CI/CD Engineer 18400

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

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 Test Automation Engineer What You Will Work On Develop and maintain automated test suites for web applications Design, develop, and execute API test automation Perform manual functional and business testing Verify and validate application data and system functionality Create, maintain, and manage test data Execute regression, functional, and integration testing Analyze test results and report defects Support continuous improvement of test automation frameworks Collaborate closely with developers, testers, and product teams Maintain test documentation and quality assurance processes Contribute to CI/CD-based automated testing pipelines What You Bring Minimum 5 years of experience in software testing and test automation Strong experience with Playwright Strong programming skills in TypeScript Experience with Azure DevOps, including: Work Item Management Source Code Management CI/CD Pipelines Test Reporting and Tracking Experience testing web applications and REST APIs Experience with manual testing and quality assurance activities Experience with test data preparation and management Fluent Swedish language skills

Celsus Engineering AB

Description Build the next-generation payment platform on a modern and future-proof tech stack. Working in a cross-functional team What we’re looking for Proven ability to design, optimize, and operate data-intensive systems, including schema design, performance tuning, and production troubleshooting in MS SQL Server–based environments. Deep understanding of database performance and reliability, including indexing strategies, query optimisation, and handling production issues. Experience building and operating backend services using .NET/C#, with a solid understanding of microservice architectures and distributed systems. Experience designing and working with asynchronous messaging and event-driven systems, using Kafka, IBM MQ, or similar technologies. Experience running services in containerised and orchestrated environments (Docker, Kubernetes/OpenShift), with awareness of scaling, resilience, and failure modes. Experience contributing to or owning CI/CD pipelines for database changes and deployment automation, with a focus on safe, repeatable releases. A collaborative engineering mindset, with a willingness to share knowledge, learn continuously, and improve how the team builds and runs software. Meritorious with experience from financial services, payments, or other regulated environments. Strong communication skills, with fluency in English; Swedish is a plus