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we are seeking a Senior Data Infra Engineer. You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.

Responsibilities

Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.
Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.

we are seeking a Senior Software Engineer (Data Engineering). You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.

Responsibilities

Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.
Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.

We're a small, fast, high-ownership team, and we're looking for a Senior Backend Engineer to make work for agents - both by building new agent-facing infrastructure and by reshaping our existing platform for a world where the caller is a machine. Some of this is greenfield. Much of it is taking APIs, auth, and SDKs and making them ergonomic, legible, and reliable for agents.

Its a problem the whole industry is still figuring out. Youll help define what great API design looks like when the caller is not a human developer, but an agent acting on their behalf.

What you'll do
Build the surfaces agents call directly: API-first account provisioning, machine-to-machine authentication, scoped credentials, and agent-level identity and attribution.
Own our MCP (Model Context Protocol) servers and an agent-first CLI - let coding agents and LLMs discover and invoke reliably, engineered for agentic callers: token-efficient tool schemas, machine-parseable output, and loud, actionable failures instead of silent ones.
Harden the agent media path - make upload and core media operations reliable for non-human callers, eliminating the ambiguity and silent-failure modes that cause agents to drop off mid-task.
Make agent behavior measurable - partner on the instrumentation, signals, and attribution that tell us whether agents are succeeding.
Work across a polyglot backend - Node.js/TypeScript for the agent tooling layer, with Ruby/Rails and Go in the core platform.
Ship, measure, iterate - prototype quickly, dogfood the experience, and represent the agent's perspective in every design decision. Work closely with Product, Ecosystem, and Discoverability across the AX team.

We are looking for engineers who are excited about building real-world AI systems in production, not just experimenting with models, but designing scalable applications, integrating intelligent agents into complex products, and solving challenging engineering problems with direct customer impact.
Key Responsibilities
Design, develop, and maintain AI-powered applications, agents, and backend systems
Build intelligent workflows and agentic systems integrated into our company networking and security products
Develop scalable APIs, services, and infrastructure supporting GenAI applications in production
Integrate LLMs, RAG pipelines, vector databases, and orchestration frameworks into robust production systems
Collaborate closely with AI researchers, software engineers, infrastructure teams, and product groups to deliver end-to-end AI solutions
Improve scalability, reliability, observability, and operational excellence of AI systems
Explore and adopt modern AI engineering methodologies, frameworks, and tooling
Participate in architectural and technical decisions shaping the future of AI across our company products.

We're seeking a Senior Full Stack Engineer to build core features for our cybersecurity platform. You'll work with a small engineering team, to deliver features that directly impact user security and experience.
Key Responsibilities
What You'll Do
Lead end-to-end feature development
Architect scalable solutions for our React/NestJS platform
Collaborate with Product, Design, and Security teams on user-facing features
Optimize application performance and security for enterprise customers
Builג scalable systems to onboard and serve a growing customer base.

We are seeking an experienced Senior FinOps Engineer to join our growing FinOps organization. As part of our team, you'll play a crucial role in optimizing cloud spend, driving financial accountability, and implementing best practices across our technology infrastructure.
As a Senior FinOps Engineer, you'll bridge the gap between finance, technology, and business stakeholders to establish a culture of cost awareness and financial responsibility. You'll leverage your technical expertise and financial acumen to implement FinOps practices that align business value with cloud costs.
What We Offer
Career growth opportunities in a rapidly evolving field
Collaborative and innovative work environment
Opportunity to work with cutting-edge cloud technologies
Flexible work arrangements
Professional development support and certification reimbursement
Key Responsibilities
Lead the implementation and enhancement of FinOps practices across the organization
Design and implement cost allocation strategies, tagging policies, and showback/chargeback mechanisms
Develop and maintain cloud cost forecasting models and budgets
Identify cost optimization opportunities through detailed analysis of cloud resource usage
Create and maintain dashboards and reports to provide visibility into cloud spending
Collaborate with engineering teams to build cost-aware architectures and implement cost controls
Partner with finance teams to incorporate cloud costs into financial planning processes
Drive automation of FinOps processes where possible
Stay current with evolving cloud pricing models and optimization strategies
Educate and mentor teams on FinOps principles and cloud cost management.

we are seeking a Lead System Architect to join our system architecture team and help define NR-NEXUS, our next-generation AI inference platform.
Responsibilities:
Lead the software architecture and technical roadmap for NR-Nexus
Write system specifications for NR-Nexus product
Research AI infrastructure, SaaS platforms, model serving, and inference trends
Work with engineering to translate technical capabilities into product value
Work closely with engineering teams to optimize performance, scalability, and feature delivery.
Define performance goals and lead profiling, benchmarking, and optimization efforts for GenAI and distributed AI workloads.
Collaborate with customers, partners, and open-source communities to ensure ecosystem compatibility and adoption.
Mentor software engineers and provide technical leadership

We are looking for a Senior Software Engineer to help build and optimize large-scale, high-performance GenAI infrastructure and inference systems on Kubernetes.
As AI workloads increasingly move toward Kubernetes-native infrastructure, we are building systems that support distributed inference, performance optimization, reliability, observability, and production-grade deployment at scale.
This role is ideal for an engineer who can reason deeply about systems, performance, tradeoffs, and reliability, and who is comfortable owning difficult technical decisions end-to-end.
You will work across inference serving, distributed systems, optimization, and Kubernetes-native AI infrastructure.
What Youll Do:
Build and optimize high-performance Kubernetes-native GenAI inference systems
Work with modern inference stacks such as vLLM, SGLang, TensorRT-LLM, and related tooling
Work with Kubernetes-native distributed LLM inference frameworks such as llm-d and NVIDIA Dynamo
Design and implement optimization algorithms and performance improvements
Improve reliability, observability, deployment, and operational maturity of AI systems
Make architectural decisions and take ownership of technical outcomes
Collaborate with a small, senior engineering team focused on performance and production quality

What You'll Do
Lead a team of engineers building our company's core AI agent, from prompt architecture and tool orchestration to the real-time UI that makes the agent's thinking visible and actionable.
Own the full agent stack: working memory, dynamic persona infrastructure, context management, tool calling, and integration with backend AI services.
Drive architectural decisions around agent reliability, latency, and user trust, including how the agent reasons, when it asks for confirmation, and how users review and act on its suggestions.
Build and iterate on MCP integrations that extend what the agent can do, connecting it to publishing platforms, media tools, and external services.
Collaborate with Product and Design to shape the agent experience: making AI reasoning transparent, interactions natural, and outputs high-quality.
Champion engineering quality through observability (Langfuse), E2E testing, and CI/CD automation on prompts and agent behavior.
Grow your team members technically, help them navigate ambiguity (agent development is full of it), and maintain high velocity on a fast-moving roadmap.

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our companys technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Data Team
our companys Data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day
On a day-to-day basis, we transform raw data into clean, structured models using tools like SQL, Python, and dbt. We build and maintain modern BI platforms, develop reporting systems, and design AI-driven analytics that surface valuable insights quickly and reliably. Our team is hands-on with building reusable metrics, defining source-of-truth data models, and ensuring consistency through a strong semantic layer. Whether were shipping a new dashboard, debugging a dbt model, or refining how a metric is defined across the business, our focus is always on clarity, scalability, and enabling smarter, faster decisions.

As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:
Orchestration Platforms: Apache Airflow, Dagster, Prefect
Transformation Tools: dbt, SQLMesh.
AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with us as a vector store, ML feature stores, and LLM-powered data applications.
our columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make us the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do
Own and evolve our Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
Drive the AI/LLM integration strategy: designing connectors and patterns that make us a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of our Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness our incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make us feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

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.

Be part of Analyzing, designing and developing new features for the Palo Alto IDIRA web interfaces and backend infrastructure for a fast growing SaaS enterprise product. Take part in feature development from the requirement definition stage to final deliverable.
Lead and own various development efforts in the group (Backend/Frontend)
Research platforms and frameworks in the Server side, Cloud and Container Orchestration domains, Web, UI.
Produce quality products that meet high security, stability and performance standards
Diverse technology stack using various programming languages such as Java Spring Boot, Angular 19+.
Member in a highly talented cross-functional development team, built of developers, architects and QA, in an agile oriented environment
Report to R&D Manager.

Our team is responsible for managing the primary entrance gates of customer data to the platform, integrating keen customer understanding with the latest engineering solutions to facilitate high-throughput, minimal-latency, and high-scale data ingestion. We are required to be dynamic and fast, consistently adapting and catching up with the latest technologies employed by our customers to ensure they keep getting the best security coverage for their operational environments and third-party services. We are seeking a Principal/Senior Software Engineer to join a dynamic group that operates with the independence and innovative spirit of a startup, yet benefits from the robust support of a thriving corporation. In this role, you will be instrumental in designing and building high-throughput infrastructure capable of supporting billions of events per second. Your work will involve processing and ensuring the accessibility and visibility of these events to users at peak scales, all while engaging with a diverse range of industry technologies and services.
Key Responsibilities
Responsible for the complete software development lifecycle including requirement analysis, design, development, deployment, and support.
Drive ideas and initiatives, making innovation a reality, and lead your colleagues from ideation through implementation.