• Own core backend platform features end-to-end — from concept and architecture through deployment and iteration • Build and maintain low-latency, highly available backend services that power real-time threat detection • Collaborate cross-functionally in a fully remote, distributed team environment • Integrate external data sources and OSINT-style data feeds into the platform pipeline • Contribute to AI pipeline architecture and agentic workflow systems • Drive 0→1 feature development with a high degree of autonomy and accountability

• Приймати технічні рішення, що покращують кодову базу та мінімізують ризики • Брати активну участь у проєктуванні нових фіч і технічних рішень • Активно застосовувати AI-інструменти в розробці та брати участь у побудові AI-агентів • Тісна співпраця всередині команди з мобільними, фронтенд, backend розробниками та DevOps. • Виконувати рев'ю коду та ділитися знаннями з командою.

• Error analysis and resolution: Investigate issues using logs, debugging, and code analysis, ensuring complete and accurate troubleshooting. • Tracking solutions: Monitor and report the progress of actions until full resolution of incidents. • Collaboration with partner teams: Engage other teams when necessary, fostering agility and cooperation through proactive communication. • Quality assurance: Validate and test technical deliverables before production deployment with clear and intuitive evidence. • Production releases: Execute RDM (Request for Deployment Management) processes, including possible after-hours deployments. • Technical documentation: Create and maintain technical and operational materials for clients and internal use. • System monitoring: Create and optimize services and dashboards to ensure high availability and system performance.

• Craft clean code and practical solutions • Pair classic ML with LLMs