Software Engineer, Platform (Runtime)

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.

Lovable

TL;DR We’re looking for an exceptional software engineer with a systems mindset to build and evolve the core software behind the future of AI software engineering. You will design, ship, and own critical services and systems that power Lovable - making sure they're fast, reliable, and ready for whatever scale throws at them. WHY LOVABLE? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. WHAT WE’RE LOOKING FOR * Deep experience building and operating production infrastructure as a Software Engineer, Systems Engineer, Site Reliability Engineer or similar. * You write clean, performant code and understand what happens all the way down - from the API layer to the runtime. * Familiarity with container orchestration and sandboxing at a level deeper than configuration. You understand how schedulers, runtimes, and isolation boundaries actually work, not just how to deploy on top of them. * Strong proficiency in at least one systems-oriented language (Go, Rust, C++, or similar) * You have a track record of designing services that handle high throughput and unpredictable load at a global tech company or scale-up. * You’re comfortable navigating ambiguity and solving problems as they arise. * You care about security, stability, and speed and know when to make trade-offs between them. * You’re based in Stockholm or ready to relocate - this is an on-site, 5-days-a-week role. WHAT YOU’LL DO In one sentence: Design, build and own the systems that makes AI engineering work for everyone. * Design, build and maintain the systems that enable our AI product, such as: * Gvisor-based runtime environment for running agentic workloads. * A high-throughput sandbox scheduler across multiple cloud providers, built on deep understanding of the orchestration layer rather than off-the-shelf abstractions. * Harden our infrastructure against failures, downtime, and slowdowns. * Support our growth by making sure that our infrastructure never becomes a bottleneck. * Plan and implement our network infrastructure and cloud strategy. * Identify and drive reliability improvement efforts across all engineering teams. OUR TECH STACK We're building with tools that both humans and AI love. Lovable software engineers are capable of working across the whole stack. Examples of tech in our stack include: * Frontend: React and Typescript. * Backend: Golang and Rust. * Cloud: Cloudflare, GCP, AWS. * Data: Clickhouse, Firestore, Spanner, BigQuery. * DevOps & Tooling: CI/CD pipelines, OTEL, Kubernetes, Terraform. And always on the lookout for what's next! About your application * Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join * We treat all candidates equally - if you’re interested please apply through our careers portal

Lovable

TL;DR: We're seeking exceptional senior engineers and technical leaders for our Platform team, who own the infrastructure that powers Lovable's AI product and the developer experience that lets our engineering teams move at maximum velocity. Why Lovable? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for * 10+ years in platform, infrastructure, or developer experience engineering, with a track record operating at senior engineering levels. * Deep experience building and operating in one or more of: production infrastructure, platform engineering, or developer experience (observability, CI/CD, application frameworks, productivity tooling). * Strong proficiency in at least one systems-oriented language (Go, Rust, C++, or similar), with a track record of designing high-throughput services at scale — and/or experience writing code and tools to support growing engineering orgs in scale-ups. * Solid working knowledge of Docker, Kubernetes, and modern infrastructure practices; ideally with understanding that goes deeper than configuration — how schedulers, runtimes, and isolation boundaries actually work * You ship high-leverage systems fast and know when to make trade-offs between security, stability, and speed. * You're comfortable navigating ambiguity and driving clarity at an organisational level, not just technically. * You're based in Stockholm or ready to relocate — this is an on-site, 5-days-a-week role. What you’ll do In one sentence: We build and own the systems and developer platform that make AI engineering work and keep our engineering teams the most productive in the world. * Design, build and maintain the core systems that enable our AI product, including a gVisor-based runtime for agentic workloads and a high-throughput sandbox scheduler across multiple cloud providers. * Bring order and structure to our codebase; integrate or build application frameworks to support a growing engineering organisation. * Own and develop our observability stack, from code instrumentation through ingestion to presentation. * Harden our infrastructure against failures, downtime, and slowdowns — ensuring it never becomes a bottleneck to growth. * Plan and implement our network infrastructure and cloud strategy. * Integrate tools for AI-driven development across the engineering org. * Identify and drive reliability improvement efforts across all engineering teams. Our tech stack We're building with tools that both humans and AI love. Lovable platform engineers are capable of working across the whole stack. Examples of tech in our stack include: * Frontend: React and Typescript. * Backend: Golang and Rust. * Cloud: Cloudflare, GCP, AWS. * Data: Clickhouse, Firestore, Spanner, BigQuery. * DevOps Tooling: CI/CD pipelines, OTEL, Grafana, kubernetes, terraform. * Local Tooling: Nix, DevEnv. And always on the lookout for what's next! About your application Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join. We treat all candidates equally - if you’re interested, please apply through our careers portal.