דרושים » הנדסה » Software Engineer - Data Infrastructure

Were looking for a Senior Software Engineer to join our growing R&D team. In this role, you will play a critical part in designing, building, and optimizing complex systems that power our AI-driven platform.
Youll work across the stack- primarily on backend services - with opportunities to influence architectural decisions and build highly scalable and performant systems.
Youll collaborate closely with AI, product, and frontend teams to bring advanced features to life and ensure a seamless, intelligent experience for our users.
This is a high-impact role for someone who is passionate about engineering excellence, eager to shape systems end-to-end, and ready to grow with a fast-moving, AI-first company.
Key Responsibilities:
Design, develop, and maintain robust backend systems and services.
Ensure the scalability, performance, and security of backend components.
Collaborate with front-end developers and data teams to integrate user-facing elements with server-side logic.
Optimize the platform's infrastructure to handle large-scale data processing and analysis.
Troubleshoot and debug complex issues, identifying and implementing the most effective solutions.
Contribute to the architecture and system design decisions for the backend infrastructure.
Stay up to date with industry trends and new technologies to continuously improve backend performance.

About the Role:We are seeking an experienced Senior Data Engineer to join our dynamic data team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure, ensuring the availability, reliability, and quality of our data. This role requires strong technical expertise, problem-solving skills, and the ability to collaborate across teams to deliver data-driven solutions.Key Responsibilities:

Design, implement, and maintain robust, scalable, and high-performance data pipelines and ETL processes.
Develop and optimize data models, schemas, and storage solutions to support analytics and machine learning initiatives.
Collaborate with software engineers and product managers to understand data requirements and deliver high-quality solutions.
Ensure data quality, integrity, and governance across multiple sources and systems.
Monitor and troubleshoot data workflows, resolving performance and reliability issues.
Evaluate and implement new data technologies and frameworks to improve the data platform.
Document processes, best practices, and data architecture.
Mentor junior data engineers and contribute to team knowledge sharing.

We are looking for an experienced Senior Backend Engineer to join our Browse Management Core team.

As part of our core team, youll design and implement high-impact backend services, collaborate with frontend, DevOps, and product teams, and play a key role in shaping the next generation of Browse Management architecture.

Youll help build and evolve the backend infrastructure that powers our cloud-native security platform, delivering advanced protection, observability, and scalability at global scale.

If youre passionate about solving complex backend challenges, scaling distributed systems, and driving innovation in cybersecurity, this is the place for you.

Key Responsibilities
Design, develop, and maintain cloud-native backend services supporting a large-scale SaaS security platform.
Build scalable, secure, and resilient architectures using modern AWS services (EKS, ECS, EC2, RDS, SQS, CloudFront, IAM).
Develop and optimize RESTful and event-driven APIs, backend integrations, and data flows.
Work in a microservices-based environment, ensuring high availability, observability, and performance.
Collaborate closely with frontend, DevOps, and product teams to deliver end-to-end solutions.
Implement monitoring, alerting, and reliability best practices for production environments.
Write clean, maintainable, and testable code, contributing to best practices and design standards.
Participate in architecture and design reviews, influencing the technical direction of the platform.

We're seeking an outstanding and passionate Data Platform Engineer to join our growing R&D team.
You will work in an energetic startup environment following Agile concepts and methodologies. Joining the company at this unique and exciting stage in our growth journey creates an exceptional opportunity to take part in shaping data infrastructure at the forefront of Fintech and AI.
What you'll do:
Design, build, and maintain scalable data pipelines and ETL processes for our financial data platform.
Develop and optimize data infrastructure to support real-time analytics and reporting.
Implement data governance, security, and privacy controls to ensure data quality and compliance.
Create and maintain documentation for data platforms and processes
Collaborate with data scientists and analysts to deliver actionable insights to our customers
Troubleshoot and resolve data infrastructure issues efficiently
Monitor system performance and implement optimizations
Stay current with emerging technologies and implement innovative solutions

We are looking for a Backend Engineer.
As a Backend Engineer, you build the scalable, resilient engine that powers the Yotpo platform. Your mission is to design and implement high-performance services that handle massive scale, ensuring data integrity and system reliability for thousands of brands. Working within a product team, you will translate complex business logic into robust architectural solutions, ensuring that our infrastructure can scale as fast as our customers do.
Key Responsibilities:
Distributed Systems Design: Design and build microservices and event-driven architectures that are resilient, scalable, and maintainable. You will make critical decisions on synchronous vs. asynchronous communication and data consistency.
Data Mastery: Manage the lifecycle of data across our platform. You will design efficient database schemas (SQL & NoSQL) and optimize query performance to handle high-throughput workloads.
Operational Excellence: Embrace the You Build It, You Run It philosophy. You will own your services in production, implementing observability (logging, tracing, metrics) to detect issues before our customers do.
API Craftsmanship: Build clean, secure, and well-documented APIs (REST/GraphQL) that serve as the contract between our backend services and the frontend experience.

As a Staff Engineer, you will be the technical lead and driving force behind the groups most complex initiatives. You will work closely with engineers, tech leads, architects, and product managers to solve high-scale distributed systems challenges, improve performance, and design robust, future-proof systems.
This role is ideal for experienced software architects and senior developers who are passionate about system architecture, performance at scale, and leading cross-team engineering efforts without formal management duties.

Key Responsibilities
Act as the technical authority for large-scale backend systems within the Execution group.
Gain deep understanding of the Orchestration groups services, the campaign targeting flow, and how the product works as a whole, in order to make architectural decisions in the broader product context.
Champion the groups strategic adoption of AI and Vibe Coding practices, becoming a key enabler for increasing developer efficiency through the use of cutting-edge AI development tools.
Lead the design and implementation of distributed, high-throughput, low-latency services that support billions of message executions monthly.
Partner with Engineering Managers and Architects to shape the groups long-term technical vision and architecture roadmap.
Define and enforce engineering standards and best practices across services.
Conduct in-depth design and code reviews, mentoring other engineers and elevating technical excellence.
Proactively identify cross-cutting concerns and drive group-wide engineering initiatives (e.g., observability, resiliency, fault tolerance).
Analyze and improve system bottlenecks in data flow, message queuing, storage, and processing pipelines.
Take ownership of non-functional requirements such as reliability, scalability, maintainability, and security.
Collaborate with Product and Data Science teams to ensure engineering plans align with business priorities.

As a Senior Platform Engineer , youll join our R&D center in TLV. Youll be part of a team of developers and devops engineers, directly contributing to our product by using cutting-edge technologies. Youll take a critical part in our mission to shape the future of transportation, affecting tens of thousands of riders daily worldwide.

The Platform Group is a cross-functional group dedicated to building and maintaining the robust foundation on which operates. This team is responsible for designing, implementing, and managing cloud infrastructure, Kubernetes clusters, CI/CD systems, and tools that empower our development and production environments.

With a focus on enhancing developer experience, operational efficiency, and reliability, the team drives initiatives that:

Design and implement scalable and secure cloud infrastructure.
Develop and maintain Kubernetes clusters and related tools, ensuring high availability and performance.
Manage edge gateways, WAF solutions, and other critical infrastructure components.
Define and enforce CI/CD standards to streamline development and delivery workflows
Build tools and automation to enhance productivity across engineering teams.
Ensure the reliability, security, and scalability of production infrastructure.
What Youll Do:

Define infrastructure standards for dev teams
Design, implement and develop tools for controlling infrastructure of micro services
Build CI/CD automation and templates with GitLab
Build, maintain and operate AWS and Kubernetes infrastructure
Develop and maintain an in-depth understanding of the applications and architecture
Work in contact with other teams across the company to ensure smooth and documented changes to all environments
Identify and resolve problems in mission-critical services, automating remediation procedures to prevent recurrences
Bring ideas to the table, take ownership over their project timelines and deliverables and help us scale

As our company continues to grow, an exciting opportunity awaits for a dynamic individual to join our R&D team as a Senior Full Stack Engineer. We are looking for a highly experienced Python developer to take end-to-end ownership of our entire stack. This role requires deep expertise in architecting scalable, modular, and distributed systems, a proven ability to craft modern frontend experiences, and a strong background in integrating AI-driven capabilities. The ideal candidate will be responsible for everything from data pipelines and architecture to user-facing features and the implementation of LLM-powered intelligence.

Responsibilities
Design, build, and scale backend services, APIs, MCPs, and data pipelines to support high performance, reliability, and growth
Architect and implement distributed, event-driven solutions using technologies like Kafka, RabbitMQ, or similar brokers.
Design robust systems and database models to ensure efficient data flow, maintainability, and support for AI-driven features across the stack.
Integrate Large Language Models (LLMs) into core systems, applying prompt engineering techniques to power intelligent, high-performance capabilities.
Build frontend features using modern frameworks and deliver intuitive, user-centric interfaces aligned with business and product goals.
Write clean, maintainable, and testable code with strong attention to quality, observability, and scalability.
Collaborate with product, design, and engineering teams to align technical solutions with business priorities.
Drive technical design discussions, mentor other developers, and contribute to overall architectural strategy.
Take ownership of development tasks from design and implementation through deployment, monitoring, and iteration.

The Data Engineering team is a cross-functional team responsible for data integration, monitoring, and quality. This includes automating data flows, alerting, fetching, and checking across various stages of data transformation and projection.
Key Responsibilities
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Develop data architecture for data ingestion, validation, and processing.
Identify, design, and implement process improvements, such as automating manual tasks, optimizing data delivery, and redesigning infrastructure for enhanced scalability.
Create and maintain optimal data pipeline architecture using microservices.
Work with other members of the data team, including data architects, data analysts, and data scientists.
Key Takeaways
Use the tools and languages that are best suited to the job - Complete flexibility to problem-solving with novelty and creativity encouraged.
Be around very bright and lovely people.
Your intellectual curiosity and hard work contributions will be welcome to our culture of knowledge sharing, transparency, and shared fun and achievement.
Provide education and documentation to empower team members to make the most of technical resources.
Contribute to our software engineering culture of writing correct, maintainable, elegant, and testable code.
Utilize AWS services and tools such as S3, EventBridge, Athena, and DynamoDB to build a robust and scalable data architecture for data ingestion, processing, and storage.
Collaborate on data infrastructure that supports LLM-driven workflows - leveraging tools like Cursor to accelerate code development, enhance reproducibility, and streamline iteration on intelligent systems.

Were looking for a versatile, talented, and highly motivated Data Engineer to join our growing team.

If youre passionate about solving complex problems, thrive in dynamic environments, and love working at the intersection of data engineering, machine learning infrastructure, and AI innovation, this role is for you.

As a Data Engineer, youll play a key role in shaping how data flows through the company, from building scalable pipelines and robust infrastructure to powering data science models and enabling internal teams with intelligent GenAI-powered tools. This is a hands-on, high-impact role with plenty of room for ownership, creativity, and growth.

This is a high-impact role where your work will shape how the company leverages data and AI. If you want to build, innovate, and push boundaries in a collaborative and fast-moving environment, wed love to meet you.

Responsibilities
Own the entire data lifecycle from understanding business needs and building reliable pipelines to ensuring data quality, observability, and performance.
Design, build, and scale modern data infrastructure including data lakes, warehouses, and complex ETL/ELT pipelines.
Integrate and consolidate diverse data sources (CRMs, APIs, databases, SaaS platforms) into a single, trusted source of truth.
Implement and manage CI/CD, observability, and infrastructure-as-code in a cloud-native environment.
Work with the data science team on their ML pipelines, giving data scientists the infrastructure and automation they need to deploy models to production with speed and confidence.
Collaborate with cross-functional teams to embed GenAI agents into business processes, creating smart workflows that boost efficiency and reduce manual work.
Develop frameworks and internal tooling that empower other teams to safely adopt AI and accelerate innovation.
Optimize data infrastructure for performance and cost-efficiency, with a focus on BigQuery optimization.
Ensure high data quality and integrity across large-scale ETL processes. Work closely with analysts, data scientists, and product managers to support data modeling, governance, and analytical initiatives.