Drive the long term evolution and technical strategy of the Document Domain, balancing product needs, scalability, reliability, and developer experience.
Champion AI-driven development workflows, mentoring engineers and improving the effectiveness, quality, and productivity of the engineering organization.
Lead cross-team initiatives to deliver best-in-class document capabilities while aligning architecture and engineering practices across the track.
Requirements
At least 6+ years of development experience with Python.
Strong knowledge of relational databases (SQL, migrations, optimization), message queues (RabbitMQ, NATS, Kafka), event-driven systems, DDD fundamentals, and asynchronous programming.
Be fluent with AI workflow for development in order to leverage your own productivity and impact on the productivity of other team members.
Mentoring other engineers within the company to ensure their tech growth.
Working on domain strategy, being able to identify challenges and make solid plans for a horizon of one year.
Good understanding of the development cycle from requirements analysis and deployment to application monitoring.
Extensive hands-on experience in developing applications.
Able to communicate technical ideas clearly in English across engineering teams, both verbally and in writing.
Tech Stack
Kafka
Python
RabbitMQ
SQL
Benefits
Global & Flexible Work: We’re a global, remote-first company, but we welcome you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv to connect with colleagues whenever it suits you.
Ownership & Growth: Work on a stable yet growing SaaS product, offering an agile environment, significant ownership, and a clear path for professional development within the Platform Engineering domain.
Culture & Balance: Enjoy an honest, open culture that values constructive feedback and promotes a strong work-life balance within a supportive, distributed team.
Compensation: Competitive compensation package and flexible contract arrangements tailored to your location and experience.