דרושים » הנדסה » מהנדס/ת תוכנה בכיר/ה - צוות R&D מייסד

We are looking for an experienced QA engineer to lead and drive the Quality of our cloud sensor - the industrys most efficient security tool for monitoring application-layer attacks in real time.

we are a fast-growing cybersecurity startup transforming how organizations protect their applications, cloud environments, and AI systems at runtime. Backed by top-tier investors including Greenfield Partners, Red Dot Capital Partners, Lightspeed, Ballistic Ventures, and TLV Partners, were on a mission to make real-time security a reality.

As our Sensor Quality Lead, youll own the quality of the Sensor - how we test it, and how we prove it works accurately and efficiently across the environments our customers run it in. There's no existing playbook for this role; you'll be the one writing it, tackling complex testing challenges in the Linux systems realm and building the automation that lets us ship with confidence.

In particular:

Design and build automated test frameworks and specialized harnesses for the Sensor
Build and maintain test environments across Kubernetes, Docker, and VMs, including test applications written in different languages, so a single build is validated everywhere it runs
Build the test infrastructure that measures accuracy, performance, and resource consumption under high scale
Define quality metrics for the Sensor, build the test infrastructure that measures them along with dashboards and visibility measures to surface them
Collaborate with the Sensor teams, Product Managers, research, and other R&D teams to deliver end-to-end quality

We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.



What will you do

You will join a team of experienced engineers and help them in developing our innovative Classification products.

You will lead projects by architecting, designing and implementing solutions that will impact the core components of our system.

Youll develop new and awesome features while leveraging cloud native technology stack, do continuous improvements of our development process by adapting new technologies, and using them to solve product and engineering challenges while raising the bar of code quality and standards.

Were looking for engineers who are proactive, curious, and take full ownership of their work. In this role, youll have the opportunity to drive real impact, shape the direction of our product, and grow as a technical leader.

You will:
Take end-to-end ownership of features-from design and implementation to deployment and ongoing improvement.
Build high-quality, scalable, and resilient systems using modern engineering practices.
Work closely with PM, design, and security experts to define and deliver customer-facing experiences.
Drive technical direction and make thoughtful tradeoffs that balance speed, quality, and long-term maintainability.
Bring a strong sense of initiative-identifying opportunities, raising issues early, and pushing ideas forward.

You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.

What Youll Do
Design and develop scalable, high-performance backend services and APIs.
Implement integrations with AI platforms and services.
Work with AI specialists to translate AI capabilities into production-ready features.
Ensure high reliability, performance, and security of AI-powered systems.
Collaborate with product and engineering teams to gather requirements and deliver solutions.

As a Senior Frontend Engineer , you will play a key role in shaping the user experience of a product that truly changes lives. Youll work on a user-facing product used daily by people who are Deaf or hard of hearing, turning complex communication challenges into intuitive, accessible, and high-performance experiences.

This role is ideal for an experienced frontend engineer with strong product understanding, who cares deeply about users, performance, and design. This role is not just about coding, but about building frontend features that have real impact for users.

On a day to day, you will:

Design, build, and maintain rich, accessible frontend experiences across web and mobile products.
Own features end-to-end: from understanding user needs and product requirements to development, testing, and production.
Collaborate closely with Product, Design, and Backend teams to define flows, UX, and technical solutions.
Translate high-level product requirements into scalable, maintainable frontend architecture.
Solve complex UI and performance challenges, including real-time and async interactions.
Continuously improve code quality, frontend standards, and developer experience.
Take part in code reviews, technical discussions, and architectural decisions.
Bring product-oriented thinking and propose improvements that have real user impact.

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 looking for a Data Engineering Team Lead to drive the development and optimization of our data infrastructure.


So, what will you be doing all day?
Team Management

Serve as the direct manager for data engineers, providing regular feedback, career guidance, and technical mentorship.
Translate business requirements into actionable technical roadmaps; prioritize and assign daily tasks using sprint methodologies.
Cultivate a collaborative, high-performance team culture focused on continuous improvement and engineering excellence.
Cultivate a collaborative, high-performance team culture rooted in a delivery mindset, a business-driven focus, and engineering excellence.


Hands on Engineering

Design, build, and maintain robust, scalable data pipelines capable of processing massive datasets.
Oversee and maintain multiple development and production environments to ensure seamless deployment and high availability.
Design and implement highly cost-efficient cloud data infrastructure, constantly monitoring and optimizing resource utilization.
Research, develop, and integrate AI models and autonomous agents into the data ecosystem to automate pipeline monitoring, optimize data curation, and unlock intelligent data-driven capabilities.

We're looking for a Senior Software Engineer to join our engineering team and take real ownership of features that deliver value at enterprise scale. In this role, you'll build security solutions for GenAI and Copilots, design scalable Big Data pipelines using cutting-edge technologies, and be part of a team that thinks creatively about complex problems and delivers real technological innovation.

This is a role for engineers who like to own things end-to-end from designing a solution to delivering value while working closely with the team through open discussions, design reviews, and code reviews.

What Youll Do
Responsibilities:
Assume ownership of features and deliver value to customers.
Design scalable Big Data pipelines using cutting-edge technologies.
Deliver high-quality engineering applying common engineering principals.
Work on building GenAI & Copilots security solutions.
Think creatively about complex problems and deliver technological Innovation.
Collaborate with others via open discussions, Design Reviews and Code Reviews.

LLM optimization is a young field with no settled playbook, so the optimizations you invent here are genuinely new - and they ship into production, not a paper. And they matter: real enterprises run enormous volumes of LLM traffic and feel every wasted token, so the work you do lands on live customer requests and solves a problem they actually have. It's about as close to the frontier, and as close to the product, as engineering gets.

03What you'll do
Invent and ship optimizations. Design new strategies across every layer of a request - prompt and context compression, tool pruning, file and dev-command trimming, semantic caching, cache-prefix stabilization - and take them all the way to the hot path. Each one has to cut tokens on real traffic without degrading output.
Prove every win. Build the evals and the token/quality instrumentation that separate a genuine saving from a plausible-sounding one. An optimization only ships when the numbers back it.
Live in the caching trade-offs. Provider prompt caches only pay off on byte-stable prefixes, and a naive rewrite can cost more than it saves. Knowing exactly when an optimization actually wins - deterministic transforms, per-session decision pins, semantic dedup - is a lot of the job.
Build and own the gateway that runs them. The real-time proxy that carries production LLM traffic - streaming, retries, backpressure - executing every optimization on the live request path.
Keep it fast and deploy anywhere. Defend a tight latency budget on the hot path, and package the whole thing so it installs cleanly into any customer's cloud - AWS, GCP, Azure, containers, Kubernetes - and upgrades without drama.
Own systems end to end. From first commit to code serving live customer traffic - plus the spend-visibility and governance product built on top - with a direct line to the founders.