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the company was founded by the team that invented one of the technologies at the heart of 5g. their next vision was to develop an iot sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnect from the iot. this revolutionary mixture of cloud and semiconductor technology is being used by some of the worlds largest consumer, retail, food and pharmaceutical companies to change the way we make, distribute, sell, use and recycle products.
our investors include softbank, amazon, alibaba, verizon, ntt docomo, qualcomm and pepsico.
we are looking for a talented and experienced engineer to take part in the verification efforts for the companys core product. this position involves building and maintaining a complex verification environment, and defining and executing a TEST plan. in this role, you will be leading all aspects of verification and will have a critical impact on the company's r&d path.
responsibilities:
define and implement robust sv/uvm verification solutions, including TEST benches and methodologies, to drive efficient verification closure across block-level and full-chip designs, integrating mix-signals SOC simulation environment using verilog, matlab, hw/sw co-simulation and lab integration.
work closely with digital design, analog design, software, back-end, sw and system teams to understand the functional, power and performance goals of the product and ensure its quality.

We are looking for a Nitro System Manufacturing Integration Lead Engineer to be part of defining, shaping, and implementing manufacturing flows, test definitions, and card-to-server integration processes for Nitro-based platforms. This includes to be part of the manufacturing flow architecture, production test strategy, process stabilization, and yield optimization bridging system design intent with high-volume manufacturing execution.

Key job responsibilities
As a System Manufacturing Integration Lead Engineer, in the Nitro team, you will own the end-to-end manufacturing flows for accelerator card-to-server integration across manufacturing partner facilities driving the process from initial definition through stabilization into a scalable, high-yield mass production operation.

Key responsibilities include:
- Architect manufacturing flows - be part of the complete card-to-server integration sequence, including every process step, quality gate, and decision point from sub-assembly through system integration and tests.
- Define test strategy - be part of determining what to test, when, and at which station, covering card-level functional tests, post-integration validation, firmware provisioning, and first power-up diagnostics.
- Establish classification criteria - be part of determining pass/fail thresholds and test exit gates to maximize yield and minimize material waste.
- Drive process stabilization - work directly and on-site with manufacturing partners to implement, debug, and iterate on manufacturing flows from early builds through a locked, repeatable production process.
- Design alternative flows - develop parallel manufacturing paths to address real-world constraints such as component availability gaps, deferred card integration, and hub-based assembly models.
- Own process documentation & KPIs - maintain manufacturing flow baselines, drive process change control, and track yield, first-pass rate, cycle time, and defect Pareto.
- Lead cross-functional coordination - serve as the single point of ownership across hardware engineering, firmware, test/vetting, thermal, mechanical, and operations teams for Nitro-based accelerator servers built at scale.

We are looking for a versatile Senior Software R&D Engineer and a dedicated team member to join our multidisciplinary group. This role places a heavy emphasis on hardware bring-up, low-level software development, and collaborative engineering. You will be a core player in a tight-knit team, moving seamlessly between different phases of system creation-from architecting board support packages (BSPs) and troubleshooting new hardware boards to designing high-performance application features.
Location: Ramat Hachayal, Tel Aviv. Hybrid option once a week.
Responsibilities:
Active Team Member: Collaborate daily within a diverse R&D team. Brainstorm solutions, conduct peer code reviews, and share knowledge to elevate the teams capabilities.
Hardware Bring-up & BSP: Lead the software-side bring-up of next-generation hardware. Design, develop, and debug Board Support Packages (BSPs) to seamlessly bridge the hardware-software boundary.
HW/SW Integration: Partner closely with hardware engineers to diagnose system-level bottlenecks, read schematics, and ensure optimal hardware performance.
Real-Time Feature Implementation: Design and develop high-performance software features and real-time application layers for our flagship product.
Product Implementation Design: Translate complex product requirements into scalable, highly reliable software designs and system architecture.

As a Staff Software Engineer, you will serve as a technical authority and play a pivotal role in scaling our core platform. Your focus will span architecture, security research, and engineering excellence:

Lead & Architect: Design, build, and scale high-performance software while driving architectural best practices across the R&D organization.
Security & AI Innovation: Drive deep-dive research into cloud, SaaS ecosystems, and AI agents to build proactive detection models, mitigation strategies, and threat intelligence.
Engineering Excellence: Elevate code quality, testing standards, system monitoring, and documentation across teams.
Cross-Functional Ownership: Partner closely with Product and R&D to translate complex security requirements into scalable technical solutions.
Scale & Optimize: Identify and resolve systemic performance bottlenecks and architectural challenges.
Mentorship & Leadership: Act as a technical mentor, driving engineering standards and fostering a strong knowledge-sharing culture.

We're looking for an AI Engineer to design and own the agentic infrastructure that spans the entire company
What You'll Do:
Architect and ship agentic capabilities as production-grade product features - owning the full tradeoff space across reliability, observability, security, latency, deterministic behavior and cost.
Design and build AI agents that operate across identity graph, automating complex identity related workflows.
Evaluate and integrate emerging LLMs, agent frameworks, and agent infrastructure, making principled build-vs-integrate decisions grounded in production requirements.
Partner with R&D and product leadership to identify where agentic automation delivers the highest leverage across the product.

We're looking for a Tech Lead who is more than a great data engineer - someone who brings equal depth in backend software engineering and broad fluency across data technologies, databases, and large-scale distributed systems. You'll own the architecture and hands-on development of our data platform while driving engineering excellence across the team.
Key Responsibilities
Architect and evolve our Data Warehouse, Data Lake, and ETL/ELT pipelines across multiple products and business domains
Design and build enterprise-grade backend services and APIs that expose data platform capabilities at scale
Own technical decisions on scalability, reliability, observability, and data quality
Lead cross-functional initiatives with R&D, product, analysts, and business stakeholders
Mentor data engineers and developers through design reviews, technical leadership, and engineering best practices
Drive adoption of modern data technologies, AI-first practices, and automation.

Great IT and security work means nobody notices the bugs because you already squashed them. From cloud engineers to IT operations managers, our team combines technical expertise with a deep respect for what's at stake. So if you're proactive and precise under pressure, the Fiverr Cyber, IT and MIS team might be the right place for you. We are looking for a IT Tech Lead Engineer to own and evolve our modern, cloud-first workplace infrastructure. This role is highly SaaS-active , focusing heavily on identity lifecycle automation and automated endpoint management. You pair deep infrastructure skills with an AI-forward mindset , actively leveraging AI tools to automate operations, optimize internal workflows, and secure our fully digital environment.

What am I going to do?:
Identity & Access Management: Own Okta as our primary IdP. Architect and automate complex identity lifecycles, directory integrations, and context-aware adaptive MFA policies. Endpoint Management (MDM): Design and manage our enterprise Apple ecosystem using Jamf Pro . Optimize zero-touch deployment (Apple Business Manager), patch management, and security configurations. SaaS & Cloud Operations: Act as the primary administrator for our core SaaS stack. Integrate systems via APIs, webhooks, and automated workflows. AI Integration & Automation: Implement AI-driven operations (AIOps) for smart monitoring, predictive analytics, and low-code/no-code automated IT support workflows. Security & Compliance: Lead the technical execution of security roadmaps, actively driving initiatives to meet and exceed annual compliance targets. Partner with security to enforce zero-trust architecture, manage vulnerability patching, and pull automated evidence for compliance audits (SOC2/ISO 27001).

Equal opportunities:
At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace, from our community to our product. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

We are looking for an experienced Senior Product Fullstack Developer who wants to redefine how software is built.
In this role, AI coding is at our heart. We don't just use AI for autocomplete; we build with agentic coding frameworks to radically accelerate our feature delivery. You will tackle a wide array of high-scale challenges, from responsive UI/UX to robust backend services, ensuring our platform remains fun, fast, and resilient for over 1 million daily active users (DAUs).

Responsebillities
Holistic Product Group Impact: You will join a cross-functional product group (with peers from Sales, CS, Support, Data, and Marketing). Together, you will understand customer needs, define the roadmap, and execute weekly sprints.
Constant Delivery & Scale: You are responsible for pushing your product forward from a technical perspective. You will architect, code, and deploy features to production at a massive scale.
AI-First Engineering: You will lead by example in leveraging advanced AI prompting and agentic workflows to automate boilerplate, optimize debugging, and multiply your team's delivery velocity.

The Software Engineer - Cloud will join a foundational and growing cloud team with meaningful ownership over critical platform areas. You will help build the software systems behind a hybrid edge-cloud architecture powering real-time video streaming, recording, and AI processing at global scale. This role sits within the team led by the Head of Cloud, which owns a broad software domain across cloud, mobile, web applications, and related clients.
Youll work on a distributed backend ecosystem that connects edge devices with cloud services and customer-facing applications, with a strong focus on performance, reliability, and low-latency user experiences. This is a strong fit for an engineer who enjoys meaningful ownership, thrives in a fast-moving startup environment, and is comfortable contributing to systems that support customers worldwide. You will have a chance to work alongside teammates across the U.S., Israel, and Europe, contributing to a platform with broad impact and increasing customer demand.
Location & Travel
Hybrid Schedule:
Two days a week working from home.
Ramat Gan office, located just outside Tel Aviv and close to the train station.
Includes biweekly travel to our Caesarea office.
Responsibilities
Build and evolve the core cloud platform that supports real-time video streaming, recording, and AI processing across a global customer base.
Design, develop, and maintain distributed backend services that connect edge infrastructure with cloud systems and customer-facing products.
Develop and support data pipelines for both real-time and batch processing of video and AI-related workloads.
Work on systems responsible for ingestion, storage, retrieval, and secure handling of large-scale video data in a multi-tenant environment.
Architecting multi-tenant, highly available systems across regions in a cloud environment
Collaborate closely with Edge engineers and adjacent teams to enable seamless integration across the broader platform.
Use cloud provider services and SDKs as part of day-to-day development, including work across core cloud capabilities rather than a single isolated service.
Contribute to backend development in JavaScript/Node.js and, depending on background and team fit, potentially support growing work in Go as part of the cloud stack.
Participating in code reviews, debugging, and optimizing performance across distributed systems
Help support a production environment where reliability matters, including situations that may require responsiveness outside standard hours when cloud issues have broad impact.
Our infrastructure is powered by Google Cloud.
Other duties may be assigned.

We are looking for a Staff Algorithm Engineer to join our core Algorithm team
What You'll Do



Research and implement novel computer vision and algorithmic solutions for challenging real-world problems - spanning perception, learning, optimization, and graph-based reasoning.
Own algorithm quality end-to-end: design experiments, evaluate results, and drive iterations until production reliability targets are met.
Work across disciplines - sharing models, methods, and insights with algorithm, data engineering, and product teams.
Monitor production model health proactively; identify degradation early and lead remediation efforts.
Integrate AI tools into your workflow and grow into the role of architect and team lead - designing the solution, then directing agents to build it.
Raise the bar on the team's technical culture through code reviews, knowledge-sharing, and rigorous algorithmic thinking.

We are searching for a Team Manager to lead Cross-Platform Agents Infrastructure team in an agile-oriented environment. leading the journey to design, develop and innovate our EPM Agents.
The responsibilities will include:
Producing valuable and qualitative deliverables for our customers in a timely fashion
Providing technical authority to your team by demonstrating a hands-on leadership style
Hiring, mentoring and driving the professional growth of the team members
Overseeing the overall development, code quality, and production of the team
Permanent strive to keep the code up-to-date and at the highest quality, innovation and security levels
Working hand-in-hand with architects, product owners, and other teams to build robust solutions.

We seeking a Senior Python Software Engineer to join our high-impact Risk Team. The Risk Team sits at the heart of our decisioning engines, powering every product through a state-of-the-art fusion of predictive machine learning models and real-time market strategies.

In this role, you will lead backend development for new financial products, working closely with ML Engineers to build robust, fault-tolerant infrastructure that supports complex predictive models. You will design and scale high-volume, low-latency systems that execute critical financial decisions in milliseconds. We are looking for an engineer who understands end-to-end software architecture and possesses the business acumen to transform strategic goals into engineering reality.

Key Responsibilities
Architect & Build: Design and implement resilient, low-latency backend solutions capable of handling high-throughput, high-availability demands.
Solve Complex Systems Challenges: Tackle intricate architectural problems by applying deep expertise in distributed systems and performance optimization.
Cross-Functional Collaboration: Partner closely with ML engineers, product managers, and data scientists to operationalize decisioning logic smoothly.
Maintain & Scale Infrastructure: Safeguard system health, ensure continuous operational stability, and optimize runtime performance.
Drive Technical Excellence: Advocate for clean code, solid design patterns, robust testing, and maintainable software architecture.
Mentor & Empower: Elevate the engineering team by mentoring junior developers, leading technical discussions, and fostering a culture of continuous learning.

Required Senior Software Engineer (Secure Agentic AI - Be'er Sheva)
Job Summary:
Were building foundational infrastructure to secure AI agents - including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to the modern agent ecosystem.
Youll help define how agents (both machine and human-facing) authenticate, obtain scoped access, perform actions securely, and leave a verifiable audit trail.
This is a unique opportunity to be part of a start-up inside the company - building the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.
Responsibilities:
Own the design and development of secure, scalable services that enable AI agents to manage their identities, secrets, and access - directly protecting critical systems and data.
Take charge of agent authentication flows and real-time access policies, ensuring seamless, reliable just-in-time, least-privilege access.
Lead the evolution of MCPs and agentic AI, transforming innovative ideas into systems that define how intelligent agents operate at scale.
Collaborate with architects and engineers to shape and deliver high-performance platform components you can take pride in.
Write clean, maintainable, and scalable code that powers some of the worlds largest and most security-conscious companies.
Drive cross-functional efforts with platform, AI, and security teams to gather requirements, influence design decisions, and bring impactful solutions to life.

We're looking for a Senior DevOps Engineer with a strong Developer Experience (DevEx) mindset, someone who genuinely enjoys making developers more productive by building and improving the tools, infrastructure, automation, and workflows they use every day.
You will work across CI/CD, developer tooling, automation, infrastructure, observability and productivity. Your primary focus will be making development and delivery faster, simpler, more reliable, and more cost-effective.
We need someone who can independently identify developer pain points, proactively discover opportunities for improvement, and turn them into scalable engineering solutions. You will be expected to measure the impact of your work and continuously improve critical metrics such as CI feedback time, pipeline reliability, deployment time, infrastructure cost, and overall developer productivity.
This role is a perfect fit for someone who thinks far beyond just "keeping the infrastructure running" and is excited about revolutionizing the entire engineering experience.
Your Impact:
You will tackle high-impact engineering challenges across our platform. Representative areas you will own and work on include:
Optimize CI/CD Pipeline Velocity & Stability:
Improve CI Stability: Leverage AI to automatically detect recurring test failures, dynamically disable problematic tests, and open Jira tickets for follow-up.
Automate Workflows: Utilize AI to automate merge conflict resolutions and keep the merge train moving smoothly.
Accelerate CI Velocity: Architect workflows to parallelize work both across jobs and within jobs. Introduce highly effective caching strategies and local Artifactory mirrors to drastically reduce build and dependency-fetch times.
Optimize CD: Reduce container image sizes and accelerate deployment times. Partner with QA to introduce and streamline automated regression testing against tenants.
Drive Repository Security & Maintenance:
Improve Security Posture: Automate the identification and remediation of Go and Python dependencies with known CVEs.
Automate Maintenance: Design systems to automatically handle Go and Python version upgrades across the codebase.
Ensure Performance: Automate performance testing to proactively detect and alert on performance regressions before they hit production.
Cloud Infrastructure & Cost Engineering:
Reduce Infrastructure Costs: Identify and implement innovative opportunities to reduce overall infrastructure and resource consumption.
Resource Efficiency: Introduce mechanisms to make our "slim tenants" even more resource-efficient for development and testing.
Smart Observability: Re-architect our logging strategy by streaming GCP logs to more cost-effective sinks instead of relying exclusively on Cloud Logging.
IaC Governance: Act as a gatekeeper for infrastructure quality by reviewing Terraform Merge Requests (MRs) for correctness, efficiency, maintainability, and strict adherence to engineering standards.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 5 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.