דרושים » ניהול ביניים » Senior Full Stack Engineer

We are seeking a Senior Fullstack Developer to join our EV Solutions team.

This role focuses on designing, developing, and maintaining end-to-end solutions that power our payments infrastructure and electric vehicle (EV) ecosystem, with the primary focus on payments. The ideal candidate has deep expertise in backend development for large-scale production systems, combined with Android development experience for building the frontend/mobile layer, enabling them to build scalable services, reusable SDKs and components, and intuitive mobile experiences.

Your key responsibilities will include:
Lead the design and development of backend services and APIs that power payment processing and EV solutions, ensuring scalability, reliability, and ease of integration.
Design, build, and maintain high-throughput backend services using Node.js - including queueing and caching layers - for production-scale payment and EV systems.
Develop and maintain Android applications using Kotlin as the frontend/mobile layer for payments and EV features.
Collaborate with cross-functional teams (Backend, Mobile, Product, and QA) to define and deliver new features across the payments and EV ecosystem.
Take ownership of features throughout the entire development lifecycle, from design and implementation to deployment and production support.
Provide mentorship and technical guidance to junior developers, fostering best practices in coding, design patterns, and architectural decisions.
Debug, optimize, and maintain existing backend services, SDKs, mobile applications, and UI components to ensure seamless functionality and high-quality performance at scale.

We are looking for a Senior Full-Stack Engineer to join us in building a new production-grade system for the enterprise from scratch. This is a role for an experienced engineer who knows what it takes to bring such a system to production end to end, and treats AI as a core part of the toolkit, both as a force multiplier in how they build and as a first-class capability in what they build. In this role, you will be a key member of our growing team of developers, data scientists, and analysts. You will build a complex, data-intensive system that is powered by LLMs and intelligent agents, and provides a delightful experience to our users.
Responsibilities:
Help architect and build a new AI-native system from the ground up, making foundational design and technology decisions.
Own features end to end, from design through production, deployment, and maintenance.
Build AI-powered product features - integrate LLMs, RAG pipelines, agents, and ML models into production with attention to performance, reliability, guardrails, and observability.
Work AI-natively - use AI coding assistants and agentic tools to accelerate design, implementation, testing, and review, while owning correctness and quality.
Establish and improve the platforms, patterns, and tooling the team builds on.

We are looking for a talented software engineer with a passion for security to help build innovative edge-to-cloud security solutions for our next-generation devices and platforms.

You will contribute to and lead the development of core product features, from understanding system and product requirements and defining feature behavior, through architecture, design, and implementation, to delivering high-quality, secure services and endpoint components.

You will work across the stack, spanning firmware, hardware, operating systems, and cloud-connected security solutions, helping build the trusted security foundations of next-generation devices. You will collaborate with silicon partners, security experts, and engineering teams across us to deliver innovative, end-to-end security capabilities. The role offers significant technical ownership, opportunities to drive innovation, and continuous growth at every stage of your career.

AI is a core part of how we engineer. Our team has broad access to advanced AI capabilities, including unrestricted usage with no token limits, enabling engineers to fully integrate AI into their daily workflow. We actively use AI to accelerate design, coding, debugging, security research, testing, and documentation. We also empower engineers to go beyond personal productivity by building AI-powered tools and agents that improve how the entire team works and delivers value.

Join us in pushing the boundaries of security engineering. From silicon and firmware to operating systems and cloud-connected services, you'll help build trusted foundations that secure our future devices and experiences on a global scale.


Responsibilities

Partner with product, system, cloud, firmware, hardware, and security engineering teams to design and deliver innovative security solutions.

Contribute to and lead the design, implementation, integration, testing, and delivery of core security features spanning firmware, operating systems, endpoint software, and cloud-connected services.

Develop and integrate secure, reliable, scalable, and maintainable software and services using industry best practices and our high security and engineering standards.

Apply secure engineering practices, including threat modeling, secure design reviews, code reviews, mitigation planning, vulnerability response, and security validation.

Define technical requirements, architecture, dependencies, engineering priorities, and delivery plans in a complex cross-team environment.

Work closely with hardware, firmware, operating system, Windows internals, cloud, and security engineers to characterize solutions, define interfaces, and optimize security, reliability, and performance.

Drive features from inception through production, including quality, observability, deployment, monitoring, incident readiness, and continuous improvement.

Leverage advanced AI capabilities to accelerate engineering workflows and build AI-powered tools and agents that improve team productivity and product quality.

Continuously learn emerging security technologies and attack techniques, share knowledge with the team, and mentor peers as your experience grows.

Join our Core SDK Team, responsible for building and maintaining the core mobile technology that powers our platform across millions of applications worldwide. The team develops high-performance, reliable, and secure SDK components used by developers globally.

The Core SDK team operates across Android and iOS platforms, with a long-term vision of a unified mobile SDK engineering team. Engineers collaborate across platform boundaries while maintaining deep expertise in their primary mobile ecosystem.

Operating at the intersection of mobile platforms and large-scale distributed systems, the team tackles complex challenges such as performance optimization, platform compatibility across thousands of devices, and maintaining highly reliable code that runs on billions of devices.

As the team evolves, we are also expanding beyond traditional mobile development and scaling engineering capabilities with AI. This includes building and using AI-powered tooling, MCP-based systems, and agent-driven automation to improve developer productivity, testing, and SDK innovation.

Engineers in the team therefore have the opportunity to work not only on mobile platform challenges, but also on emerging areas where mobile infrastructure, AI systems, and developer platforms intersect.

What youll do
Develop and maintain our mobile SDK features used by developers worldwide.
Design and implement reliable and performant SDK components across multiple mobile platforms and operating system versions.
Take ownership of end-to-end quality, including design, implementation, testing, and production reliability.
Debug and resolve complex issues across different devices, OS versions, and runtime environments.
Improve SDK performance, stability, and reliability at scale.
Develop and maintain SDK wrappers and integrations for cross-platform frameworks such as Unity, React Native, Flutter, and other mobile environments.
Work with modern AI-driven engineering tools, automation systems, and internal developer platforms.
Collaborate with engineers across mobile, backend, frontend, and platform teams.
Participate in code reviews and contribute to engineering best practices.

A cutting-edge deep-tech startup is looking for a Senior Backend / Full-Stack Developer (backend-leaning) to join its core engineering team and help build advanced vision intelligence systems for early threat detection - including drones, boats, and other targets at the edge of visibility.
This role is ideal for someone who enjoys ownership, working across the stack, solving complex engineering challenges, and building meaningful real-world technology.
What youll do:
Own and build backend services in a distributed, event-driven system
Develop real-time data pipelines between edge devices and operator systems
Design and evolve core system architecture and data flows
Build and maintain features in Vue 3 + TypeScript when needed
Develop and scale a large, production-grade TypeScript codebase
Drive reliability, performance, and scalability in production systems
Work closely with product and engineering in a highly hands-on environment

we are looking for a AI-Native Pod Leader.
The AI-Native Team Leader is a new kind of engineering leader at Payoneer - equal parts technical authority, people developer, and AI-first builder. Youll lead a small AI Pod that owns its problems end-to-end: from understanding the business need, through architecture and implementation, to production monitoring. There are no hand-offs, no tickets, no specs thrown over a wall. Your team builds with AI as a primary tool, ships fast, and sets the methodology for how R&D works next.
What youll do:
Lead and develop a small 3-4 engineers AI Pod, with a clear focus on their technical growth, autonomy, and delivery outcomes
Provide technical authority hands-on - code, architect, review, and ship alongside your team
Own the full delivery loop: understand the business problem, define the solution, architect it, ship it, monitor it - no one hands you a spec
Collaborate directly with Product, Design/UX, DevOps, and business stakeholders to define decision logic, risk thresholds, and success metrics - building capabilities, not features
Drive AI-native development - Claude Code, Cursor, and whatever tools give your team the most leverage; build in a day what used to take a team a week
Build the harness before you ship - evaluation frameworks, monitoring, and observability go in on day one, not after the first incident
Be accountable for overall design, architecture, code quality, and production environment across your team
Set a higher technical bar - run design reviews, champion engineering best practices, and push for continuous improvement in code quality and team craft
Define the methodology - this is early-stage work within Payoneer; you wont inherit a playbook, youll write it

We are looking for an experienced and highly capable Lead Software Engineer to help drive the next generation of an advanced Industrial AI platform that combines Industrial Connectivity, Edge Computing, Cloud Technologies, and AI-driven solutions.

This is a highly technical, hands-on role for an engineer who enjoys solving complex software challenges while also influencing architecture, technology decisions, and engineering best practices.

This role is intended for a highly technical engineer who enjoys remaining deeply involved in software development while helping shape architecture and technical direction.

You will play a key role in shaping the evolution of a platform that collects and processes industrial data, integrates with manufacturing systems, leverages AI technologies, and delivers actionable insights and optimization capabilities in near real-time.

This is not a people-management role. The position combines significant hands-on software development with technical leadership, architectural ownership, and close collaboration with engineering, DevOps, and AI teams.

Job Responsibilities
Design, develop, and maintain core components of a modern Industrial AI platform.
Write production-quality code and take an active hands-on role in the implementation of critical software components.
Lead the development of complex features and technical solutions from design through delivery.
Contribute to the architecture and technical direction of software products across the organization.
Drive architecture discussions, design reviews, and technology evaluations.
Design scalable, reliable, and maintainable software solutions.
Collaborate closely with AI and Data Science teams to enable seamless integration of AI capabilities into software products.
Work with Edge and Cloud technologies to support distributed industrial systems.
Provide technical leadership, mentorship, and guidance to development teams through active involvement in design and implementation.
Partner with DevOps teams to ensure smooth deployment processes, operational excellence, and platform scalability.
Help evolve multiple products toward a unified and scalable platform architecture.
Contribute to software engineering standards, best practices, code quality, and technical excellence across the organization.

A leading Israeli software company specializing in SaaS-based Human Resources management solutions is looking for a Full Stack Developer to join its development team.
You will be responsible for building and enhancing a modern, scalable web platform using Angular on the frontend and C#/.NET on the backend, working with cutting-edge technologies and AI-assisted development tools.
Responsibilities:
Develop and maintain full stack web applications (Front End & Back End)
Build responsive UI components using Angular
Design and implement backend services using C# / .NET and Web API
Work with SQL Server for database design, queries, and optimization
Collaborate with product, QA, and R&D teams to deliver high-quality features
Participate in code reviews and ensure best practices in code quality and architecture
Integrate and utilize AI development tools to improve productivity and code quality
Support ongoing system enhancements and production maintenance

We are looking for a software engineer with strong backend skills, a product mindset, and the curiosity to bring LLM-powered agents into the toolchains and Linux environments where chips are actually designed. Success in this role means owning the agentic infrastructure end-to-end: from the platform our agents run on, to the integrations that let them safely act inside our customers' existing flows.
Description
You will join a growing team of ML and software engineers building GenAI solutions for chip design teams. In this role, you will:

* Architect, build, and operate the agentic infrastructure our team relies on:including LLM orchestration, tool-calling layers, multi-agent workflows, and the services that host them.
* Design and implement software solutions for chip design engineers, translating their workflows into reliable, automated agent-driven systems.
* Integrate our agents and services with existing Linux-based environments, in-house tools developed by the team, and third-party EDA tools.
* Manage agentic and ML workflows in production to ensure performance, high availability, and resource efficiency.
* Deploy and maintain production services, with proactive monitoring to catch quality and infrastructure regressions before they reach users.
* Build automated evaluation frameworks to measure retrieval quality, agent execution, and LLM output accuracy across releases.
* Partner with CAD teams to integrate pipelines and agents into CI/CD, ensuring reliable deployments and safe rollbacks.
* Implement access controls, authentication, and secret-handling practices appropriate for working with sensitive design data.
* Collaborate closely with ML engineers, researchers, and our customer teams.