We are seeking a skilled Cybersecurity Engineer to join our client’s team in developing a next-generation cybersecurity product. This role focuses on building a scalable, secure, and modular platform with expertise in data ingestion, API integrations, threat detection, identity management, UI dashboards, and microservices architecture. You will play a critical role in launching our second product, working with cutting-edge technologies to deliver robust cybersecurity solutions.
Project – cybersecurity platform that combines AI-powered threat detection, secure communications, mobile defense, and cloud security. You’ll be building the core infrastructure of a multi-tenant SaaS system — including the admin portal, integrations engine, secure APIs, and real-time log forwarding — helping enterprise clients manage and protect their cloud environments with confidence and compliance.
Experience / Skills required:
Must have:
Proven experience with real-time data ingestion from cybersecurity platforms (EDR, NDR, SIEM, etc.) and expertise in Kafka, Tenzir, or similar stream processing tools Familiarity with OCSF or data normalization frameworks Strong background in building REST, GraphQL, and Webhook-based APIs Experience with platforms like CrowdStrike, SentinelOne, Palo Alto, Fortinet, Zscaler, Azure/M365 Defender, and Okta Proficiency in modular connector and plugin design Hands-on experience with rule-based or graph-based correlation engines, machine learning for anomaly detection, and automation triggers for response actions Expertise in OAuth2.0, OpenID Connect, SAML, RBAC, and multi-tenant access policies. Knowledge of token-based API authentication Experience developing customizable, interactive dashboards with cybersecurity-specific visualizations (e.g., MITRE ATT&CK mappings, threat timelines) Proficiency in microservices, Kubernetes, Docker, and CI/CD pipelines Familiarity with secure development practices and compliance standards (SOC 2, ISO 27001, FedRAMP) Strong problem-solving skills and ability to work in a fast-paced, collaborative environment Upper-Intermediate English and betterGood to have:
Experience with advanced machine learning models for cybersecurity applications Familiarity with additional cybersecurity frameworks or compliance standards Contributions to open-source projects or custom connector developmentResponsibilities:
Design real-time data ingestion pipelines using Kafka, Tenzir, or similar, with OCSF normalization for scalability Build secure REST, GraphQL, and Webhook APIs with integrations for platforms like CrowdStrike and Okta Develop modular connectors and plugins for seamless, bi-directional system integrations Create rule-based or graph-based correlation engines with machine learning for anomaly detection Implement automation triggers for response actions like isolating devices or blocking IPs Integrate OAuth2.0, OpenID Connect, SAML, and RBAC for secure, multi-tenant authentication Develop customizable dashboards with MITRE ATT&CK mappings, threat timelines, and drill-down features Maintain a microservices architecture on Kubernetes/Docker with CI/CD and SOC 2/ISO 27001 complianceWe offer:
Competitive salary with the regular review Vacation (up to 20 working days) Paid sick leave (10 working days) National Holidays as paid time off Flexible working schedule, remote format Direct cooperation with the customer Dynamic environment with low level of bureaucracy and great team spirit Challenging projects in diverse business domains and a variety of tech stacks Communication with Top/Senior level specialists to strengthen your hard skills Online teambuildings Your name Your email Subject Your message (optional)