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We are looking for a talented QA tester
:About the Company
Cyber company dealing with Internet content filtering technologies (image, video and text analysis)
Location: Petach Tikva

our r&d team is expanding into Embedded development for networking and communications infrastructure.
we design and develop advanced networking solutions running on Linux and Real-Time operating systems.
location:
ramat hachayal, tel aviv. hybrid option once a week.
responsibilities
develop Embedded software in C and C ++ for networking and communication systems
work in Linux and vxworks (rtos) environments
design, implement and TEST software components across the full development cycle
debug and troubleshoot issues at the system level
work closely with hardware, QA and other development teams

As the Infrastructure Engineering Lead, you will own the technical direction, architecture, and delivery of core production data infrastructure (MySQL, SingleStore, Snowflake, Airflow, and Microservices).
In this role, you will balance in-house, open-source, and SaaS solutions to manage petabyte-scale data while ensuring system reliability, scalability, and cost-efficiency. You will blend hands-on engineering, technical architecture, vendor management, and team mentorship. You will lead cross-functional delivery, drive operational excellence across a 24/7 production environment, and set engineering guardrails for cloud-based data systems across the company.
Responsibilities:
Technical Leadership & Architecture: Set engineering guardrails, lead architectural reviews, lead the pods daily, and balance design tradeoffs for cloud-based data systems across all business units.
Execution & Delivery: Own the pods Scrum processes (epics, stories, tracking), balance technical debt management with rapid feature delivery, and drive multi-project execution.
Hands-on Engineering & Escalations: Stay active in code and infrastructure, serving as the primary technical escalation point for complex, 24/7 production issues.
Ops, High Availability & Reliability: Oversee operational readiness, rotation schedules, high availability (HA), backup and recovery processes, and automation to maintain 24/7 production uptime.
Mentorship & Team Culture: Raise the technical bar, foster a culture of engineering excellence, mentor team members, and drive professional growth within the pod.
Stakeholder & Vendor Alignment: Act as a strategic partner to align roadmap planning, bridge technical execution with business goals, and serve as the main point of contact for data infrastructure vendors.

As the Senior DevOps Architect, you will own the architectural direction of cloud infrastructure, engineering platforms, and developer experience across our Cloud and DevEx groups.
Combining infrastructure expertise with hands-on software engineering, you will turn business and engineering needs into technical roadmaps and production solutions, including AI services and agents for internal and external-facing systems.
As part of your work you will be responsible for:
Own the technical roadmap and architecture across DevOps and DevEx, establish shared standards, and lead initiatives from design to production through hands-on implementation.
Architect scalable, secure, and resilient cloud infrastructure, covering Kubernetes, networking, infrastructure as code, and modernization.
Design shared platforms and self-service workflows that simplify development, CI/CD, deployment, and troubleshooting.
Define architectural standards for observability, availability, disaster recovery, and capacity planning.
Architect and contribute to production AI services and agents, including system integration, evaluation, security, and reliable operation.
Align priorities with R&D, Product, and Security, resolve cross-team dependencies, and mentor engineers and technical leads.

What youll lead
Enterprise‑wide Cloud & SaaS architecture vision
Multi‑tenant, high‑availability, distributed systems
Shared services consolidation (Auth, Analytics, APIs, GenAI foundations)
Microservices & cloud‑native architecture design
DevOps, CI/CD, and unified cloud deployment automation
Cross‑product integrations and platform‑level innovation

We are looking for a Data Analytics Engineer with strong technical skills to join the Marketing Data team. You will be the go-to person for how Marketing and other teams measure what matters. You will define the metrics, build the analysis behind them, and keep the data underneath them reliable.

Our marketing data model on BigQuery is already in production. You will report to the VP Growth and work directly with Marketing, Product and Sales leaders.



What You'll Do
Work with Revenue leaders to turn business questions into clear metric definitions, KPIs and measurement plans.
Build analysis and dashboards on acquisition, conversion, activation, feature adoption and retention.
Identify gaps in tracking and work with R&D to close them.
Maintain and extend existing pipelines and models (Airflow, Fivetran, ad platform connectors, BigQuery transformations).
Monitor data quality and fix issues before they reach stakeholders.
Document metric definitions, models and decisions as you go.

Were looking for a senior engineer who is ready to move beyond traditional software development and take full ownership of product delivery.

This is not a classic backend engineering role. You will work directly with Product to turn ideas and requirements into production-ready solutions, make the technical decisions, and use AI coding agents as a core part of your engineering workflow.

You will own the outcome, not just the code. AI-generated code is your code, and you are accountable for its quality, security, performance, and maintainability.


What youll do
Own product features end-to-end, from requirements through production and monitoring.
Work with Product to translate business problems into clear technical solutions and execution plans.
Design scalable and maintainable solutions, including architecture, APIs, data models, and integrations.
Use AI coding agents to accelerate implementation, testing, debugging, and automation.
Review and improve AI-generated code, ensuring high standards for correctness, security, performance, and maintainability.
Make independent technical decisions and communicate architectural trade-offs clearly.
Contribute across backend, frontend, QA, CI/CD, and infrastructure when needed to deliver a feature.
Investigate and solve complex production and performance issues.
Continuously improve how we build, test, and ship software using AI-native development practices.

We are looking for a technically sharp, customer-focused Solutions Architect to help drive adoption of our blazing-fast real-time data platform. In this high-impact role, youll partner closely with our sales team to win business by translating complex technical capabilities into clear, compelling value for our customers.
Based in Israel, youll serve as the technical expert and strategic advisor throughout the sales process - from discovery to demo to deployment. Whether its architecting a high-scale solution, answering in-depth questions, or running a proof of concept, your expertise will be key to helping customers realize the power of us.
This is a pre-sales position.
Responsibilities:
Preparing and developing technical presentations to explain our company's products or services to customers.
Discussing equipment needs and system requirements with customers and engineers.
Collaborating with sales teams to understand customer requirements and provide sales support.
Researching, developing, and identifying modifying products to meet customers' technical requirements and needs.
Soliciting and logging client feedback and evaluating the data to create new sales and marketing strategies to target customers.
Identifying areas for improvement and communicating these issues as well as possible solutions to upper management, including product managers.
Setting and achieving sales goals and quotas.
Training other members of the sales team on the technical aspects of the company's products and services.