Software Engineer (Data Platform)

Zero Networks is a fast-growing cybersecurity startup redefining how organizations protect themselves. Our Data Team is at the heart of that mission - powering everything from security insights to customer-facing intelligence. We are looking for a Software Engineer to help design and develop the core services and applications that drive our data capabilities. In this role, you will build high-quality, scalable software; contribute to the architecture of our next-generation data systems; and collaborate with research and product teams to turn cutting-edge ideas into production-ready features.

Responsibilities:

• Design, develop, and maintain scalable backend services and components that power our data workflows, analytics, and product features.

• Build high-quality internal tools and applications that improve engineering workflows and enable data-driven development across the organization.

• Contribute to the architecture and evolution of our new data platform with a strong focus on clean design, testability, maintainability, and performance.

• Collaborate closely with security researchers, analysts, and product managers to translate innovative cybersecurity concepts into reliable, production-ready software.

• Apply engineering best practices across the stack — including code quality, testing, observability, versioning, and documentation — to ensure system robustness as we scale.

Requirements:

• B.Sc Computer Science or a related technical field (or equivalent work experience).

• 3+ years of experience as a Software Engineer, Backend Engineer, or Data Platform Engineer.

• Strong, hands-on development experience in Python as part of a production engineering team.

• Experience designing, implementing, testing, and deploying production-grade backend services, including API design, data models, and modular architectures.

• Basic understanding of CI/CD practices, automated testing, containerized development, and operating software in production environments.

• Experience with K8s & cloud-based environments (GCP preferred) - advantage.

• Experience with modern data platform concepts (data lakes, metadata layers, analytical engines) - advantage.