The world’s most advanced VPN, and a whole lot more.
If you’re a curious problem-solver who carves their own path, join the team behind Threat Protection Pro, the NordLynx protocol, and the fastest VPN on the planet—tools that put privacy, security, and control back in people’s hands.
Your impact? Helping millions take back control of their online security, privacy, and data.
Main Responsibilities:
- Define and maintain the long-term technical vision for data curation, ingestion, and processing platforms within the Threat Intelligence domain, ensuring architectural consistency and sustainable system evolution.
- Lead the design of large-scale distributed systems, including computing pipelines, microservices, data contracts, and storage solutions, while ensuring reliability, scalability, and security.
- Conduct comprehensive architectural, design, and high-level code reviews, upholding engineering standards, architectural consistency, security requirements, and data quality controls.
- Collaborate with product, engineering, and leadership stakeholders to align architectural direction with organizational strategy and business priorities.
- Provide technical leadership and mentorship to engineers across teams, supporting their development, removing blockers, and reinforcing best practices.
- Identify, prioritize, and remediate technical debt, performance bottlenecks, and reliability risks across the platform.
- Strengthen engineering processes by supporting robust testing practices, CI/CD improvements, rigorous documentation culture, deployment reliability, and operational excellence in cloud environments.
Salary Range:
- Gross Salary 6300 - 7200 EUR/month
Core Requirements:
- At least 5 years of professional experience with python and backend engineering in high-scale environments.
- At least 3 years experience in architectural or cross-team technical leadership role, including designing event-driven architectures, data-intensive pipelines, and an understanding of system trade-offs.
- Strong understanding of databases and data systems, including PostgreSQL and other storage models; demonstrated ability to diagnose and resolve performance and reliability issues.
- Hands-on experience with cloud infrastructure, containers, and orchestration technologies, including Docker and Kubernetes.
- High standards of engineering quality, with an emphasis on maintainable, testable, secure, and well-structured code.
- Excellent communication skills and the ability to influence technical direction across teams.
- Strong commitment to continuous learning, proactive problem identification, and improvement of systems, processes, and engineering practices within the Cyber Threat Intelligence field.
Tools You Will Use:
- Python
- Docker, Kubernetes, Kafka, ArgoCD
- FastAPI, aiohttp
- PostgreSQL, Redis
- GitLab CI/CD
- AWS (MSK, RDS, EKS, EC2, S3, EMR, KEDA)
