Top Tech Jobs & Startup Jobs

Conduct threat research and malware analysis to identify TTPs, create detection rules (e.g., YARA), develop automation tools, produce technical write-ups, and collaborate with product and engineering teams to integrate cross-product intelligence and mitigations.

Lead SRE responsible for enterprise incident management and reliability: serve as Incident Commander, drive restoration and RCA, design automation and self-healing, improve observability/SLOs, lead capacity planning, mentor SREs, and influence reliability strategy.

Design, prototype, and build distributed, high-performance Spring Boot microservices. Connect services to relational and NoSQL databases, use Kafka for streaming, Elasticsearch for indexing, and caching (Redis/Memcached). Follow SDLC and Continuous Delivery practices (Kubernetes/AKS/Docker). Debug production issues and leverage AI-assisted coding tools for faster delivery.

Design, prototype, and implement distributed, high-performance microservice applications for a scalable SaaS cloud security platform. Develop cloud-native solutions across public clouds, write unit/integration tests, document designs, and work with indexing and caching technologies to process large-scale transactions and data.

Lead the architecture and development of a cloud-security platform focusing on identity management, collaborating with various teams and mentoring engineers.

Responsible for the reliability and performance of Oracle RAC environments, ensuring high availability and driving optimizations. This role involves mentoring, collaboration across teams, and strategic improvements for database stability.

Lead automation, scripting, and AI tooling for compliance workflows. Design production-grade scripts and ensure compliance with frameworks like NIST and CIS.

As a Senior Software Engineer, you'll analyze, design, and develop security software, providing ongoing maintenance and improvements while ensuring best practices are followed.

Lead and scale a Strategic and Enterprise sales organization across France and French-speaking countries. Build, coach, and manage a team to source, qualify, negotiate, and close large SaaS/PaaS deals, set segmentation and quotas, drive forecasting and pipeline management, and partner cross-functionally to accelerate new customer acquisition.

Design and implement scalable AI/ML models, optimize algorithms, build data pipelines, and manage real-world datasets while ensuring model effectiveness.