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We are seeking an experienced Senior Developer with deep expertise in Python and AI development to join our team.

The ideal candidate will have hands-on experience building AI-powered applications and agentic AI systems that can autonomously perform complex tasks.

Job Description
Design and build autonomous AI agents capable of multi-step reasoning and task execution
Work with LLMs (Large Language Models) and Agentic Frameworks (AutoGen, Microsoft Agent Framework)
Responsible for implementing micro-services from design to production.
Take ownership of development, maintenance, testing strategy, design discussions, and operations of the team,
with containerized API services
Participate in all aspects of agile software development including design, implementation, and deployment
Responsible for the end-to-end lifecycle of new product features / components
Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design
Work with a small, cross-functional team on products and features to drive growth.
Learning new tools, languages, workflows, and philosophies to grow
Research and suggest new technologies for boosting the product.
Have an impact on product development by making important technical decisions, influencing the system architecture, development practices and more.

We are seeking an experienced Senior Developer with deep expertise in Python and AI development to join our team. The ideal candidate will have hands-on experience building AI-powered applications and agentic AI systems that can autonomously perform complex tasks.

Job Description
Design and build autonomous AI agents capable of multi-step reasoning and task execution.
Work with LLMs (Large Language Models) and Agentic Frameworks (AutoGen, Microsoft Agent Framework).
Responsible for implementing micro-services from design to production.
Take ownership of development, maintenance, testing strategy, design discussions, and operations of the team, with containerized API services
Participate in all aspects of agile software development including design, implementation, and deployment.
Responsible for the end-to-end lifecycle of new product features / components.
Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design
Work with a small, cross-functional team on products and features to drive growth.
Learning new tools, languages, workflows, and philosophies to grow
Research and suggest new technologies for boosting the product.
Have an impact on product development by making important technical decisions, influencing the system architecture, development practices and more.

Joining us means becoming part of a company that solves real problems for real customers while giving you the opportunity to learn, grow, and make an impact.

What will your work be like?

Join a Zerto development team working in an Agile/Scrum environment.

Develop new features and solve challenging bugs.

Contribute to a distributed, multi-service system with complex business logic.

Work with a modern, continuously evolving technology stack, including Kubernetes, .NET Core, virtualization APIs, and more.

Use AI throughout the software development lifecycle-including research, design, coding, code reviews, environment provisioning, product deployment, and bug analysis-with tools such as GitHub Copilot, OpenCode, Atlassian Rovo, and MCP servers.

As a Senior Backend Engineer on the Exchange Engine team at our company, you will be a driving force behind the core systems of our massive mobile advertising platform. You will tackle complex architectural challenges where every millisecond counts, building real-time, highly concurrent systems that process millions of requests per minute. In this position, your impact extends beyond feature implementation; you will take charge of major initiatives, architect core systems, and raise the bar for engineering excellence across the entire team.
Key Responsibilities
Architectural Design & Execution: Lead the end-to-end design, development, and delivery of complex, scalable, and highly available backend services for our real-time ad exchange. Architect systems with a focus on long-term maintainability, ensuring that large-scale changes and migrations are predictable and low-risk.
Performance Optimization: Profile, tune, and optimize system performance to ensure ultra-low latency and high throughput under massive concurrent loads.
Technical Mentorship: Act as a technical multiplier by mentoring junior and mid-level engineers, conducting rigorous code reviews, shaping technical standards, and promoting software engineering best practices.
Cross-Functional Leadership: Collaborate directly with Product Managers, Data Scientists, and other engineering squads to translate complex business requirements into robust technical solutions and to understand the revenue journey, ensuring technical decisions directly support market competitiveness and platform growth.
Production Excellence: Own the lifecycle of your services in production. Implement advanced monitoring, alerting, and observability to troubleshoot and resolve deep-system production incidents.
Infrastructure Collaboration: Work closely with DevOps to optimize our deployment pipelines and cloud infrastructure (Kubernetes, GCP).
AI-Driven Engineering: Leverage modern AI coding assistants and agentic tools to accelerate development velocity, automate routine tasks, and free up cognitive load for complex architectural challenges.

We are looking for a Senior developer to join the Cloud WAF R&D group, located in Rehovot. The team develops cloud-based solutions to manage and optimize the website protection orchestration. Our Cloud WAF (Web Application Firewall) is a key component of our offering, providing enterprise-class protection against the most sophisticated security threats.

If you are passionate about building a large scale service with delightful user experiences, excited about security and ready to fight cybercrime, able to learn and then demonstrate a deep understanding of backend and Cloud technologies, come join us - together we can make a worldwide impact!

Key Responsibilities:

Design and develop large-scale, scalable, distributed backend services.

Take technical ownership of features and components from design through production.

Solve complex performance, scalability, and reliability challenges in distributed systems.

Influence architecture and technical direction.

Leverage AI tools and practices to improve engineering productivity and quality.

we are looking for a talented Senior Backend Java Engineer to join our team and build cutting-edge solutions for the logistics world. Youll work on designing, developing, and implementing features for a robust and scalable platform that transforms how businesses deliver goods and services.
At our company we turn logistics from a bottleneck into a strategic advantage. Our unified platform transforms fragmented operations into seamless, scalable execution empowering businesses to meet demand with speed and precision.
RESPONSIBILITIES
Design, plan, and execute the roadmap for the team, focusing on introducing new ways to improve application performance
Work on the design of complex features across the platform
Collaborate with product managers to understand business requirements and translate them into technical solutions
Work with team members on technological and architectural topics to drive engineering excellence.

Do you thrive on solving complex problems and want to make a real impact?
we are looking for a Backend Java engineer responsible for managing the interchange of data between the server and the users. In this senior role, you will play a pivotal role in our optimization engine, driving the core routing intelligence of our platform.
If you like a good challenge and are looking for a place to grow professionally, we are the place for you! Join the amazing process of developing a robust and scalable solution for the last mile and on-demand world.
Responsibilities
Optimization Engine Leader: Serve as a central pillar for our optimization engine, collaborating closely with the product team to shape the journey from client requirements to server-side reality.
Architecture Ownership: Lead and maneuver the optimization engine architecture to ensure maximum efficiency and scalability.
Complex Problem Solving: Solve complex puzzles by investigating discrepancies between system design and real-world results, proving hypotheses, and taking actionable steps to resolve them.
Backend Development: Define and maintain the server end-to-end flow, develop server-side logic, and ensure high performance, scalability, maintainability, and responsiveness to frontend requests.

We're looking for a Senior Backend Engineer to join our Platform team in Tel Aviv. You'll build the infrastructure that powers our entire engineering organization, accelerating how our teams ship features that millions of customers rely on. This role is perfect for someone who loves solving complex distributed systems challenges and creating tools that make other developers' lives better.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Build core platform services that support all our company development teams across web, mobile, and backend systems
Design and maintain robust APIs for distributed microservices architecture using TypeScript, with Rust experience as a major plus
Collaborate with staff engineers and tech leads to establish platform standards, patterns, and best practices across the engineering organization
Own service stability and communication between systems, implementing both synchronous and asynchronous patterns at scale
Drive developer efficiency initiatives by creating tools, frameworks, and infrastructure that eliminate friction for product teams
Work hands-on with AWS infrastructure including Kafka, RabbitMQ, EKS, SQS, Lambda, and infrastructure-as-code tools like Pulumi
Partner closely with DevOps teams to ensure seamless deployment, monitoring, and scaling of platform services.

We're looking for a backend engineer to help build and scale the systems that power our company's Home products. You'll be part of a self-sufficient squad within our Engineering team in TLV, working closely with Product, QA, Data, and Machine Learning to ship features that make a real difference for homeowners.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Build and maintain Home product features using microservices written in TypeScript (NestJS)
Leverage our in-house autonomous tools to manage the full development flow - from setting up your environment to deploying services to production
Collaborate closely with Product, QA, Analytics, Data, and ML teams within a self-sufficient squad to hit the squad's OKRs
Take ownership of your domain - writing clean, scalable, production-grade code that holds up at scale
Contribute to engineering best practices and help raise the bar across the team.

We're looking for a Backend Engineer to help build and scale the Machine Learning Platform that powers how our company uses AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units
Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management
Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring
Evaluate and choose the right tools and technologies based on workload demands and performance requirements
Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals
Identify and fix reliability, scalability, and performance gaps before they become problems.

Were looking for a senior-level backend engineer to join our growing Engineering team in TLV.
This role will require you to bring features to the finish line while collaborating closely with other developers, as well as with the Product, QA, Data, and Machine Learning teams-all with the goal of delivering a seamless, joyful experience for our customers.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role youll:
Help build our products using microservices written in Typescript (using NestJS).
Leverage our in-house autonomous tools to manage all development flow, from setting up our development environment to creating git branches and deploying services to production
Collaborate closely with the Product team, in a self-sufficient squad to achieve the squads OKRs
Be the owner of your domain to ensure code quality, performance, and scalability of our products
Coach and mentor other developers and help them elevate their skills.

Anyone can ship an AI agent. Shipping one thats right ~98% of the time, with no human checking its work, takes different engineering. Thats what this team builds.
We're looking for a Senior Backend Engineer to help push our AI customer-service agents closer to fully autonomous insurance service. You'd be joining the team behind the agent that talks to real customers every day over email, phone, chat, and SMS - handling policy questions, claims conversations, and verified documents end-to-end, with no human in the loop. This isn't a demo or a copilot. Real customers, real money, real stakes, every day.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Design, build, and own production LLM agent systems end-to-end - deciding how the agent thinks, what it's allowed to do, and how it fails safely
Work on our real-time voice agent, where the hard problems are conversational: interruptions, mid-sentence tool calls, and keeping response times imperceptibly fast
Shape the next generation of our knowledge base - how the agent's knowledge is structured, curated, and served, so answers stay grounded as coverage grows
Ship changes as controlled experiments, measure them against thousands of replayed real conversations on our in-house eval platform, and graduate winners into production
Track cost per conversation across millions of LLM calls and find the wins that cut spend without cutting quality
Own what the model knows and says - the customer context it sees, the limits on what it may reveal, and the guardrails against confident nonsense
Build and operate scalable backend services in TypeScript/Node on Kubernetes/AWS with deep observability - if you ship it, you own it.

We're looking for a Senior Backend Engineer to help build and scale the Machine Learning Platform that powers how our company uses AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units
Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management
Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring
Evaluate and choose the right tools and technologies based on workload demands and performance requirements
Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals
Identify and fix reliability, scalability, and performance gaps before they become problems.

We're looking for a Senior Backend Engineer to help build and scale the Machine Learning Platform that powers how our company uses AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units
Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management
Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring
Evaluate and choose the right tools and technologies based on workload demands and performance requirements
Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals
Identify and fix reliability, scalability, and performance gaps before they become problems.

We are looking for a Senior backend engineer who is strong in Python and enjoys building reliable, data-intensive systems. You will help develop our next-generation platform, integrations with external data sources, and the services that collect, process, and expose data throughout our product.
This is primarily a backend engineering role - not a pure data engineering or DevOps position. However, you should be comfortable working with data pipelines and taking services through the full lifecycle, from design and implementation to production monitoring.
This is a hybrid position, including two work-from-home days per week, with flexibility .
Responsibilities
Design, build, and maintain backend services using Python and FastAPI.
Develop reliable integrations with external APIs, platforms, and data providers.
Build and improve data-collection and processing workflows, including scheduled, asynchronous, and long-running workloads.
Contribute to our new platform and capabilities such as algorithm execution and data collection orchestration.
Design efficient data models and queries for operational databases and analytical systems such as Amazon Redshift.
Handle real-world integration challenges including rate limits, retries, partial failures, idempotency, and changing external schemas.
Improve the performance, scalability, observability, and reliability of existing services.
Own features end to end: technical design, implementation, testing, deployment, monitoring, and ongoing improvement.
Collaborate with product and engineering colleagues to turn ambiguous requirements into pragmatic technical solutions.