Production Quality Technician Västernorrlands län, Sweden

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 a Senior Production Engineer What You Will Work On Develop and improve assembly processes and manufacturing methods Create and optimize work instructions and production standards Develop and maintain PFMEA (Process Failure Mode and Effects Analysis) Ensure production equipment, tools, and resources are available and properly utilized Support daily manufacturing operations together with operators and line technicians Drive production improvement initiatives and corrective actions Collaborate with line managers and cross-functional support teams Analyze production issues and implement sustainable solutions Improve productivity, quality, delivery performance, and workplace safety Support industrialization and process optimization activities Contribute to Lean Manufacturing and operational excellence initiatives Participate in continuous improvement and problem-solving activities Ensure manufacturing processes meet operational and business objectives What You Bring Minimum 5 years of experience as a Production Engineer Experience from manufacturing and industrial production environments Strong knowledge of assembly manufacturing processes Experience developing manufacturing methods and production workflows Experience working with PFMEA and process quality methodologies Knowledge of ERP systems Experience with production analysis and problem-solving Fluent Swedish and English, written and spoken

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

Semicon Service Nordic AB

Job Description Our client is seeking a motivated and enthusiastic Junior Java Software Engineer to join a dynamic development team responsible for building and maintaining modern cloud-based software solutions. This opportunity is ideal for an early-career developer who is passionate about technology, enjoys solving complex problems, and thrives in a collaborative Agile environment. The successful candidate will contribute to the design, development, deployment, and support of microservice-based applications while working alongside experienced professionals in a high-performance and innovation-driven culture. The role follows a DevOps approach, providing exposure to the full software lifecycle from development and prototyping to operations and continuous enhancement. Key Responsibilities Design, develop, and implement software applications in alignment with established development standards and engineering best practices. Participate in the architectural design and technical planning of new digital services and application features. Deploy, monitor, support, and maintain production applications to ensure optimal performance and reliability. Investigate technical issues, troubleshoot application defects, and implement effective solutions. Contribute to continuous improvement initiatives focused on enhancing software quality, functionality, maintainability, and cost efficiency. Develop scalable microservices and cloud-based solutions using modern Java technologies and frameworks. Collaborate with cross-functional teams during sprint planning, development, testing, and delivery activities. Follow coding standards, software design principles, and development methodologies to ensure high-quality code. Participate actively in Agile ceremonies and support successful sprint execution. Continuously evaluate existing processes and propose improvements that drive efficiency and innovation. Required Skills Java 8 or later Spring Framework Spring Boot Microservices Architecture AWS (Amazon Web Services) JMS (Java Message Service) Asynchronous Programming Test Automation Frameworks Application Development Software Design DevOps Practices Troubleshooting and Maintenance Agile Methodologies Coding Best Practices (DRY Principles) Preferred Skills IT Security Public Key Infrastructure (PKI) React ELK Stack / Kibana Grafana Cloud-Native Development Continuous Improvement Practices Required Qualifications University degree in Computer Science, Software Engineering, Information Technology, or a related field. Minimum one year of hands-on experience developing applications using Java 8 or later. Strong knowledge of Spring Framework, Spring Boot, and Microservices Architecture. Experience with AWS cloud services.