דרושים » תוכנה » Backend & AI Software Developer

We are looking for a Full Stack Developer.
our developers take full ownership across the stack from ideation and architecture to deployment, observability, and maintenance.
Youll craft seamless user experiences, build scalable backend systems, and help shape how AI integrates into our engineering workflows and product development.
In our full CI/CD environment, youll work closely with a passionate team, leveraging modern technologies and AI-driven tooling to accelerate development, automate repetitive tasks, and deliver high-quality, high-impact solutions that empower millions of small businesses worldwide.
Key Responsibilities:
Collaborate with product managers, designers, and fellow engineers to bring ideas to life.
Build next-generation web applications focused on user experience and scale.
Create efficient and reusable front-end abstractions and systems, while adopting AI-powered tools that accelerate UI development (e.g., Figma-to-code generation).
Craft secure, scalable, and maintainable backend services, and contribute to decisions around how AI/MCP capabilities are exposed across microservices.
Lead architecture design, implementation, and monitoring of solutions.
Perform code reviews, drive engineering best practices, and help the team adopt AI tools that boost productivity and improve developer experience.
Champion modern technologies including AI integrations, MCP patterns, observability, and automation to push our engineering organization forward.

we are looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, automation, and scalable AI platforms.
If youre an innovator at heart, passionate about leveraging AI to solve complex problems, and thrive in an environment where experimentation and entrepreneurship are encouragedthis role is for you.
Responsibilities:
 Develop and integrate AI-powered solutions to enhance engineering productivity, automate workflows, and improve developer efficiency.
Evaluate and implement state-of-the-art AI platforms (ChatGPT, Claude, Gemini, custom models) to solve engineering and operational challenges.
Design and maintain AI-driven internal platforms such as knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Work alongside engineering, DevOps, and product teams to embed AI into everyday development workflows.
Lead Proof-of-Concept (PoC) projects, experimenting with LLMs, generative AI, and automation frameworks to create tangible business impact.
Stay ahead of emerging AI trends, researching and implementing cutting-edge AI models and tools.
Build scalable AI infrastructure that integrates with cloud environments (AWS, GCP, Azure) and engineering toolchains.
Promote a culture of innovation, empowering teams to embrace AI-driven solutions and fostering AI adoption across the organization.

As part of our ongoing innovation, were expanding our capabilities around AI-driven development and automation. The Dev AI Infra & Tools team leads this transformation - building the internal platforms and tools that empower our engineers to design, test, and deliver faster, smarter, and more securely.

Youll work hands-on with Generative AI frameworks and agents, developing the systems and integrations that change the way our engineering teams work.



Key Responsibilities
Design and build AI-driven internal tools that enhance developer productivity.
Develop and maintain the infrastructure supporting GenAI agents and automation frameworks.
Prototype and experiment rapidly, turning ideas into practical solutions.
Collaborate with DevOps, backend, and product engineers to identify and implement high-impact GenAI use cases.
Evaluate new Generative AI and agent-based technologies and integrate the most promising ones into production.
Define and track efficiency metrics to continuously improve developer velocity and experience.

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 looking for a talented and experienced Full Stack Developer to join our Data Loss Prevention (DLP) Next Cloud service team.

In this role, you will be part of a dynamic team that designs, develops, and deploys next-generation DLP cloud services.

This platform is integral to our suite of security products, including Network Security, Email Security, SASE, Endpoint, SaaS, and Cloud Security.

In today's AI-driven world, data is an invaluable asset, and safeguarding it is paramount.

This role offers a unique opportunity to work with cutting-edge technologies and deliver transformative results in the Data Loss Prevention domain.

Key Responsibilities
Design, develop, and maintain innovative DLP cloud services.
Collaborate with team members, product managers, and other stakeholders to define project requirements and deliver high-quality solutions.
Ensure the scalability, performance, and security of the DLP cloud services.
Stay up-to-date with the latest industry trends and technologies to drive continuous improvement and innovation.
Participate in code reviews, testing, and debugging to ensure the highest quality standards.
Contribute to the development of best practices and technical standards within the team.

Were looking for a seasoned Software Engineering Team Leader, with a strong background in infrastructure, with a focus on Development Tools, to join the company team. In this role, you will be a part of and infrastructure team focusing on the overall Developer Experience, with the goal of reducing friction and increasing the entire R&D organization efficiency and enable faster, more reliable and engaging development process.
Responsibilities:
Lead multiple development teams through recruitment, mentoring, and day-to-day management
Discover, define, design, build and own products and tools across the entire development process (starting from SCM, through IDE, AI agents, build, testing, environments, feature flags and all the way to continuous deployment and production metrics. And more...).
Work in collaboration with the Development and Research orgs on one side, in collaboration with DevOps and SRE, to capture requirements, identify issues and jointly resolve and deliver solutions.
Educate (yourself and the organization) about State-of-the-Art tools, techniques and methodologies which would allow us to continuously improve our R&D.
Act as an evangelist for the above initiatives, supporting adoption across our company.

We are looking for a passionate Software Developer to join one of our most exciting and innovative products in the world of Security Automation and AI - Infinity Playblocks.

This is an amazing opportunity to be part of a cutting-edge cloud platform that helps customers automate, orchestrate, and secure their environments - and to help shape it from its early stages.

Youll join a leading team developing both the backend and frontend of a state-of-the-art SaaS application, working in an agile, fast-paced environment and collaborating closely with product, design, and data teams.

If youre passionate about technology, eager to innovate in the AI and automation space, and love turning ideas into impact - wed love to have you on board!

Key Responsibilities
End-to-end backend and frontend development of a new cloud product in the field of Security Automation and AI.
Lead all stages of the development cycle - from requirements to production - while developing multi-tenant, high-scale, efficient, and secure code.
Be part of a growing, leading team working with state-of-the-art cloud and web technologies, including microservices architecture.
Collaborate closely with cross-functional teams and customers to solve complex problems and innovate new features.
Propose solutions for complex technical challenges.

Get ready to shape the future of software development at our company! You'll be joining a pioneering team building our revolutionary, internal agentic AI tool. This isn't just another product; it's our solution for increasing developer productivity through advanced vibe coding using state-of-the-art LLM models.
We are developing an enterprise-grade, high-scale platform, designed to be used by thousands of our own engineers. We are looking for a tech-savvy and innovative developer who is excited to build the generative AI-powered tools that will define our next generation of engineering.
Your Impact
Drive the development of sophisticated, AI-powered features end-to-end, from ideation and technical design to seamless deployment in production.
Architect and implement hyper-scalable solutions on GCP capable of supporting thousands of developers, ensuring enterprise-grade quality and reliability.
Obsess over the developer experience, passionately enhancing the user experience (UX) of the product's features to create an intuitive and powerful tool.

We're hiring backend engineers (4+ years experience) with strong system design skills and real hands-on experience in cloud-native environments (AWS/GCP, Docker, Kubernetes).
Proficiency in Kotlin, Java, or Go is required. You should be comfortable working with REST/gRPC, Kafka, and both SQL & NoSQL databases. Bonus if youve worked in startups or built SaaS products using microservices architecture. We value clean code, fast execution, and full end-to-end ownership.
Responsibilities:
Participate in the architecture, design, and implementation of innovative cloud-based services and development infrastructure.
Address multi-tenancy aspects, high availability, agility, security, and more.
Participate in Product Decisions and help design Aponos core product. The challenge is to build an efficient, robust, and bulletproof solution since our infrastructure powers our customers' mission-critical services.

we are looking for a AI Engineer to join our R&D organization and help lead the development of AI-powered and data-driven capabilities in our Developer Productivity Platform.
In this role, you will transform data into actionable insights and intelligent models that help software teams understand, measure, and improve how they work. Youll work closely with product, data, and engineering teams to design and deliver AI and data science solutions that have real impact on developer productivity and business outcomes.

Key Responsibilities:
Design, develop, and deploy AI-driven features & data science and ML models to analyze code flows, software development processes, team behaviors, and performance metrics.
Build AI & data pipelines and analytical infrastructure that ensure data quality, accessibility, and freshness at scale.
Translate complex data into clear, actionable insights and code analysis that influence product direction and drive customer value.
Develop and maintain predictive, prescriptive, and diagnostic models to support use cases like delivery forecasting, productivity measurement, and team health analysis.
Partner with Product Managers, Data Engineers, and Backend Engineers to bring insights to life through AI & data-driven features and platform improvements.
Monitor and continuously improve model performance through experimentation, A/B testing, and user feedback loops.
Research and evaluate new AI/ML tools and methodologies to enhance the platforms intelligence and scalability.