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Were looking for a Staff Engineer to lead the design and development of central components within R&D.
Youll combine hands-on development with architectural leadership - solving complex engineering challenges, guiding your team through design decisions, and ensuring our systems are robust, scalable, and maintainable.
Youll collaborate with other senior engineers, tech leads, and product partners to define technical direction, drive innovation, and improve engineering practices across the teams and groups.
This is a role for someone who thrives on building well-designed systems, driving technical excellence within the team and mentoring peers.
Responsibilities:
Lead the design and implementation of scalable and reliable backend services.
Drive architectural discussions and make key technical decisions within your domain.
Collaborate with cross-functional teams to translate business and product goals into technical solutions.
Deliver high-quality, maintainable, and testable code while ensuring best practices for security, performance, and reliability.
Mentor and support engineers through design reviews, code reviews, and knowledge sharing.
Continuously improve development processes, observability, and deployment pipelines.
Contribute to the evolution of the platforms architecture as the company and product scale.

Were at a super exciting inflection point. Our product is scaling, our customers are pushing the boundaries of whats possible, and were re-architecting our platform to keep up with that pace.
Were looking for a Full Stack Engineer who wants to build, not just maintain. Someone who gets excited about laying down core infrastructure, shaping technical vision, and shipping real product fast. This is a hands-on role with tons of room to grow and influence the direction of the company.
What Youll Do
Own big pieces of the product: Youll lead core projects that shape how teams experience our company, making complex workflows feel dead simple.
Ship fast and thoughtfully: We care about great engineering and moving quickly. Youll set the tone for both.
Build the foundation: From infrastructure to frontend components, youll help create the building blocks that unlock entirely new use cases for our customers.
Make us scale like magic: As usage explodes, youll make sure our product stays fast, stable, and elegant behind the scenes.
Collaborate deeply: Youll work side-by-side with design, product, and go-to-market teams to bring ambitious ideas to life, and help shape the technical culture as we grow.

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.

We are seeking a hands-on Cloud DevOps Team Leader to lead the design, deployment, and optimization of secure, scalable, and cost-effective cloud infrastructure for a live cybersecurity SaaS product. You will guide a DevOps team, set technical direction, and own cloud infrastructure strategy across AWS, GCP, and Azure, with a strong emphasis on security, cost-efficiency, and production reliability.

Key Responsibilities:
Lead and mentor a team of DevOps engineers across design, automation, deployment, and operations.
Architect and maintain secure, highly available cloud infrastructure (AWS, Azure, GCP).
Design and implement complex cloud networking infrastructure - VPCs, routing, VPNs, load balancers, firewall rules - across multi-cloud and hybrid environments.
Drive Infrastructure as Code adoption (Terraform, Kubernetes, Helm) and CI/CD optimization (Argo CD).
Lead production monitoring, incident response, and troubleshooting practices to ensure system resilience.
Oversee cloud cost optimization strategies while maintaining system performance.
Ensure adherence to cybersecurity, compliance (SOC2, ISO27001), and cloud governance best practices.
Work closely with engineering, product, and security teams to align infrastructure goals with business needs.
Champion continuous improvement through team mentoring, process enhancements, and technical leadership.

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.

Were looking for a Senior Full-Stack Engineer to join our R&D team and help shape the product experience end-to-end. In this role, you will design and build features across our backend services and user-facing applications, collaborating closely with product, design, and other engineering teams. You will balance strong technical execution with ownership, craftsmanship, and a deep understanding of how customers interact with the product.
About the role
Youll design and develop robust backend services that ingest, process, and correlate large-scale security and cloud data.
Youll build intuitive, performant web experiences using modern frontend technologies, helping customers explore complex data with clarity.
Youll collaborate with designers and product managers to translate ideas and workflows into thoughtful, scalable product features.
Youll architect cross-service integrations, data flows, and APIs to support both customer-facing and internal features.
Youll ensure frontend and backend components are secure, resilient, and optimized for high-scale production usage.
Youll participate in design reviews, cross-team technical discussions, and efforts to continuously improve engineering velocity.
As part of a fast-paced startup, youll have a direct impact on product direction and how customers use our company to solve real-world security challenges.

Lead the design, implementation, and management of security controls across three critical domains: Endpoint Security, Identity & Access Management, and AI Security, safeguarding Palo Alto Networks' global infrastructure with a Zero Trust approach.
Key Responsibilities
Design, build and implement enterprise security capabilities to protect Palo Alto Networks global infrastructure
Develop strategies to maintain security architecture, prevent unauthorized access, and ensure identity governance across the enterprise
Establish, maintain, and enforce hardened security baselines for Endpoints, Identity, and AI tools
Lead AI security governance, define controls, policies, and threat models for safe enterprise adoption of AI tools and models
Evaluate and secure AI-related data flows, including prompt injection risks, model access controls, and data exfiltration vectors
Implement and manage Identity Security, Endpoint security, and Access Management capabilities with a Zero Trust approach
Design and enforce endpoint hardening strategies across managed and unmanaged devices, endpoint DLP controls, drive mobile security and BYOD posture management
Be the first customer for Palo Alto Networks products and provide practitioner feedback to the product teams
Perform threat modeling and security architecture reviews for complex enterprise systems, infrastructure, and third-party integrations
Work with Security Operations team to investigate identity and endpoint breach incidents, identify root cause and provide appropriate remediation or risk reduction plans
Collaborate with legal and governance, risk and compliance (GRC) teams to ensure adherence to Identity and data protection regulations
Evaluate ongoing practices and procedures, technical documentation, and diagrams for appropriate security measure maturity and effectiveness
Lead hands-on POCs and technology evaluations with rigorous benchmarks; champion adoption with a collaborative team mindset
Be a strong thought leader and clearly communicate and build support for your ideas.

Alice’s Innovation team builds adversarial RL environments that train the world’s most advanced AI models to be safer. Our customers are the leading frontier AI labs, who use these environments for post-training reinforcement learning and safety evaluation. This is the bleeding edge of AI safety technology: the environments you build will directly shape how next-generation models learn to resist adversarial attacks. We’re looking for an AI Software Engineer to own the RL Gym platform end-to-end: from architecting multi-site web environments that simulate real-world attack surfaces, to optimizing our in-house orchestration harness (AgenticVerse) for high-performance delivery into customer training pipelines. This is a builder role. You’ll lead a small team (including a dedicated web environments engineer), operating with high autonomy, moving fast from concept to working prototype to production system. You’ll interact directly with customer engineering teams to understand their infrastructure constraints and deliver environments that meet their scale and reliability requirements. Why this role This is one of the few roles in the industry where your code directly influences how the next generation of AI models are trained. You’ll be at the center of advancing AI safety, building systems that the world’s top labs depend on to make their models more robust. The work is technically deep, the problem space is genuinely novel, and the field is moving faster than any team can keep up with alone. There’s no playbook. You’ll write it. What you’ll do: Platform & performance
* Own and evolve AgenticVerse, our in-house orchestration harness that provisions and manages RL environments at scale. Focus on performance: low-latency provisioning, high concurrency, minimal overhead per environment instance
* Design and build isolated, reproducible web environments using Firecracker microVMs or Docker containers
* Architect multi-site scenarios (3-4 interconnected web applications per task) with rich interactions: drag-and-drop, file uploads, authentication flows, LLM-in-the-loop components
* Implement deterministic verifiers that evaluate agent behavior with zero ambiguity Customer delivery
* Work directly with engineering teams at leading AI labs to integrate RL Gym environments into their training and evaluation pipelines
* Translate customer specs into working environments, iterating rapidly on feedback
* Own the technical relationship: SLAs, API contracts, integration architecture
* Adapt environment delivery formats to cus tomer infrastructure (real-time API calls vs. offline batch, managed vs. raw artifacts)
* Build customer-facing UIs when needed (dashboards, environment configuration portals, monitoring interfaces) Rapid prototyping
* Take ambiguous problem descriptions and produce working prototypes within days, not weeks
* Validate new environment types, interaction patterns, and verifier approaches quickly
* Build internal tooling that accelerates scenario authoring and testing

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Were looking for a Platform Engineer to join our Engineering Platform team and help build, automate, and maintain the infrastructure that supports our products and engineering teams. This is an excellent opportunity to work with modern cloud technologies, learn from experienced engineers, and contribute to the tools and platforms used across the company.
In this role, youll help architect our cloud platform, unify CI/CD and Infrastructure as Code, and accelerate developer autonomy across the company. Youll work closely with the Engineering Platform team to build the backbone of our future engineering ecosystem.
Responsibilities:
Cloud & Infrastructure: Help maintain and improve our AWS environment while supporting scalable, reliable cloud infrastructure.
Infrastructure as Code: Develop and maintain Terraform modules, reusable infrastructure, and automation.
CI/CD & Developer Experience: Build and maintain CI/CD pipelines, improve automation, and support developer productivity.
Monitoring & Reliability: Help monitor production systems, improve observability, and contribute to operational excellence.
Collaboration: Work closely with software engineers, participate in code reviews, and continuously learn new technologies.

Were looking for an AI Software Engineer to own the RL Gym platform end-to-end: from architecting multi-site web environments that simulate real-world attack surfaces, to optimizing our in-house orchestration harness (AgenticVerse) for high-performance delivery into customer training pipelines.
This is a builder role. Youll lead a small team (including a dedicated web environments engineer), operating with high autonomy, moving fast from concept to working prototype to production system. Youll interact directly with customer engineering teams to understand their infrastructure constraints and deliver environments that meet their scale and reliability requirements.
Why this role
This is one of the few roles in the industry where your code directly influences how the next generation of AI models are trained. Youll be at the center of advancing AI safety, building systems that the worlds top labs depend on to make their models more robust. The work is technically deep, the problem space is genuinely novel, and the field is moving faster than any team can keep up with alone. Theres no playbook. Youll write it.
What youll do:
Platform & performance
Own and evolve AgenticVerse, our in-house orchestration harness that provisions and manages RL environments at scale. Focus on performance: low-latency provisioning, high concurrency, minimal overhead per environment instance
Design and build isolated, reproducible web environments using Firecracker microVMs or Docker containers
Architect multi-site scenarios (3-4 interconnected web applications per task) with rich interactions: drag-and-drop, file uploads, authentication flows, LLM-in-the-loop components
Implement deterministic verifiers that evaluate agent behavior with zero ambiguity
Customer delivery
Work directly with engineering teams at leading AI labs to integrate RL Gym environments into their training and evaluation pipelines
Translate customer specs into working environments, iterating rapidly on feedback
Own the technical relationship: SLAs, API contracts, integration architecture
Adapt environment delivery formats to cus tomer infrastructure (real-time API calls vs. offline batch, managed vs. raw artifacts)
Build customer-facing UIs when needed (dashboards, environment configuration portals, monitoring interfaces)
Rapid prototyping
Take ambiguous problem descriptions and produce working prototypes within days, not weeks
Validate new environment types, interaction patterns, and verifier approaches quickly
Build internal tooling that accelerates scenario authoring and testing.

our company is a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc.). The company offers an award-winning disruptive solution; a sensor free approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art Machine Learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly. We are now hiring a talented, self-driven, and passionate Senior DevOps to build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting.
What Youll Do:
* Lead the design and architecture of cloud-based data solutions, ensuring scalability, reliability, and performance.
* Design and build data pipelines for field data collection, analysis, and inference using industry production-grade technologies and tools.
* Design and build customer cloud / on-premise data solutions for Storage, lookup, and processing flows.
* Study and incorporate standards for data governance, security, and compliance.
* Provide online and Real-Time monitoring and analysis of data systems health, accuracy, and costs.
* Plan and execute integrations with our edge computing solutions and AI models for both research and production flows.

We are looking for a Senior Software Engineer to join our small, core, professional development team in Tel Aviv. You will work closely with our CTO to create new software products that leverage our high-performance computational engine while modernizing our technical architecture.
This role is for an engineer who enjoys high-level systems work - taking our proven underlying tech and building the next generation of features and products on top of it. You will have a direct hand in shaping the architecture and integrating modern workflows into our ecosystem.
What you will do:
Product Creation: Lead the development of new, innovative software products, utilizing our robust computational foundation as a starting point for advanced capabilities.
Modern Architecture: Design and implement architectural improvements that allow us to integrate new features and AI-driven workflows efficiently.
Bridge the Stack: Interface our established, high-performance computational core with modern application layers and APIs.
Systems Design: Solve complex technical challenges by applying a systems-first mindset, ensuring our software remains clean, modular, and scalable.
High-Level Collaboration: Partner with our CTO and a small team of senior engineers to define our technical roadmap and uphold high standards of code quality.

we are looking for a MLOps Team Lead.
As an MLOps Team Leader , you will own our AI infrastructure and backend engineering efforts, leading a team at the intersection of systems design and machine learning to build the engineering systems that turn Deep Learning and Computer Vision research into reliable, scalable production features.
What Youll Be Doing:
Lead MLOps Engineering: Own the roadmap and execution for a team of backend and AI infrastructure/MLOps engineers, setting technical direction, removing blockers, and holding the bar on delivery quality.
Build Production AI Systems: Design and implement production-grade, end-to-end AI solutions, including agentic workflows, that integrate Deep Learning models and Computer Vision algorithms into real features. Own the offline experimentation and validation layer, including POC environments that let the Algo team move from research to production confidently.
Architect Data Platforms: Drive the design and implementation of scalable data platforms and pipelines that power AI capabilities reliably and with an eye on cost and scale.
Cross-functional Collaboration: Work closely with the Algorithms and Data teams to tackle complex, real-world problems, translating research into shippable, maintainable systems.
Elevate Engineering Standards: Champion Software Engineering and System Design best practices across the group, introducing the right methodologies, tooling, and culture of craft.
Who You Are:

We are seeking an experienced, people oriented Engineering Manager to lead our high-performing Identity Directory Service and User Management engineering team. In this role, you will balance technical leadership, people development, and operational execution to deliver secure, scalable, and resilient SaaS cloud services.
Working in close partnership with Product Management, Security Architects, and cross-functional engineering leaders, you will foster a culture of continuous delivery, technical excellence, and innovation. You will empower a team of talented engineers, remove roadblocks, and ensure our systems satisfy demanding global scale, high throughput, and Non-Functional Requirements (NFRs).
Your Impact
Execution & Product Delivery: Drive agile engineering practices to deliver high-quality, production-ready features on schedule while maintaining a strong balance between feature delivery, platform health, and technical debt.
Technical & Architectural Oversight: Partner with domain experts to guide architectural decisions, review designs, leveraging no-code, low-code, and AI-based solutions.
Operational Excellence: Maintain high standards for service reliability, production health, automated testing (CI/CD), and incident response.
People Leadership & Growth: Mentor, coach, and grow a high-performing team of software engineers; conduct 1:1s, support career development, and foster an inclusive, high-trust engineering culture.
Cross-Functional Collaboration: Align team goals with Product Managers, Security Architects, and global stakeholders to translate business strategy into clear technical execution plans.

We are looking for a Senior Staff Software Engineer to join our elite team building a new SaaS product. You will use AWS serverless architecture, AWS CDK, and Python to design, develop, test, and deploy services. This role involves practicing the full software development lifecycle in an agile environment, collaborating with cross-functional teams, and exploring new technologies.
Your Impact:
Design, develop, test, secure, and deploy services from planning to production using AWS serverless architecture, AWS CDK, and Python.
Practice the full software development life cycle within an agile-oriented environment.
Lead the design, development, and delivery of features in a complex SaaS application.
Participate in continuous and iterative engineering cycles with an emphasis on code quality, supportability, scalability, and performance.
Collaborate closely with security architects, product managers, and other development teams.
Explore, evaluate, and implement new technologies and tools to ensure we are using cutting-edge solutions.
Champion high-quality code design and participate actively in code reviews to optimize and challenge the status quo.