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Required Senior Python Engineer
Were seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment - those who want to be part of the next generation of airspace security innovation.
Join us and help make the world a safer place.
Work with the worlds leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.
Scope:
As a Senior Python Engineer, you will play a key role in the development of our cutting-edge solutions to detect, track and mitigate drones. Your primary responsibility will be to successfully implement real-time, multi-core, and multi-threaded software tasks and continuously develop new features and capabilities for an up-to-date response to new drone models and components, while collaborating with our algorithms and radio-frequency (RF) engineers. This includes coding over a Linux platform, primarily in user space, with a rich and fully automated Continuous Integration and Continuous Deployment (CI/CD) platform. In addition, you will implement Scrum and Agile methodologies in your tasks, while taking features from the early requirement stage through design, implementation, integration, and then handing it over to our validation team.

We are actively seeking a highly skilled and versatile Senior Full Stack Engineer to join our dynamic team. We are the leading global provider of cyber-takeover, counter-drone solutions for sensitive and challenging environments. As we continue to grow and innovate, we recognize the critical role that talented individuals play in shaping our core software features and driving our success in addressing the most difficult counter-drone challenges.
As a Senior Full Stack Engineer, you will play a key role in the development of our cutting-edge solutions to detect, track and mitigate drones. Your primary responsibility will be to successfully implement high quality and efficient FE and BE software tasks, and continuously develop new features and capabilities for our up-to-date response to new drones, while collaborating with our sensor logic engineers. This includes coding/understanding our node and react codebases, which serve a plethora of products. In addition, you will implement Scrum and Agile methodologies in your tasks, while taking features from the early requirement stage through design, implementation, integration, and then handing it over to our validation team.

Required Cloud Senior Software Engineer
Were seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment - those who want to be part of the next generation of airspace security innovation.
Join us and help make the world a safer place.
Work with the worlds leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.
As we continue to grow and innovate, we recognize the critical role that talented individuals play in shaping our core software features and driving our success in addressing the most difficult counter-drone challenges.
We are actively seeking a highly skilled and versatile Cloud Senior Full Stack Engineer to join our dynamic team. This role is pivotal for a professional who has expertise not only in traditional full-stack development but also in designing and implementing scalable, cloud-native, multi-tenant SaaS solutions
As a Senior Full Stack Engineer, you will play a key role in the development of our cutting-edge solutions to detect, track and mitigate drones. Your responsibilities will include designing, implementing, and optimizing our platform leveraging Microservices, Event-Driven Architecture, and modern Cloud Infrastructure (AWS, Azure, GCP).
You will take full ownership of the software lifecycle-from architectural design and coding to automated deployment and production monitoring. You will champion a 'You Build It, You Run It' culture, ensuring high availability and observability of our multi-tenant SaaS environment.
Collaborating closely with sensor logic engineers, you will implement high-performance FE and BE tasks to address emerging drone threats. You will drive feature delivery using Agile methodologies, replacing manual handovers with automated CI/CD pipelines that ensure seamless integration and validation from development to production.

We are looking for a highly skilled Senior Developer - Python Automation Infrastructure and testing to join our R&D Integration Automation team. This role is focused on designing, developing, and maintaining advanced automation solutions across unit, integration, system, and end-to-end testing levels.
The ideal candidate is a hands-on developer with strong expertise in Python and Pytest, experienced in building and executing automated tests, and comfortable working with modern CI/CD pipelines and automation tools. The Senior Developer will act as a technical mentor and key contributor, ensuring best practices are followed and test automation is seamlessly embedded into the development lifecycle. Knowledge of RF systems is a strong plus.
Key Responsibilities:
Design, implement, and maintain automation frameworks and test scripts using Python and Pytest.
Write unit tests, integration tests, and regression suites to ensure comprehensive test coverage.
Develop and execute system-level and end-to-end automation, including API and UI layers (Selenium preferred).
Contribute to and optimize CI/CD pipelines (Jenkins, Docker, Git) for reliable and scalable test automation.
Collaborate closely with SW developers, RF, QA, and DevOps engineers to embed automated testing into every phase of the product lifecycle.
Perform code reviews, provide technical guidance, and ensure automation code meets high quality and maintainability standards.
Analyze test results, identify root causes of failures, and drive timely resolution in partnership with development teams.
Continuously evaluate and introduce new tools, libraries, and practices to improve automation efficiency.
Support integration activities and ensure smooth interaction between hardware, software, and automation systems.

We are seeking a Software Engineering Architect to join the company Tableau engineering team. You will be instrumental in designing and architecting complex, data-driven software systems at scale, with a heavy focus on delivering a best-of-breed Semantic Layer for AI-based data analytics capabilities. As a key technical leader, you will shape the architecture, guide engineering teams in standard methodologies, and ensure the scalability, reliability, performance, and security of our products. You will work on high-impact projects and collaborate closely with Principal Architects.
Your Impact:
Architectural Design & Strategy: Define secure, scalable, and resilient architecture for large-scale, distributed, high-performance systems across multiple cloud environments. Ensure technical solutions align with customer needs, platform, other teas and business requirements.
Semantic Layer & AI Focus: Design, evolve, and govern the next generation of our semantic layer and data modeling framework. Drive the leverage of AI (LLMs and more) and analytic agentic capabilities by providing a unified, rich, and performant data interface.
Execution & Ownership: Be hands-on: write code and POCs, engage in pull requests, and remain close to the code. Simultaneously handle multiple complex, high-priority projects, ensuring architectural decisions support short- and long-term business objectives.
Technical Leadership & Optimization: Provide leadership and mentorship to engineering teams. Lead efforts to optimize system performance and scalability, and ensure high availability and resilience.
Collaboration & Documentation: Work closely with multi-functional teams (PMs, AI experts, engineers, and stakeholders) to define and implement architectural strategies. Create comprehensive documentation for architectural designs and decisions.

Were looking for a technically strong Product Manager to lead the evolution of our products data layer. In this role, you will own the roadmap for our core data infrastructure, ensuring it supports scalable growth, high-quality insights, and seamless integrations. Youll partner closely with data scientists, data engineers, and other data teams to translate analytical and operational needs into clear product direction.
You will also define the vision, strategy, and requirements for our internal and external APIs, shaping how our data is accessed, consumed, and leveraged across the organization and by external partners.
This role requires someone who can balance short-term impact with long-term strategic thinking, and who excels at breaking complex data challenges into clear, incremental deliverables that create meaningful progress.
Responsibilities:
Own and drive the product strategy and roadmap for the core data layer and data platform capabilities.
Collaborate closely with data scientists, data engineers, and cross-functional data teams to understand requirements, align priorities, and deliver impactful solutions.
Define, design, and evolve our internal and external API products, ensuring they are scalable, intuitive, and aligned with business needs.
Break down complex data and infrastructure challenges into clear, achievable milestones and iterative deliverables.
Ensure alignment between near-term product needs and long-term architectural strategy.
Work with engineering to prioritize technical investments, manage trade-offs, and maintain a healthy platform.
Partner with stakeholders across Product, Engineering, Data, and Business teams to ensure consistent delivery and smooth integrations.
Monitor performance, data quality, and platform usage to identify opportunities for improvement

We are looking for a talented Senior Full Stack Developer with an AI-oriented approach to help build and scale the platform powering our legal data operations. This role is critical in developing end-to-end systems used by both legal experts and law firms, leveraging cutting-edge technologies to deliver high-impact solutions. If youre a proactive, technically sharp engineer with a passion for innovation, system architecture, and AI-driven development approach, wed love to hear from you!
Responsibilities:
Collaborate with product managers, designers, and other engineers to design, develop and test our innovative products.
Mentor other engineers, providing technical guidance, define and apply engineering best practices (coding standards, software development methodologies, etc.) to leverage the team technical skills.
Continuously improve the performance, reliability, and security of our applications through design reviews, code reviews, refactoring, and optimization.
Identify and resolve technical challenges and bottlenecks in a timely manner.
Stay updated with emerging technologies and industry trends, and assess their potential impact on our products and processes.
Collaborate with cross-functional teams to translate business requirements into technical solutions.

We are looking for a Senior Data Platform Engineer to design, build, and scale our next-generation data platform, the backbone powering our AI-driven insights.
This role sits at the intersection of data engineering, infrastructure, and MLOps, owning the architecture and reliability of our data ecosystem end-to-end.
Youll work closely with data scientists,r&d teams, analysts to create a robust platform that supports varying use cases, complex ingestion, and AI-powered analytics.
Responsibilities:
Architect and evolve a scalable, cloud-native data platform that supports batch, streaming, analytics, and AI/LLM workloads across R&D.
Help define and implement standards for how data is modeled, stored, governed, and accessed
Design and build data lakes and data warehouses
Develop and maintain complex, reliable, and observable data pipelines
Implement data quality, validation, and monitoring frameworks
Collaborate with ML and data science teams to connect AI/LLM workloads to production data pipelines, enabling RAG, embeddings, and feature engineering flows.
Manage and optimize relational and non-relational datastores (Postgres, Elasticsearch, vector DBs, graph DBs).
Build internal tools and self-service capabilities that enable teams to easily ingest, transform, and consume data.
Contribute to data observability, governance, documentation, and platform visibility
Drive strong engineering practices
Evaluate and integrate emerging technologies that enhance scalability, reliability, and AI integration in the platform.

We are looking for a Data Science Team Lead to lead and grow a talented team working on our core data science challenges.
This is a people-first leadership role. Your primary responsibility will be to support, coach, and develop a team of data scientists and an ML engineer, ensuring their well-being, growth, and long-term success. You will set high technical standards, guide problem definition, and help the team consistently choose the right solution for each problem-whether that involves LLMs, classical ML, or simpler approaches.
Youll operate in a fast-paced startup environment, working closely with engineering, research, product, data, and legal stakeholders. While the role includes some hands-on technical involvement, success is measured by team health, decision quality, and sustainable delivery-not personal output.
Responsibilities:
Lead, mentor, and coach a team of data scientists and an ML engineer
Conduct regular 1:1s and support career development and well-being
Own technical direction and ensure high-quality ML decision-making
Guide problem definition and solution selection (LLMs vs classical ML)
Establish and maintain ML development processes (reviews, gates, evaluations)
Balance short-term delivery with long-term model quality
Communicate risks early and push back on stakeholders when needed
Take full ownership of team execution within 2-3 months.

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.
In this role you'll:
Build core platform services that support all 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 are looking for a skilled senior DevOps Engineer to join our Cloud Infrastructure team.
In this role, you'll be at the forefront of developing platform engineering frameworks used by development teams.
Youll develop our platform engineering solutions, which enable our product teams to move (crazy) fast. Youll work on developing our Infrastructure as Code, maintain all Cloud environments from Dev to Production, enhance Observability, and proactively drive our infrastructure to remain at the forefront of technology.
We are a fast-moving company that encourages and values innovators, deep-divers, and out-of-the-box thinkers.
In this role you'll:
Develop Infrastructure as code using Pulumi and the kubernetes operators framework
Work on maintaining and enhancing multiple kubernetes cluster across multiple development stages
Maintain and enhance our development environment solutions
Maintain and enhance our monitoring and observability
Implement new infrastructure features for cutting-edge products to the latest industry standards
Provide guidance, tools, and support for dev teams on infrastructure-related issues
Participate in incident management, including root cause analysis and post-mortem reviews
Participate in on-call rotation for production support

First and foremost, you'll be a core member of our DevOps team. In addition, you will lead the FinOps aspects of the team, bridge infrastructure and financial optimization, building cost-efficient systems that scale with our AI-driven growth. This role combines deep DevOps expertise with financial accountability-automating cost management, optimizing cloud spend across multiple cloud providers, and ensuring our infrastructure investments drive maximum business value.
In this role you'll:
Drive FinOps strategy: Build automated cost monitoring, forecasting, and optimization tools that give teams real-time visibility into infrastructure spend and ROI
Develop cost-aware Infrastructure as Code: Use Pulumi and Kubernetes operators to deploy infrastructure that's both performant and cost-optimized from day one
Optimize multi-cloud environments: Maintain and enhance Kubernetes clusters across development stages while continuously analyzing and reducing cloud costs across AWS/Azure/GCP
Create financial guardrails: Implement automated budget controls, cost alerts, and resource optimization policies that prevent runaway spending without slowing innovation
Partner with engineering teams: Provide cost-conscious guidance, tools, and support for infrastructure decisions, helping teams understand the financial impact of their technical choices
Lead cost incident response: Participate in both technical incident management and cost anomaly detection, conducting root cause analysis for both performance and spending issues
Scale cost efficiency: Build monitoring and observability solutions that track not just system health, but cost per transaction, feature, and customer segment

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.
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

Join our AI Agents Platform team building the future of developer tooling. You'll create the infrastructure that powers AI-driven development across all of Lemonade's engineering teams.
In this role you'll:
Build platform tools and infrastructure for AI Agents that accelerate R&D delivery across the company
Work with cutting-edge GenAI technologies including LLMs, AI Agents, and advanced prompt engineering
Evaluate and experiment with new AI tools and technologies to assess their potential for company-wide adoption
Design and implement systems that improve developer efficiency and experience through intelligent automation
Collaborate cross-functionally with DevOps, senior technical leaders, and engineering managers on high-impact initiatives
Create developer-facing tools and APIs that integrate seamlessly with modern development workflow
Drive technical decisions for a platform that serves as the foundation for company-wide AI adoption
Contribute to our mission of making insurance instant and delightful through AI-powered innovation

Join our cross-functional fraud detection squad where you'll build systems that protect millions of customers while keeping the good ones flowing seamlessly through our platform.
In this role you'll:
Build fraud detection systems using microservices in Typescript (NestJS) and Ruby on Rails, running over Kubernetes to catch bad actors while keeping legitimate customers happy
Leverage our autonomous tools to manage development flow-from environment setup to production deployment-so you spend time solving fraud, not fighting infrastructure
Collaborate with data scientists, product managers, and fraud analysts in a self-sufficient squad to hit aggressive fraud prevention OKRs
Own your domain's code quality, performance, and scalability as fraudsters get smarter and transaction volumes explode
Design systems that make split-second decisions on claims and applications, balancing security with customer experience
Coach and mentor other engineers while staying ahead of evolving fraud patterns and attack vectors
Partner with our AI/ML teams to implement and optimize machine learning models that detect fraud in real-time