Senior Platform Engineer

WHY DOKTOR.SE Doktor.se is Sweden's largest digital healthcare provider. We combine physical clinics with a digital platform serving millions of consultations per year across Sweden, Germany, and Norway. Our 25-person engineering team has startup autonomy inside a profitable, international organization with 1,000+ employees and over 1B SEK in revenue. We run OpenAI and Anthropic models in production across patient and clinician workflows, and that footprint is growing fast. WHAT YOU'LL DO Our infrastructure works, but it was built to solve yesterday's problems. We need someone who can help us get to where we want to be — not maintain what we have, but reshape it. If you want a place where everything is already figured out, this isn't it. If you want to build something better, here's what you'd own: * Build a deployment platform where teams ship their own services without asking you for permission. * Design infrastructure that is secure by default, so teams don't have to think about encryption, network isolation, or data residency. It just works. * Create deployment pipelines where security scanning, policy checks, and compliance happen automatically, invisible when everything is fine, loud when something needs attention. * Support and scale infrastructure for AI workloads, we run models in production across our platform, and that footprint is growing. * Set up observability that gives teams real insight into their own services, useful dashboards, alerts that mean something, not noise that everyone ignores. * Work closely with developers to understand what slows them down, and then fix it. Not by doing it for them, but by making it easy for them to do it themselves. * Maintain and evolve our cloud account structure, networking, and identity management across multiple regions and products. Some weeks you'll write infrastructure code. Some weeks you'll pair with a developer to debug a slow service. Some weeks you'll design how a new product gets its own isolated infrastructure. The common thread: you make the teams around you better. Make developers faster, not more dependent on you. WHAT WE'RE LOOKING FOR * You've built and operated Kubernetes in production. Not just deployed a Helm chart once, you've debugged networking issues, designed RBAC policies, and thought about how multiple teams share a cluster without stepping on each other. * You know AWS well. Accounts, networking, IAM, KMS. You have opinions about what should live in Kubernetes and what genuinely needs to be an AWS managed service, and you lean toward keeping things in Kubernetes where possible. * You've worked with GitOps and infrastructure as code. Flux, ArgoCD, Terrafor, specific tools matter less than the principle: infrastructure changes go through pull requests, are reviewed, and are auditable. * You understand developers because you are one. You can read their code, understand their pipelines, and have meaningful conversations about architecture. * You think about security as something you design into systems, not something you review at the end. * You have opinions, and you can change them when someone makes a better argument. * University degree in computer science, engineering, or equivalent experience. TECH STACK Cloud - AWS (multi-account, multi-region) Orchestration - Kubernetes / EKS IaC - Terraform CI/CD - GitHub Actions Languages - Python, TypeScript AI - OpenAI, Anthropic (in production and tooling) Observability - Datadog / Grafana (you'll shape this) WHAT WE OFFER * Real influence. You'll shape how our platform works, not just operate what someone else designed. * Healthcare context. Patient data, regulatory compliance, and real consequences for getting it wrong. What you build actually matters. * Small team, direct impact. 25 engineers, your work is visible, not lost in a machine. * Autonomy. No micromanagement, no endless approval chains. * AI in production. We're running LLMs in patient and clinician workflows today, the infrastructure needs to grow with that. * Collective agreement, 30 days vacation, wellness allowance, personal development budget. PRACTICAL DETAILS * Start: As soon as we find the right person. We'll accommodate your notice period. * Employment: Permanent, full-time. Six month probation period. * Location: On-site, Monday–Thursday at Sveavägen 63, Stockholm. Fridays are flexible. * Language: English is our working language in tech. Swedish is a bonus. * Work permit: You must already have the right to work in Sweden. * Contact: Andrew Crookston, VP of Engineering We handle recruitment internally — no agencies, no consultants, no external recruiters.

Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others. As one of the world's leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users across 25 markets. Driven by our purpose, "Leading the future of storytelling, we move the world through stories", Storytel Group inspires and entertains people around the world by blending innovation with tradition. We bring stories to life across various formats for everyone to discover. Anytime. Anywhere. Ready for your next chapter? We're looking for a Senior Platform Engineer to join our Platform Engineering team! About the Team The Platform Engineering team focuses on setting up, operating and redefining observability, infrastructure, CI/CD, runtime, Machine Learning and AI agentic tooling at Storytel. We apply software engineering principles to accelerate software delivery and ensure that application development teams are productive in all aspects of the software delivery lifecycle. We aim to design and build toolchains and workflows covering the operational necessities of the entire lifecycle of an application and to enable that as self-service for our teams. This means providing paved roads that make it easy for our application developers to focus on building a great experience for our users. We support the teams in making the most of our platform's capabilities and in providing best-practices knowledge. Our team's expertise is very diverse, varying from cloud infrastructure, through security, to development tools, ML platform tooling, AI and more. About the Role Take the next step in your career as a Senior Platform Engineer at Storytel! At Storytel, engineers are viewed as leaders within the Individual Contributor roles, aiming to create impact and drive initiatives to bring our audio entertainment service to millions of users. As a senior member of the Platform team, you will design, build and maintain the toolchains and workflows that help our teams manage the full life-cycle of their systems – including tools, libraries for our common languages, templates, automation, and configurations. You'll work across observability, deployment pipelines, quality assurance, availability, the runtime platform. A key focus of this role is our ML platform capabilities. With AI and LLMs becoming a strategic part of how Storytel builds product experiences we need someone who can shape the paved road for ML workloads on Google Cloud and Vertex AI – making it easy for product teams to develop, deploy, and operate ML-powered features safely and reliably. Python is the lingua franca of this space and a key language for the role. You'll also coach and unblock developers in their daily work, help them get the most out of the platform, and lead initiatives that improve developer experience across the organisation. You will work with technologies including Metaflow, Argo Workflows, Argo Events, ArgoCD, Kargo, GitHub, GitHub Actions, Grafana, Prometheus, Kubernetes, Google Cloud Platform (including Vertex AI), Infrastructure as Code (Terraform, Atlantis), Fastly, and more. About You To be successful in this role, we believe that you have: * A platform engineering mindset. You understand that the job is about empowering other engineers to do their absolute best work, and you measure your success by their productivity and happiness. * A software engineer's perspective. You've been in the shoes of an application developer and you understand the friction, the trade-offs, and the long feedback loops engineers deal with every day. * Significant hands-on experience with ML on Google Cloud, and specifically Vertex AI – building, deploying, or operating ML workloads, pipelines, or platform capabilities that other teams build on top of. Strong Python skills in this context are expected. * A deep care for developer experience. You believe that good DX has a direct, positive impact on team morale, delivery speed, and product quality – and you can point to things you've built that prove it. * Strong long-term thinking on architecture. You weigh the maintenance cost of every decision and prefer boring, durable solutions over clever ones that someone else will have to live with. * Pragmatic ambition. You have high standards and a vision for where the platform should go, but you also understand the constraints of working in a small organisation and know how to ship value incrementally. * At least 5 years of professional software engineering experience, with solid hands-on development skills.. * Strong experience with container technologies, Kubernetes, and distributed systems in production. * Strong experience with a major cloud provider – ideally Google Cloud Platform. * Experience working in DevEx-adjacent areas such as deployment pipelines, observability and monitoring, quality assurance, automation, self-service tooling, or runtime platforms. * An ability to communicate fluently in English (written and spoken) and to collaborate effectively across teams – this role does not work in isolation. Bonus points for experience or interest in: * Building internal developer platforms (IDPs), golden paths, and self-service tooling * MLOps tooling and patterns – feature stores, model registries, evaluation pipelines, online/offline serving * Building AI agents – hands-on experience designing, building, or productionising agentic systems (e.g. with frameworks like ADK, LangGraph, or similar), including tool use, orchestration patterns, evaluation, and operating agents reliably in production * LLM application infrastructure – prompt management, evaluation, observability, guardrails * Infrastructure-as-code and configuration management at scale * Working with databases – MySQL, Postgres, etc. * Linux/Unix internals Join a world of stories At Storytel, we're a team of creative story lovers who thrive on collaboration and new ideas. Our workplace is friendly, dynamic, and full of opportunities to experiment and make an impact. We believe in trust, flat hierarchies, and empowering you to grow with us. Does this sound like your next story? Simply fill out the application form and share your CV or LinkedIn profile – no cover letter needed. Answer a few questions, and you're all set.