דרושים » אבטחת איכות QA » Senior Infrastructure Developer

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.

We are looking for a Quality CI Enigneer 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.
Key Responsibilities
Daily Analysis of automation CI results, Develop, refactor and design automation tests and pipelines integrating with SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests.
Define, develop and execute automated testing plans with deep system knowledge and understanding.

We are looking for a QA Automation Engineer 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.
Key Responsibilities
Develop Testing & Automation SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests
Define, develop and execute testing plans with deep system knowledge and understanding.

Were looking for an experienced Platform Team Lead to drive the evolution of our Data Platform, the backbone that powers analytics, automation, and scalability across our rapidly growing fintech ecosystem.
Youll lead a talented team of up to five developers, guide architectural decisions, and help shape the technical direction as we move from a monolithic setup toward a modern, service-oriented platform
Our technology teams are the driving force of our business.
Our tech teams maintain a dynamic, start-up atmosphere that fosters innovation and critical thinking. you'll collaborate with a diverse, global team of engineers, developers, architects, customer success, and product manager leaders, collectively shaping the future of our premier product suite and transforming financial planning and analysis for the future.
What You'll Do:
Lead and mentor a team of data platform engineers, fostering collaboration, ownership, and technical excellence.
Drive the evolution of our platform - from monolithic components to scalable, service-based architecture.
Design, build, and maintain data pipelines and ETL processes that enable reliable and high-quality data flows across the company.
Collaborate closely with Product, Architecture, and DevOps teams to design and deliver reliable, high-performance systems.
Oversee the development of new features and platform capabilities - ensuring code quality, maintainability, and on-time delivery.
Guide the migration from Celery-based workflows to Temporal, improving reliability and orchestration of data flows.
Take part in shaping best practices around CI/CD, monitoring, and cloud-native development (Kubernetes).
Encourage innovation and continuous improvement within the team.

We are looking for an experienced Senior Backend Engineer to join our fast-growing company during a breakthrough stage, as we build our dream team of the most passionate and professional people in the industry. Our team thinks differently and quickly, delivering high-quality and unique code while using the latest technologies and frameworks - all without forgetting to enjoy the ride!
What Youll Do?
Take part in all development aspects, from design to production, of a wide hybrid/cloud-native product
Write high-quality, testable, and efficient code using Python and Go
Initiate and promote new ideas for continuous improvement of product functionality
Work closely with other team members, as well as mentoring new team members.

We are looking for a powerhouse Senior Software Engineer to join our founding R&D.
You arent just a developer; you are a core architect of our vision.
You will be responsible for building the infrastructure that secures the next generation of AI agents and SaaS ecosystems.
This is a high-impact role where you will own features from the initial napkin sketch through to production. Youll be working with a massive data scale, complex security integrations, and a cutting-edge stack.
What Youll Do:
End-to-End Ownership: Design, develop, and deploy mission-critical features across our entire stack (from React frontends to Spark data pipelines and K8s-orchestrated microservices).
Scale for AI Security: Build and optimize high-performance data systems capable of processing vast amounts of security telemetry using Clickhouse, Iceberg, and Spark.
Architect for Growth: Help define our system architecture as we scale from a small team to a large R&D organization.
Collaborate & Mentor: Work closely with the product team, to translate business needs into technical reality, while mentoring future hires as the team grows.

Required Senior Autonomous Driving Software Engineer
Description
We are building next-generation Level 4 autonomous driving vehicles. As a Senior Software Engineer, you will design, develop, and integrate core infrastructure components that power our perception and planning pipelines. Your work will ensure seamless collaboration between hardware, algorithms, and platform modules - delivering production-grade software that runs in real autonomous vehicles.
Responsibilities
Design and develop infrastructure components to be used across multiple application groups.
Develop and maintain production-grade code for deployment on real vehicles.
Profile, debug, and optimize platform infrastructure modules for performance and reliability.
Integrate software components with hardware and other software modules to ensure seamless system operation.
Work closely with cross-functional teams (hardware, algorithms, and verification) to ensure system-level functionality.
Create and maintain clear technical documentation, including design specifications and system integration details.
Support thorough testing and validation in collaboration with verification engineers.

We are looking for a Senior Data Platform Engineer to design, build, and scale our next-generation data platform, the backbone powering our AI-driven insights.
This role sits at the intersection of data engineering, infrastructure, and MLOps, owning the architecture and reliability of our data ecosystem end-to-end.
Youll work closely with data scientists,r&d teams, analysts to create a robust platform that supports varying use cases, complex ingestion, and AI-powered analytics.
Responsibilities:
Architect and evolve a scalable, cloud-native data platform that supports batch, streaming, analytics, and AI/LLM workloads across R&D.
Help define and implement standards for how data is modeled, stored, governed, and accessed
Design and build data lakes and data warehouses
Develop and maintain complex, reliable, and observable data pipelines
Implement data quality, validation, and monitoring frameworks
Collaborate with ML and data science teams to connect AI/LLM workloads to production data pipelines, enabling RAG, embeddings, and feature engineering flows.
Manage and optimize relational and non-relational datastores (Postgres, Elasticsearch, vector DBs, graph DBs).
Build internal tools and self-service capabilities that enable teams to easily ingest, transform, and consume data.
Contribute to data observability, governance, documentation, and platform visibility
Drive strong engineering practices
Evaluate and integrate emerging technologies that enhance scalability, reliability, and AI integration in the platform.

We are looking for an experienced hands-on Python Engineer who can work independently with remote teams (SW, HW, logic,) and create products that will shape the future of Quantum Computers.
The Quantum Computing SDK is the interface through which our customers run our control system. Customers use it to configure their cutting-edge system and run their ground-breaking experiments. Various institutions from world-class universities to hyper-scalers use the SDK to calibrate their delicate QBits, perform Write and Read Quantum Computing Operations and run programs in higher level Quantum Computing languages like OpenQASM3.
Responsibilities:
Develop the software for the company's Quantum Computing SDK.
Take part in all the technical aspects of the SW development from design to delivery.
Work with high standards of SW methodology, clean-code and CI.

we are redefining cyber risk for SMBs with a cutting-edge Security SaaS product. Were looking for a Software Engineer to join our growing team and help us scale to the next level.

This is a hands-on role where youll collaborate with product managers, data teams, architects, and fellow engineers to deliver innovative, high-impact solutions in a modern, cloud-native environment.

Responsibilities
Design and implement robust, high-throughput event-driven services and complex features in a cloud-based, microservices environment.
Own features end-to-end, from architectural design and estimation through deployment and continuous improvement.
Collaborate closely with cross-functional teams (Product, Data, Core Architecture) to ship high-quality solutions quickly.
Partner with the Product team to convert ambiguous requirements into concrete, well-defined technical specifications.
Maintain high standards of code quality, proactively troubleshoot issues, and ensure smooth operation of new and existing systems.
Provide technical leadership and mentorship, driving code quality standards and contributing to the teams roadmap.
Implement advanced monitoring, distributed tracing, and alerting for system health and incident response.