Lead Backend Engineer, Python, Django, AI-Driven Systems

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Lead Backend Engineer shaping high-impact cybersecurity platform using Python/Django. Build AI-powered systems at scale with flexible working options in Lithuania.

Posted 5/7/2026full-time🇱🇹 LithuaniaSenior💰 €6,500 - €9,000 per monthWebsite

Tech Stack

Tools & technologies

Cyber SecurityDjangoDockerPostgresPython

About the role

Key responsibilities & impact

Own and evolve a complex Python/Django monolith, defining architecture decisions for scalability and performance
Design and optimize backend systems supporting bug bounty workflows, pentest programs, and real-time messaging
Lead integration of AI/LLM solutions into production pipelines (e.g., report triage, classification, validation)
Build and scale asynchronous systems using Celery and real-time services via Django Channels
Improve system security, access controls, and data validation across the platform
Optimize PostgreSQL queries, caching strategies, and background job performance
Enhance CI/CD pipelines, Docker-based environments, and infrastructure reliability
Customize and extend internal tools (e.g., Django Admin) to support operational teams
Collaborate closely with product and security stakeholders to deliver user-centric solutions
Continuously refactor and modernize code while maintaining high test coverage and system stability.

Requirements

What you’ll need

Proven experience building and scaling production-grade applications using Python and Django
Strong full-stack backend ownership mindset (DB design, APIs, async systems, deployment)
Hands-on experience with Celery, WebSockets, and distributed system debugging
Solid understanding of PostgreSQL performance optimization and data modeling
Practical experience integrating LLMs into real-world workflows (local or API-based)
Familiarity with AI concepts such as prompt engineering, structured outputs, and pipeline reliability
Interest in cybersecurity, ethical hacking, or offensive security environments
Strong testing culture and experience maintaining CI pipelines.

Benefits

Comp & perks

Flexible working model (hybrid or fully remote options)
Early-stage equity and long-term growth potential
Modern engineering environment with Docker, CI/CD, and strong development practices
Mission-driven product contributing to cybersecurity and digital resilience.

ATS Keywords

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Hard Skills & Tools

PythonDjangoCeleryPostgreSQLWebSocketsAI/LLM integrationCI/CDDockerasynchronous systemsdata validation

Soft Skills

leadershipcollaborationproblem-solvingcommunicationuser-centric designtesting cultureownership mindsetadaptabilityattention to detailmodernization