Cloud is now one of the biggest business expenses-and one of the hardest to manage.
At our company, were not just shedding light on spend-were giving companies the power to make smarter, faster, and more strategic decisions about the cloud.
Were trusted by brands like The New York Times, Wiz, Elastic, SiriusXM, and Lyft, and backed by top-tier investors with over $85M raised. In just 4 years, weve grown to 100+ people across Tel Aviv and New York-and were just getting started.
If youre looking to build something big, solve real problems, and grow fast-wed love to meet you.
Responsibilities:
Own, enhance, and improve our companys core platform
Build and maintain systems for collecting and processing metrics from client environments
Focus on system efficiency and resilient infrastructure
Integrate well-known SaaS platforms into our companys big data repository (e.g., major cloud providers, Datadog, Snowflake)
Optimize Spark and Airflow processes
Contribute to data design and platform architecture while working closely with other business units and engineering teams
Face the challenges of testing and monitoring large-scale data pipelines.

Cloud is now one of the biggest business expenses-and one of the hardest to manage.
At our company, were not just shedding light on spend-were giving companies the power to make smarter, faster, and more strategic decisions about the cloud.
Were trusted by brands like The New York Times, Wiz, Elastic, SiriusXM, and Lyft, and backed by top-tier investors with over $85M raised. In just 4 years, weve grown to 100+ people across Tel Aviv and New York-and were just getting started.
If youre looking to build something big, solve real problems, and grow fast-wed love to meet you.
Responsibilities:
Own, enhance, and improve our company's core platform
Focus on system efficiency and resilient infrastructure
Integrate well-known SAAS platforms to our companys big data repository e.g., the major cloud providers, DataDog, and Snowflake
Optimize Spark and airflow processes
Contribute to data design and platform architecture while working closely with other business units and engineering teams
Face the challenges of testing and monitoring your large-scale data pipelines.

seeking a Software Engineer to join our Cloud Security Inventory team within the Falcon Cloud Security organization. This role focuses on building and maintaining scalable inventory systems that process and manage cloud resources across multiple cloud providers. You'll be part of a team handling high-scale data processing, serving both customer-facing and internal applications, while expanding our Cloud Security Posture Management (CSPM) capabilities.

What You'll Do:

Design and develop inventory systems processing muti millions of cloud resources daily across multiple cloud providers

Research and deep dive into cloud provider services to expand resource coverage and become a subject matter expert

Build and optimize high-throughput data collection pipelines that can handle rapid scale increases

Develop creative solutions for resource relationship mapping, efficient data storage, and real-time inventory updates at massive scale

Collaborate with cross-functional teams to understand their unique inventory needs and create scalable solutions

Participate in architectural discussions to solve complex technical challenges

Research and propose new approaches to handle growing data volumes and customer requirements

Help maintain system reliability while constantly scaling up operations

We are looking for a Senior Software Engineer to join our Decision Engineering team. The group is responsible for the real-time, low-latency infrastructure that powers our fraud decisions and external APIs.
Our systems process billions of requests every day, ensuring high availability, security, and performance at global scale.
In this role, youll work on core backend components such as our decision engine, ingestion and enrichment pipelines, schema management systems, and self-serve API platform. The software you build will power critical business decisions and directly serve some of the worlds largest merchants.
This is a high-impact, high-ownership position for an engineer who thrives on solving complex distributed systems challenges, cares deeply about production-grade quality, and wants to shape the foundation of our decisioning platform.
What you'll be doing:
Design, build, and scale backend systems that power our real-time decisioning and APIs.
Own projects end-to-end - from design and implementation to production rollout and monitoring.
Ensure systems are low-latency, fault-tolerant, and high-throughput across distributed environments.
Enhance observability, reliability, and developer experience through strong operational and tooling practices.
Collaborate with Product, analysts, data scientists, and infrastructure teams to drive innovation across our decision ecosystem.
Participate in technical discussions and customer interactions, providing expertise and clear communication when supporting enterprise integrations.

Your Role:

Lead the design and development of complex, high-performance, backend services within the One ecosystem, ensuring modularity and long-term maintainability.

Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.

Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.

Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.

Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.

Take a production-first approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.

Were growing and looking to hire a Data Platform Engineer who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
As a Data Platform Engineer, Your Impact Will Be:
Platform Modernization: Shape and develop the core technology of our Data Platform, moving from design to implementation to support AI research and business intelligence.
Scalable Pipeline Engineering: Design and build complex, distributed data pipelines that ingest, manipulate, and move data from a wide variety of sources at massive scale.
Software Excellence: Build and maintain high-performance microservices and APIs that interface with our data ecosystem, ensuring low-latency and high reliability.
Cross-Functional Collaboration: Partner closely with Software Engineering, AI Research, and Product Management to transform abstract data needs into real-world customer value.
Data Reliability: Implement best practices for data management, quality assurance, and security within our ecosystem.
ML & AI Enablement: Integrate and manage robust data flows that directly power our ML and LLM pipelines in production environments.

We are looking for a highly skilled and motivated Senior II Software Engineer to join the Operational Experience engineering team. The team is part of the Customer Experience group, which is responsible for the platform, tools, and customer-facing experiences that power how our customers interact with our ecosystem. This is a high-impact, hands-on role, in which youll be working closely with product managers, designers, customer-facing teams, and engineering partners across the company.
You will operate at the intersection of backend engineering, data-intensive systems, platform development, and customer experience. The ideal candidate brings strong expertise in Node.js and TypeScript, along with deep experience working with large-scale data stores, event-driven pipelines, data models, and high-throughput infrastructure. You will work closely with cross-functional partners to design and implement robust backend services, data-access patterns, and operational workflows that power the portal and internal tools. As we invest heavily in Agentic AI, you will also play a central role in shaping and implementing AI-driven capabilities across the platform. While the role is primarily backend, you will occasionally contribute across the full stack when it supports end-to-end delivery.
If you enjoy owning complex problems end to end, improving systems at scale, and building experiences that bring real value to customers, we would love to meet you.
What you'll be doing:
Drive technical direction and architecture within the OX team and across the broader CX organization. You will proactively identify opportunities to improve performance, resilience, cost, scalability, and developer experience, primarily in backend systems but with influence across the stack.
Lead the development of AI-driven and Agentic AI capabilities. Define how LLMs integrate into our platform, build AI-powered workflows, and establish strong engineering patterns for safe and reliable adoption.
Own and evolve the data foundations behind the portal. Optimize pipelines, improve data quality and freshness, and design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, MySQL, and related systems.
Work closely with product, design, customer-facing teams, and partner engineering groups. Turn ambiguous problems into clear execution plans and ensure alignment with customer and business goals.
Shape shared standards and platform best practices. Guide other teams on backend services, data integration patterns, portal development approaches, and AI-enabled workflows.
Mentor and elevate engineers across the CX group. Promote engineering excellence, share knowledge openly, and help teams adopt effective modern development practices.
Own delivery of high-impact initiatives. Contribute hands-on when needed, remove blockers, maintain execution momentum, and drive projects from concept to production.

we are seeking a Senior Software Engineer (Data Engineering). You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.

Responsibilities

Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.
Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.

Were looking for a Software Engineer (Data Platforms) to join the Users & Integrations team within our companys Intelligence Group. This role is built for an experienced engineer who thrives on solving complex backend challenges and scaling data pipelines.
In this role, you will take ownership of crucial user data integrations and architect the sophisticated matching logic that powers our platform from data ingestion and transformation to delivery. You will work extensively with large-scale data pipelines, translate complex algorithms into high-performance production code, and tackle massive scalability challenges to enhance the data experience for our companys customers
Where does this role fit in our vision?
Every role at our company is designed with a clear purpose. At our company, data is everything; its at the heart of everything we do. The Intelligence Group is responsible for shaping the experience of hundreds of thousands of users who rely on our data daily.
The Users Team is the engine behind our companys data connectivity, handling massive-scale user data integrations and engineering complex entity-matching logic. By translating millions of data signals and advanced algorithms into high-performance pipelines, we ensure users receive highly accurate, tailored data - optimizing their overall experience while driving the core KPIs of our Intelligence Group.
What will you be responsible for?
Designing, building, and maintaining robust, scalable ETL/ELT data pipelines and integration solutions within our companys Databricks-based environment.
Implementing and optimizing algorithms for data processing and entity resolution with a strong emphasis on delivering high-quality, high-throughput data.
Deploying data infrastructure leveraging technologies like Spark, Kafka, and Airflow to tackle complex data challenges and enhance business operations.
Designing innovative data solutions that support millions of data points, at high performance and massive scale.

The Core Platform Engineering group is looking for a passionate, talented, and strong DevOps Engineer to drive the design and development of our next-generation SaaS Management Platform and infrastructure that delivers our Liquid Software vision to thousands of organizations across all major cloud providers (AWS, GCP, & Azure).
You will work with a team of highly-skilled, passionate DevOps engineers building a cloud-native infrastructure to smoothly run our systems and automate all aspects of our engineering platform. You should be driven by technology and enjoy automation, while being passionate about customer satisfaction.
As a DevOps Engineer , you will...
Work with cutting-edge technologies, utilizing the latest tools like Kubernetes, Helm, Prometheus, Thanos, and OpenTelemetry to build next-generation SaaS platforms
Operate across major cloud providers, including AWS, GCP, and Azure to build and scale our infrastructure, while proactively identifying bottlenecks and inefficiencies to implement automation and optimization solutions
Design, deploy, and optimize Kubernetes-based environments for applications to ensure high-availability and scalability
Establish and manage comprehensive monitoring and logging systems, such as Coralogix and Grafana, to proactively identify issues and ensure full uptime in production environments
Collaborate closely with various teams across , including R&D, Product, and Security, to ensure that DevOps practices adhere to security standards and compliance requirements
Participate in technical discussions to influence the roadmap and help make key decisions regarding the successful implementation of cloud platform initiatives
Design innovative solutions for monitoring large-scale SaaS environments, keeping both application and infrastructure challenges in mind
Implement CI/CD automated processes with a heavy emphasis on monitoring tools and deployment orchestration to streamline delivery