{"id":2989546,"url":"https://alion.io/job/plecto-senior-pythondjango-engineer-ai-native-2","title":"Senior Python/Django Engineer (AI-Native)","company":{"id":55341,"name":"Plecto","domain":"plecto.com","url":"https://alion.io/company/plecto","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HR-Manager","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Aarhus, Denmark"],"countries":["DK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":83000,"max_usd":172000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Kubernetes","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false}],"status":"live","first_seen_at":"2026-09-17T06:34:49Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-31T00:37:16Z","board_verified":true,"closed_at":null,"days_open":43,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":43},"description":"Are you a Senior Python/Django Engineer who embraces AI as a core force multiplier in software development?\nAt 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\nAt 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.\nWhat you will do:\nAs 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.\nKey Responsibilities\nWe encourage and support using AI assistants (we currently generally prefer Conductor with Claude) across the entire software development lifecycle.\nAI handles routine boilerplate, code generation, initial test writing, and refactoring so you can focus on architecture, complex domain logic, and high-impact problems.\nWe treat AI literacy and prompt engineering as essential engineering skills alongside clean code and architectural design.\nDesigning and developing scalable, high-throughput backend services and APIs using Python and Django.\nWorking with modern data systems including PostgreSQL, Redis, Elasticsearch, Kafka, and message queues/streaming setups.\nBuilding and helping to improve our infrastructure to support reliability, scalability, and performance as we grow.\nLeveraging AI tools to accelerate feature iteration, automated test generation, and system optimization while maintaining high engineering quality.\nTaking end-to-end ownership of backend architecture, from design and implementation to deployment, monitoring, and performance tuning in production.\nCollaborating with product managers and engineers to deliver features that scale to thousands of active global users.\nMentoring teammates and sharing best practices on both traditional Python development and AI-assisted engineering workflows.\nWho You Are:\n5+ years of professional backend development experience with Python and Django building production-grade systems.\nProven track record of using AI code assistants to boost development velocity, improve code quality, and automate workflows.\nRequired Technical Expertise\nExperience with building and maintaining production systems.\nInfrastructure: Hands-on experience with Docker and deploying applications in cloud environments.\nDevOps: Some experience with DevOps practices, such as CI/CD pipelines, infrastructure as code, and monitoring/observability tooling.\nStrong experience with relational databases (PostgreSQL), query optimization, caching (Redis), and search/indexing (Elasticsearch).\nSolid background in containerization (Kubernetes), CI/CD pipelines, and cloud environments.\nPragmatic engineering mindset, focused on shipping high-quality code, technical clarity, and measurable impact.\nAI-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.\nWhat we offer you:\nAn AI-forward engineering environment equipped with modern tools and subscriptions.\nGrowth opportunities in a high-performing, international B2B SaaS company.\nOpen workplace culture focused on 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