דרושים » תוכנה » Backend Engineer

As a Senior Back End Engineer, you will play a crucial role in designing, building, and optimizing the core backend systems that power our advanced AI-driven security tools. Your work will be instrumental in ensuring that our platforms are scalable, secure, and efficient, enabling our AI engines to process vast amounts of data, assess risks, and deliver actionable insights.


What you will do:
Design, develop, and maintain robust and scalable backend systems to support our Security's AI-driven security tools.
Collaborate with the AI, front-end, and product teams to integrate backend services with AI models and data processing pipelines.
Optimize the performance and reliability of backend services, ensuring low latency and high availability.
Implement and manage APIs that facilitate seamless integration with external systems and internal components.
Ensure that backend architecture adheres to security best practices, safeguarding sensitive data and maintaining compliance with industry standards.
Monitor, debug, and resolve any issues in the production environment to maintain system health and uptime.

We are looking for a Sr. Staff Backend Engineer to join our team. This is a Hybrid (Ramat Gan) role, reporting to the Manager, Software Engineering in the Exposure Management & Security Operations department. Avalor, now part of Zscaler, powers the data foundation behind Security Operations platform, ingesting, unifying, and contextualizing data from hundreds of security and business tools to power security modules that deliver actionable insights and measurable risk reduction to our customers. In this role, you'll own complex backend systems that sit at the heart of our data platform, designing and building services that ingest, process, and move massive amounts of data reliably and at scale for enterprise customers worldwide.

What youll do (Role Expectations)

Developing and maintaining high-quality, scalable backend services within a microservices architecture using Java/Spring Boot and Python
Designing and building data pipelines and ETL workflows that ingest, transform, and unify data from diverse sources at enterprise scale
Leading solutions from scratch to production; creating technical designs, driving architectural decisions and taking full ownership of complex projects - from design and implementation through deployment, monitoring performance, reliability and cost, and proactively driving improvements
Collaborating closely with cross-functional partners - product managers, frontend/backend engineers and UX designers
Serving as a technical anchor for the team - leading design discussions, setting engineering standards, and driving best practices across the codebase
Who You Are (Success Profile)

You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

As a Senior Software Engineer, you will be responsible for designing and building core backend services and product capabilities, working on scalable systems that handle large volumes of security-related data, and developing robust features that improve security posture in cloud environments.

The ideal candidate will have strong software engineering foundations, a product-minded approach, and experience building distributed systems in production.

You will collaborate closely with Product, Research, and Engineering teams to deliver secure, performant, and reliable solutions end-to-end.

You will work within the engineering department, contributing to architecture decisions, improving code quality, scalability, and reliability, while maintaining strong ownership over development and delivery in a fast-paced environment.

Responsibilities
Design, develop, and maintain high-scale backend services and APIs.
Build features that identify and prevent cloud misconfigurations and security risks.
Write clean, maintainable, and testable code with high engineering standards.
Participate in system design and architecture discussions (scalability, reliability, performance).
Collaborate with Product, Research, and other engineering teams to define and implement end-to-end solutions.
Optimize performance and improve system reliability, monitoring, and observability.
Take ownership over services in production, including troubleshooting and incident resolution.
Contribute to engineering best practices: code reviews, technical documentation, CI/CD improvements.
Support and mentor other engineers, helping grow the teams technical excellence.

We're looking for a Software Engineer to join our R&D team. In this role, you'll design and build scalable, high-performance systems that bring together rich backend capabilities and intuitive frontend experiences. You'll be part of a mission-driven team, building innovative technologies that enable security teams to detect, analyze, and respond to threats faster than ever before.


WHAT YOU WILL DO
Develop and own end-to-end features across the entire stack, from backend services to frontend interfaces.
Design and implement distributed backend systems that handle massive volumes of security data in real-time.
Build modern, responsive, and accessible user interfaces using React, TypeScript, Remix, Tailwind, and Shadcn.
Architect and maintain robust APIs and data contracts between the frontend and backend.
Collaborate with product, design, and security experts to deliver impactful user facing features.
Ensure high code quality by writing comprehensive unit, integration, and E2E tests using tools like Vitest, Playwright, and React Testing Library, as well as backend testing tools
Optimize system performance, reliability, and scalability on both ends of the stack.
Take part in critical architectural discussions and influence the technical direction of the platform.

We are seeking an experienced DevOps Engineer to join our Engineering team and play a key role in building and operating our cloud-native platform. The ideal candidate will have hands-on experience managing production environments at scale, driving cloud transformation initiatives, and supporting the of enterprise systems from on-premises deployments to modern SaaS and cloud-native architectures. You will be responsible for designing, automating, and maintaining scalable infrastructure, CI/CD pipelines, and deployment processes that support both our core products and emerging AI-driven capabilities. Working closely with Engineering, QA, Product, and AI teams, you will help ensure the reliability, security, and performance of our services while driving operational excellence and continuous improvement across our technology stack.
Responsibilities:
Design, implement, and maintain CI/CD pipelines.
Manage and optimize cloud infrastructure across AWS, Azure, and/or GCP.
Develop and maintain Infrastructure as Code using Terraform.
Manage Kubernetes-based environments and GitOps deployment workflows using Argo CD and
Kustomize.
Lead and support the migration of enterprise applications and infrastructure from on-premises
environments to scalable SaaS and cloud-native architectures.
Establish, maintain, and continuously improve production environments, ensuring high availability,
security, scalability, and operational excellence.
Demonstrate strong production ownership, including incident management, root cause analysis,
capacity planning, and performance optimization.
Collaborate with Engineering, QA, Product, and AI team
Support the deployment, operation, and monitoring of AI and Generative AI services.
Build and maintain monitoring, logging, and alerting systems.
Troubleshoot and resolve infrastructure, deployment, and production issues.

we are looking for a Senior DevOps Engineer with deep AWS expertise and strong hands-on experience with Kubernetes, GitOps, and Infrastructure as Code.
In this role, you will design, automate, and scale secure, highly available infrastructure and CI/CD pipelines supporting flagship product. Beyond hands-on engineering, you will play a key role in shaping platform architecture, driving DevOps best practices, mentoring engineers, and continuously improving the reliability, scalability, and efficiency of our production environments.
Responsibilities:
Architect and manage secure, scalable, and highly available AWS environments, including multi-account and multi-region architectures.
Design and implement GitOps-driven CI/CD processes using ArgoCD, Argo Workflows, GitHub Actions, and related tooling.
Lead Infrastructure as Code (IaC) practices using Terraform and additional technologies such as Pulumi and Crossplane.
Build, operate, and maintain production-grade Kubernetes (EKS) environments, including Helm-based deployments and cluster lifecycle management.
Automate infrastructure provisioning, application deployment, and operational workflows across development, staging, and production environments.
Drive DevSecOps practices, including security scanning, secrets management, and compliance automation.
Establish and continuously improve monitoring, logging, and observability using tools such as Datadog, Prometheus, Grafana, and OpenTelemetry.
Partner closely with development teams to enable seamless application integration and rapid, reliable software delivery.
Optimize infrastructure for scalability, resilience, performance, and cost efficiency.
Mentor engineers, promote DevOps best practices across teams, and contribute to platform and architecture decisions.
Participate in and continuously improve the on-call rotation supporting mission-critical production systems.

We are seeking a Software Engineer to join our core development team. You will design, build, and ship the platform that powers discovery, session-aware detection, policy governance, and runtime enforcement across workstations, SaaS, and cloud. You will work on scalable, low-latency services that process agent activity in real time and enforce security policies without slowing builders down. This role requires strong engineering fundamentals, a focus on system reliability, and an interest in the unique challenges of agentic security.

Responsibilities
Design and Implement Services: Design, develop, and deploy scalable backend services and APIs for the Security platform (customer and admin APIs, detection ingestion, aggregation, and control-plane services).

Build Core Features: Implement features for agent/MCP/skill discovery, session and intent-aware detection, policies, and runtime enforcement across coding agents and enterprise AI platforms.

Optimize Runtime Protection: Maintain and optimize high-throughput detection and enforcement pipelines that operate at enterprise scale (ingestion, detectors, verdicts, and policy dispatch).

Integrate with Platforms: Build and deepen integrations with coding agents, SaaS AI platforms, identity providers, EDR, SIEM, and outbound action systems to ingest telemetry and enforce controls.

Ensure Reliability: Focus on code quality, performance, monitoring, and stability through robust testing, CI/CD, and operational excellence.

Collaborate with Research: Partner with the AI Security Research team to turn findings, signatures, and heuristics into production-ready detectors and enforcement logic.

Contribute to Architecture: Participate in technical design and architectural reviews across our codebases, agents, and event-driven backend services.

Stay Current: Continuously learn and apply new technologies, development methodologies, and security best practices.

As a Senior Backend/Frontend Developer , youll play a crucial role in shaping the technical direction of our platform. Youll be a key contributor to our backend architecture, ensuring scalability, security, and performance, while also contributing to the frontend user experience using React. Youll work closely with a talented team of engineers, product managers, and designers to deliver solutions that directly impact peoples lives and support our growing user base. This role offers the potential to grow into a Tech Lead position.

Were looking for a passionate and experienced developer who thrives in a fast-paced startup environment, takes ownership of challenges, and is excited about using technology to make a real-world impact, particularly in the mental health space.

Our Stack: Node.js, ReactNative, React, Redis, AWS, PostgreSQL, Typescript.


Responsibilities:
Backend Development:
Design, develop, and maintain robust, scalable, and secure backend services using Node.js and Typescript.
Contribute to the architecture and evolution of our platform, ensuring it meets current and future requirements.
Optimize backend performance and identify/resolve bottlenecks.
Develop and maintain RESTful APIs and integrate with various services.
Work with databases (PostgreSQL, Redis) to ensure data integrity and performance.
Contribute to the integration of AI models and services into our backend infrastructure.


Frontend Development:
Develop and maintain user interfaces using React native.
Collaborate with designers to implement UI/UX designs.
Ensure the frontend is performant, accessible, and user-friendly.
Write clean, well-documented, and testable code.

We are looking for a Backend Software Engineer to join the team and help develop the integration and enforcement layer behind our products. You will work on production software deployed in diverse environments, solve complex web and infrastructure challenges, and own features from design through delivery and operation.
What youll do:
Design, build, and maintain backend and edge components that integrate our detection and enforcement capabilities into customer environments.
Develop reliable, secure, and maintainable services and SDKs, primarily using JavaScript and TypeScript.
Own the full software lifecycle, including technical design, implementation, testing, deployment, monitoring, troubleshooting, and continuous improvement.
Optimize performance and reliability for latency-sensitive components that operate directly in the request path.
Solve portability and integration challenges across different platforms, runtimes, and customer architectures.
Collaborate closely with Product, Security Research, Customer Success Engineering, and other Engineering teams to deliver end-to-end solutions.
Investigate complex production and customer-integration issues and turn what you learn into product and engineering improvements.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructure-someone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacks-its about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakes-designed for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object store-backed data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.