Senior Platform Engineer

Storytel; Stockholms kommun; On-site; SEK 700,000 - 950,000; Full time

Job summary

Storytel in Stockholms län is looking for a Senior Platform Engineer to enhance its Platform Engineering team. This role emphasizes designing and managing the full lifecycle of ML systems using Google Cloud and Vertex AI. Candidates should have at least 5 years of software engineering experience, strong Python skills, and a solid understanding of Kubernetes and cloud infrastructure. A great opportunity to combine storytelling with cutting-edge technology. Join us and help define the future of storytelling at Storytel.

Qualifications

• At least 5 years of professional software engineering experience.
• Strong experience with container technologies and Kubernetes.
• Hands-on experience with ML on Google Cloud, specifically Vertex AI.

Responsibilities

• Design, build and maintain toolchains and workflows.
• Work on ML platform capabilities and deployment pipelines.
• Coach developers to improve their experience across the organisation.

Skills

Python

Kubernetes

Machine Learning

Google Cloud Platform

DevOps

Distributed Systems

Tools

Metaflow

Terraform

Grafana

Prometheus

Argo Workflows

Job description

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 will 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.