Software Engineer, Platform (Infrastructure)

Lovable Labs Sweden AB

TL;DR We are seeking a Platform Engineer to enhance and scale Lovable's developer experience. In this role, you will be responsible for critical components of our stack, ensuring our engineering workflows are faster, smoother, and more Lovable. 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 You have strong programming skills and a track record of improving developer velocity and system reliability. 7+ years of experience working in a platform team supporting developer experience (o11y, CI/CD, application frameworks, productivity tooling, etc). You’ve written code and tools to support growing engineering orgs in scale-ups. You have experience with Docker, Kubernetes and modern infrastructure practices. You’re a problem-solver who thrives on challenges and ships high-leverage systems fast. 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: Own and scale the developer experience at Lovable, making our engineering teams the most productive in the world. Bring order and structure to our code base. Integrate or build application frameworks to support a growing engineering organization and code footprint Own and develop our observability stack, from code instrumentation through ingestion to presentation. Integrating tools for AI driven development. 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, Modal. 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

Veritaz AB

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Assignment Description We are looking for an experienced CI Infrastructure Engineer What You Will Work On Develop and enhance the organization’s next-generation CI infrastructure Operate, maintain, and continuously improve the Continuous Integration environment Drive automation initiatives across CI agents and infrastructure Scale CI infrastructure to support large monorepositories and enterprise development environments Collaborate with cross-functional engineering teams to build a world-class developer platform Improve developer productivity through automation and platform optimization Provision and manage CI agents across Linux, macOS, and Windows environments Design and implement Infrastructure as Code (IaC) solutions Deploy and maintain cloud-based infrastructure across GCP, Azure, or AWS Support build systems, deployment pipelines, and release automation Monitor platform reliability, performance, and operational health Contribute to Continuous Integration and Continuous Delivery (CI/CD) best practices Drive standardization, automation, and continuous platform improvements Troubleshoot infrastructure, networking, and CI platform issues What You Bring Proven experience as a CI Infrastructure Engineer, DevOps Engineer, Platform Engineer, or Site Reliability Engineer Minimum 6 years of experience building and operating large-scale software platforms Strong experience with Linux, macOS, and Windows administration Solid understanding of networking and HTTP protocols Strong programming skills in Java and Python Experience implementing and operating cloud infrastructure on Google Cloud Platform (GCP), Microsoft Azure, or Amazon Web Services (AWS) Experience with Continuous Integration and Continuous Delivery (CI/CD) practices Experience with Infrastructure as Code tools such as Terraform and Packer Experience with configuration management using Ansible Experience with container technologies such as Docker Experience with CI platforms such as Buildkite or TeamCity Strong focus on automation, standardization, and developer experience Experience working with iterative and Agile development methodologies Excellent analytical, troubleshooting, and problem-solving skills Strong collaboration and communication skills

Semicon Service Nordic AB

Job Description Our client is embarking on a strategic initiative to modernize and scale its threat detection and threat-hunting capabilities. While an AI-powered solution already exists, the focus is now on transforming a research-oriented implementation into a resilient, enterprise-grade platform capable of operating efficiently in production environments. This position is ideal for a highly skilled software engineer who is passionate about building scalable systems, improving software quality, and optimizing AI-driven applications. The successful candidate will play a key role in developing an API-centric architecture, enhancing data processing pipelines, and ensuring efficient execution of AI workloads on specialized hardware. The role offers an excellent opportunity to contribute directly to advanced cyber defense initiatives while gaining further exposure to AI/ML operations, large-scale data processing, and GPU-accelerated computing. Key Responsibilities Modernize and refactor existing Python-based AI and machine learning components into maintainable, production-ready software solutions. Develop and optimize large-scale data ingestion, preprocessing, and feature engineering pipelines capable of processing high-volume security-related data streams. Design and implement an API-first architecture to ensure seamless integration with the broader Cyber Defense ecosystem. Facilitate the migration of legacy self-hosted data platforms toward modern cloud-native streaming and processing services. Improve application performance through hardware-aware optimizations, particularly for GPU-enabled environments requiring low-latency threat detection. Establish and maintain comprehensive quality assurance practices, including unit testing, integration testing, regression testing, and CI/CD automation. Collaborate with cross-functional teams to enhance the scalability, reliability, and operational efficiency of AI-driven security solutions. Support the deployment and maintenance of cloud-native infrastructure and containerized applications. Required Experience Extensive professional experience in software engineering with a strong focus on Python-based application development. Proven experience building and maintaining AI/ML support systems and data processing platforms. Hands-on expertise in designing scalable, production-grade software architectures. Experience working with big data ingestion and preprocessing workflows. Exposure to cloud-native environments, containerization technologies, and infrastructure automation. Educational Requirements Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, or a related technical discipline. Required Skills Programming & Software Engineering Python AI/ML Software Development Clean Code Practices Software Architecture Design Testing Frameworks CI/CD Implementation Performance & Systems Engineering GPU Programming CUDA Programming Performance Optimization Low-Latency Systems Design Additional Programming Languages Rust (Preferred) C++ (Preferred) Go (Preferred) Data & Infrastructure Kafka Redis Qdrant Vector Database Data Ingestion Pipelines Data Preprocessing Workflows AI/ML Technologies PyTorch (Torch) Scikit-learn AI/ML Model Support and Deployment Cloud & Containerization Docker Kubernetes Helm Cloud-Native Technologies AWS (Preferred) Google Cloud Platform (Preferred) Domain Knowledge Threat Hunting Security Operations Center (SOC) Cybersecurity Operations Language Requirements Strong professional communication skills in English. Preferred Qualifications Familiarity with cybersecurity environments, threat hunting methodologies, or SOC operations. Understanding of GPU architecture and AI hardware acceleration. Interest in learning and supporting advanced AI models used within cybersecurity applications. Experience working with cloud-based streaming and distributed data processing platforms. Why Join This Project? Contribute directly to strengthening the client's Cyber Defense capabilities and threat detection initiatives. Work on cutting-edge AI and machine learning solutions in a real-world security environment. Gain valuable experience with GPU computing, large-scale data pipelines, and modern cloud-native architectures. Play a pivotal role in transforming innovative AI research into enterprise-grade production systems. Application Method: Interested candidates can apply by sending their profile to hr@semiconservicenordic.com