לוח משרות דרושים

We're looking for a talented Software Engineer with enthusiasm for AI/GenAI to join our innovation-focused team building agentic AI systems autonomous, reasoning-driven software agents capable of orchestrating complex tasks across tools, APIs, and data sources.
You'll design and build scalable backend systems that integrate large language models (LLMs) and other AI technologies into production-grade services. This role blends backend engineering, AI integration, and rapid prototyping, with room to learn, experiment, and deliver impactful, scalable solutions.
Architect and implement distributed services that power AI-driven applications.
Implement multi-step reasoning pipelines, retrieval-augmented generation (RAG), and domain-specific AI capabilities.
Build robust APIs, plugins, and integrations enabling AI agents to interact with external systems and data sources.
Create and refine proof-of-concepts, validating ideas quickly before scaling to production.
Implement monitoring, evaluation, and logging systems to track AI-powered features in production.
Work closely with product managers, designers, data scientists, and AI engineers to deliver user-focused solutions.
Stay curious about emerging AI frameworks, tools, and best practices to improve reasoning, planning, and autonomy in backend services.

we are looking for a Big Data Software Engineer.
What you'll do:
You will join the Traffic Team, a core engineering team operating at the heart of the company's measurement system.
You will Build and maintain high-throughput streaming systems processing 100B+ daily events.
Tackle performance and optimization challenges that make interview questions actually relevant
Design and implement real-time data processing pipelines using Kafka, Databricks/Spark, and distributed computing
Lead projects end-to-end: design, development, integration, deployment, and production support

we are seeking a Sr Technical Program Manager to drive successful delivery of complex software projects. You'll orchestrate cross-functional collaboration, keep projects on track, and ensure stakeholders stay informed while continuously improving engineering processes. The ideal candidate will be tech and AI savvy, proactive, highly communicative, and a team player and gets things done.
Own end-to-end execution for assigned software projects, understanding business value, critical paths, and milestones
Build and maintain project timelines
Drive project kickoffs and cross-team steering meetings
Manage dependencies across teams and communicate handoffs to external stakeholders
Provide regular written / verbal status updates utilizing automation combined with strategic thinking to provide updates on timing, risk, and action items
Own meeting lifecycle: create agendas, facilitate discussions, capture action items with ownership
Follow up proactively on action items and hold owners accountable
Drive meetings toward clear outcomes, keeping conversations focused
Lead go/no-go meetings with engineering, QA, and product stakeholders
Assess and optimize engineering processes to drive team efficiency
Coach teams on Agile practices and audit scrum ceremonies for continuous improvement
Support and facilitate planning processes

We are seeking a highly experienced Technical Field Architect to join our CTO team, working onsite in our Tel Aviv and Haifa offices in Israel. This is a critical role, facilitating communication and product adoption by the Office of the CTO and other field teams by working closely with our R&D teams to bring product development advances to the field.
The ideal candidate will have a deep understanding of both GTM and R&D processes, and be able to dive into the technical details of new products as they are developed. This person will communicate regularly with colleagues in the Office of the CTO, as well as sales engineering leaders and product management, to ensure rollout of releases and features are well-understood by our field teams and their customers. This person will work with the field and customers to ensure features are developed with customer requirements in mind, and work with engineering and architects to understand the detailed implementation of features.
Responsibilities:
Regularly meet with R&D teams responsible for feature design and development, ensuring alignment with customer requirements and field teams
Understand and help document product development and release processes and timelines
Develop and lead technical presentations for field teams
Work closely with colleagues in both R&D and the Office of the CTO to streamline communication and establishing close alignment
Install pre-release SW and give engineering feedback.

We are seeking a System QA Automation Engineer to drive the validation of our high-performance distributed storage platform, designed for massive AI workloads. In this role, you will architect automation frameworks and tests from the ground up, ensuring seamless integration with the worlds leading orchestration platforms (Kubernetes, OpenShift, OpenStack, Terraform, and vSphere). You will be responsible for defining test strategies, building Python-based tools, and certifying our NFS drivers across a complex matrix of Linux environments.
Key Responsibilities:
Design, develop, and test complex distributed storage products from scratch using Python to interface with storage controllers and orchestration APIs.
Validate storage provisioning, management, and performance within Kubernetes, OpenShift, OpenStack (Cinder/Manila), and VMware vSphere environments.
Lead the testing and certification of NFS drivers (v3/v4) on diverse client operating systems (various Linux distros, Windows Server).

We are looking for a software team leader to lead one of our core teams. He/she will be responsible for the delivery of innovative key features, guiding team members, improving existing products and features. He/she should be a great team player with the ability to develop strong working relationships and increase engagement / collaboration with peers to drive technology roadmaps.
Key Responsibilities
Responsible to contribute to products vision and subsequent execution
Oversee the overall development life-cycle, from design/planning, to implementation and support to maintain high standard of software quality
Provide technical leadership to team member while taking active part in the team tasks
Assigns tasks, reviews work and may contribute to employee performance appraisals
Work with internal teams, peers and customers to understand product requirements thus translating to successful software development.

We are looking for a Software Engineer -A new college Grad to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructure-someone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacks-its about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakes-designed for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object store-backed data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.