Senior Engineer -Python
Klarna Bank AB
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🗓 Ansök senast 3 augusti 2026
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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
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