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It starts with you - a technical leader whos passionate about building resilient, automated infrastructure and growing high-performing teams. You care about operational excellence, developer experience, and enabling AI-driven teams to move fast with confidence. Youll lead the DevOps team in architecting and operating the compute and networking infrastructure that powers our AI platform - from CI/CD pipelines to Kubernetes clusters to observability systems.
If you want to lead a team that builds the infrastructure foundation for mission-critical AI systems, join mission - this role is for you.
:Responsibilities
Lead and grow the DevOps team - hiring, mentoring, and developing engineers while fostering a culture of ownership and continuous improvement.
Define compute and networking infrastructure strategy across cloud and on-prem environments; drive architectural decisions that balance reliability, security, cost, and velocity.
Own the platforms deployment, scaling, and operational posture - ensuring systems meet demanding SLAs for government and national-scale customers.
Build and evolve CI/CD pipelines for application and service deployments with automated testing, security scanning, and rollback capabilities.
Drive infrastructure-as-code practices for compute, networking, and orchestration - ensuring reproducible, auditable, and version-controlled infrastructure across all environments.
Enable AI-native operations - support agentic deployment pipelines, self-healing infrastructure, and secure sandboxing for model experimentation.
Establish observability, alerting, and incident response practices that provide visibility into system health and enable fast recovery.
Partner with Engineering, Data Platform, Data Engineering, and Security teams to align infrastructure capabilities with platform needs.
Establish infrastructure characteristics (availability, latency, throughput) that enable data freshness, correctness, and low-latency pathways for AI training/inference, retrieval, and agentic workflows.
Ship paved-road developer tooling - shared templates, CI/CD workflows for services, IaC modules for compute and networking, and runbooks - to standardize best practices across engineering teams.
Collaborate with Engineering, Data Platform, Data Engineering, Security, Product, AI/ML, Data Science, and Analytics to align infrastructure capabilities with evolving platform and data product needs.

Were looking for a passionate, creative, and highly motivated Product Designer to join our Mobile and Web Product teams. The team is responsible for all aspects of product development for the Rider, Driver Apps, and Business platform, used by millions of users globally. As a product designer, you will be involved in all the development aspects of our wide range of products and features: from the initial research, user-journey design, wireframing, and prototyping to the launch and beyond. Youll be collaborating with other product designers, product managers, and engineers.
We expect you to be:
Owner of the product's overall look and feel.
Product thinker - identifying and understanding users needs and new opportunities derived from them.
Problem solver - taking complex problems and coming up with well-researched and elegant solutions based on the use of UX methodology.
Data-driven designer - making design decisions based on data, user behavior, and measurable outcomes to ensure impact and continuous improvement.
Pixel-perfect freak - compromising on the smallest details.
Team player - demonstrating great interpersonal skills while interacting with the product managers R&D teams and other stakeholders.
Fast learner - evolving fast, while being capable of learning from both success and failure.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI infrastructure. This group builds scalable, high-performance AI systems for internal users and external customers, designed to run seamlessly across cloud and on-premise environments using the latest hardware advancements.
:Responsibilities
Design, build, and maintain scalable Kubernetes-based infrastructure for ML workloads across on-premise and cloud environments
Architect hybrid infrastructure solutions enabling seamless model flow from on-premise training environments to cloud-based inference deployments
Implement model registry and artifact management strategies that support cross-environment synchronization, versioning, and governance
Design secure, efficient data and model transfer mechanisms between on-premise and cloud (networking, storage replication, caching strategies)
Implement and manage GPU scheduling, resource allocation, and cluster autoscaling for heterogeneous compute environments
Build and maintain CI/CD pipelines for ML systems, including model versioning, testing, and promotion across environments
Develop observability solutions (logging, monitoring, alerting) for ML infrastructure across hybrid deployments
Collaborate with ML Engineers to define infrastructure requirements and SLAs for training and serving workloads

we are looking for a Senior Data Scientist - AI Research Group.
:Responsibilities
Conduct hands-on research and development of state-of-the-art models, algorithms, and systems.
Lead research projects end-to-end from problem formulation, ideation, and experimental design to prototyping and transition into production.
Explore new methodologies and develop creative approaches to solve complex challenges.
Identify ambitious research directions and invent novel approaches to solve complex, high-impact problems.
Shape the research roadmap and influence long-term technical strategy across the organization.

It starts with you - an engineer driven to build resilient, automated infrastructure that enables teams to move fast with confidence. You care about operational excellence, developer experience, and reliability at scale. Youll architect and operate the compute and networking infrastructure that powers our AI platform - from CI/CD pipelines to Kubernetes clusters to observability systems - across cloud and on-prem environments.
If you want to build infrastructure that powers mission-critical AI systems at national scale, join mission - this role is for you.
:Responsibilities
Architect and operate Kubernetes-based infrastructure across AWS and on-prem environments, ensuring high availability, security, and performance.
Design and maintain CI/CD pipelines for application and service deployments with automated testing, security scanning, and rollback capabilities.
Drive infrastructure-as-code practices for compute and networking - building reproducible, auditable, and version-controlled infrastructure.
Own reliability and incident response - establish SLOs, build alerting systems, lead incident resolution, and drive post-incident improvements.
Enable AI-native operations - support agentic deployment pipelines, self-healing infrastructure, and secure sandboxing for model experimentation.
Build and maintain observability systems - metrics, logging, tracing, and dashboards that provide visibility into system health.
Optimize infrastructure cost and performance - right-size resources, implement auto-scaling, and identify efficiency opportunities.
Collaborate with Engineering, Data Platform, Data Engineering, and Security teams to align infrastructure with platform needs.
Shape infrastructure characteristics that support data freshness, correctness, and low-latency pathways for AI training/inference, retrieval, and agentic workflows.
Contribute paved-road tooling - reusable CI/CD patterns for services, IaC modules for compute and networking, and runbooks - that streamline delivery across teams.
Collaborate with Engineering, Data Platform, Data Engineering, Security, Product, AI/ML, Data Science, and Analytics to anticipate and meet cross-functional needs.

We are seeking an experienced DevOps Team Leader to lead our DevOps team as part of our Platform Engineering group. As a DevOps Team Leader, you will be responsible for overseeing the design, development, and deployment of our sophisticated DevOps solutions across cloud and on-premises environments. This role involves leading a team of DevOps engineers, driving best practices in code, architecture, and infrastructure management while ensuring high availability and optimal performance of our services.
:Responsibilities
Lead and mentor a team of DevOps engineers in building and maintaining the best solutions for our production platform.
Champion an 'Everything as Code' approach: manage our infrastructure using a wide range of technologies including Ansible, Terraform, and Kubernetes.
Oversee the creation and maintenance of tools for automation, deployment, monitoring, and operations.
Drive troubleshooting and resolution of issues in our development, production, and test environments.
Foster a culture of excellent communication, collaboration, and innovation within the team.
Ensure continuous professional development and upskilling of team members to keep pace with technological advancements.

Were building the next generation of autonomous cybersecurity technology - systems that think like attackers to continuously uncover security gaps in enterprise environments.
As a Senior Engineer in our Attack Simulation Platform team, youll design and build the engines, data models, and intelligent agents that simulate advanced adversaries across large-scale networks. Youll combine strong software-engineering skills with deep security intuition to create systems that mirror human attacker behaviour and discover real weaknesses before attackers do.
:Responsibilities
Design and build AI-driven agents that emulate adversarial behaviours such as lateral movement, privilege escalation, and persistence.
Develop core simulation and orchestration components in Go (primary language) and integrate with in-house AI models.
Model and simulate attack paths across complex enterprise environments (identity, endpoint, network, and cloud).
Collaborate with red-teamers, researchers, and data scientists to translate threat intelligence and real attack TTPs into executable logic.
Contribute to architecture decisions, scalability, and performance optimization for distributed simulations.

We're building Cyber Threat Intelligence platform - an AI-first product that harvests, contextualizes, and serves threat intelligence at scale. We're looking for a Python-native backend engineer to own the infrastructure that makes this possible.
You'll design and build the systems that power both agentic AI workloads and large-scale data orchestration - exposing CTI insights as a service to UI components, APIs, and autonomous agents across the ecosystem. This is a greenfield opportunity where you'll shape foundational architecture decisions on a new product with a small, high-impact team.
:Responsibilities
Shape and build our data lake architecture, orchestration layer, and data access patterns.
Build the tooling and infrastructure that enables AI agents to consume and reason over threat data.
Develop systems that harvest data from open and dark web sources, cross-reference signals, and contextualize raw intelligence into actionable insights.
Serve curated CTI data to various consumers - dashboards, internal services, and other agents in the platform.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Create developer tooling and experiences that make the platform usable for other engineers building on top of it.

Were looking for a Senior Data Scientist who will join our growing Detection group. You'll be a significant part of the development of our state-of-the-art anomaly detection models to find and protect against nation-sponsored cyber-attacks. In this role, you will work with product, engineering, and cyber teams to train, evaluate, and deploy anomaly detection models on a massive scale.
:Responsibilities
Analyze, transform and clean large, complex data sets from various sources to ensure data quality and integrity for analysis.
Conduct hands-on research and development of state-of-the-art models and algorithms.
Extract relevant features from structured and unstructured data sources, design and engineer new features and feature selection methodologies to enhance model performance.
Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics.
Lead research projects end-to-end from problem formulation, ideation, and experimental design to prototyping and transition into production.
Explore new methodologies and develop creative approaches to solve complex challenges.

We are looking for an experienced Senior DevOps Engineer to join our DevOps team who is passionate about software design, development and deployment. The job involves writing production-grade modern DevOps solutions that will be shipped to the cloud and on-prem solutions.
:Responsibilities
Build the best solutions for our production platform.
Everything as a code approach (IaC): Run our infrastructure with a wide range of technologies including Ansible, Terraform, and Kubernetes
Build and maintain tools for automation, deployment, monitoring, and operations
Troubleshoot issues in our development, production, and test environments
Excellent communication and people skills
Work well in a team!

We are on the lookout for an experienced engineer to join our DevOps team who is passionate about software design, development, and deployment.
The role focuses on designing, building, and maintaining production-grade cloud solutions, ensuring scalability, reliability, and security. You will manage CI/CD pipelines, automate deployments, monitor system performance, and collaborate across development teams to deliver resilient infrastructure in a rapidly evolving environment.
:Responsibilities
Collaborate closely with development teams to define and implement infrastructure requirements that support scalable, secure, and efficient operations.
Develop and maintain internal tools to automate workflows, streamline development processes, and enhance monitoring and operational efficiency.
Diagnose and resolve issues across development, testing, and production environments to ensure system stability and optimal performance.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world product quality. Youll work closely with developers, product managers, and automation engineers to plan, execute, and continuously evolve our testing strategy-ensuring every feature we ship meets the highest standards.
:Responsibilities
Own the end-to-end quality of features from planning through release.
Design and execute comprehensive test plans covering exploratory, functional, regression, and integration testing.
Advocate for quality early by actively participating in product and feature design discussions.
Identify edge cases and gaps by collaborating with developers and automation engineers.
Support automation efforts by validating coverage and assisting with test integration.
Report bugs clearly and constructively, and help triage issues across teams.
Contribute to QA documentation and share testing knowledge with the broader team.

We are looking for a senior Windows developer who is passionate about software design, code quality, and performance. The job involves writing production-grade and highly performant code that will be shipped to thousands of endpoints. The role includes developing for the Windows kernel to collect the necessary data as well as writing user-mode code for integrating the kernel driver into our sensors architecture.
:Responsibilities
Write production-grade C/C++ code to create robust and high-performance software drivers and applications for Windows.
Investigate possibly undocumented system behavior to enable product features or to resolve software issues.
Optimize code for maximum efficiency and resource utilization, ensuring the smooth operation of our solutions.
Collaborate closely with operating system internals to gather essential data for analyzing abnormal behavior on endpoints.
Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices.
Work effectively within a team, contributing to a collaborative and innovative development environment.
Apply your problem-solving abilities to address complex technical challenges in the cybersecurity domains.

We are looking for an experienced, passionate Senior Backend Engineer to join our growing TLV R&D location. You'll be joining the backend group to help us expand our backend system and add new features to the company's core product.
As a Senior Backend Engineer, you'll play a crucial role in driving the backend architecture and technical strategies that underpin our success. This is a great Opportunity to make a significant impact by driving the technical direction of a high-growth company.
As a Senior Backend Engineer, you will:
Build backend system from the ground up
Design and collaborate with the engineering team to build architecture and system design for new products
Build internal products and integrate with external APIs
Play a role in building, expanding, testing and releasing of a product helping thousands happy customers.

Join our company, where we're shaping the future of auto finance with AI. As a Product Manager for Payments, you'll be at the core of our loan servicing operations, building the critical systems that power every aspect of the lending lifecycle. You'll modernize legacy architecture, streamline complex payment workflows, and enable innovative self-service capabilities that transform how borrowers and agents interact with our platform. Your role isn't just about products; you'll directly impact our financial operations, regulatory compliance, and business scalability, with endless opportunities for growth. Come thrive in our dynamic environment, leading the evolution of payments and loan servicing in AI and machine learning for auto finance.
Key Responsibilities:
Collaborate with internal and external customers to understand the problems and develop insights, and translate those findings into new product innovations
Partner closely with engineering to drive the creation, planning, prototyping, and development of products and features in support of key product metrics and goals
Foster strong relationships with subject matter experts, analysts, data scientists, and technology teams across our company
Own, prioritize and maintain the product backlog
Analyze and articulate insights from data to inform product roadmap decisions and drive alignment across functions and senior leadership
Break down features into detailed stories and acceptance criteria that can be executed by an agile team. Find ways to deliver value incrementally
Effectively communicate to a wide business audience project status and post-launch measurement of progress
Collaborate closely with the Finance and Accounting teams on daily and month-end reporting, reconciliation processes, and ensuring accuracy across complex financial data models is a plus.