We are looking for a Senior Fullstack Engineer with a strong backend orientation to join the development of our scalable, AI-powered product systems.
What You'll Do:
Join a role that combines deep backend expertise with solid frontend fluency and product thinking, along with the ability to leverage AI tools effectively across the development lifecycle. You will work closely with product, design, frontend, and data/AI teams to build reliable, performant systems and intuitive user experiences, while driving engineering excellence and modern development practices. Your contributions will shape the technical foundation of an AI-first product and directly influence the experience of end users.
What does the day to day of a Senior Fullstack Engineer look like:
Your daily work will span backend architecture, frontend collaboration, and AI-augmented development, engaging directly with the systems that power our product.
Your role will include:
Design and build scalable, maintainable backend services using NestJS (Node.js/TypeScript) and/or Python
Own API design, contracts, and versioning across services
Design and optimize data models, database schemas, and query performance
Implement authentication, authorization, and secure API integration patterns
Build reliable data-fetching layers, caching strategies, and async processing (queues, jobs, events)
Lead backend technical decisions, code quality standards, and system architecture
Ensure system scalability, fault tolerance, and observability (logging, monitoring, alerting)
Contribute to CI/CD pipelines and deployment practices for backend services
Collaborate on frontend applications built with React, TypeScript, and Vite, and contribute to API contracts from the consumer's perspective
Partner with frontend engineers to align on data shapes, performance, and UX constraints
Translate product requirements into robust, scalable technical solutions, working closely with product and design
Conduct high-quality code reviews and drive architectural discussions and best practices
Improve testing, observability, CI/CD, and system reliability across the team
Use AI coding tools effectively in daily development work (Cursor, Copilot, Claude, ChatGPT, etc.), critically evaluating and refining AI-generated code, especially for backend logic and data integrity
Design efficient personal/team workflows for AI-assisted development and contribute to engineering productivity through AI tooling and automation

we are looking for a Senior Software Engineer.
As a Senior Software Engineer you'll help build and evolve our AI Agent platform for IT Service Management. You'll take end-to-end ownership of product features, collaborate closely with cross-functional teams, and deliver AI-powered capabilities for enterprise customers.
What you'll do:
Build and scale full-stack features across frontend, backend, and AI agents.
Develop AI agents using Claude, Gemini, and OpenAI APIs.
Design reliable, scalable, and cost-efficient agent workflows using context management, prompt caching, and tool use.
Define engineering standards and contribute to architecture decisions.
Work closely with product, engineering, and research teams.

We are seeking a Senior Full-Stack Engineer with a deep specialization in Backend Engineering to architect and implement our agentic storefront platform. This is not a traditional full-stack role, you will be responsible for building a high-performance ecosystem where deterministic reliable UI components interface with autonomous AI agents.
Your work will span the entire technical stack- from engineering the orchestration layers for AI agents to developing the robust backend services that empower ML models, connecting to our data layer. These systems allow our storefronts to process market dynamics in real-time and deliver a hyper-personalized, data-driven experience for every customer.
What you'll do:
Architect the Agentic Storefront Framework: Design and evolve a robust, fully configurable React component library that serves as the deterministic foundation for our autonomous, agent-driven storefronts.
Orchestrate Multi-Agent Systems: Construct a sophisticated team of AI agents capable of autonomously building and scaling premium online stores on Shopify using your core UI library.
Engineer High-Performance Backend Services: Develop the low-latency golang services that power our personalization layer, ensuring every customer visit is unique, data-driven, and hyper-relevant in real-time.
Bridge the AI & Commerce Gap: Build the orchestration layer in golang that allows AI agents to perceive market dynamics and translate those insights into immediate, programmatic adaptations within the Shopify ecosystem.
Scale the Agentic Data Layer: Design the backend architecture and data structures that empower agents with the context needed to make intelligent, store-level decisions at scale.
Define Engineering Standards: As a senior owner, you will establish the architectural patterns, coding standards, and best practices for golang and React development across our agentic platform.

We are looking for a Senior Fullstack Engineer with a strong backend orientation (80%) to join the development of our scalable, AI-powered product systems.
What You'll Do:
Join a role that combines deep backend expertise with solid frontend fluency and product thinking, along with the ability to leverage AI tools effectively across the development lifecycle. You will work closely with product, design, frontend, and data/AI teams to build reliable, performant systems and intuitive user experiences, while driving engineering excellence and modern development practices. Your contributions will shape the technical foundation of an AI-first product and directly influence the experience of end users.
What does the day to day of a Senior Fullstack Engineer look like:
Your daily work will span backend architecture, frontend collaboration, and AI-augmented development, engaging directly with the systems that power our product.
Your role will include:
Design and build scalable, maintainable backend services using NestJS (Node.js/TypeScript) and/or Python
Own API design, contracts, and versioning across services
Design and optimize data models, database schemas, and query performance
Implement authentication, authorization, and secure API integration patterns
Build reliable data-fetching layers, caching strategies, and async processing (queues, jobs, events)
Lead backend technical decisions, code quality standards, and system architecture
Ensure system scalability, fault tolerance, and observability (logging, monitoring, alerting)
Contribute to CI/CD pipelines and deployment practices for backend services
Collaborate on frontend applications built with React, TypeScript, and Vite, and contribute to API contracts from the consumer's perspective
Partner with frontend engineers to align on data shapes, performance, and UX constraints
Translate product requirements into robust, scalable technical solutions, working closely with product and design
Conduct high-quality code reviews and drive architectural discussions and best practices
Improve testing, observability, CI/CD, and system reliability across the team
Use AI coding tools effectively in daily development work (Cursor, Copilot, Claude, ChatGPT, etc.), critically evaluating and refining AI-generated code, especially for backend logic and data integrity
Design efficient personal/team workflows for AI-assisted development and contribute to engineering productivity through AI tooling and automation

We believe Its all about the user. All of them. Were passionate about providing a seamless one-stop experience for business travelers, no matter how they travel, where they stay, or where theyre going. We are looking for a passionate Full-Stack Engineer to lead, design and development of core product features and services that power our app used by thousands of travelers on a daily basis. You will work closely with a set of talented engineers, product managers and designers to identify customer needs and build innovative solutions to solve them.
What Youll Do:
Design, build and evolve the core backend and frontend of our platform in a scalable and reliable way.
Build AI-powered features using multi-agent architectures and LLM integrations to deliver intelligent, conversational experiences.
Technically own problem domain: facilitate design, development, and launch of key microservices in the domain.
Work cross-functionally with various engineering and product teams to deliver cross- domain features.
Work with the leadership to identify, plan, and execute long-term vision.
Be the Subject Matter Expert of the domain under ownership.

Our detection engine is a large Python codebase running PySpark over cloud, SaaS, and identity data at scale on Databricks. Youll own its engineering quality - hardening whats there and extending it - working alongside the cyber investigators who define what it should catch.

In this role, you will:

Harden and extend a large production Python codebase: refactoring, module and API design, typing, test coverage.

Own and optimize critical PySpark workflows processing massive security datasets across multi-cloud environments - correctness and cost both.

Design the data models and queries the engine depends on, and fix the slow ones.

Work directly with cyber investigators to turn attacker behavior into detection logic that holds up in production.

Build with AI as a core tool: AI coding agents daily, and the AI tooling the team runs on - agentic and automated workflows (n8n or similar) and LLM-backed services on Bedrock or vendor APIs.

Raise the bar on engineering practice - code review, CI, and the standards the team holds each other to.

Contribute to architectural decisions and technical direction as the platform evolves.An empty job that is used for creating requisitions 'from scratch'

Were hiring a ML Engineer to accelerate AI-driven innovation across B2B SaaS platform.
Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.
What You Will Do:
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.

We are looking for a Sr. Staff Backend Engineer to join our team. This is a Hybrid (Ramat Gan) role, reporting to the Manager, Software Engineering in the Exposure Management & Security Operations department. Avalor, now part of Zscaler, powers the data foundation behind Security Operations platform, ingesting, unifying, and contextualizing data from hundreds of security and business tools to power security modules that deliver actionable insights and measurable risk reduction to our customers. In this role, you'll own complex backend systems that sit at the heart of our data platform, designing and building services that ingest, process, and move massive amounts of data reliably and at scale for enterprise customers worldwide.

What youll do (Role Expectations)

Developing and maintaining high-quality, scalable backend services within a microservices architecture using Java/Spring Boot and Python
Designing and building data pipelines and ETL workflows that ingest, transform, and unify data from diverse sources at enterprise scale
Leading solutions from scratch to production; creating technical designs, driving architectural decisions and taking full ownership of complex projects - from design and implementation through deployment, monitoring performance, reliability and cost, and proactively driving improvements
Collaborating closely with cross-functional partners - product managers, frontend/backend engineers and UX designers
Serving as a technical anchor for the team - leading design discussions, setting engineering standards, and driving best practices across the codebase
Who You Are (Success Profile)

You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

we are looking for a Senior Full Stack Engineer with a backend-oriented mindset to join our growing R&D team.
In this role, youll be responsible for connecting our companys high-scale data infrastructure with our customer-facing portal-turning complex, runtime telemetry into fast, intuitive, and intelligent user experiences. Youll work closely with product, design, and Data pipeline and security engineers to build data pipelines, APIs, and integrations that make our companys platform both powerful and delightful to use.
This is a hands-on role at the intersection of backend systems, high scale data engineering, and user experience, shaping how massive volumes of runtime data flow through our companys data-driven platform.
Youll Be Great For This Role If You Love To:
Design and implement efficient data pipelines and backend integrations that connect our high-scale data to the user-facing portal.
Build and optimize APIs, data services, and caching layers to ensure fast and reliable data access.
Use data modeling, denormalization, and performance optimization to handle complex queries and large datasets effectively.
Collaborate closely with frontend engineers, product managers, and designers to ensure data flows seamlessly into intuitive UI components.
Contribute to the architecture and scalability of our companys hybrid cloud-native platform.
Write clean, testable, production-ready code in Python, Node.js, TypeScript, and React, while keeping performance and maintainability top of mind.
Stay close to users and product feedback loops - helping translate technical insights into better experiences.
Own end-to-end delivery, from backend design through deployment using CI/CD, Temporal, and Kubernetes.

Were looking for a senior engineer who is ready to move beyond traditional software development and take full ownership of product delivery.

This is not a classic backend engineering role. You will work directly with Product to turn ideas and requirements into production-ready solutions, make the technical decisions, and use AI coding agents as a core part of your engineering workflow.

You will own the outcome, not just the code. AI-generated code is your code, and you are accountable for its quality, security, performance, and maintainability.


Own product features end-to-end, from requirements through production and monitoring.
Work with Product to translate business problems into clear technical solutions and execution plans.
Design scalable and maintainable solutions, including architecture, APIs, data models, and integrations.
Use AI coding agents to accelerate implementation, testing, debugging, and automation.
Review and improve AI-generated code, ensuring high standards for correctness, security, performance, and maintainability.
Make independent technical decisions and communicate architectural trade-offs clearly.
Contribute across backend, frontend, QA, CI/CD, and infrastructure when needed to deliver a feature.
Investigate and solve complex production and performance issues.
Continuously improve how we build, test, and ship software using AI-native development practices.