About this role
What you’ll do Build and maintain Python and SQL based systems for data pipelines, analyses, monitoring, and automated alerting Evolve Klarna's abilities to measure and monitor its business critical metrics from an AI-driven perspective Own projects end-to-end in time-boxed phases: scoping (1-2 weeks) → building → deploying → iterating Present technical work and tradeoffs to senior leadership Support and maintain what you build – no throwing projects over the wall Work publicly in Slack channels with radical transparency (all work visible to the team) Who you are AI-First Engineer: Heavy hands-on experience with OpenAI/Anthropic APIs, prompt engineering, and AI-assisted coding tools (Cursor, GitHub Copilot, Claude Code, etc) Tech Stack Flexible: Comfortable working across Python, Docker, AWS, APIs, databases – you adapt to the problem, not the other way around Business-Oriented: You translate stakeholder needs into technical solutions and care about why we're solving a problem, not just how Iterative Shipper: You build MVPs in 1-2 week cycles, gather feedback, and iterate quickly Change Resilient: You thrive when priorities shift, requirements evolve, and ambiguity is the norm Self-Driven: You proactively unblock yourself, drive projects forward, and communicate openly in public channels Awesome to have Good understanding of common design patterns and comfortable with modern Python 3 practices (type hints, protocols, Pydantic, uv) Experience with Terraform, Airflow, Slack API, OpenSearch, SPARQL, CI/CD Track record of maintaining production systems while building new features Background working with cross-functional stakeholders in product, analytics, and business operations Comfort working in highly transparent, documentation-heavy environments Experience killing or rescoping projects that aren't delivering value