Senior Engineer -Python

Klarna Bank AB

As a Senior Engineer in Klarna’s General track, you will design, build, and operate scalable, high-performing systems that power our global products. You will take end-to-end ownership of services, from architecture and development to deployment and monitoring, ensuring reliability and performance at scale. Working in small, cross-functional teams, you will collaborate closely with product, design, and other engineering colleagues to solve real customer problems. You will also contribute to technical direction, support continuous improvement of engineering practices, and share knowledge to strengthen the team’s capabilities. Who you are • Proven experience as a software engineer, with strong coding skills in at least one modern programming language • Experience designing and building scalable, distributed systems and working with microservices architectures • Strong understanding of software engineering fundamentals, including testing, code quality, and system design • Experience working in cloud environments and with modern development tools and practices (e.g. CI/CD, containerization) • Ability to take ownership of systems and drive work independently while collaborating effectively with others • Strong problem-solving skills and ability to navigate complex technical challenges • Working proficiency in English, both written and verbal Awesome to have • Experience in fintech, payments, or other high-scale digital products • Familiarity with multiple programming languages and technology stacks • Experience with observability, monitoring, and performance optimization • Experience mentoring engineers and contributing to team development Please include a CV in English

Workday Sweden Aktiebolag

Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them. We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable. We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started. About the Role You'll build the core agent infrastructure that powers Sana's mission to bring superintelligence to work. This is a greenfield opportunity to define how AI agents plan, reason, and execute across enterprise environments—building systems that reliably handle real-world complexity at scale. You'll work at the intersection of agent architecture, context-, tool- and prompt engineering, and production infrastructure. In this role, you will Architect multi-step planning, orchestration, and tool routing for agents Implement code generation agents and sandboxed code execution Engineer memory, state, and context packing/grounding strategies Balance latency, quality, and cost controls for agent execution Develop safe fallbacks, graceful degradation and robust error handling Collaborate with platform and search teams to deliver reusable agent infrastructure Establish safety guarantees and measurable quality improvements About You Basic Qualifications: 3+ years of software engineering experience building production backend or platform systems. 3+ years of experience in TypeScript, with a strong track record of writing reliable, maintainable services. 3+ years of experience with distributed systems, APIs, asynchronous workflows, and service-oriented architecture. 3+ years of experience designing systems with a focus on scalability, reliability, observability, and maintainability. Other Qualifications: Experience building and deploying LLM-powered applications in production. Experience building agent platforms or AI infrastructure. Deep understanding of the low-level details of the OpenAI, Google, and Anthropic LLM APIs, including tool calling, system prompt caching, etc. Familiarity with LLM application patterns, including tool calling, retrieval-augmented generation (RAG), memory and context management, multi-step orchestration, and human-in-the-loop systems. Experience building and running machine learning systems in production, including compiling training and test datasets, building training pipelines, evaluating models, and detecting and handling drift (neural networks, Gaussian models, Thompson sampling, etc.). Experience designing evaluation frameworks for LLM or agent quality and safety, including hands-on use of platforms such as Langfuse or LangSmith. Familiarity with vector databases, prompt and context engineering, and experimentation tooling. Experience working with sandbox environments such as Modal, and designing strict access control models to keep user data safe and encrypted at all times. Experience running services in Kubernetes-based environments on GCP or equivalent cloud platforms. Comfort working with Postgres and Redis in high-throughput, low-latency service contexts. Contributions to open source TypeScript projects. Ability to navigate ambiguity, make strong technical tradeoffs, and drive projects from concept to production. Strong communication and collaboration skills, with the ability to partner effectively across engineering, product, and AI research teams.

Workday Sweden Aktiebolag

Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them. We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable. We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started. About the Role As an Infrastructure Engineer, you will support our engineering teams by building and maintaining the technical foundation that enables our products to scale. You'll work on cloud infrastructure, deployment systems, and developer tooling, serving as a technical partner to other engineering teams while focusing on reliability and performance. In this role, you will Be the backbone of our ambitious goals, ensuring our infrastructure is robust and scalable. Support feature development teams with infrastructure decisions and deployments. Act as Site Reliability Engineer (SRE) and continuously enhance our Developer Experience (DX). Design and implement scalable cloud infrastructure solutions. About You Basic Qualifications: 3+ years of experience in infrastructure, platform, or site reliability engineering. 3+ years of hands-on experience with GCP or equivalent cloud platforms, including managing production environments. 3+ years of experience with Kubernetes, including deployment, scaling, and operations. 3+ years of experience with infrastructure-as-code tooling, such as Terraform. 3+ years of experience designing and operating highly available, scalable, and reliable backend systems. 2+ years of experience coding backend applications, with a strong track record of writing reliable, maintainable services. Other Qualifications: Experience acting as an SRE, with a strong understanding of site reliability principles in production environments. Experience improving developer experience through internal tooling, CI/CD pipelines, and deployment automation. Familiarity with TypeScript in a backend context, enabling effective collaboration with product engineering teams. Experience with Postgres and Redis in production, including performance tuning and reliability practices. Experience supporting feature development teams with infrastructure decisions, reviews, and hands-on deployment support. Strong observability skills, including logging, metrics, alerting, and incident response. Ability to navigate ambiguity and drive infrastructure projects from concept to production. Strong communication skills, with the ability to partner effectively across engineering and product teams.