דרושים » אבטחת מידע וסייבר » Senior Software Engineer, Research Engineering

a Senior Data Engineer to join its Research Engineering team. The Research Engineering teams mission is to enable research needs. We succeed when our research analysts, data scientists, and engineers have access to the data, tools, knowledge, and support to do their jobs painlessly and efficiently.

We build the foundational infrastructure and key applications that allow internal users to derive actionable insights from vast data. Both enablingand runningBig Data processing at the scale of hundreds of TB is a core part of what our team does, but were not just a Big Data team. We work across the tech stack in support of our mission to enable data-driven research and investigation, from back-end to front-end to data stores.

What you'll be doing:

Design, build, and maintain foundational infrastructure and key applications that allow people to effectively leverage proprietary and public data
Use modern technologies daily, such as: Snowflake, Databricks, Apache Spark, Elasticsearch, AWS, Kafka, and more
Expand and optimize data warehouse and lakehouseweighing tradeoffs between performance, cost, and user experienceacross continually larger and more complex datasets
Model data and define storage strategy, to ensure that data is intuitive for researchers to find, and easy and fast for them to access
Enhance analysts most-used web application, which gives them in-depth insight into every decision we make
Collaborate directly with colleagues from various disciplines: Analysts, Data Scientists, and other Engineers (all of whom write production code!)
Self-manage project planning, milestones, designs, and estimations
Hold yourself and others to a high standard when working with production systems. We take pride in our tests, monitoring & alerting abilities just as we do with our systems.
Debug complex problems across the whole stack

we are looking for a Strong Software Engineer, with a focus on backend development and data engineering, to join its Research Engineering team. The Research Engineering teams mission is to enable data-driven innovation across R&D. We succeed when our research analysts, data scientists, and engineers have access to the data, tools, knowledge, and support to do their jobs painlessly and efficiently.

We build the foundational infrastructure and key applications that allow internal users to derive actionable insights from vast data. Both enablingand runningBig Data processing at the scale of hundreds of TB is a core part of our team, but were not just a Big Data team. We work across the tech stack in support of our mission to enable data-driven research and investigation, from back-end to front-end to data stores.

What you'll be doing:

Design, build, and maintain foundational infrastructure and key applications that allow people to leverage proprietary and public data effectively
Use modern technologies daily, such as Snowflake, Databricks, Apache Spark, Elasticsearch, AWS, Kafka, and more.
Expand and optimize data warehouse and lakehouseweighing tradeoffs between performance, cost, and user experienceacross continually larger and more complex datasets.
Model data and define storage strategy, to ensure that data is intuitive for researchers to find, and easy and fast for them to access
Enhance analysts most-used web application, which gives them in-depth insight into every decision we make
Collaborate directly with colleagues from various disciplines: Analysts, Data Scientists, and other Engineers (all of whom write production code!)
Self-manage project planning, milestones, designs, and estimations
Hold yourself and others to a high standard when working with production systems. We take pride in our tests, monitoring & alerting abilities just as we do with our systems.
Debug complex problems across the whole stack.

We seek an experienced Software Engineer with a strong background to become an integral member of our Data-Core team, tasked with the mission of processing, structuring, and analyzing hundreds of millions of data sources.
Your role will be pivotal in creating a unified, up-to-date, and accurate utilities map, services, and applications for accelerating our mapping operations. Your contributions will directly impact our core product's success.
Responsibilities:
Collaborate with cross-functional teams to design, build, and maintain data processing pipelines while contributing to our common codebase.
Contribute to designing and implementing data architecture, ensuring effective data storage and retrieval.
Develop and optimize complex Python-based applications and services to allow more efficient data processing and orchestration, enhancing the quality and accuracy of our datasets.
Implement geospatial data processing techniques and contribute to the creation of our unified utilities map, enhancing the product's geospatial features.
Drive the scalability and performance optimization of data systems, addressing infrastructure challenges as data volume and complexity grow.
Create and manage data infrastructure components, including ETL workflows, data warehouses and databases, supporting seamless data flow and accessibility.
Design and implement CI/CD processes for data processing, model training, releasing, testing and monitoring, ensuring robustness and consistency.

Our Billing Platform is the backbone of every product we launch and every key deal we close. You will play a critical role in shaping the infrastructure that drives our billing processes, directly impacting revenue and growth.

As we continue to scale and introduce new products, were looking for passionate engineers who are eager to take ownership of complex systems and make a significant impact.

If you're excited about designing and building robust, scalable systems, wed love for you to join us in shaping the future of Billing infrastructure.
What you'll be doing:
Design, build, and maintain scalable and resilient systems that handle high-volume data, while collaborating with teammates and individual contributors at Forter
Take ownership of projects, from concept to production, ensuring the highest quality
Work on data-driven initiatives that improve system performance, efficiency, and billing accuracy
Work with Product Managers to define features and scope, guiding technical decisions and trade-offs, to align with company goals.
Collaborate in an environment involving various stakeholders within the company
Help foster best practices and mentor team members to maintain a high standard of engineering excellence

Were growing and looking to hire a Data Team Leader who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
We are seeking a Data Team Leader with strong technical expertise and a flair for innovation to join our dynamic Data Science and Analytics group. You will play a key role in advancing solution by crafting and sustaining the data collection infrastructures, including cutting-edge LLM data pipelines and web collection frameworks, along with data alliances.
This role requires a visionary leader who is both hands-on and proactive, able to collaborate closely with analysts, data scientists, and product teams to devise scalable solutions. Your mission will be to ensure data reliability and to drive the creation and maintenance of high-scale data collection systems, manage data alliances, and uphold governance within our data collection infrastructure.
Responsibilities:
As Data Team Leader, Your impact will be:
Leading and scaling a team of talented LLM engineers, network analysts, and web scrapers to drive core data initiatives.
Fostering a culture of innovationpromoting continuous learning and high engineering standards.
Defining data collection strategies aligned with business KPIs and ensuring measurable impact.
Maintaining and evolving our data infrastructure, with a strong focus on automation and efficiency.
Working closely with backend developers, PMs, data scientists, analysts, and external data partners to design and deliver robust data solutions.
Integrating and managing data flows across various sources and systems.
Taking ownership of data alliances, budgets, and overall data strategy.

Required Backend Engineer
Join us to be a part of something meaningful. We are transforming transportation worldwide, helping cities become smarter, greener, and more connected. From redefining daily commutes to tackling humanitys environmental challenges, our vision is bold and we need exceptional minds like yours to make it happen.
As a Backend Engineer, youll be a vital part of our TLV-based R&D team. Together, we design, build, and scale cutting-edge backend systems that power our global operations. Youll thrive in a culture that blends innovation, collaboration, and agility, where your work will directly impact the lives of countless individuals and transform how communities move.
What Youll Do:
Design, implement, and maintain state-of-the-art microservices from conceptualization to production.
Take full end-to-end ownership of new product features and systems.
Play a key role in shaping system architecture, making top-level technical decisions, and driving product developments that scale across the globe.
Write high-quality, scalable, and efficient code to ensure world-class performance and uptime.
Collaborate with a cross-functional, agile team of talented engineers, designers, and product managers, all driven to build products that grow value for users.
Continuously learn, champion, and implement the latest technologies and practices to maintain a cutting-edge stack.
Advocate for clean code and industry best practices to maintain and elevate standards across the codebase.
Explore and research new technologies, proactively suggesting the tools or processes that will help drive innovation and excellence in our platform.
Mentor and support team members, sharing expertise and growing technical knowledge within your team.

As part of the Data Infrastructure team, youll help build our companys data platform for our growing stack of products, customers, and microservices.
Our platform ingests and processes data from operational databases, telematics, and diverse product sources. Youll build robust backend services and data processing pipelines, leveraging state-of-the-art frameworks and cloud-native solutions, all while collaborating with Data Engineers, ML Engineers, Analysts, and Product Managers to turn real-world needs into resilient systems.
In this role youll
Design & Develop Backend Services: Lead the design and implementation of backend systems and APIs for our distributed data platform
Build Data Ingestion & Processing: Architect and develop scalable ingestion pipelines with streaming ETL, Change Data Capture, and large-scale batch and stream processing
Own Data Platform Infrastructure: Implement and optimize scheduling, workflow orchestration, and data governance tools to support high-quality, compliant data flows
Drive Engineering Standards: Establish and promote backend best practices, ensuring high reliability, code quality, and maintainability across the team
Cross-functional Collaboration: Work closely with data engineers, ML engineers, product managers, and analysts to translate business needs into scalable backend systems
Mentorship: Share your backend and infrastructure expertise by collaborating, reviewing, and mentoring fellow engineers.

we are looking for a talented and creative Senior Security Researcher with experience conducting low and high level research on Browsers to join our Cyber R&D.

Our Javascript SDK runs on 100M+ users worldwide everyday. It collects advanced and unique digital intelligence data points that help catch the bad guys. It is highly performant and maintains strict privacy standards, running on a very broad device and browser landscape.

Data points created by SDK feed our rich data aggregation and enrichment systems, allowing for extremely high and accurate decision making. Very high scale data streams produced by the SDK are handled by servers which are also written and maintained by our team, and youll take part in owning those systems too.

What you'll be doing:

Lead Web/Browsers research in the team.
Research new methods and mechanisms for collecting data, design and develop for the SDK, making it bulletproof and highly performant, and push the new features value in the organisation.
Research the ins and outs of Browser APIs and how they work under the hood, investigate lesser known features and understand upcoming new features.
Take ownership of the entire data flow process - from concept to implementation.
Collaborate closely with analytics and engineering teams to produce value for the company.
Deliver and deploy the SDK to thousands of merchants, 100M+ users every day, making sure its safe, stable, does not interfere with user experience, or website functionality.
Make sure we keep up to date with all the latest browser technologies and changes, important Web standards, features and protocols, security and privacy requirements etc.

Were looking for a Senior Backend Data Engineer 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 seeking a talented backend engineer to join our growing team, owning our innovative product, Code Defender. Code Defenders mission is to detect and protect against client-side threats and enable our customers to be compliant with the latest security and privacy standards.
As a member of the team, you will play a crucial role in ensuring the product's success, by designing and developing advanced features, handling large-scale data, aggregations, while utilizing cutting edge technologies.
Collaboration with cross-functional teams including Platform, Product, Engineering, and Research will be integral as you lead feature development from inception through to deployment, applying backend methodologies and best practices.
What you'll do:
Develop cloud-based high-scale systems: Leverage the latest in cloud technology to build systems that can handle the demands of significantly large datasets with efficiency and reliability.
E2E Ownership: Take full responsibility for projects from the initial design and architecture stages through to implementation and rollout,
Innovate and Optimize Operations: Continuously seek out and implement innovations and optimizations to improve the performance and scalability of our systems.
Tackle challenging problems and find creative ways to solve them.
Participate in cross organization engineering innovation forums and technical guilds.
Collaborate on cross-functional teams: Work closely with other technical and research teams to integrate various products seamlessly, ensuring cohesive technology solutions across the board.
Ensure System Security and Compliance: Prioritize the security of our systems and ensure compliance with all relevant data protection regulations.
Performance Monitoring and Troubleshooting: Regularly monitor system performance, identify and resolve any issues to maintain optimal operation.
Work on cutting-edge technologies in coding, data persistence, CI/CD pipelines, and data pipelines. This includes expertise in any of the common backend development languages, SQL and NoSQL databases like MongoDB and Redis, messaging systems such as Kafka, search technologies like Elastic, and cloud services.