לוח משרות דרושים מהנדסים בתל אביב יפו, לחיפוש זה נמצאו 1,165 משרות

Join our Cortex Cloud security Devops team as experienced Devops engineer.
The cloud security platform empowers teams through automation and security-as-code. We are looking for a DevOps Engineer to help build, manage, and secure our infrastructure while ensuring optimal performance and reliability.
Your Impact
Design, implement, and maintain scalable cloud infrastructure solutions.
Execute on our technical roadmap and drive infrastructure improvements from concept to deployment.
Improve service uptime by building comprehensive monitoring and enforcing SLAs.
Implement robust security measures and stay updated on the latest security best practices.
Provide technical guidance on infrastructure and security to the broader engineering team.
Act as an internal user of our cloud security platform, providing valuable product feedback to the development team.

Required Strategic Engineer, CEO office
About the position:
The Strategic Engineer, in our CEO's Office serves as a strategic connection point between our product organization and its go-to-market teams. Reporting to the Field CTO, this role addresses the company's highest-priority challenges as they emerge, and operates across a broad and evolving scope of strategic initiatives.
The core of the role is 0→1 execution. Each quarter, the position is aligned to specific company KPIs, and is responsible for building the required foundations from the ground up: processes, tooling, content, and enablement infrastructure. Initiatives are developed, validated, and operationalized before being transitioned to the relevant owning team.
Execution spans a wide range of activities depending on the initiative in focus. These may include:
Building product demos and technical assets on the platform
Partnering with marketing to produce content that communicates our positioning to the market
Meeting with customers and prospects to gather feedback and validate direction
Representing us at industry conferences and events
Conducting market research to inform where the company invests next
Designing and standing up new internal processes, programs, and tooling
The scope of this role is intentionally broad and will evolve alongside company priorities. It is well suited to a candidate who thrives on breadth, operates with speed and autonomy, and is motivated by working at the center of the business.
What success will look like:
Own strategic initiatives end to end, from definition through execution and handover, working in close partnership with the Field CTO on direction while driving the execution independently
Proactively identify signals in the market, product, or field, and initiate ideas and projects independently, without waiting for direction from the Field CTO or CEO
Set a consistently high quality bar, delivering work that is best in class rather than simply complete
Operate independently in front of customers and prospects, running meetings and demos with confidence and credibility
Become a recognized internal expert on both the platform and the broader market, and a person other teams come to for answers
Move quickly across changing priorities, ramping into new domains and delivering meaningful output within weeks rather than months
The clearest signal of success is that initiatives this person touches move faster, land better, and reach a higher standard than they would have otherwise.

We are looking for a Linux Internals Software Engineer for our Tel Aviv R&D center. You will be part of a team that designs and develops the Linux internals components of our revolutionary endpoint security product for the Linux platform
More information about Cortex XDR product can be found here.
Key Responsibilities
Design and implement innovative capabilities for a market-leading product, deployed on a range of platforms from bare-metal to the cloud.
Develop critical components in the Linux internals parts of the product, including user and kernel-mode OS-related infrastructures in both C and C++.
Utilize cutting-edge Linux technologies for real-time event collection, anti-malware, anti-exploitation, and network filtering.
Lead features by collaborating and coordinating with other development and QA teams to ensure alignment on shared objectives.
Uphold and contribute to a team culture that values software development best practices and high standards for quality.

As a Senior Software Engineer, youll play a key role in building and scaling the data infrastructure that powers our platform. Youll work on complex, large-scale data systems that collect, process, and transform massive volumes of cloud and SaaS usage data into reliable, actionable insights for our customers.

Youll take ownership of core data pipelines and backend services, tackle challenging problems in distributed systems, and drive improvements in performance, reliability, and scalability. Working closely with engineering teams and other business units, youll contribute to architectural decisions and help shape the next generation of our data platform.

This is a high-impact role for an engineer who enjoys solving complex data engineering challenges, working with modern cloud and big data technologies, and building resilient systems that operate at scale.

Responsibilities:

Own, enhance, and improve our core platform.

Build and maintain systems for collecting and processing metrics from client environments.

Focus on system efficiency and resilient infrastructure.

Integrate well-known SaaS platforms into our big data repository (e.g., major cloud providers, Datadog, Snowflake).

Optimize Spark and Airflow processes.

Contribute to data design and platform architecture while working closely with other business units and engineering teams.

Face the challenges of testing and monitoring large-scale data pipelines.

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 Autonomous execution is a new category, and we are the ones defining it — already running in production inside Fortune 500 environments , where being wrong is not an option. The team is deliberately talent-dense ; every hire changes what we are able to build next. We are looking for a Senior Full Stack Engineer to own Zipher’s entire product surface — the control plane that turns autonomous decisions into something engineering leaders can see, trust, and act on. You will own it end to end: the services and APIs behind it, and the real-time interfaces built on top of them. This is a backend-heavy role . It is best suited for candidates whose primary expertise and passion lie in backend development
What You’ll Do
* Own the product surface end to end : architecture, services, APIs, and the real-time interfaces built on top of them
* Set the technical direction of the control plane — stack, data contracts, and the patterns every engineer after you builds on
* Build high-throughput services that turn live telemetry from production data and AI workloads into decisions, and the explainability layer that makes those decisions readable
* Work directly with the founders on what gets built next, and lead the technical moves that follow — from what enterprise customers need to the architecture that answers it
* Drive quality end to end: testing, CI/CD, observability, and the operational bar for a product Fortune 500 engineering teams run in production
What We Offer A product that is already winning : a new category of autonomous data platform, in production inside Fortune 500 environments A domain of your own : you lead it end to end — the architecture, the stack, and the patterns every engineer after you builds on A seat on the core team : you are one of the engineers deciding what the platform becomes, not one implementing someone else’s decisions Engineering problems that are genuinely hard : real-time telemetry at enterprise scale, distributed decisions, and an explainability layer teams trust in production Engineers worth learning from : a deliberately talent-dense team, direct work with the founders, and a bar that pulls everyone up Room to grow and to lead : your ownership widens as the platform does, and the people who lead moves here keep leading them Top-of-market compensation and a meaningful equity package Ready to own the control plane for an autonomous data platform? Hit Apply.

we are seeking a customer-focused Technical Support Engineer to join our Global Technical Support team.
In this role, you will provide technical support to customers, troubleshoot networking and communication solutions, and collaborate with Engineering and Product Management to resolve technical issues efficiently.
You will also deliver professional services and support customers both remotely and on-site.
This is a full-time position with the option of working from home one day a week.
Location: Tel Aviv office Ramat-Hachayal.
Key Responsibilities
Serve as the primary technical contact for assigned customer support cases via phone, email, and web.
Troubleshoot and resolve network configuration issues, equipment faults, and product-related problems.
Analyse customer network environments to identify root causes and recommend effective solutions.
Collaborate with Engineering, Product Management, and Tier-3 Support teams to resolve complex technical issues.
Deliver Professional Services, including product implementation, configuration, technical trainings, technical consulting, etc
Provide on-site installation, troubleshooting, and technical support when required.
Maintain high levels of customer satisfaction by delivering timely, professional, and effective technical support.

Lead verification for advanced ASIC/FPGA designs in a top-tier R&D team developing high-performance network interface solutions and customer-focused hardware.
Location: Tel Aviv office or our Beer Sheva office, which is located next to the train station
Responsibilities:
Drive verification of complex, high-speed ASIC/FPGA designs
Define and implement advanced verification methodologies
Collaborate with architecture, software, and validation teams
Mentor engineers and promote technical excellence
Work with technologies like high-speed interfaces, network processors, and SoCs.

we are looking for a Senior AI Builder to take AI from a "promising demo" to real production systems that customers rely on - and that continue to work well over time. Our R&D group is a team of 12 engineers and one architect, spanning backend to mobile, building the accounting platform businesses actually run on every day.
What you'll do
* Build and ship LLM-powered AI capabilities to production- agentic flows, retrieval over our data, extraction from real-world documents, and more. Solutions need to be accurate, measurable, cost-efficient, and rollback-ready.
* Build and lead the evaluation process - continuously measure the quality of models and solutions, and be able to answer clearly: is the new version actually better than last week's?
* Own whatever it takes to get the solution into production- from AWS Lambda to Vue and PHP. You don't need to be an expert in every technology, but you should be comfortable getting into the code and solving problems wherever the work actually lives.
Why this is a real challenge - and why it's worth it Our customers trust us with their financial data. There's no room for "almost right" when it comes to the answers our systems provide, and we operate in an environment with significant regulatory requirements- including PCI-DSS, GDPR, and Israeli privacy law. The goal is to take AI capabilities, turn them into real products people can trust, and see them reach customers- at a company small enough that your work can ship this quarter, not next year.
Advantages:

* Experience with Databricks/Spark, Vue 3, fintech or another regulated domain, and significant experience with AI-powered development tools and agentic development.

we are looking for a Senior IT Platform Engineer to join our team and help scale our global operations.
You'll own the technical architecture of our SaaS applications, identity platform, and endpoint management strategy, ensuring they work together seamlessly. This is a hands-on engineering role where you'll design scalable solutions, serve as the Tier 2-3 escalation point for complex technical challenges, and help shape how we integrate AI-powered tools into our environment
SaaS & Identity Architecture
Help with the design and evolution of our company's SaaS strategy, ensuring scalable, secure, and seamless management of enterprise applications.
Own the Okta identity platform: SSO/SAML configuration, SCIM provisioning, lifecycle automation, and access governance across 50+ applications.
Define standards, policies, and best practices for application integration, implemented across the broader IT team.
Design, build, and maintain SaaS integrations using APIs, webhooks, and enterprise integration platforms (e.g., Workato) to automate business processes and reduce manual effort.
Continuously evaluate new tools, AI-powered applications, and frameworks to strengthen our SaaS capabilities, including building the integration strategy for each.
Support the integration and governance of AI-powered tools, ensuring secure deployment aligned with IT and Security policies.
Endpoint & Device Management
Administer and optimize Jamf Pro (Macs) and JumpCloud (Windows devices), ensuring compliance, security, and seamless user experience.
Optimize deployment and lifecycle workflows to enable zero-touch onboarding and efficient device management
Partner with IT Specialists to operationalize onboarding, compliance, and device lifecycle processes at scale.
Support audit, reporting, and compliance initiatives by maintaining clear visibility into device health and fleet metrics.
Tier 2-3 Support & Team Collaboration
Serve as the escalation point for complex MDM, identity, and SaaS-related issues, performing root cause analysis and driving resolution.
Collaborate with IT Specialists to support day-to-day IT operations, guiding execution while helping resolve advanced tickets.

We are looking for a proactive and highly organized CX Process Specialist - Engineering to join the CX Delivery team as a Maternity Leave Replacement.
This role is ideal for a CX Operations professional with hands-on experience improving processes, working with CX tools, and partnering with cross-functional teams.
The role sits at the intersection of Customer Experience, Engineering, Product, and Operations. You will help ensure customer issues, bugs, escalations, and operational processes are managed in a structured, scalable, customer-focused, and increasingly proactive way.
This is a hands-on role for someone who enjoys bringing order to complex processes, working with multiple stakeholders, identifying gaps, and using AI and automation to drive improvements from idea through implementation. A key goal will be helping CX and CX Engineering teams move from reacting to issues to identifying and addressing them proactively.
Job responsibilities
Own and coordinate CX-to-Engineering operational processes, including customer escalations, bugs, engineering tasks, and incident-related follow-up.
Manage the flow of escalations through tools such as Zendesk, Slack, and Linear-ensuring requests are correctly documented, prioritized, assigned, tracked, and communicated.
Partner closely with CXE, Engineering, Operations, Product, Support, and other stakeholders to drive timely progress and clear ownership.
Identify process gaps, recurring pain points, and manual work, and design practical improvements that increase efficiency, visibility, consistency, scalability, and proactive support.
Use AI tools, including Cursor, to explore, build, and implement automation and workflow improvements for CX Engineering processes.
Analyze relevant logs and operational data to identify recurring issues, surface insights earlier, and build or improve alerts, signals, and workflows that enable CX Engineers to investigate and act before issues become widespread or are escalated by customers.
Help maintain and improve escalation frameworks, workflows, templates, dashboards, and internal documentation.
Support incident, root-cause analysis, and retrospective processes, ensuring incidents are resolved in a fast and customer-centric way and learnings and preventive actions are captured and followed through.
Provide visibility into trends, volumes, blockers, and outcomes, helping teams make informed prioritization decisions and anticipate emerging risks.

As the Field Deployment Engineering (FDE) Team Lead within the Customer Solutions Architecture (CSA) team, you will lead and develop a team responsible for designing and delivering technical solutions that help customers maximize the value of Bob.
This role combines people management, technical leadership, and hands-on involvement in complex customer solutions. You will set priorities, support the teams performance, professional growth, and career development, maintain high delivery standards, and contribute directly to strategic technical projects.
The role sits at the intersection of customer needs, solution architecture, integrations, and AI-assisted development. You will partner closely with customers, Customer Solutions Architects, Professional Services, Product, and Engineering to ensure solutions are practical, scalable, and aligned with Bobs platform strategy.
The ideal candidate is a strong technical leader with a genuine interest in people management. You may already have formal management experience or have demonstrated leadership through mentoring, technical guidance, project ownership, or supporting the development of others.

Job responsibilities
Design, build, and maintain backend infrastructure and microservices supporting AI-driven features.
Collaborate closely with the infra and data groups to ensure smooth integration of AI models and services into Bobs core systems.
Develop and optimize APIs, data pipelines, and background processing workflows.
Ensure performance, scalability, and resilience of production systems handling real-time AI interactions.
Drive engineering excellence through code reviews, architecture discussions, and automation.
Mentor other backend developers and promote best practices in software design, testing, and deployment.

We are looking for a Senior AI Ops Engineer to join our AIOps team and help build the AI-powered platforms, agents, and workflows that enable engineering teams across our company.
This is a hands-on role for someone who can take AI solutions from idea to production, build the infrastructure around them, and create the observability needed to understand and improve how they behave in the real world.
Job responsibilities
Build and operate production-grade AI agents, AI-enabled tools, and workflows that empower developers and operational teams.
Design agentic systems using frameworks such as LangGraph, LangChain, and Supervisor, including RAG, MCP integrations, tool calling, and guardrails.
Build and evolve an AI SDLC harness that helps teams plan, implement, validate, govern, and safely deliver AI-assisted software changes.
Lead AI observability with Langfuse and OpenTelemetry, including tracing, evaluations, quality measurement, and cost analysis.
Build automated evaluation frameworks, including LLM-as-a-judge, to improve the reliability and quality of AI systems.
Design and maintain the infrastructure, CI/CD pipelines, GitOps workflows, and security controls that support AI services.
Develop internal developer tooling and automation that removes friction across the engineering organization.
Partner with engineering and product teams to turn real operational challenges into scalable AI-powered solutions.

As an AI Engineer at our company, you will own the intelligent decision-making pipelines that turn complex workspace telemetry into autonomous security actions. You will design, build, and deploy the autonomous reasoning workflows and advanced data classification systems that drive our company's preventive operating model. Your focus will be on creating resilient, production-grade AI systems capable of deep policy comprehension, real-time prevention at the point of adoption, and autonomous remediation of existing risks.
This is a ground-floor opportunity to shape the AI strategy of a fast-growing cybersecurity company alongside a lean, elite team of builders.
WHAT YOULL DO
End-to-End Ownership: Own our AI capabilities entirely from initial research, architectural design, and prototyping, through to production deployment, optimization, and continuous monitoring.
Design & Build Agentic Workflows: Architect multi-step AI agents capable of autonomously investigating workspace risks, interpreting complex enterprise policies, and taking precise remediation actions.
Integrate Multi-Faceted ML: Bring innovation and creative thinking to our core engine. Implement diverse ML models across our entire research and product pipeline-utilizing clustering, text extraction, document analysis, and tabular data classification.
Ship Production-Grade AI: Build high-throughput, resilient, and fault-tolerant production code. You will ensure our AI pipelines and agentic workflows are highly predictable, deeply observable, and built to scale under enterprise-grade loads.
Implement Guardrails & Evaluation: Build continuous evaluation frameworks to benchmark agent accuracy, mitigate hallucinations, and enforce strict data security/privacy guardrails.

As the QA Engineer in the company Domains team, you'll own quality end to end for mission-critical products that directly impact our users' ability to get their businesses online - millions of domains managed across our company's global platform. The role is AI-first by design: coding agents and AI tooling are your primary instrument, automation is second, and manual testing is the deliberate third, reserved for where human judgment genuinely wins. In your day-to-day, you will:
Own the quality strategy for our company Domains end to end - what gets tested, how, and to what standard
Build AI-driven testing: use coding agents to generate, maintain and extend coverage across complex product flows at a speed manual QA can't reach
Design and grow automation as the durable backbone of that coverage, across UI, API and integration layers
Plan and execute sharp manual and exploratory testing where it counts - API testing, complex integration testing, and edge cases not covered by our test-driven development methodology
Test flows that unfold over time and reach beyond our company, across many entry points and buying paths
Think like a hacker - understand weak points in solutions and help strengthen them
Influence engineering and product directly - your findings shape architecture, release decisions and what we build next
Coordinate and collaborate on QA projects with many cross-company teams - our product is used all across our company
Set the bar: define what "good" looks like for quality in a fast-paced organization, and raise it.