Senior Platform Engineer

Veo

Veo is a global leader in AI-based sports camera technology. Our innovative, fully automatic camera solution enables sports teams to record matches and training sessions without a camera operator. We’re democratizing the world of sports by granting video analysis for teams on all levels—a privilege that used to be only for the few. More than 40,000 clubs in 90+ countries record their games every week. But what truly sets us apart? Our people. We’re a diverse group of innovative thinkers, creators, and problem-solvers who believe in delivering an incredible product—and having fun while doing it. The Opportunity Veo processes thousands of hours of sports video daily, powering AI analysis for teams from grassroots to professional levels. The infrastructure you build will directly enable coaches and athletes worldwide to analyze, train, and compete better. We're building KickOff, our next-generation GitOps platform. You'll join during a pivotal moment: we're actively migrating services to KickOff, establishing new platform patterns and enabling 100+ engineers to ship faster and more reliably. We also maintain separate on-premises Kubernetes clusters running model training and video processing workloads. This isn't a "keep the lights on" role. You'll shape platform architecture, drive technical decisions, and directly impact engineering velocity across both cloud and on-prem environments.

Avaron AB

About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will take a key role in building, hardening, and running a GitOps-based delivery platform on Kubernetes. The environment combines JFrog Artifactory as the governed artifact source with ArgoCD as the declarative delivery engine, and the work spans both platform reliability and secure software delivery. This is a hands-on role for you if you enjoy stepping into an existing setup, understanding how the pieces fit together, and improving it with clear technical choices. You will work independently, solve complex operational issues, and create solutions that are sustainable through documentation and knowledge sharing. It is an exciting opportunity to influence a modern cloud-native platform where your technical decisions will have clear impact. Job DescriptionYou will manage and govern JFrog Artifactory, including configuration, administration, permissions, and supply chain scanning. You will build, maintain, and improve GitOps workflows for Kubernetes-based delivery. You will deploy, operate, and troubleshoot ArgoCD in a production environment. You will run and support Kubernetes in production, including deployments, services, ingress, RBAC, networking, and resource management. You will work with Helm and Kustomize to structure and manage application delivery. You will use Git and CI/CD practices to strengthen reliable and repeatable delivery flows. You will work across Azure and AWS, with a focus on services connected to Kubernetes and secure identity handling. You will document solutions and share knowledge with internal teams to ensure long-term maintainability. RequirementsStrong hands-on experience with JFrog Artifactory, including configuration, administration, and operations Strong operational Linux experience, including CLI, shell scripting, networking, logs, permissions, and container troubleshooting such as namespaces and cgroups Hands-on Kubernetes experience with deployments, services, ingress, RBAC, networking, resource management, Helm, and Kustomize Practical experience deploying and managing ArgoCD Solid experience with Git workflows and CI/CD pipelines Experience with Azure services such as AKS, Entra ID, VNet, Private Endpoints, and Workload Identity Experience with AWS services including ECR and IAM Practical experience running both ArgoCD and Artifactory in these cloud environments You are comfortable working independently, making technical decisions, and delivering high-quality solutions with minimal supervision Nice to haveExperience with JFrog Xray or Curation Experience with AKS Terraform Prometheus and Grafana External Secrets and/or Vault Container and image security GitHub Actions GitHub Enterprise administration Python automation What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.

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.