Software Engineer, Data Solutions (Data Platform Group)

Welcome to the future of cloud networking and security!

Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato's unique technology inspired a brand-new product category, later named "SASE" by Gartner and a market expected to reach $28.5 billion by 2028.

This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader - don't miss it!

We're looking for an experienced Software Engineer to join our Data Platform Group. In this key role, you will build the company data platform: cloud-based microservices and data pipelines that process on the order of 1M records/sec at low latency. Because the platform is the foundation other groups build on, your work has a direct impact on our customers and enables engineering, product, and research teams across the organization.

The Solutions team is the team that takes a data need from a business question to a production capability. We work end-to-end and across the whole platform - streaming and lakehouse alike - and we own the layers that turn raw data into something the rest of the company can actually use: the self-service data layer, our data processing policy layer, and an agent-based query engine that composes business logic into queries. The role is unusually broad: you'll go deep on business requirements with stakeholders one week and deep on stream processing internals the next.

Responsibilities

• End-to-end delivery of data projects, from understanding the business need to a production service, spanning both our streaming and lakehouse layers.
• Build and evolve our self-service data layer so that teams across the company can access and work with platform data independently.
• Develop our data processing policy layer, which lets users define the rules that drive processing on top of raw data - how raw records are aggregated and how those aggregations are broken down.
• Design and develop our agent-based business-logic composer and query engine, which translates business logic into executable queries over our analytical stores.
• Design data contracts and schemas across services, including Protobuf-based event schemas and their evolution.
• Research new technologies and adapt them for use in the company's product.
• Work closely with product, DevOps, security, and the other teams in the Data Platform Group.

Requirements

• 4+ years of hands-on experience designing and developing production distributed systems and large-scale data platforms.
• Strong Java and hands-on experience with Go. We build in both.
• Expertise in at least one of the following, at a significant scale:
• Distributed messaging and stream processing: Kafka/MSK, SQS, or similar,
• Practical experience querying and modeling data in an analytical/columnar database. ClickHouse is an advantage.
• Experience building with LLMs or agentic frameworks.
• Familiarity with Parquet-based data lakes is an advantage.
• Experience defining schemas and interfaces with Protobuf, or a comparable schema-driven serialization format.
• Deep understanding of object-oriented programming and software engineering principles, and the design trade-offs involved - streaming vs. batch, ordering, delivery guarantees, and idempotency.
• Ability to work directly with stakeholders: translating business requirements into technical design, and pushing back with a better alternative when the requirement and the platform don't fit.
• Experience building and running microservices on Kubernetes.
• Hands-on experience with the AWS platform.
• Motivated, fast, independent learner and strong problem solver.
• A team player with excellent collaboration and communication skills.
• B.Sc. in Computer Science, Software Engineering, or a related field, or equivalent practical experience.