Senior Python/Django Engineer (AI-Native)

Are you a Senior Python/Django Engineer who embraces AI as a core force multiplier in software development?At Plecto, we are looking for an experienced backend developer to help build and scale our real-time performance platform while leveraging modern AI coding tools to move faster, ship higher-quality code, and redefine how software is built At Plecto, our mission is to create the world’s #1 performance platform. We empower teams across the globe with real-time dashboards and data-driven insights. To maintain our edge, we foster an engineering culture that actively experiments with and adopts AI-native workflows, tools, and automation. What you will do:As a Senior Python Developer at Plecto, you’ll play a key role in designing, building, and optimizing the backend of our real-time performance platform. Key ResponsibilitiesWe encourage and support using AI assistants (we currently generally prefer Conductor with Claude) across the entire software development lifecycle.AI handles routine boilerplate, code generation, initial test writing, and refactoring so you can focus on architecture, complex domain logic, and high-impact problems.We treat AI literacy and prompt engineering as essential engineering skills alongside clean code and architectural design.Designing and developing scalable, high-throughput backend services and APIs using Python and Django.Working with modern data systems including PostgreSQL, Redis, Elasticsearch, Kafka, and message queues/streaming setups.Building and helping to improve our infrastructure to support reliability, scalability, and performance as we grow.Leveraging AI tools to accelerate feature iteration, automated test generation, and system optimization while maintaining high engineering quality.Taking end-to-end ownership of backend architecture, from design and implementation to deployment, monitoring, and performance tuning in production.Collaborating with product managers and engineers to deliver features that scale to thousands of active global users.Mentoring teammates and sharing best practices on both traditional Python development and AI-assisted engineering workflows. Who You Are:5+ years of professional backend development experience with Python and Django building production-grade systems.Proven track record of using AI code assistants to boost development velocity, improve code quality, and automate workflows.Required Technical ExpertiseExperience with building and maintaining production systems.Infrastructure: Hands-on experience with Docker and deploying applications in cloud environments.DevOps: Some experience with DevOps practices, such as CI/CD pipelines, infrastructure as code, and monitoring/observability tooling.Strong experience with relational databases (PostgreSQL), query optimization, caching (Redis), and search/indexing (Elasticsearch).Solid background in containerization (Kubernetes), CI/CD pipelines, and cloud environments.Pragmatic engineering mindset, focused on shipping high-quality code, technical clarity, and measurable impact.AI-Assisted Development: Hands-on experience using AI coding tools such as Claude Code to boost productivity and code quality, and comfortable working with Conductor as our coding editor.What we offer you:An AI-forward engineering environment equipped with modern tools and subscriptions.Growth opportunities in a high-performing, international B2B SaaS company.Open workplace culture focused on ownership, initiative, and team execution based in Aarhus with colleagues in Warsaw.