דרושים » תוכנה » Backend Developer

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.

we are seeking a backend engineer with a strong foundation in building scalable, high-performance systems and a deep understanding of cloud infrastructure, distributed systems, and data pipelines. This role focuses on designing and optimizing backend services that support our machine learning (ML) operations and real-time personalization capabilities.
We foster a professional environment where experienced engineers collaborate to drive technical excellence, continuously improving our backend architecture and infrastructure. As a Backend Engineer, you will play a key role in building and maintaining the backend services that power our ML infrastructure, ensuring efficiency, scalability, and reliability.
Role & Responsibilities:
Design, develop, and optimize backend services that support ML pipelines, APIs, and real-time decision-making systems.
Architect and implement scalable and reliable data processing workflows, integrating ML models into production environments.
Build and maintain infrastructure for efficient model deployment, monitoring, and versioning.
Ensure high availability, performance, and security of backend services.
Lead initiatives to improve system architecture, reduce technical debt, and enhance development processes.
Collaborate with data scientists, ML engineers, and DevOps teams to streamline ML model integration.
Stay up to date with the latest advancements in backend technologies, cloud computing, and distributed systems.
R-263410

We are looking for an experienced Backend Developer to join our new Data Platform initiative. In this role, you will work closely with our Senior Data Engineer to build the backend services, data enrichment logic, and APIs that power our upcoming data-facing product.
You will own the application and service layer that transforms, enriches, and exposes data to internal systems and customer-facing interfaces. This role is highly collaborative and requires strong backend engineering skills, experience with Python and Node.js, and a passion for building reliable, production-grade services.
What youll do:
Develop advanced data segmentation and profiling logic in Python on top of the data pipelines provided by the Data Engineering team.
Build and maintain backend services (Node.js or equivalent) to expose processed data to the platform and front-end applications.
Design and implement REST APIs for managing data pipeline configurations (CRUD), workflow settings, and user-facing controls.
Work closely with Product to define feature requirements, service behaviors, configuration models, and lifecycle management.
Own the CI/CD pipeline for the new service, including automated testing, deployment, and observability practices.
Collaborate with the Data Engineers to ensure smooth integrations across data flows, schemas, and processing stages.
Ensure performance, reliability, and scalability of all backend components.
Maintain high engineering standards through code reviews, documentation, and best-practice development patterns.

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

We are seeking a highly skilled Solution and System Architect to join our dynamic team. The ideal candidate will lead the solution end-to-end for the flagship app, focusing on backend engineering pratices/standards. You will drive technological enablers, define both functional and non-functional requirements, and work closely with business, product, and development teams to set and maintain high standards for the mobile app.
Key Responsibilities
Lead the solution end-to-end, from planning to production, with a focus on business , operational and delivery aspects
Define and ensure adherence to non-functional requirements such as performance, security, resiliency, scalability, and operability
Design innovative, valid, and implementable infrastructure solutions to generate reusable components
Guide the discovery team alongside the product manager and integrate with the Scrum team
Support the development team with detailed design, implementation options, tools, libraries, patterns, and best practices
Optimize processes and serve as the focal point as a technological SME
Drive discussions with a wide range of customer personnel from enterprise architects to developers regarding trade-offs, best practices, and risk mitigation

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.

Were looking for an experienced Data Engineer to join our DEX Platform and help drive the next stage of our growth. In this role, youll design, build, and scale data infrastructure and advanced processing pipelines that power real-time insights and intelligent automation across our platform.
As a senior data engineer, youll own the full service lifecyclefrom architecture and development to deployment, monitoring, and scalingwhile ensuring data quality, reliability, and compliance. Youll work closely with backend, AI, and data teams to deliver robust, production-ready systems that support our AI-first strategy and our mission to make the workplace run itself.

We are looking for an experienced and highly skilled C++ Backend Engineer to join our core development team. You will be instrumental in designing, implementing, and optimizing our high-performance, Big Data SaaS backend infrastructure. This role is ideal for an engineer who thrives on tackling complex performance challenges and building robust, scalable systems that process massive amounts of real-time data.





Key Responsibilities
What you will be doing:

Design, develop, and maintain high-quality, high-performance services and APIs using C++.
Optimize system architecture for speed, scalability, and efficiency to handle Big Data processing and real-time data streams.
Collaborate with cross-functional teams (Data Science, Frontend, DevOps) to define, design, and ship new features.
Ensure the reliability, security, and low-latency performance of the backend services.
Write comprehensive unit and integration tests to ensure code quality and stability.
Participate in code reviews to maintain code standards and share knowledge.
Troubleshoot and resolve complex issues related to performance, concurrency, and distributed systems.

We are seeking a highly skilled and motivated Team Leader to build and lead a new team dedicated to developing orchestration tools and software solutions for AI datacenters.
The main goal of this team is to design and deliver customer-focused orchestration platforms that simplify the deployment, management, and monitoring of large-scale AI workloads.
This role combines technical leadership with hands-on development, covering the entire AI datacenter ecosystem including switches, hosts, smart NICs, GPUs, ROCm, and RCCL. The team will primarily develop in Python, complemented by modern full-stack technologies for user interfaces and control systems.
Key Responsibilities:
Lead and mentor a team of engineers building orchestration tools that manage complex AI datacenter infrastructures.
Define the teams vision, roadmap, and architecture for orchestration solutions that enhance customer experience and operational efficiency.
Design and implement distributed control and orchestration systems using Python and full-stack frameworks.
Collaborate with networking, compute, and AI acceleration teams to integrate orchestration capabilities across all datacenter components (switches, NICs, GPUs, and software stacks).
Work closely with product, QA, and DevOps teams to identify customer requirements and translate them into scalable, production-grade orchestration platforms.
Ensure software reliability, scalability, and maintainability through strong design principles, testing, and CI/CD practices.
Foster a culture of innovation, technical excellence, and cross-functional collaboration.

As a Staff Engineer in the Data & AI Platform group, you will be a senior technical leader responsible for driving the design, implementation, and delivery of complex, high-impact features across our companys data and AI ecosystem.
You will set engineering standards, lead cross-team initiatives, and provide hands-on technical guidance to developers working on large-scale, cloud-native distributed systems.
This role combines deep technical expertise with leadership: shaping the platforms architecture, mentoring senior engineers, and ensuring technical excellence and execution.
In this role you will
Lead end-to-end development of high-priority, cross-team features and initiatives in the Data & AI platform.
Design and implement scalable, resilient, and secure distributed systems in a modern cloud environment.
Drive technical decision-making, influence architecture directions, and collaborate closely with product, data engineering, and AI teams.
Mentor developers, support their growth, and elevate engineering practices across the group.
Promote engineering excellence through code reviews, design reviews, and continuous improvement initiatives.
Evaluate new technologies and guide their adoption where appropriate.
Collaborate with engineers and managers across our company to align standards, share knowledge, and lead technical deep dives.