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We are seeking a skilled and motivated DevOps engineer with deep familiarity in the streaming ecosystem to join our elite infrastructure team. If you're excited by the challenge of operating mission-critical systems at scale and optimizing the developer experience through automation and tooling, wed love to hear from you.

What you will do:

Automate Deployment and Operation
Oversee deployment of Kafka and RabbitMQ clusters (including Confluent Cloud & CFK). Build automation pipelines to ensure repeatability and resiliency across environments.

Monitor and Support Production Systems
Own production stability of global Kafka clusters. Handle on-call rotations, incident management, troubleshooting, and scaling challenges.

Improve Infrastructure Observability
Build and maintain observability systems: dashboards, alerting pipelines, metrics collection (Prometheus, Grafana, etc.).

Optimize System Performance
Collaborate with peers on benchmarking and optimization initiatives. Work on tuning Kafka brokers, cluster configurations, and runtime parameters.

Provide Developer Support and Training (Infra-focused)
Help developers configure topics, quotas, and consumers appropriately. Train service owners to interpret monitoring data and avoid pitfalls.

Develop and Maintain Infrastructure
Contribute to building infrastructure tools and scripts (IaC, Helm charts, etc.) that make provisioning and managing clusters reliable and efficient.

Secure Infrastructure Access
Configure and maintain secure access patterns across streaming infrastructure, ensuring proper authentication and role-based access controls are enforced for both developers and services.

We are looking for an experienced Staff Technical Program Manager. This role involves overseeing the planning, execution, and delivery of technical projects within our organization, while also managing deployments to production environments. The ideal candidate will possess strong project management skills, technical understanding, and the ability to effectively communicate with cross-functional teams.

What you will do:
Project management Lead and manage the end-to-end lifecycle of complex technological projects - understands projects goals and details, proficient in crafting project roadmaps, overseeing scope, backlog, and timelines, monitoring crucial milestones, managing KPIs, and navigating essential dependencies.
Identify and mitigate risks, resolve issues, and make adjustments as necessary.
Establish continuous improvement as part of the culture, processes and tools.
Define and enforce best practices and standards for the production environments operations.
Facilitate and guide R&D teams in the release planning and delivery process, ensuring effective collaboration & execution while defining and implementing best practices and tools.
Ensure cross organizational communication and process coordination, serving as the focal point for project health visibility and strategic status reporting to senior executives
Identify problems by observing and studying system functions and performance results.

We are looking for a Staff AI Platform Engineer to join the Development Platform team, which is responsible for accelerating our R&D velocity and elevating product quality.

We need a pragmatic systems thinker who is deeply passionate about Developer Tools (DevTools) and the future of generative AI. You can architect a distributed LLM workflow in the morning, and influence engineering behavior across the entire org in the afternoon.
In this role, you will enable 200+ engineers to safely and reliably leverage agentic AI.

What You'll Do:
Scale Quality, Not Just Code Volume: Solve the hard problem of AI-driven quality by building rigorous measurement frameworks, ensuring that an AI-accelerated org delivers better software, not just more software.
Establish AI Governance & Security: Architect guardrails around LLM usage, data privacy, and cost management, ensuring 200+ engineers can innovate rapidly without compromising compliance or security.
Optimize the SDLC: Embed autonomous workflows, coding agents, and tool/context design directly into the developer lifecycle to supercharge R&D velocity.
Drive Org-Wide Adoption: Act as a force multiplier, leading the organizational rollout of AI developer tooling and setting production best practices across teams.
Build Agentic Infrastructure: Design and deploy production-grade multi-agent systems, tackling complex challenges like parallel session isolation, subagent delegation, and self-improving feedback loops.

We are looking for a Software Engineer to join the evolution of our Exposure Management core. You will be responsible for the high-throughput architecture that ingests and correlates data from hundreds of integrations and data sources. Your mission is to transform billions of raw data points into a unified asset inventory and an intelligent engine for security risk prioritization and remediation.

Our stack: Python, MongoDB, AWS, FastAPI, ECS, Celery

What you'll do​:
Design and build an infrastructure to correlate multiple data sources and matching methods.
Research and develop algorithms for asset discovery , and solve complicated identification issues.
Develop extendable libraries and utilities which will speed-up our implementations and make sure were building scalable and high-quality solutions.
Work closely with product and other R&D teams.
Help with solving complex customer issues with our solutions and platform.

Required Chip Test Engineer
About The Position
The Chip Test Engineer plays a crucial role in designing, developing, and implementing automated test for IC chips and systems for Automotive industry. The Test Engineer is responsible to define and develop tests, design test features, program test scripts, and analyze test results to ensure the quality and functionality of products. The Test Engineer collaborates with cross-functional teams to troubleshoot issues, improve test processes, and support product development efforts.
Responsibilities
Develop and implement test strategies, plans, and procedures for ATE systems to ensure comprehensive testing of ICs.
Design and develop test features, test programs, and test scripts for automated test environment (ATE) based on product specifications and requirements.
Collaborate with design engineers, product manager, production vendors and manufacturing teams to understand product functionality, performance requirements, and testability considerations.
Conduct feasibility studies and risk assessments to identify potential challenges and develop mitigation strategies for test development and implementation.
Develop test program based on code languages C++ ,Java and Python.
Debug, troubleshoot, and resolve issues with ATE hardware, software, and test scripts to ensure reliable and accurate test results.
Analyze test data and results to identify trends, anomalies, and potential defects, and provide feedback to design and development teams for product improvement.
Develop and maintain documentation for test procedures, specifications, and configurations.
Collaborate with vendors and suppliers to evaluate and select ATE equipment, components, and software tools that meet project requirements and performance standards.
Stay abreast of industry trends, advancements in test technologies, and best practices in automated testing to drive continuous improvement in test processes and methodologies.

We are looking for a Hands-On Software Architect to join our architecture group and work alongside some of the most experienced engineers in the industry.

As a Hands-On Architect, you will actively design, build, and evolve large-scale software systems, set technical direction, and work day-to-day with development teams, product, and other stakeholders to deliver reliable, scalable solutions.

If you are passionate about making real impact, enjoy solving hard problems end-to-end, and thrive in distributed systems that process billions of events per day, wed love to talk.

What Youll Do:
Lead the design and implementation of complex, distributed software systems in production.
Work closely with developers, product owners, and stakeholders to translate business needs into practical, scalable architectures.
Define and drive engineering standards: architecture patterns, coding standards, testing strategies, and operational best practices.
Stay hands-on: write code, review code, and participate in technical problem-solving across teams.
Mentor and coach developers and tech leads, raising the overall technical bar.
Review designs and implementations to ensure solutions are high-quality, maintainable, and resilient.
Continuously evaluate new technologies and approaches, recommending improvements where they provide clear value.
Be involved in production systems: deployments, observability, performance tuning, and incident analysis.

Were looking for a Software Data Platform Tech Lead to join us.
Responsibilities
Lead, mentor, and develop a team of senior software engineers through one-on-ones, feedback, and technical guidance.
Design, develop, and maintain the core backend architecture of our Data platform.
Take ownership of end-to-end development processes, from design to deployment.
Build and deploy scalable APIs, micro-services, and systems that enable seamless Data processing workflows.
Research and integrate advanced technologies to improve system scalability and reliability.
Ensure code quality through testing, code reviews, and best practices.

As we grow rapidly, your role as a Software Engineer will be critical to the companys success. You will build a robust infrastructure integrated with the platform to acquire network insights. You and the team will design, develop, and maintain out-of-the-box modules, algorithms, and extensions while working with highly talented engineers.

What you'll do:
Develop and maintain integrations with various network devices and Network Management Platforms.
Develop and maintain infrastructures that support integrations products, process them, store them, and expose them to the rest of the system.
Integrate with the platform and be a key player in its design and development
Develop extendable libraries and utilities that will speed up our implementations and make sure were building scalable and high-quality solutions.
Work closely with product and other R&D teams.
Help with solving complex customer issues and scale issues with our solutions and platform.

Were looking for a talented Radar System Integration Engineer to join our innovative System Engineering group.
Responsibilities
Integrate multidisciplinary full radar system including HW Platform, ASIC, RFIC, SW, ALGO
Troubleshoot and debug our Radar, ASIC and FPGA platforms
Define, implement and execute acceptance tests plans, procedures, and reports
Define new features and HW requirements for full system optimization
Simulate and analyze mix signals system data
Validate system performance.

The Data Science role is the engine behind our industry-leading Exposure Management (EM) platform.
You will be responsible for the AI models that power our CAASM (Cyber Asset Attack Surface Management) capabilities and our advanced Vulnerability Prioritization and Remediation engines.

We are building the intelligence layer that helps organizations implement a Continuous Threat Exposure Management (CTEM) framework. You will build models that normalize fragmented data from hundreds of sources, calculate complex risk scores, and prioritize which exposures actually pose a threat to the business.

We are looking for an experienced and creative data scientist, with a software development touch, to join our Data Science and our family. A data scientist that understands and loves data, and lots of it.

What you will do...
Solve Applied Product Challenges: Deep-dive into our product ecosystem to identify and solve high-impact problems. You will translate complex customer needs into scalable ML features that directly improve the user experience.
Lead Exposure Intelligence R&D: Develop features that unify asset data (CAASM) with threat intelligence. This includes building models for entity resolution (deduplicating assets across fragmented sources) and automated risk assessment.
Advanced NLP & Knowledge Extraction: Use NLP and LLMs to parse unstructured security data-such as CVEs, threat intel feeds, and security advisories-to automate the mapping of vulnerabilities to specific business contexts.
Predictive Prioritization: Design and optimize algorithms that go beyond static CVSS scores. You will incorporate exploitability (EPSS), reachability, and business criticality to help clients focus on the 1% of exposures that matter most.
End-to-End Ownership: Work closely with Product Managers and Data analysts and Engineers to ensure your models aren't just accurate in a notebook, but are robust, explainable, and deliver clear value within the product UI.
Graph-Based Attack Surface Mapping: Identify hidden patterns and relationships between assets, users, and vulnerabilities to visualize the potential "blast radius" of a security gap.

Were looking for a talented Hardware Engineer to join our innovative team.
Responsibilities
Design, develop, and validate hardware boards for advanced radar and chip-based systems, with a strong focus on digital circuitry and power supply design.
Perform hands-on lab work (HO), including board bring-up, debugging, troubleshooting, repair, and continuous improvement of existing hardware.
Define, write, and execute comprehensive test plans and test setups for board-level validation.
Analyze test results, characterize performance, and document findings, including detailed test reports, failure analysis, and corrective actions.
Support schematic design activities and contribute to the development and maintenance of design environments and databases for EDA tools.
Experience with SI/PI simulation tools.
Collaborate closely with lab technicians, engineers, and cross-functional teams to ensure efficient execution of lab activities and project goals.
Take an active role in prioritizing tasks, driving technical decisions, and owning deliverables end-to-end.

We seek an experienced and highly skilled Senior Engineer to join our Data Platform Team. This is an exciting opportunity to work on cutting-edge technologies, drive innovation, and play a key role in designing and implementing the companys data infrastructure and architecture.

What you'll do

Database Infrastructure Development - Design, develop, and maintain scalable and reliable self-serve database infrastructure, including PostgreSQL, MongoDB, SingleStore, and AWS Aurora.

Big Data Infrastructure Development - Design, develop, and maintain scalable and reliable self-serve big data infrastructure, including cloud-agnostic data lakehouse, distributed databases, and platform-powered data pipelines.

End-to-End Ownership - Take responsibility for the entire lifecycle of data infrastructure, from DevOps (Terraform, Kubernetes) to application-level components (infrastructure libraries, core components in data pipelines).

Architecture Leadership: Collaborate with the Architecture group to define and maintain the companys core architectural vision.

Partner with development teams, providing technical guidance, best practices, and support from the design phase to production deployment.

Innovation and Exploration - Work on diverse and impactful projects across different layers of the tech stack, exploring new technologies and approaches to improve reliability, efficiency, and scalability.

Were looking for a talented Embedded SW Engineer to join our innovative team. As a member of our team, you will be responsible to innovate, design and implement embedded software in C/C++ for our chipset.
Responsibilities
Design, implement and optimize the embedded software driving our chipset (drivers, middleware and application layer)
Collaborate with System architecture and Hardware groups to deliver quality system solutions
Optimize code for memory usage, performance, and power efficiency
Ensure compliance with Safety and Industry standards.

Were looking for a talented Applied Algorithms & Operational Researcher to join our innovative team. As a member of our team, you will be responsible for analyzing extensive data, developing new metrics for our customers' vast data sets, and creating tools to classify and analyze the data effectively.
Responsibilities
Conduct comprehensive performance analysis of automotive radar systems, including data collection, processing, and interpretation. Evaluate system performance in various scenarios.
Develop and implement algorithms and tools to process and analyze radar data. Extract relevant performance metrics and provide meaningful insights into system behavior and limitations.
Collaborate with the development team to identify areas for improvement and optimization.
Conduct radar system performance tests and validation procedures. Create test plans, define test cases, and analyze results to ensure system performance meets specified requirements. Identify potential issues, troubleshoot problems, and propose solutions.
Create concise reports, technical documents, and presentations summarizing performance analysis results and recommendations. Effectively communicate findings to cross-functional teams, including engineers, managers, and other stakeholders. Contribute to product documentation and technical specifications.