• Own the architecture of a specific product/domain within JetBrains Cloud Platform and evolve it over time. • Translate product and domain requirements into clear architectural designs and implementation approaches. • Define service boundaries, domain models, data flows, and integration contracts aligned with platform standards. • Drive key architectural decisions and trade-offs in your area (e.g., API design, persistence, reliability, performance, migration paths). • Ensure your domain architecture supports scalability, reliability, and observability from the outset. • Review and validate architectural designs within your domain/team, raising quality and consistency. • Collaborate with platform architects and other domain owners to align on cross-cutting decisions and shared interfaces. • Work closely with senior and staff engineers to clarify requirements, reduce ambiguity, and support execution.

Join a fast-growing global leader in cybersecurity, trusted by some of the biggest names in the industry. In addition to some of the world’s largest enterprises and government agencies, more than 30% of the world’s top MSSPs rely on our platform. We’re at the forefront of protecting organizations against sophisticated cyber threats using cutting-edge AI and automation technologies. Our culture is built on diversity, openness, and collaboration, fostering creativity and innovation that drives real impact in the market. Position Overview We are looking for a highly skilled Staff Machine Learning Software Engineer with a passion for building robust and scalable systems to power Stellar Cyber’s Open XDR platform. In this role, you will be at the forefront of data-intensive cybersecurity and machine learning software architecture innovation, responsible for developing the foundational components that enable effective and efficient cybersecurity operations for our customers. Key Responsibilities - Design and implement scalable data processing components and supporting features for Stellar Cyber’s cybersecurity applications, including but not limited to, threat detections, incident correlation, threat intelligence, and asset management. - Candidates who successfully pass all the interviews will be assigned to a project area in need. - Monitor and resolve production stability issues related to the aforementioned components and features. - Collaborate closely with machine learning / security researchers, UI / UX, and product management to ensure the design and implementation to align with evolving product needs and business goals.

Join a fast-growing global leader in cybersecurity, trusted by some of the biggest names in the industry. In addition to some of the world’s largest enterprises and government agencies, more than 30% of the world’s top MSSPs rely on our platform. We’re at the forefront of protecting organizations against sophisticated cyber threats using cutting-edge AI and automation technologies. Our culture is built on diversity, openness, and collaboration, fostering creativity and innovation that drives real impact in the market. Position Overview We are looking for a highly skilled Senior Staff Machine Learning Software Engineer with a passion for building robust and scalable systems to power Stellar Cyber’s Open XDR platform. In this role, you will be at the forefront of data-intensive cybersecurity and machine learning software architecture innovation, responsible for developing the foundational components that enable effective and efficient cybersecurity operations for our customers. Key Responsibilities - Design and implement scalable data processing components and supporting features for Stellar Cyber’s cybersecurity applications, including but not limited to, threat detections, incident correlation, threat intelligence, and asset management. - Candidates who successfully pass all the interviews will be assigned to a project area in need. - Monitor and resolve production stability issues related to the aforementioned components and features. - Collaborate closely with machine learning / security researchers, UI / UX, and product management to ensure the design and implementation to align with evolving product needs and business goals.

• Design, develop, and maintain scalable backend services using Python • Build and optimize reliable data pipelines for ingestion, transformation, and analytics • Develop and maintain RESTful APIs using FastAPI • Work extensively with Snowflake and Databricks for data storage, querying, and optimization • Collaborate with product and engineering teams to design data models, APIs, and system integrations • Ensure performance, scalability, reliability, and observability of data services • Implement best practices for code quality, testing, monitoring, and documentation • Participate in code reviews, architectural discussions, and technical decision-making • Troubleshoot and resolve production issues related to data workflows and backend services