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we are currently looking for a full-time, permanent Technical Writer to join our team. You will create, author, and organize content and procedures that clearly explain our products and features to customers. You must have excellent writing skills, organizational skills, and be able to work with your co-workers in an Agile cloud environment.
Responsibilities:
Create Knowledge Base articles that explain the overview of the feature, and procedures to configure it
Work as part of the Product Docs team and the larger Product team to support Catos vision to deliver the best SASE experience and service to our customers
The Cato Cloud is updated every week - you need to make sure that the documentation and Release Notes are ready for the new or updated features
Challenge yourself and grow as a Technical Writer, Cato employee, and human being.

We are looking for a talented and passionate Team Leader to join our Infinity Identity R&D group and play a key role in shaping our new cloud identity offering.
Job Id: 24154
Do you have experience leading and mentoring engineers, building scalable cloud-native microservices, and driving complex projects from design to production?
Are you excited about tackling cutting-edge technological challenges while empowering your team to grow and succeed? If so, we want you!
Our technology stack includes Microservices, Kubernetes, AWS Cloud Technologies, Postgres, Redis, and more.
Key Responsibilities
Leading a development team in an agile environment.
Rapidly deliver high-quality, scalable, enterprise-ready SaaS applications.
Measure, analyze, and improve existing software to enhance performance and functionality.
Research and suggest new technologies to improve scale and performance.
Work closely with other groups and stakeholders to manage requirements and priorities.

This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an office.

We are looking for a talented Data Engineer to help build and enhance the data platform that supports analytics, operations, and data-driven decision-making across the organization. You will work hands-on to develop scalable data pipelines, improve data models, ensure data quality, and contribute to the continuous evolution of our modern data ecosystem.

Youll collaborate closely with Senior Engineers, Analysts, Data Scientists, and stakeholders across the business to deliver reliable, well-structured, and well-governed data solutions.


What Youll Do:

Engineering & Delivery

Build, maintain, and optimize data pipelines for batch and streaming workloads.

Develop reliable data models and transformations to support analytics, reporting, and operational use cases.

Integrate new data sources, APIs, and event streams into the platform.

Implement data quality checks, testing, documentation, and monitoring.

Write clean, performant SQL and Python code.

Contribute to improving performance, scalability, and cost-efficiency across the data platform.

Collaboration & Teamwork

Work closely with senior engineers to implement architectural patterns and best practices.

Collaborate with analysts and data scientists to translate requirements into technical solutions.

Participate in code reviews, design discussions, and continuous improvement initiatives.

Help maintain clear documentation of data flows, models, and processes.

Platform & Process

Support the adoption and roll-out of new data tools, standards, and workflows.

Contribute to DataOps processes such as CI/CD, testing, and automation.

Assist in monitoring pipeline health and resolving data-related issues.