
Hybrus AB · Unknown
Location: Sweden (Hybrid) Level: Mid–Senior Security Clearance: Swedish Security Level 2SE required ABOUT THE ROLE We are looking for an experienced Kubernete...
Location: Sweden (Hybrid)
Level: Mid–Senior
Security Clearance: Swedish Security Level 2SE required
We are looking for an experienced Kubernetes Operations Engineer to join our team in Sweden on a consulting basis. In this role you will be responsible for the day-to-day administration, stability, security and lifecycle management of Kubernetes clusters — whether self-managed (kubeadm, Rancher, OpenShift) or managed cloud offerings (AKS, EKS, GKE). You will work closely with development, platform and security teams to ensure container workloads run reliably, efficiently and securely at scale.
⚠️ This position requires Swedish Security Clearance Level 2SE (Säkerhetsskyddad anställning, nivå 2).
An extended background check will be conducted as part of the hiring process. To be eligible, candidates must have resided in Sweden for the past 3 years without interruption. Candidates who do not meet this residency requirement cannot be considered for this role.
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 OpenShift/Azure Red Hat OpenShift (ARO) Consultant What You Will Work On Implement, configure, and optimize Azure Red Hat OpenShift (ARO) environments. Support the development and continuous improvement of the OpenShift platform. Monitor platform capacity, performance, and resource utilization. Implement scaling strategies and automate platform operations where appropriate. Collaborate with internal teams to deploy and maintain OpenShift in SDDC and Azure environments. Support application onboarding, testing, and migration to the ARO platform. Configure networking, connectivity, and platform integrations with existing enterprise systems. Implement platform security controls and ensure compliance with regulatory requirements. Develop and maintain platform documentation, configurations, operational procedures, and best practices. Provide technical guidance, knowledge transfer, and training to internal teams. Troubleshoot platform-related issues and support ongoing operational improvements. Work closely with infrastructure, security, DevOps, and application development teams. What You Bring Strong experience with OpenShift and Azure Red Hat OpenShift (ARO). Experience designing, implementing, and managing container platform environments. Strong knowledge of Kubernetes and container orchestration technologies. Experience working with Azure cloud services and hybrid cloud environments. Experience with Software-Defined Data Center (SDDC) environments is an advantage. Knowledge of platform performance tuning, capacity planning, and resource optimization. Experience implementing automation for platform management and operations. Strong understanding of networking, connectivity, and security within container platforms. Experience supporting application deployment and migration to OpenShift platforms. Knowledge of platform security, governance, and regulatory compliance. Experience creating technical documentation, operational procedures, and platform guidelines. Strong troubleshooting and problem-solving skills. Experience collaborating with infrastructure, DevOps, security, and development teams. Excellent communication skills and ability to provide technical guidance and knowledge transfer.
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
WorkNomads is seeking a Software R&D Team Lead to join our diverse team, working remotely from the EU or from the WorkNomads base in Sofia, Bulgaria. The Software R&D Team Lead is responsible for leading and developing a team of software engineers working on specialized software development, including AI-integrated neurotech, industrial, and mobile applications systems. Success in this role requires exceptional communication skills, the ability to make informed decisions under uncertainty, and a strong sense of ownership. You will collaborate with product, design, and operations teams, challenge assumptions constructively, and support the engineering organization in delivering sustainable value over time. Key Duties and Responsibilities: • Lead, grow and develop a team of software engineers working on specialized software development, including AI-integrated neurotech, industrial, and mobile applications systems. • Build strong observability, incident management, and release pipelines to maintain high service availability and velocity. • Get hands-on contributing to software design, architecture, implementation and testing • Provide technical leadership to the team members. • Represent the team during collaboration with other cross-functional teams. • Support the performance goals definition, their monitoring and execution. • Set the technical roadmap, choose the right tech stack, align engineering goals with our overarching business objectives and manage it Requirements The tools in your backpack: • 10+ years experience in software engineering with at least 3 years in senior technical leadership role. • Demonstrated ability to build and lead high-performing engineering teams • Proficiency and/or high experience with C#, C++, Python • Experience with mobile development platforms (iOS, Android, Flutter) • Proficiency in API design, microservices, and data security • Extensive experience with proven track record of leading technology teams in software product development • Strong understanding of AI technologies and ability to integrate AI/ML • Deep understanding of CI/CD pipelines, testing frameworks, observability • Expert knowledge of general software engineering concepts, e.g. design patterns, algorithms, and data structures. • University degree in the field of computer science, applied mathematics, electronic engineering or comparable qualifications. • Fluent written and spoken English (C1 level). Other nice-to-have tools: • Familiar with neuroscience, industrial communication and voice-driven user interaction technologies is a plus • Familiar with cloud-native driven services using Kubernetes, Terraform or similar technology is a plus • Experience with cloud platforms such as AWS, Google Cloud, or Azure and DevOps practices is a plus Benefits Perks of being one of us: Flexible work setup: work fully remotely from any country in the EU on a freelance/B2B contract, or join our Sofia, Bulgaria office under a local employment contract that offers a comprehensive social welfare package. Autonomy: an environment where your technical vision matters, and you own your work-life balance. Growth: a personalized career development program to fuel your journey; learn from experts, expand your craft, and work across industries. Global vibe: an international, dynamic, remote-first workplace. Connectivity Support: coverage for internet and phone bills (50 EUR gross). Total Rewards: paid time off and competitive remuneration. Community: team get-togethers and networking events are in our DNA! Seamless Living: need a base? Digitally check into a spacious room at our WN LAB Hotel, Bulgaria’s biggest and coolest 4★ co-living hotel. No deposit, with special discounted rates for single apartments starting from 660 EUR/month (utilities & cleaning included!). Be part of something beyond work: culture, values, impact. How to Apply / What Happens Next: 1. Send us your CV by hitting the “Apply” button. 2. You will hear from one of our Global Talent Connectors within 5 business days with the next steps. 3. Meet us on MS Teams and tell us what excites you. 4. Next stage could be a test or a task - we want to see what you DO (not just what you say) 5. Along this journey and depending on the role you are applying for, prepare to meet either our Chief Talent Gaucho, your future leader or our Head Honcho!