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We are looking for an Analytics Engineer (contract) to join Artifactory Product Analytics and build the data platform behind how we measure our products. You will own the engineering side of analytics: designing product telemetry with PMs and R&D, modeling that data into trusted, reusable datasets in the warehouse, and making those datasets easy for analysts and stakeholders to consume. Product analysts own the product questions and metric definitions; you make the data underneath them fast, consistent, and dependable.
You will work inside an AI-native analytics environment (Cursor, Claude, and similar coding agents) as the default way of shipping - not as an optional add-on.
Fixed-term contract: 6-8 months. Start date: October 12, 2026.
Responsibilities:
Design telemetry: partner with PMs and R&D to define event and data specs for product usage - schemas, properties, validation, and the path into the warehouse (core, ongoing part of the role)
Build the modeled layer: develop and maintain dbt transformation models (staging → intermediate → gold) so Artifactory product data is consistent, tested, documented, and reusable
Enable self-serve: with the analysts, design and implement how stakeholders reach certified product data so recurring questions don't need a custom pull
Align definitions: standardize entities, grain, and model structure across Artifactory areas together with the analysts who own product meaning
Ship in an AI-native workflow: specs, SQL, dbt models, reviews, and documentation done in Cursor / Claude and equivalent tools.

This role sits at the intersection of AI and high-performance systems engineering, focused on solving real-world problems under strict constraints. You will work on systems where performance and reliability are critical and where improvements have a direct, measurable impact on real-world safety.

This is a senior, systems-focused role with end-to-end ownership over performance and reliability of production computer vision pipelines. You will define optimization strategies, identify bottlenecks across the system, and drive improvements under real-world constraints.

What youll do
Build and optimize real-time computer vision pipelines running on edge systems processing live maritime video streams (e.g, NVIDIA Jetson, Triton Inference Server).
Take models from research and turn them into production-ready, reliable components deployed on vessels.
Profile and improve end-to-end system performance across: multi-camera video ingestion; preprocessing; inference; postprocessing.
Identify and resolve bottlenecks across CPU, GPU, memory, and pipeline coordination.
Make and justify tradeoffs between latency, accuracy, stability, and resource utilization.
Design and implement robust data and inference pipelines (video -> model -> actionable output for crew).
Develop benchmarking and evaluation workflows to measure performance end-to-end and support release gating.
Build and improve observability tools, including logging, monitoring, and debugging workflows for production systems.
Define and maintain clear interfaces between research code and production systems.
Work closely with research and backend teams to integrate new models into production systems.
Continuously improve system efficiency and reliability under hardware and runtime constraints.

We are hiring a Senior Robotics Software Engineer to build the system the autonomy runs inside. You own the runtime - ROS2 architecture, module lifecycle, orchestration, state management, configuration, fault handling, and both ends of the stack: World Model ingestion and the Vehicle Interface down to the platform control systems.

You will face hard real-time constraints, embedded compute, and a system that has to keep behaving correctly when parts of it do not. You own the stack across its full depth, from the interfaces at its edges to how the whole thing behaves in the water.

What Will You Do?
Own the autonomy runtime: ROS2 and modern C++ architecture, module lifecycle, orchestration, state management, data flow, configuration, fault handling and recovery
Implement the system's two contracts: World Model ingestion and Vehicle Interface adapters to the platform control systems
Own deployment to the vessel compute: builds, packaging, versioning, configuration management and CI
Work with system engineering and field teams on vessel bring-up, sea trials and debugging in the field
Build logging, recording, replay and observability - the ability to take any run at sea and reproduce it exactly on a desk
Integrate and operate the simulation environment (SIL)
Own reliability, timing and performance of the stack on embedded hardware

We are hiring a Principal Autonomy Engineer to architect and lead the autonomous navigation stack of our unmanned surface vessel. You will own the architecture end to end - World Model, planning, decision making, vehicle interface, and you will decide how the brain itself is built: module decomposition, behavior architecture, arbitration, state ownership, and the core technology choices behind them. You will define technical requirements and reference scenarios, own the safety and degradation architecture, and hold the interfaces between autonomy, perception, the vessel platform and the field teams.

This is not an architecture role away from the code, but it is a leadership role. You will set the technical direction of the group and you will write the parts that matter most yourself - hands on principal.

What Will You Do?
Own the end-to-end architecture of the autonomous navigation stack: World Model - Planning - Decision Making - Vehicle Interface.
Define and own the World Model Contract: representation, uncertainty, timing and synchronization, coordinate frames, confidence and degradation modes.
Define and own the Vehicle Interface Contract: command semantics, platform guarantees, latency and failure behavior, and the abstraction that keeps the stack portable across platforms.
Decide how the autonomy brain is structured - module decomposition, behavior architecture, arbitration between behaviors, state ownership, data flow.
Design the safety and fail-safe architecture: degradation ladder, safe-state transitions, operator intervention, fault containment.
Stay hands-on in planning and decision-making code where the hardest problems are.
Lead technical hiring and technical direction for the autonomy group as it grows.

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.

You'll report to your Team Lead, based in Tel Aviv on a hybrid model.

You'll own the features, speed, and quality of your own work - the pipeline moving data through Sedric at scale. You're not just shipping code; you're setting the bar for what excellent looks like on the team.

Design and build backend features on the Core pipeline that handle Sedric's growing data load.
Write code that scales - because what works at today's volume has to hold at tomorrow's.
Review your teammates' code with a real opinion.
Collaborate across the team to unblock others.
Own the full lifecycle of what you ship - from design through production.
Bring urgency to problems that matter - you dont push to tomorrow what can be solved today.
Help shape technical decisions on infrastructure, from cloud architecture to data systems.

we are looking for a Engineering Team Leader.
As our Engineering Team Lead, you will drive engineering processes to produce a roadmap focusing on quality and time to market. You will work closely with our leadership, product, and clinical team while developing new features from scratch. This is a unique opportunity to join a startup with a real impact on thousands' well-being and mental health, applying cutting-edge technology to solve a meaningful human problem with enormous financial and psychological implications.

We are looking for a Senior Backend Engineer to join a high-impact, multi-disciplinary team building a customer-facing product trusted by health industry specialists. This team is solving complex technical challenges with a modern stack to power core growth engine.
In this role you will collaborate closely with other R&D, Product, and Data teams.
What Youll Do :
Architect & Build: Design and construct high-performance, production-grade backend systems and applicative services built for reliability and maintainability.
Own E2E Lifecycle: Take complete end-to-end ownership of backend features from concept to production- including architectural design, testing, shipping, and active monitoring.
Cross-Domain Collaboration: Partner closely with Product Managers, Data Scientists, and R&D teams to translate complex data pipelines and product needs into scalable technical solutions.
Elevate Engineering Standards: Participate in rigorous code reviews, establish architectural best practices, and help mentor team members across the organization.

We are looking for a passionate Software Developer to join one of our most exciting and innovative products in the world of Security Automation and AI - Playblocks.
This is an amazing opportunity to be part of a cutting-edge cloud platform that helps customers automate, orchestrate, and secure their environments - and to help shape it from its early stages.
Youll join a leading team developing both the backend and frontend of a state-of-the-art SaaS application, working in an agile, fast-paced environment and collaborating closely with product, design, and data teams.
If youre passionate about technology, eager to innovate in the AI and automation space, and love turning ideas into impact - wed love to have you on board!
Key Responsibilities
End-to-end backend and frontend development of a new cloud product in the field of Security Automation and AI.
Lead all stages of the development cycle - from requirements to production - while developing multi-tenant, high-scale, efficient, and secure code.
Be part of a growing, leading team working with state-of-the-art cloud and web technologies, including microservices architecture.
Collaborate closely with cross-functional teams and customers to solve complex problems and innovate new features.
Propose solutions for complex technical challenges.

At our company, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation.
Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen.
This is where innovation meets real-world impact. Youll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.
Were proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture.
What really sets our company apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely.
If youre excited to work at the forefront of AI-driven security on a global scale, this is the place to do it.
Key Responsibilities
The Cloud Firewall Security Private Cloud & Licensing team is responsible for private cloud network security products, licensing solutions as well as the internal Infrastructure process. In this role, you will be part of a software development team that designs & develops future Enterprise Network Security solutions for private clouds such as Broadcom(VMware), Nutanix, and others. You will create in various programming languages and will be exposed to multiple different technologies in the Cloud networking sphere.
Major Responsibilities
Develop and innovate products that transform the field of Software-Defined Data Center (SDDC) security and hybrid cloud.
Engage in exciting collaborations with both public and private cloud providers like VMware NSX, Cisco ACI, Nutanix, AWS, Azure, and more.
Develop and enhance existing Cloud Firewall licensing solutions.
Design, gather requirements, implement, and expand our architectural components - Work closely with other developers, QA engineers, various organizational functions, and customers.
Develop and sustain internal Infrastructure - Handling CI/CD pipelines, Terraform, and other Infrastructure as Code (IaC) tools.
Integrate and apply AI technologies to enhance product functionalities and performance.
Offer customers RnD technical support and participate in training sessions.

At our company, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation.
Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen.
This is where innovation meets real-world impact. Youll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.
Were proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture.
What really sets our company apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely.
If youre excited to work at the forefront of AI-driven security on a global scale, this is the place to do it.
This is a temporary position for 6 months.
Key Responsibilities
Bachelor's degree in business, finance, or related field.
Up to 2 to 3 years experience as a proposal manager, Operation Analyst business analyst, or similar position. Experience supporting a Sales organization is an advantage.
Ability to work independently in a fast-paced environment and manage projects from start to end
Monitor and track pipeline, discounts, margins, and special prices for strategic deals and OEMs
Excellent written and oral communication and interpersonal skills
Experience working with Excel and MS Office.

We are looking for a talented and experienced Full Stack Developer to join our Data Loss Prevention (DLP) Next Cloud service team.
In this role, you will be part of a dynamic team that designs, develops, and deploys our companys next-generation DLP cloud services.
This platform is integral to our suite of security products, including Network Security, Email Security, SASE, Endpoint, SaaS, and Cloud Security.
In today's AI-driven world, data is an invaluable asset, and safeguarding it is paramount.
This role offers a unique opportunity to work with cutting-edge technologies and deliver transformative results in the Data Loss Prevention domain.
Key Responsibilities
Design, develop, and maintain innovative DLP cloud services.
Collaborate with team members, product managers, and other stakeholders to define project requirements and deliver high-quality solutions.
Ensure the scalability, performance, and security of the DLP cloud services.
Stay up-to-date with the latest industry trends and technologies to drive continuous improvement and innovation.
Participate in code reviews, testing, and debugging to ensure the highest quality standards.
Contribute to the development of best practices and technical standards within the team.

We're looking for a Security Operations (SecOps) specialist to take ownership of our security infrastructure and operations as we scale. In this hands-on, high-impact role, youll play a crucial role in managing the infrastructure, services and service providers that help keep secure from outside attacks and insider threats, along with managing our information compliance programs.
Responsibilities:
Support and lead our security programs, both internal and with 3rd party vendors.
Lead incident response simulations and continuous vulnerability remediation efforts, optimizing our observability and alerting frameworks.
Support the design and maintenance of resilient, scalable cloud infrastructure, ensuring security is baked into the foundation.
Work closely with company leadership to ensure adoption of security best practices.
Work closely with R&D teams to help them shift security testing left into the early phases of development.
Monitor, detect, and respond to security alerts and infrastructure anomalies, optimizing our logging, tracing, and alerting frameworks.
Conduct regular reviews of security tools and infrastructure such as endpoint security, malware detection, firewall logs, and the like.
Collaborate with our CISO to implement and automate controls supporting fintech/insurtech compliance and data privacy standards (PII protection, SOC2).

We are looking for a software developer to join the team responsible for the WAF engine and machine-learning capabilities.
The developer will design, develop, and improve systems that analyze application traffic, identify behavioral patterns, and support intelligent WAF security decisions. The role involves solving complex algorithmic problems and working with large-scale data and production systems.

We are on a mission to secure the AI transformation that every company is going through, and the OS-level agent is at the heart of that mission. This is your chance to join the fastest growing area in our company and build technology that will shape how cybersecurity works in the AI era. You will be part of a multi-disciplinary team that includes AI researchers, cloud engineers, and OS experts from Israel and from acquisitions like Lakera, all working together to deliver cutting-edge solutions to the largest customers in the world.
Build a Windows security product that protects enterprises from AI-related threats by monitoring interactions with generative AI services across browsers and development tools. Work with a multi-process system architecture featuring network interception, real-time policy enforcement, and deep Windows integration.
Key Responsibilities
Collaborate with macOS, Backend, QA, Product Management and AI teams to ensure consistent behavior and protection across platforms
Develop new features in .NET/C# and maintain existing Windows codebase
Build Windows Services and user-mode agents with secure inter-process communication
Contribute to the network proxy infrastructure for network traffic interception
Leverage Windows system facilities to provide optimal security
Integrate with IDEs and implement MCP protocol proxying
Manage and orchestrate proxy services deployed at runtime
Debug complex multi-process security software.