דרושים » תוכנה » Software Engineer

as a Software Engineer will be critical to the companys success. You will build a strong and robust infrastructure integrated with the platform to acquire security insights. You and the team will design, develop and maintain out-of-the-box modules, algorithms and extensions while working with highly talented engineers.



What you'll do:
Design and build high-performance and distributed infrastructure for search and pipeline products
Integrate with the platform and be a key player in its design and development
Develop extendable libraries and utilities which will speed-up our implementations and make sure were building scalable and high-quality solutions
Work closely with product and other R&D teams
Help with solving complex customer issues with our solutions and platform

We are looking for an experienced Senior Software Engineer to join our team and help design, build, and scale the systems that power our products. In this role, you will work on high-impact projects that combine cutting-edge technology, complex distributed systems, and challenging algorithmic problems in transportation, routing, and navigation. You will have the opportunity to own features end-to-end, make key technical decisions, and shape the architecture and reliability of large-scale systems.

What Youll Do:

Architect, build, and scale robust, high-performance systems from initial design through deployment to production.
Own features end-to-end, from concept through development, testing, deployment, and maintenance, with strong accountability.
Develop features and APIs for concurrent applications in Golang.
Implement and improve geometric and graph algorithms to support core product
functionality.
Maintain Python and Java server applications, ensuring reliability and stability.
Write production-grade code that is efficient, reliable, maintainable, and optimized for performance.
Optimize application performance, uptime, and scalability, while maintaining high standards of code quality and thoughtful application design.
Run benchmarks and write analysis scripts for geographical data.

We are looking for an experienced Senior Backend Engineer to join our Browse Management Core team.

As part of our core team, youll design and implement high-impact backend services, collaborate with frontend, DevOps, and product teams, and play a key role in shaping the next generation of Browse Management architecture.

Youll help build and evolve the backend infrastructure that powers our cloud-native security platform, delivering advanced protection, observability, and scalability at global scale.

If youre passionate about solving complex backend challenges, scaling distributed systems, and driving innovation in cybersecurity, this is the place for you.

Key Responsibilities
Design, develop, and maintain cloud-native backend services supporting a large-scale SaaS security platform.
Build scalable, secure, and resilient architectures using modern AWS services (EKS, ECS, EC2, RDS, SQS, CloudFront, IAM).
Develop and optimize RESTful and event-driven APIs, backend integrations, and data flows.
Work in a microservices-based environment, ensuring high availability, observability, and performance.
Collaborate closely with frontend, DevOps, and product teams to deliver end-to-end solutions.
Implement monitoring, alerting, and reliability best practices for production environments.
Write clean, maintainable, and testable code, contributing to best practices and design standards.
Participate in architecture and design reviews, influencing the technical direction of the platform.

Were looking for a Senior Software Engineer to join our growing R&D team. In this role, you will play a critical part in designing, building, and optimizing complex systems that power our AI-driven platform.
Youll work across the stack- primarily on backend services - with opportunities to influence architectural decisions and build highly scalable and performant systems.
Youll collaborate closely with AI, product, and frontend teams to bring advanced features to life and ensure a seamless, intelligent experience for our users.
This is a high-impact role for someone who is passionate about engineering excellence, eager to shape systems end-to-end, and ready to grow with a fast-moving, AI-first company.
Key Responsibilities:
Design, develop, and maintain robust backend systems and services.
Ensure the scalability, performance, and security of backend components.
Collaborate with front-end developers and data teams to integrate user-facing elements with server-side logic.
Optimize the platform's infrastructure to handle large-scale data processing and analysis.
Troubleshoot and debug complex issues, identifying and implementing the most effective solutions.
Contribute to the architecture and system design decisions for the backend infrastructure.
Stay up to date with industry trends and new technologies to continuously improve backend performance.

We are seeking an experienced and highly skilled Senior Python Backend Developer to join our dynamic team.
You will be at the heart of our engineering efforts, responsible for designing, developing, and maintaining the high-performance, scalable, and secure cloud-based solutions that power our Fintech Compliance and Risk management products.
Working with cutting-edge technologies like Python, Node.js, and AWS, you will build innovative, low-latency, and highly available systems that form the core of our business. In this role, you will be instrumental in shaping our technical architecture and driving excellence in a fast-paced, evolving environment.
Key Responsibilities:
Architecture & Development: Lead the design and development of robust, scalable, and secure backend systems and APIs, primarily using Python.
Cloud Infrastructure: Architect, build, and maintain high-scale solutions on modern cloud platforms (specifically AWS) to ensure reliability, scalability, and performance.
System Performance: Design and implement services optimized for low-latency processing, high availability, and fault tolerance for mission-critical financial applications.
Technical Leadership: Provide technical leadership and mentorship to junior and mid-level developers, fostering best practices in code quality, testing, and maintainability.
Product Focus: Develop and enhance Compliance and Risk management products for the Fintech sector, ensuring they meet strict regulatory requirements and industry standards.
Optimization & Reliability: Take ownership of system performance, scalability, and reliability. Proactively identify and resolve bottlenecks in code and architecture.
Collaboration: Work closely with cross-functional teams, including frontend developers, DevOps engineers, and product managers, to deliver seamless end-to-end solutions.
Innovation: Stay current with emerging technologies and industry trends, driving the adoption of new tools and frameworks to solve complex challenges effectively.

We are seeking a highly skilled Senior Networking AI Platform Engineer to join our Applied Networking AI group. In this role, you will help design and develop cutting-edge AI solutions, integrating them seamlessly into a variety of products. Youll collaborate closely with multi-functional teams of data scientists, software engineers, and DevOps professionals to ensure the efficient deployment, monitoring, and optimization of machine learning (ML) models.
As a key contributor, you will drive the entire software development lifecycle-from conceptualization and architecture to implementation and production-while working closely with engineering teams to solve complex problems and help build a successful company practice.
What you'll be doing:
Lead the design, development, and deployment of robust software systems across different platforms and environments
Architect, design, and implement scalable and high-performance software solutions, handling complex requirements and integrating various subsystems
Ensure systems are maintainable, flexible, and well-documented, with an emphasis on performance and security
Adapt to new tools, technologies, and frameworks, and be capable of taking ownership of the development process from conception to deployment
Supply innovative ideas and solutions, driving continuous improvement in both code quality and system efficiency
Develop and maintain scalable infrastructure for handling and deploying security and networking ML models in production, ensuring high availability, scalability, performance.
Design and implement data pipelines to efficiently process and transform large volumes of data for training and inference purposes.
Optimize and fine-tune ML models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.
Collaborate with data scientists and software engineers to operationalize and deploy ML models, including model versioning, packaging, and integration with existing systems.

As a Software Engineer, you will join our Agents team to architect, develop, and take ownership of our cross-platform endpoint security agent (sensor), a core component of our Asset Risk Management (ARM) solution. In this role, you will design and implement high-performance, low-footprint agents for Windows, macOS, and Linux, ensuring reliable and scalable data collection even in the most demanding enterprise environments. You will collaborate closely with R&D engineers, product managers, and the support team to deliver secure, sophisticated, and highly requested customer features.

What Youll Own and Deliver
Own the full feature lifecycle (from requirements to production monitoring) for our endpoint sensors and core APIs across supported operating systems.
Develop critical new features and resolve complex issues for our enterprise clients, directly contributing to the evolution of our established product.
Collaborate within an agile, small team on both the agent (C#, .Net) and the backend using a microservices architecture with short development and deployment cycles.
Design, optimize, and troubleshoot low-level components that run on multiple operating systems (Windows, Ubuntu, macOS) and containerized environments.
Provide robust production support; troubleshoot and debug issues in both on-premise and cloud deployments, working closely with customer support.
Work with other development teams to define robust APIs and Schema, ensuring data reliability, availability, and correctness across the entire system.

We are seeking a passionate and highly skilled Senior Golang Developer to join our dynamic Software Engineering team. The ideal candidate is an expert Go engineer with a strong background in building scalable, high-performance distributed backend systems on the cloud. You should be enthusiastic about working with cutting-edge technologies in an Agile environment and capable of owning complex components end-to-end, taking an idea through design, testing, and production monitoring.

What will you do:
Responsible for the full lifecycle of our distributed services, focusing on performance, reliability, and innovation: Design & Development
* Architect, design, and implement robust backend services and distributed system components using Go, ensuring high scalability, reliability, and performance.
* Develop microservices and server side infrastructure with clean, maintainable, and testable code.
* System Ownership: Take full ownership of complex components, moving them from initial concept design through development, testing, CI/CD, and production deployment and monitoring. System Optimization & Data
* Optimize service performance, parallel processing, concurrency handling, and resource utilization in high-scale environments.
* Work with a variety of data stores and event-streaming technologies.
* Integrate services with technologies like OpenSearch, Redis, and column store databases as part of the system architecture.
* Implement secure development practices and production ready standards. Collaboration & DevOps
* Work closely with Data Engineering, DevOps, and Product teams to deliver high quality, production grade services.
* Develop and deploy applications in Kubernetes environments, leveraging strong DevOps best practices and CI/CD pipelines for smooth, reliable releases.
* Participate actively in code reviews, design discussions, and cross team technical initiatives. Innovation
* Explore new technologies, evaluate tools, and propose improvements to the existing stack and development processes, championing a culture of continuous improvement and technical excellence.


About Us:
Cynet is a leader in threat detection and response, designed to simplify security for organizations of all sizes. Our mission is to empower lean security teams and their partners with an AI-powered, unified platform that autonomously detects, protects, and responds to threats - backed by 24×7 security experts. With a Partner First mindset , we focus on helping customers and partners stay protected, operate confidently, and achieve their goals. Our vision is to give every organization true cybersecurity peace of mind, providing fast, accurate protection without the noise or complexity.

Were seeking a Staff Site Reliability Engineer to join our team and take ownership of the automation, reliability, and scalability of our platform. You will play a key role in refining our service architecture, CI/CD pipelines, and multi-cloud deployments, ensuring that our systems remain secure, efficient, and resilient. This role is ideal for a hands-on problem-solver who thrives in a fast-paced environment and is comfortable with ambiguity. We're looking for someone who can take ownership of a problem and drive solutions.

This is a hybrid role based in Tel Aviv, offering a chance to work closely with our founders and a team of highly talented individuals. Together, you will help shape the vision of our product and company while solving challenging infrastructure problems at scale.

What youll be doing

Design, build, and operate Okta's global production infrastructure
Support a highly available and large scale multi-cloud environment as part of an on-call rotation
Automate workflows, deployments, and infrastructure processes
Design, implement, and optimize CI/CD pipelines for faster and more reliable delivery
Refine and maintain multi-tenant service architecture with strong security and scalability
Deploy and manage infrastructure using Kubernetes, Terraform, and other modern IaC tools
Build robust monitoring, logging, and alerting systems to ensure platform reliability
Write automation and maintenance scripts, primarily in Python and Golang
Collaborate with engineering teams to improve developer experience and delivery speed
Lead by example, responding swiftly and efficiently to production incidents, and driving team learning and process improvements

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of Lemonades data ecosystem.

The groups mission is to build a state-of-the-art Data Platform that drives Lemonade toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.

In this role youll :
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams

Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights

Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance

Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights

Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions

Collaborate closely with other Staff Engineers across Lemonade to align on cross-organizational initiatives and technical strategies

Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions

Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization