דרושים » תוכנה » Platform Team Lead

As a Backend Team Lead (Platform) , you will lead a critical cross-functional team focused on building and evolving the core infrastructure that powers our Big Data, Marketing Tech, CRM, and Data Science initiatives.

You will drive technical strategy, mentor engineers, and work closely with R&D, Product, and Data Science teams to deliver high-performance, scalable, and innovative platform solutions.




What You'll Be Doing

Lead and grow a high-performing platform engineering team.
Design, develop, and maintain scalable backend systems, ensuring stability, performance, and operational excellence.
Build core services and infrastructure that enable Marketing, Data Science, CRM, and Engineering teams to move faster and smarter.
Drive platform initiatives around Big Data processing, event-driven architectures, and distributed systems.
Partner with stakeholders across the company to understand evolving business needs and translate them into technical solutions.
Champion innovation by evaluating and integrating new technologies, frameworks, and practices that elevate our product and internal capabilities.
Maintain a high bar for code quality, security, and scalability.
Provide hands-on technical leadership guiding design, code reviews, and system architecture discussions.
Foster a culture of learning, collaboration, and continuous improvement.

A fast-growing, well-funded startup in the data domain is looking for a Software Development Team Lead to lead a team of engineers, reporting to the Director of Engineering. As a Software Development Team Lead, you’ll lead a team of back-end, full-stack, and data engineers, working closely with Product Managers and other stakeholders to plan, kickoff, and execute new product and feature development projects. Our ideal candidate is someone who values excellence, is hungry for success, and thrives when working with the best. Job Summary: As an Software Development Team Lead, you'll be responsible for overseeing the design, development, and implementation of robust software solutions, including strategic full-stack applications and our big data architecture. You'll lead a team of engineers and collaborate with cross-functional teams to drive initiatives that support business objectives. Your expertise in big data technologies, including Elastic, Kafka, and Java, will be critical in ensuring the scalability and performance of our systems. What you’ll do:
? Lead and mentor a team of engineers in the design and development of software solutions, including big data solutions and full-stack applications. ? Architect and implement data processing pipelines ? real-time data streaming. ? Optimize and manage search capabilities. ? Develop strategic full-stack applications to meet business needs. ? Collaborate with product managers, data analysts, and other stakeholders to gather requirements and translate them into technical specifications. ? Oversee code reviews, ensure best practices in coding and data handling, and maintain high-quality standards in software development. ? Stay up-to-date with emerging trends and technologies in software engineering and big data, and recommend improvements to our architecture and processes. ? Troubleshoot and resolve issues in a timely manner to minimize downtime and ensure system reliability. ? Contribute to strategic planning and decision-making regarding architecture and tools. ? Collect and analyze your team’s KPIs. ? Participate in customer calls, understand their use cases, and solve their problems. ? Collaborate with software teams across different locations.

we are looking for a Senior Data Engineer
What You'll Do:

Shape the Future of Data - Join our mission to build the foundational pipelines and tools that power measurement, insights, and decision-making across our product, analytics, and leadership teams.
Develop the Platform Infrastructure - Build the core infrastructure that powers our data ecosystem including the Kafka events-system, DDL management with Terraform, internal data APIs on top of Databricks, and custom admin tools (e.g. Django-based interfaces).
Build Real-time Analytical Applications - Develop internal web applications to provide real-time visibility into platform behavior, operational metrics, and business KPIs integrating data engineering with user-facing insights.
Solve Meaningful Problems with the Right Tools - Tackle complex data challenges using modern technologies such as Spark, Kafka, Databricks, AWS, Airflow, and Python. Think creatively to make the hard things simple.
Own It End-to-End - Design, build, and scale our high-quality data platform by developing reliable and efficient data pipelines. Take ownership from concept to production and long-term maintenance.
Collaborate Cross-Functionally - Partner closely with backend engineers, data analysts, and data scientists to drive initiatives from both a platform and business perspective. Help translate ideas into robust data solutions.
Optimize for Analytics and Action - Design and deliver datasets in the right shape, location, and format to maximize usability and impact - whether thats through lakehouse tables, real-time streams, or analytics-optimized storage.
You will report to the Data Engineering Team Lead and help shape a culture of technical excellence, ownership, and impact.

Required Big Data & GenAI Engineering Lead
As a Big Data & GenAI Engineering Lead within our Data & AI Department, you will play a pivotal role in building the data and AI backbone that empowers product innovation and intelligent business decisions. You will lead the design and implementation of our next-generation lakehouse architecture, real-time data infrastructure, and GenAI-enriched solutions, helping drive automation, insights, and personalization at scale. In this role, you will architect and optimize our modern data platform while also integrating and operationalizing Generative AI models to support go-to-market use cases. This includes embedding LLMs and vector search into core data workflows, establishing secure and scalable RAG pipelines, and partnering cross-functionally to deliver impactful AI applications.
As a Big Data & GenAI Engineering Lead you will...
Design, lead, and evolve our petabyte-scale Lakehouse and modern data platform to meet performance, scalability, privacy, and extensibility goals.
Architect and implement GenAI-powered data solutions, including retrieval-augmented generation (RAG), semantic search, and LLM orchestration frameworks tailored to business and developer use cases.
Partner with product, engineering, and business stakeholders to identify and develop AI-first use cases, such as intelligent assistants, code insights, anomaly detection, and generative reporting.
Integrate open-source and commercial LLMs securely into data products using frameworks such as LangChain, or similar, to augment AI capabilities into data products.
Collaborate closely with engineering teams to drive instrumentation, telemetry capture, and high-quality data pipelines that feed both analytics and GenAI applications.
Provide technical leadership and mentorship to a cross-functional team of data and ML engineers, ensuring adherence to best practices in data and AI engineering.
Lead tool evaluation, architectural PoCs, and decisions on foundational AI/ML tooling (e.g., vector databases, feature stores, orchestration platforms).
Foster platform adoption through enablement resources, shared assets, and developer-facing APIs and SDKs for accessing GenAI capabilities.

Were looking for a Senior Backend Engineer - Data Infrastructure to design and optimize high-performance infrastructure capable of handling massive data volumes. In this role, youll lead backend development, architect scalable data pipelines, and ensure seamless data processing. Your expertise in distributed systems and performance optimization will drive innovation, transforming intricate security challenges into efficient, resilient solutions.

Responsibilities
Be a significant part of the development of backend infrastructure to efficiently handle, process, and store vast volumes of data.
Architect and build a scalable, high-performance backend system that supports various services within the platform.
Translate intricate requirements into meticulous backend design plans, maintaining a focus on software design, code quality, and performance.
Collaborate with cross-functional teams to implement backend and data-handling techniques.
Apply your expertise to create robust backend solutions.
Leverage your proficiency in cloud platforms such as AWS, GCP, or Azure to drive strong backend engineering practices.
Demonstrate strong debugging skills, identifying issues such as race conditions and memory leaks within the backend system. Solve complex backend problems with an analytical mindset and contribute to a positive team dynamic.
Bring your excellent interpersonal skills to foster collaboration and maintain a positive attitude within the team.

We are looking for a Team Leader to head our Design System initiative within the Network Orchestration group. This group is responsible for developing scalable, high-performance distributed systems that support complex network infrastructures, and the Design System will play a central role in ensuring consistent, efficient, and accessible UI across our products. As the Design System Team Leader, you will own the vision, strategy, and delivery of our reusable component library. You will lead and mentor a team of developers, collaborate closely with designers, architects, and other engineering leaders, and drive the adoption of the Design System across the organization. This is both a strategic and hands-on role: youll guide architectural decisions, oversee technical direction, and ensure high-quality, maintainable code - while fostering an environment of innovation, collaboration, and excellence. Our group is growing, and you will play a key role in building and expanding the team. You'll have the opportunity to optimize and enhance key parts of our system, leveraging the latest tools and infrastructure to drive innovation and efficiency. We embrace an agile mindset you should be comfortable with context switching, handling multiple priorities, and adapting quickly to changing requirements.
Key Responsibilities
Define the vision, roadmap, and priorities for the Design System, aligning with product and engineering goals.
Lead, mentor, and grow a team of frontend developers, fostering a culture of collaboration, quality, and innovation.
Own the delivery of the Design System - ensuring it meets performance, scalability, and accessibility requirements.
Act as the primary advocate for the Design System across the company, driving awareness and adoption.
Oversee the architecture, design, and implementation of reusable, scalable, and accessible UI components.
Make high-impact technical and architectural decisions to guide the evolution of the Design System.
Set coding standards, best practices, and review processes to ensure maintainable, high-quality code.
Balance technical debt with feature delivery, ensuring long-term system sustainability.
Partner closely with design teams to translate guidelines into robust, production-ready components.
Collaborate with engineering managers and product teams to ensure the Design System supports diverse application needs.
Communicate progress, risks, and priorities to stakeholders at all levels.
Establish and enforce testing strategies for all components, including unit, integration, E2E, and visual regression testing.
Ensure compliance with accessibility standards (WCAG/ARIA).
Maintain comprehensive documentation using Storybook.
Continuously improve development processes, workflows, and tooling.

Required Staff Software Engineer
We have transformed the corporate travel, payment, and expense landscape by consistently prioritizing user needs. As a Staff Engineer in the Flights group, you will play a crucial role in architecting and delivering the next-generation flight platform, which serves as the companys flagship product and drives the majority of our global business. Operating at high scale, you will tackle highly complex problems and collaborate closely with a broad array of stakeholders, including fellow engineers, product managers, designers, and business leaders worldwide. As part of a global, cross-functional team, youll contribute to a core product used by enterprises around the globe, ensuring our solutions have far-reaching impact and maintain our leadership in the market.
What Youll Do:
Drive Large-Scale Architecture & Technical Vision: Lead the design and evolution of scalable, high-performance architectures and core services at the heart of our flagship, global platform. Set the technical direction and orchestrate cross-team initiatives to address highly complex and mission-critical challenges that shape the companys most impactful product.
Deliver High-Impact Solutions: Own the delivery of key product features and foundational services that power the core business. Work closely with a diverse group of stakeholders to ensure new capabilities deliver meaningful outcomes for the global customer base.
Lead Through Influence & Mentorship: Act as a technical leader and mentor, inspiring excellence in engineering teams through best practices in system design, code quality, performance, reliability, and scalable architecture. Foster adoption of new technologies and cultivate a culture of continuous improvement.
Ensure Operational Excellence: Champion product and system quality, including hands-on involvement in feature monitoring, performance analysis, and rapid issue resolution post-launch. Proactively plan for scalability and optimize for long-term reliability and maintainability.
Collaborate Across Boundaries: Drive technical alignment and deep collaboration across multiple teams and domains, navigating business and technical complexity to deliver cohesive solutions for a flagship global product.

we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.
In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside across the globe who are bright, curious, practical and good people.
What Youll Do:
Youll be part of the group responsible for main products. You will impact the work of developers in the group by designing, building and maintaining the core infrastructure of our solution and leading the research and development of new technologies as well as maintaining code standards and practices.
What does the day to day of Infrastructure Engineer at look like:
You will be working on core B2B platform that serves tens of thousands of customers, serving hundreds of terabytes in production. Our backend engineers are responsible for the entire data lifecycle - from our endless datatlakes, through choosing the right serving methods and databases, all the way to our api services.

Your role will include:
Design and implement scalable backend services and libraries that are reusable and maintainable, serving as the foundation for various applications across the company.
Build and maintain tools that streamline development workflows, enabling product teams to focus on delivering business value.
Define and promote best practices for code quality, performance, and reliability, ensuring healthy production environments and rapid development cycles.
Lead the adoption and integration of AI tools to assist in code generation, testing, documentation, and debugging, thereby accelerating development processes.
Perform proof-of-concepts (POCs) on emerging technologies, including AI agents and platforms, to assess their applicability and benefits to our development ecosystem.
Drive cross-team technical projects aimed at improving infrastructure scalability, reliability, and developer experience.
Analyze and resolve complex production issues, ensuring minimal downtime and optimal performance.
Contribute to the evolution of our system architecture, ensuring it supports rapid development and scaling needs.

We are looking for a UI Platform Team Lead to join our Network Orchestration group. Our group is responsible for developing scalable, high-performance distributed systems that support complex network infrastructures.
As a Team Leader, you will drive the architecture, design, and development of core UI infrastructures and component libraries that support multiple development teams. You will lead a team of 4+ frontend engineers, define best practices, and ensure the scalability and maintainability of the UI architecture. This role requires a combination of technical expertise, leadership, and strategic vision.
Our group is growing, and you will play a key role in building and expanding the team. You'll have the opportunity to optimize and enhance key parts of our system, leveraging the latest tools and infrastructure to drive innovation and efficiency.
We embrace an agile mindset you should be comfortable with context switching, handling multiple priorities, and adapting quickly to changing requirements.
Responsibilitie
Lead & mentor a high-performing development team in building advanced, scalable software solutions.
Lead the development and maintenance of reusable UI components, design systems, and frontend tooling.
Architect and optimize UI frameworks to ensure high performance, scalability, and maintainability.
Collaborate closely with development teams to provide seamless integration across applications.
Work closely with QA to implement best practices for testing and automation, ensuring high software quality and reliability.
Coordinate with Product Managers to align development with business priorities and roadmap planning.
Engage with UI/UX Designers to ensure an intuitive and high-quality user experience.
Work alongside the Project Manager to track progress, mitigate risks, and ensure timely delivery of features.
Define and enforce best practices, coding standards, and architectural guidelines for frontend development.
Stay updated with industry trends and emerging technologies to drive innovation in UI infrastructures.
Ensure cross-browser compatibility for all UI components.
Identify bottlenecks and optimize the frontend build process for improved developer experience.
Work with CI/CD pipelines to automate testing, deployment, and monitoring of UI libraries.

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 infrastructuresomeone 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 stacksits 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 lakesdesigned 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.