דרושים » ניהול ביניים » Senior Backend Engineer

Were looking for a Senior Backend Engineer to join our core team and build the engine behind AI-native security. We aren't just building another dashboard, we are architecting a system that processes massive data streams and pushes AI models to their absolute limits to outthink modern attackers. If you are a builder at heart who thrives on high-scale challenges, ownership, and the fast pace of an early-stage startup, youll fit right in.
What You'll Do:
Design and build the core backend systems from the ground up
Architect scalable, resilient infrastructure that processes large volumes of security data
Make high-impact technical decisions with real ownership
Work closely with AI and security researchers to turn cutting-edge ideas into production systems
Take features from concept through production and monitoring
Help define engineering standards, culture, and best practices.

We're looking for a Senior Backend Engineer to own core infrastructure that powers our platform - from the pipelines that move and process data at scale, to the systems that keep our engineering org shipping fast and reliably. This is a technical leadership role: you'll set architecture direction, raise the bar on engineering practices, and mentor other engineers, while staying deeply hands-on.
You'll operate in an organization that expects AI-native ways of working. Using tools like Claude, Cursor, Hermes or LangGraphor isn't a bonus here - it's the baseline for how we build, and we expect you to help the rest of the team level up on it too.
What Youll be Doing:
Own core backend infrastructure - design and build scalable, reliable Node.js/TypeScript/Python/Go services that other teams and systems depend on.
Build and scale data pipelines - architect the infrastructure that processes and moves large volumes of data reliably, efficiently, and at scale.
Elevate test & validation infrastructure - build the automation, tooling, and CI/CD systems that let engineering ship fast without breaking things, and that make quality and reliability measurable.
Set technical direction - make architecture decisions with company-wide impact, drive design reviews, and establish engineering standards and best practices.
Mentor and multiply - level up other engineers technically, and help shape a fast, high-ownership engineering culture as the team grows.
Lead with AI-native workflows - use AI-assisted development tools daily to move faster without sacrificing architectural quality, and champion their adoption across the team.

Were looking for a Senior Backend Engineer to join our R&D team and play a key role in building the companys core technology from the ground up.
In this role, youll take end-to-end ownership of our backend systems - from architecture and technical design, through hands-on development, to production and scale. Youll lead the creation of reliable, scalable foundations that bring product vision to life.
What You'll Do:
Build and lead complex, scalable backend systems that power our core web platform
Design and implement solid architectures with a strong focus on performance, reliability, and maintainability
Champion a "Full-cycle" engineering culture, owning everything from design to production-grade deployment
Collaborate closely with engineering and product teams to ensure efficient, well-integrated systems across platforms
Continuously raise the bar on code quality, best practices, and engineering standards

Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding , we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with zero human intervention . Our platform runs in production at global enterprise customers, including Fortune 500 companies , delivering mission-critical resilience and sub-second optimization We are looking for a Senior Backend Engineer to build the systems behind Zipher’s autonomous execution engine. You will own core infrastructure that turns high-volume telemetry and changing cloud conditions into reliable, real-time decisions across production data and AI workloads.
What You’ll Do
* Architect and scale the core backend services that power real-time workload orchestration, optimization, and self-healing
* Build resilient, high-throughput systems for processing distributed state, event streams, and production telemetry at scale
* Design infrastructure that makes autonomous decisions observable, explainable, and safe for enterprise engineering teams
* Partner closely with data, ML, and platform engineers to bring optimization models and control loops into reliable production systems
* Drive architectural decisions, raise the engineering bar, and own services from design through deployment, observability, and incident response
What We Offer
* A chance to build the core execution engine for a new category of autonomous data platform High ownership from day one : real architectural influence, direct exposure to founders, and responsibility for mission-critical systems
* Technical, high-velocity team that values curiosity, speed, and engineering craftsmanship Top-of-market compensation and meaningful equity Ready to build the infrastructure that lets data and AI workloads run autonomously? Hit Apply.

Our engineering team is at the core of how modern data security is built. We are redefining how organizations understand and protect their most sensitive data in a world of growing scale, speed, and complexity. By combining high-performance systems with intelligent, AI-driven capabilities, we challenge traditional approaches and push the boundaries of what data classification can achieve.
Were looking for engineers who thrive in open-ended environments, are energized by hard problems, and are motivated to build solutions that dont yet exist. This role is about more than writing code. Its about shaping how intelligent systems detect, interpret, and protect data across cloud and endpoint environments.
In this role, you will play a central part in designing and building a core classification engine that powers multiple security solutions across the platform. Your work will directly influence how different products identify risk, enforce protection, and operate at scale. Youll work at the intersection of large-scale systems and applied AI, turning raw signals into accurate, reliable insights that help customers secure their data with confidence.
Key Responsibilities
Build and scale AI-driven data classification and detection capabilities for next-generation data security products.
Design systems that identify, classify, and protect sensitive data in real time across cloud and endpoint environments.
Lead technical design discussions and influence architecture for large-scale data processing systems.
Partner with product, infrastructure, and other engineering teams to deliver tightly integrated solutions.
Solve complex engineering challenges related to scale, performance, reliability, and operations.
Raise the technical and collaborative bar by mentoring, sharing knowledge, and improving team practices.
Proactively suggest ideas, lead initiatives, and drive continuous improvement across the product and engineering processes.

Were looking for a Senior Infrastructure Engineer who views "Infrastructure as Software." In 2026, we dont just manage servers; we build high-performance environments that allow multi-agent systems to operate at scale.
You will be a core member of the R&D team, blending deep DevOps expertise with the coding rigor of a Backend Engineer. You arent just "configuring" AWS; you are architecting the distributed systems and data pipelines that power our autonomous security brain. Your mission is to ensure that while our agents are evolving and taking actions, our underlying platform remains immutable, observable, and infinitely scalable.
What You'll Do
Design, build, and operate our company's cloud infrastructure using AWS, Kubernetes, and Infrastructure as Code.
Build internal tools and platform services using Python and Go to improve developer productivity and system reliability.
Own infrastructure automation with Terraform, Pulumi, and modern cloud-native tooling.
Partner closely with Backend, Data Science, and Security Engineering teams to build scalable, reliable platforms.
Improve observability, monitoring, and incident response across distributed production systems.
Design and optimize infrastructure for performance, scalability, security, and cost efficiency.
Help shape engineering best practices, platform architecture, and developer experience as our company continues to grow.

Were launching a new AI team at our company to build AI-first products and foundational platform capabilities from the ground up. This is a founding engineering role in our Tel Aviv office, with ownership and influence from day one.
Youll design and build foundational systems that power the next generation of our companys platform, working on high-impact, customer-facing products and helping set the technical bar for the team.
What youll do:
Own features end to end - take ideas from early concept through production. You wont just write code, youll ship real products, iterate quickly, and see the impact of your work with customers.
Think beyond the task -Take initiative, understand the broader context, and help drive product and technical decisions. This is not a ticket-driven role.
Build AI-powered systems- Use AI where it meaningfully improves product quality, development velocity, or user experience, both in what we ship and how we build.
Backend-focused, full-stack mindset- Your core focus will be backend systems, but youre comfortable working across APIs, data, infrastructure, and DevOps when needed.
Design for scale - Build backend services that are reliable, maintainable, and designed to grow with the platform.

Were looking for a Senior Backend Engineer to join our companys R&D team and help define the future of endpoint security.
Youll join a small, high-caliber engineering team that builds the services and data platforms powering our companys product. Your mission will be to design and operate reliable, scalable, and secure backend systems that make our product fast, trustworthy, and easy to extend.
What You'll Do
Build and own backend services and microservices using Python and Go.
Design schemas, run migrations, and build the analytics layer on ClickHouse.
Deploy and operate services on AWS + Kubernetes
Improve reliability, performance, and observability; participate in design/code reviews.
Drive end-to-end delivery across design, implementation, testing, deployment, and monitoring.
Collaborate closely with product, design, and data teams, explain tradeoffs and iterate fast.
Thrive in a dynamic, high-velocity landscape, leveraging cutting-edge stacks and advanced AI capabilities to build what matters.

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.

We're looking for a Senior Software Engineer to join us at a moment when AI is reshaping how software gets built and how attackers operate. You'll ship production code in a core engineering team, own features end-to-end, and help push our engineering org to be genuinely AI-native, both in what we build and in how we build it.
This is a hands-on role for someone who wants real ownership, works well with product and research, and is excited to use AI as a daily force multiplier.
Responsibilities:
Design, build, and ship features across our platform, from architecture through production
Own components end-to-end: performance, reliability, security, and long-term maintainability
Partner with product managers, security researchers, and other engineers to turn hard problems into shippable products
Lead the integration of AI capabilities (LLMs, agents) into the product where they create real user value, not just where they look good in a demo
Drive the adoption of modern AI coding tools (Cursor, Claude Code, Copilot) as part of your daily workflow, and actively mentor the team to level up their AI-driven development
Raise the bar on code quality, review culture, and technical decisions
Mentor other engineers and contribute to how the team works, not just what it ships.