 financial institutions
Own customer-facing policy workflows and internal tooling for Technical Account Managers
Partner with the Head of R&D on technical direction and hiring

Product Operator is a hybrid role for someone with Python, SQL, or other development experience who wants to grow fast in a startup environment. Youll support our engineering and data teams, work on client insights, and get hands-on with our business needs. Beyond coding, youll act as the right hand to the CTO, helping drive both technical and business initiatives.

Responsibilities
Support engineering and data teams with coding, testing, and analysis

Provide insights from client data to guide product and business decisions

Assist with product management tasks

Take ownership of cross-team tasks that require a technical mindset

Partner closely with the CTO to move projects forward across the company

We are looking for a motivated and skilled Software Engineer to join our growing team. This is an exciting opportunity for someone with a strong technical foundation who enjoys working with diverse technologies, solving complex technical challenges, and contributing to impactful, real-world products. You will collaborate with cross-functional teams to design, develop, and maintain scalable software solutions while continuously learning and adopting new technologies.

We are a well-funded, early-stage startup looking for a talented and motivated Backend Engineer to join our founding team. The focus of this role is to design, develop, and deploy autonomous AI agents that can automate and optimize complex enterprise workflows. You will work on building intelligent systems capable of decision-making, data extraction, document processing, and other tasks typically requiring human intervention. This is an opportunity to influence the architecture and strategy of AI-driven automation solutions for large-scale enterprise environments.

Your Impact
AI Agent Development

Design and develop autonomous AI agents using best of breed large language models to automate tasks such as document processing, data extraction, and workflow management.

Implement reinforcement learning techniques to enhance decision-making capabilities of AI agents.

AI Integration

Build and integrate APIs that connect AI agents with external systems and enterprise software (ERP, CRM).

Use frameworks like TensorFlow, PyTorch, or Hugging Face to deploy and optimize AI models for real-time processing.

Data Processing and Pipelines

Design and manage data pipelines to process and analyze large volumes of documents and unstructured data efficiently.

Optimize data handling to improve speed and accuracy of AI agents.

Security and Compliance

Implement authentication and authorization mechanisms to secure AI-driven systems.

Ensure compliance with data privacy standards (e.g., GDPR, HIPAA) and adopt best practices for secure data handling.

Cloud Infrastructure and Scalability

Deploy AI agents on cloud platforms (AWS, GCP, or Azure) ensuring scalability and reliability.

Leverage containerization (Docker, Kubernetes) for efficient deployment and management.

Testing and Optimization

Develop and execute unit, integration, and performance tests for AI-driven systems.

Continuously monitor and optimize system performance for speed, accuracy, and cost-efficiency.

Collaboration

Work closely with AI researchers, front end engineers, and product teams to align AI agent capabilities with business requirements.

Participate in code reviews, design discussions, and architecture planning to drive innovation.

We are a well-funded, early-stage startup looking for a talented and motivated Backend Engineer specializing in infrastructure to join our founding team. The focus of this role is to build and scale the infrastructure that powers autonomous AI agents automating complex enterprise workflows. You will own the systems, pipelines, and platforms that let our AI agents run reliably, securely, and at scale in production.

Your Impact
Infrastructure & Platform

Design, build, and own the core infrastructure powering our AI agent platform, from data pipelines to production deployment systems.

Build and scale the backend systems that support high-throughput document processing and data extraction workloads.

Cloud Infrastructure and Scalability

Architect and deploy infrastructure on cloud platforms (AWS, GCP, or Azure) with a focus on scalability, reliability, and cost efficiency.

Own containerization and orchestration (Docker, Kubernetes) for all production workloads.

Build and maintain CI/CD pipelines and DevOps practices that let the team ship fast without breaking things.

Data Infrastructure

Design and manage data pipelines to process and analyze large volumes of documents and unstructured data at scale.

Build the infrastructure layer connecting AI agents to databases, vector stores, and enterprise systems (ERP, CRM).

API & Systems Integration

Build and maintain robust, well-documented APIs connecting AI agents with external systems and enterprise software.

Design for reliability: retries, observability, and graceful degradation across distributed systems.

Security and Compliance

Implement authentication and authorization mechanisms (OAuth2, JWT) to secure AI-driven systems.

Ensure compliance with data privacy standards (e.g. GDPR, HIPAA) and drive best practices for secure data handling across the infrastructure.

Monitoring and Optimization

Build observability and monitoring systems to track infrastructure health, performance, and cost.

Continuously optimize system performance for speed, reliability, and cost-efficiency at scale.

Collaboration

Work closely with AI/ML engineers, product, and the founding team to make sure infrastructure decisions support fast iteration and production-grade reliability.

Participate in code reviews, design discussions, and architecture planning to drive infrastructure strategy.

We are looking for an ATE Engineer to join our multidisciplinary team in central Israel.
The role involves developing and implementing complex automated test solutions, from requirements analysis through direct integration with hardware and Automated Test Equipment (ATE).
Key Responsibilities:
Translate Test Requirements Documents (TRD) into automated Test Sequences/Scenarios using NI TestStand or OTM (ORION).
Develop, maintain, and enhance automated test sequences and deploy them in laboratory environments.
Integrate measurement instruments and communication protocols with ATE systems, perform debugging, and support troubleshooting activities.
Develop software components and DLLs in C# or C for hardware communication, when required.
Work closely with Hardware, Electronics, and Integration teams, including reading and interpreting electrical schematics.