Platform Engineer - Cloud, Automation & AI

Storytel

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.

Schibsted

JOIN THE DATA & AI JOURNEY AT SCHIBSTED MEDIA Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We're looking for a Data Engineer to join our Data Infrastructure team and help build the shared data platform that powers analytics and AI across Schibsted Media. Our team enables data teams to build trusted, scalable, and well-governed data products. In this role, you will work at the intersection of data engineering and platform engineering. You'll help improve our data platform while also contributing to trusted data models, modern data pipelines, and engineering practices used across the organization. You will join the Data & AI organization, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases. ABOUT THE ROLE We're looking for someone with 4+ years of experience who enjoys building solid data solutions while improving the shared data platform that enables teams across Schibsted Media. You'll work with technologies such as Snowflake, dbt, Airflow, and Python to develop shared tooling, maintain platform capabilities, and contribute to modern data engineering practices. You'll also help deploy and manage cloud infrastructure, automate operational tasks, and continuously improve the reliability and scalability of our platform. While prior infrastructure experience is a plus, we're looking for someone who is eager to learn and grow in this area. WHAT YOU'LL DO * Collaborate with Data & AI teams to understand platform needs and deliver scalable data solutions * Design, build, and improve shared data platform capabilities, developer tooling, data pipelines, and automation using technologies such as Snowflake, dbt, Airflow, and Python * Support and evolve our Privacy Compliance Platform, helping enable secure, compliant, and governed access to data across Schibsted Media * Deploy, maintain, and improve cloud infrastructure using Infrastructure as Code and modern automation practices * Improve reliability, observability, performance, cost-efficiency, and scalability of our data platform * Develop reusable templates, tooling, and documentation that enable self-service across Data & AI teams * Develop maintainable data models that support analytics, reporting, and AI use cases * Contribute to good practices for data modeling, transformation, testing, documentation, and governance * Participate in code reviews, technical discussions, and continuous improvement of our ways of working * Contribute to a culture of ownership, learning, and collaboration WHAT WE'RE LOOKING FOR MUST HAVE * 4+ years of experience as a Data Engineer or similar role * Strong SQL skills and a good understanding of modern data warehousing concepts * Experience building data pipelines and working with orchestration tools such as Airflow or similar * Hands-on experience with dbt and modern data transformation practices * Experience with Python for data engineering or automation * Experience with Git and modern software engineering practices * Ability to take ownership of tasks and deliver maintainable solutions * Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language. * Collaborative mindset and willingness to learn from and contribute to the team NICE TO HAVE * Experience with software engineering practices such as automated testing, CI/CD, and code review workflows * Experience with Snowflake or similar cloud data platforms * Experience with Infrastructure as Code (Terraform or similar) * Experience with AWS, GCP, or Azure * Interest in data quality, observability, governance, or platform engineering WHY JOIN US? * Build the platform that enables data and AI across Schibsted Media * Work with modern technologies and experienced engineers across multiple teams * Flexible working hours and hybrid work options with strong trust and autonomy * International environment with offices in Oslo, Stockholm, and Krakow * Strong learning culture with learning budget and active engineering & AI communities * Access to Schibsted's premium media products, including news and podcasts ABOUT YOU You enjoy turning technical challenges into simple, maintainable solutions. You're passionate about improving the developer experience and building reusable solutions that help other engineers move faster. You care about building reliable systems, but also understand that great engineering is about collaboration, continuous improvement, and enabling others to succeed. You're curious, take ownership of your work, and enjoy helping build the platform that supports trusted data products across Schibsted Media.

Apotea

Tech Innovation at Apotea Apotea is Sweden’s largest online pharmacy. We are rebuilding our core platform on a modern cloud-native architecture and investing in our technology stack. In Tech, our vision is to move toward AI-first, automated and data-driven systems — not by adding AI on top of legacy workflows, but by redesigning how software is built and operated. We focus on scalable, observable systems owned by engineers end-to-end. We are now looking for Senior Full-Stack Software Engineers who want ownership, impact and engineering challenges. The Role As a Senior Full-Stack Software Engineer, you will design, build and operate distributed backend systems and modern frontend applications that power Apotea’s core products and emerging AI-driven experiences. You will own the full software lifecycle: architecture, implementation, deployment, monitoring and improvement — from database design and backend services in Go to frontend experiences for teams and customers. You will work with data engineers, ML engineers, product managers and business stakeholders to turn problems into production systems, including agentic AI applications where software agents interact with data, services and workflows. Key Responsibilities Full-Stack System Design & Implementation: * Design and build backend services in Go for distributed, cloud-native applications. * Build frontend applications that connect users to data, workflows and AI-powered capabilities. * Build APIs and event-driven components across e-commerce, logistics, data and AI platforms. * Design systems with scalability, resilience and observability in mind. Database Design & Data Ownership: * Design application-level data models and database schemas. * Make informed trade-offs between storage approaches. * Understand query patterns and performance implications. * Integrate operational systems with analytics and ML pipelines. Agentic AI Applications: * Build production-grade agentic AI applications that integrate LLMs with real systems and workflows. * Design services that enable AI agents to act safely with business data. * Collaborate with ML and data engineers to operationalize AI in real products — not demos. * Help define guardrails and patterns for reliable AI-driven systems. Engineering Excellence: * Write clean, maintainable, production-quality code across backend and frontend. * Participate in code reviews and architectural discussions. * Build automated tests and CI/CD pipelines. * Take responsibility for production reliability and incident resolution. * Improve engineering standards, tooling and AI-assisted coding workflows. We are looking for someone with: * Strong experience as a Senior Full-Stack Software Engineer building production systems. * Proven experience with Go (Golang) in backend environments. * Solid understanding of distributed systems and modern architectures. * Experience building frontend applications. * Experience with database design and application data modeling. * Strong fundamentals: testing, versioning, CI/CD, documentation and code quality. * Ownership mindset and ability to balance speed and quality. * Excellent communication skills and collaborative attitude. Nice to Have * Experience with A/B testing or experimentation frameworks. * Familiarity with event-driven architectures and streaming systems. * Experience with AWS and cloud-native architectures. * Experience building AI-powered or agentic applications. * Exposure to high-scale e-commerce, logistics or data-heavy environments. * Knowledge of Infrastructure as Code, such as Terraform, CDK or CloudFormation. Why Join Apotea? * A stable, future-focused company with a meaningful mission to improve healthcare accessibility. * Work on AI, ML and automation projects that impact millions of customers. * Work with modern cloud-native, automated and event-driven systems. * Join a flat, agile organization with minimal bureaucracy. * Grow through training, mentorship and industry conferences. * Collaborate in a transparent, cross-functional environment. * Own projects from concept to deployment. About Apotea Apotea.se is Sweden’s largest online pharmacy. We simplify everyday life for customers with fast deliveries, a broad product range and expert advice. In 2024, Apotea reached a turnover of SEK 6.5 billion and employs about 1,000 people across Stockholm, Lidingö and Morgongåva. Apotea is an inclusive employer that values diversity. We welcome all applicants and strive to create a work environment where everyone can thrive and grow. Recruitment Process 1. Apply 2. Interview: Screening 3. Interview: Technical Capabilities 4. Interview: Culture Fit 5. Background Check: As a pharmacy, we always conduct a background check. 6. Offer Presented Application Send in your application today. For more information, visit our career page or contact us at jobb@apotea.se. We do not accept applications via email. Join Us and Make a Difference - We hope you want to be part of our team! Interviews are ongoing, and the position may be filled immediately. Start date by agreement. Location: Sveavägen 168, Stockholm, Sweden (On-site) Open Positions: 4 Welcome to Apotea – where technology meets health and creates magic!