Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Staff Software Engineer in the Detection Platform group, you will be tasked with being the technical authority responsible for defining and evolving the architecture of the cloud-native systems that power our AI SIEM detection, hunting, and response capabilities, including large-scale real-time detection engines, stateful detection engines, anomaly detections, ML pipelines, agentic SOC and threat-hunting capabilities. You will lead the design and execution of backend systems that process billions of events and several petabytes of data daily and serve tens of thousands of security specialists at enterprise and government customers worldwide. Your technical leadership will bridge long-term architectural strategy and high-velocity product delivery, and you will drive cross-team initiatives that shape how detection and response are built and operated across the group.

As a Full Stack Software Engineer, your job responsibilities will include:
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level)
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.

We are looking for a top-notch Senior Full Stack Engineer who will work on our next first-to-market AI-powered products and create elegant solutions using the latest technologies. This position will be based in our R&D office in the heart of Tel-Aviv.

In this role, you will be responsible for designing, developing, and maintaining end-to-end (client and server) features and web applications. You will work closely with our design, product, and AI teams to translate complex requirements into intelligent, user-friendly experiences powered by data and automation.

As part of growing AI initiatives, you will help build products that leverage LLMs, AI agents, and advanced analytics to deliver actionable insights for marketers at scale. You will have the opportunity to work on innovative AI-driven experiences, integrate modern AI infrastructure and tools, and shape how customers interact with and understand their data.

We deeply encourage our engineers to develop a deep understanding of our industry, our customers, and emerging AI technologies, while continuously growing their engineering skills. You will also have the chance to work in one of the most professional R&D teams in the startup community and grow professionally.
Key Responsibilities


Build and maintain backend services responsible for integrating with a wide variety of APIs, webhooks, and partners.

Design, develop, and own integration flows end-to-end: architecture, implementation, deployment, and monitoring.

Work on data pipelines handling large volumes of streaming and batch data with high reliability and low latency.

Ensure data accuracy and consistency across ingestion, transformation, and storage layers.

Collaborate with product, data engineering, and customer-facing teams to understand edge cases, resolve production issues, and improve partner integrations.

Take ownership of features and systems while proactively identifying gaps and driving improvements.

Integrate and leverage industry technologies such as Kafka, Iceberg, DynamoDB, Postgres, EMR, Kubernetes, Druid, Snowflake, and more.

we are looking for a Senior Full Stack Engineer to join our Engineering team. In this role, you will lead the design and development of end-to-end features across our gifting platform, with a strong focus on backend architecture. Youll play a key role in shaping scalable systems, driving technical decisions, and delivering high-impact solutions in a fast-growing, cloud-based SaaS environment.

Working with modern technologies such as React, Node.js, TypeScript, Serverless architecture, and Kafka, you will collaborate closely with product, design, and data teams to build reliable, performant, and user-centric experiences. You will also help evolve our engineering standards, development processes, and use of emerging tools-including AI-to improve team productivity and product quality.



You will
Lead the design and implementation of complex, scalable systems end-to-end (frontend and backend, with backend focus)

Own projects from ideation through production, including architecture, development, deployment, and monitoring

Make and influence key technical decisions, balancing speed, scalability, and maintainability

Collaborate cross-functionally to translate business needs into robust technical solutions

Drive best practices in code quality, testing, observability, and security

Mentor engineers through code reviews, design discussions, and knowledge sharing

Continuously improve development processes, tooling, and team efficiency

Contribute to a strong engineering culture of ownership, accountability, and continuous learning

we are looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI - shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work.
This is a **cross-functional, company-wide role**. You won't be embedded in a single product team - instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
What You'll Do:
- Design, build, and operate LLM-powered applications, agents, and workflows end-to-end - from prototype to production.
- Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient.
- Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows.
- Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems.
- Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities.
- Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack.

As a Backend Software Engineering, your job responsibilities will include:
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
Develop high-quality, production-ready code that can be used by millions of users of our cloud platform.
Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level).

We are looking for a Senior Full-Stack Engineer to join us in building a new production-grade system for the enterprise from scratch. This is a role for an experienced engineer who knows what it takes to bring such a system to production end to end, and treats AI as a core part of the toolkit, both as a force multiplier in how they build and as a first-class capability in what they build. In this role, you will be a key member of our growing team of developers, data scientists, and analysts. You will build a complex, data-intensive system that is powered by LLMs and intelligent agents, and provides a delightful experience to our users.
Responsibilities:
Help architect and build a new AI-native system from the ground up, making foundational design and technology decisions.
Own features end to end, from design through production, deployment, and maintenance.
Build AI-powered product features - integrate LLMs, RAG pipelines, agents, and ML models into production with attention to performance, reliability, guardrails, and observability.
Work AI-natively - use AI coding assistants and agentic tools to accelerate design, implementation, testing, and review, while owning correctness and quality.
Establish and improve the platforms, patterns, and tooling the team builds on.

We are looking for a talented Software Engineer to join a team building an internal, AI-powered platform designed to significantly improve product quality by identifying edge cases and long-tail scenarios in autonomous driving systems.
Using state-of-the-art Vision and Language models, the team is rethinking how training, validation, and stress-testing are done.
This is a highly impactful engineering role focused on building innovative internal products end-to-end- tools developed from scratch that are designed to become part of the companys daily workflows and directly influence core algorithmic and product decisions.
If youre passionate about deep learning-driven products, large-scale experimentation, and owning complex systems from design to production- this is the place for you.
What will your job look like:
Take part in building an AI search platform from scratch, and owning it end to end in a production environment.
Design and implement full-stack solutions, including backend services, frontend interfaces, and database management.
Work with cloud-based systems, containers, and modern software infrastructure to support performance, scale, and reliability.
Collaborate closely with algorithm developers and internal users to expose complex capabilities in a simple, usable way.

Were looking for a Full Stack Developer who doesnt just use AI tools - but knows how to work with them as part of the development process.
Youll build end to end features across a modern TypeScript stack, work closely with Product and Design teams, and help create AI powered experiences used by real customers every day.
This role is for developers who combine strong engineering fundamentals with fast execution, ownership, and curiosity around modern AI technologies.
What Youll Do:
Build full stack features across React frontend and Node.js backend services
Design and maintain scalable APIs and backend systems
Work with MSSQL databases, including schema design and query optimization
Deploy and manage services on AWS environments
Integrate AI capabilities such as LLMs, copilots, and AI agents into product features and internal tools
Use AI development tools to improve speed, quality, and workflows
Structure development workflows around AI tools while maintaining engineering quality and long term maintainability
Lead technical discussions and help shape engineering standards across the team
Collaborate closely with Product, Design, QA, and other developers
Debug production issues across APIs, cloud infrastructure, databases, queues, and distributed systems
Contribute to architecture decisions, code reviews, and technical roadmap discussions
Write clean, scalable, and maintainable code.

we are looking for a Senior Software Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives , striving to constantly bring innovation and leverage AI capabilities across all company teams and products.

Today, AI is central to how operates, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.

If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.
What you will be doing:

Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
Develop and maintain our internal MCP server that easily and securely exposes vast data stores to AI agents.
Create and implement robust evaluation frameworks and AI guardrails to safeguard value and ensure model reliability.
Establish deep expertise and sustainable AI engineering practices.
Promote AI readiness and track adoption across the company to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
Partner with teams across to accelerate AI adoption and productization efforts.