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$ cat jobs/principal-backend-platform-engineer-cybersecurity-janea-systems-e023e62d838d.json

Principal Backend / Platform Engineer (Cybersecurity)

Janea Systems·Worldwide·Remote·senior
redispostgresazure
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Janea Systems (USA) is a dynamic team of the best & brightest software engineering specialists and solutions innovators, from around the world. From kernel to cloud, we provide high-impact software development services to Fortune 500 companies. We are seeking an exceptionally talented Principal Backend / Platform Engineer (Cybersecurity) to join our rapidly growing team. We’re building a next-generation cybersecurity product that protects users from social engineering attacks across all communication channels. The system combines a client-side agent with a cloud platform that performs real-time analysis under strict privacy constraints. This is a high-ownership role where you will design and own the cloud-side architecture, spanning real-time systems, data pipelines, and platform infrastructure. Location Fully Remote / European Residence required Compensation Salary Work Schedule Full time / Flexible working hours Reports to Head of Engineering Member of Engineering Team To be considered for this position, you must have the following qualifications: Strong experience designing distributed backend systems Deep familiarity with cloud platforms (preferably Microsoft Azure) Experience with databases such as PostgreSQL and Redis Experience building data pipelines or real-time processing systems Strong understanding of security and privacy in system design Ability to own architecture end-to-end with minimal oversight Ideal candidates will also have: Experience in cybersecurity or privacy-sensitive products Familiarity with ML/AI systems (supporting, not necessarily building models) Experience designing multi-tenant SaaS platforms Exposure to streaming systems or event-driven architectures Responsibilities: Own the cloud platform architecture end-to-end, including design, scalability, and reliability Design and implement low-latency real-time detection pipelines (client → cloud → response) Build and maintain data ingestion and processing systems ensuring high data quality

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