Infotree Service Sweden Filial

ELECTRICAL CONSTRUCTION MANAGER Location: Zurich, Switzerland Our client is a leading engineering and construction company delivering complex projects across Europe, with a strong focus on data centres, life sciences and semiconductor facilities. They are looking for an experienced Electrical Construction Manager to oversee site activities in Zurich, ensuring work is delivered safely, on schedule and within budget. This is a hands-on role suited to someone with a strong construction background who can manage site teams, coordinate subcontractors and keep projects moving in a demanding environment. KEY RESPONSIBILITIES * Manage day-to-day site operations and ensure work is carried out safely and in line with project requirements. * Work closely with the project team and safety advisors to maintain site safety standards and ensure all safety documentation is completed. * Oversee quality assurance processes, including the preparation, maintenance and close-out of QA documentation. * Monitor project schedules, track progress and address delays or issues that could affect delivery. * Manage project costs, including labour, materials, plant, equipment, variations and valuations. * Lead and coordinate the project team, ensuring all discipline leads are working towards the same objectives. * Manage subcontractors, monitor progress and resource levels, and hold regular meetings to review performance against the programme. * Review weekly progress reports, identify potential risks and keep stakeholders informed of any delays, design issues or resource shortages. * Work with the commercial team to ensure variations are recorded, costs are tracked and changes are managed correctly. * Ensure labour hours, subcontractor hours and weekly safety statistics are reported accurately. * Maintain up-to-date project, safety and quality documentation. * Oversee snagging and punch-list activities, ensuring outstanding works are completed. * Support project handover and close-out, including final accounts, O&M manuals, safety and quality files, and equipment and material transfers. * Attend site meetings, planning and coordination meetings, project reviews and handover meetings. * Promote a strong safety and quality culture across the project team and subcontractors. REQUIREMENTS * A relevant trade background or third-level qualification in electrical engineering, construction or a related field. * Strong knowledge of the design and construction process. * Proven experience managing and coordinating large-scale construction projects. * At least four years of experience in a construction management role, ideally within mechanical or electrical construction. * Experience managing site teams, subcontractors, project schedules and budgets. * A good understanding of cost control, variations and change management. * Strong organisational and communication skills. * The ability to work under pressure and meet tight project deadlines. * Good working knowledge of Microsoft Office and MS Project. WHAT’S ON OFFER? * The opportunity to work on major engineering and construction projects in Switzerland. * A role with responsibility for site delivery, team coordination and project performance. * Access to professional development, training and mentoring opportunities. * The chance to develop your career within an international engineering and construction business. * Exposure to complex projects and modern construction methods. INTERESTED? If you have the experience to manage site operations and deliver projects to a high standard, we would like to hear from you. Apply today or get in touch to find out more about this opportunity in Zurich.

LOCATION & WORKING MODEL Hybrid | 3 days onsite / 2 days remote in Warsaw ---------------------------------------------------------------------------------------------------------------------------------- ABOUT THE TEAM: Join a global engineering organisation of approximately 75 professionals across 7 locations worldwide, including 21 colleagues across EMEA and 11 within WSW. The team develops and supports modern backend services that underpin critical business functions. Engineering excellence, automation, cloud-native technologies, and effective collaboration across international teams are at the heart of the way we work. ---------------------------------------------------------------------------------------------------------------------------------- THE ROLE: We are looking for an experienced Java Backend Engineer with a minimum of 3 years of commercial software engineering experience. In this role, you will design, develop, and maintain scalable backend applications using Java and Spring Boot. You will work in a modern, agile engineering environment and contribute across the full software development lifecycle, collaborating with engineers across multiple regions. The role offers the opportunity to work with a modern technology stack spanning event-driven architecture, Kubernetes, CI/CD, observability, and AI-assisted software development. ---------------------------------------------------------------------------------------------------------------------------------- WHAT YOU'LL DO: * Design, develop, and maintain scalable backend services using Java and Spring Boot. * Build and support event-driven solutions using Kafka. * Develop and deploy cloud-native applications on Kubernetes. * Implement and maintain CI/CD pipelines with GitLab. * Monitor and improve application performance using Prometheus, Grafana, and the Elastic Stack. * Collaborate with distributed engineering teams throughout the software development lifecycle. * Contribute to code quality, automation, engineering standards, and best practices. * Leverage modern AI-assisted development tools to improve engineering productivity. ---------------------------------------------------------------------------------------------------------------------------------- WHAT WE'RE LOOKING FOR: EXPERIENCE * 3+ years of professional software engineering experience. * Strong commercial experience in Java backend development. * Experience working with modern SDLC practices and GitLab. * Good understanding of containerisation and orchestration, particularly Docker and Kubernetes. * Strong analytical and problem-solving capabilities. * Experience working effectively in an international, distributed engineering environment. EDUCATION * Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent commercial experience. ---------------------------------------------------------------------------------------------------------------------------------- NICE TO HAVE: Experience in any of the following would be advantageous: * Securities settlements and post-trade processing within financial services. * AWS. * AI-assisted development tools beyond GitHub Copilot. ---------------------------------------------------------------------------------------------------------------------------------- WHY JOIN? * Work as part of a globally distributed engineering organisation. * Build and support modern, cloud-native backend solutions. * Work with contemporary technologies including Kubernetes, GitLab CI/CD, Kafka, and modern observability tooling. * Use AI-powered development assistants as part of the engineering workflow. * Collaborate with experienced engineers across multiple international locations. ---------------------------------------------------------------------------------------------------------------------------------- TECHNOLOGY STACK Backend: Java, Spring Boot Messaging: Kafka Cloud & Platform: Kubernetes, Docker, AWS GitOps / CI/CD: Argo CD, GitLab CI/CD, Git Observability: Prometheus, Grafana, Elastic Stack Development: IntelliJ IDEA / VS Code, GitHub Copilot AI-assisted Development: GitHub Copilot, with additional tools such as Claude or Devin preferred ----------------------------------------------------------------------------------------------------------------------------------

About the Role: We are looking for an experienced Applied AI / Machine Learning Software Engineer to join a high-performing team working at the intersection of artificial intelligence, software engineering, and quantitative investment. The successful candidate will collaborate with research and engineering teams to design, develop, and productionize advanced machine-learning systems and applications supporting quantitative investment workflows. This is a senior-level role combining AI/ML research, software engineering, quantitative finance, and technical leadership. Key Responsibilities: * Collaborate with research and engineering colleagues to advance production-grade machine-learning systems and applications. * Conceptualize, prototype, experiment with, and evaluate AI/ML-based software solutions. * Translate research concepts and experimental results into reliable, scalable production systems. * Develop, test, and maintain high-quality, production-ready software. * Design and implement reusable libraries, frameworks, and infrastructure supporting reliable and testable systems. * Contribute to quantitative investment workflows across areas such as equities, fixed income, or multi-asset strategies. * Take ownership of technically complex, cross-team initiatives and provide technical leadership. * Work closely with quantitative researchers, engineers, and other stakeholders to solve complex business and technical problems. * Contribute to engineering best practices, code quality, testing, and system reliability. * Represent the organization at relevant industry conferences and contribute to open-source communities where appropriate. Requirements: * Master's or PhD degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or a related discipline; equivalent relevant industry experience will also be considered. * 5+ years of professional industry experience in software engineering, machine learning, quantitative technology, or a closely related field. * Strong software-development experience in Python, C++, Java, or comparable modern programming languages. * Extensive experience developing software supporting quantitative investment workflows. * Strong understanding of one or more investment areas, such as: * Equities * Fixed Income * Multi-Asset Strategies * Practical experience designing and implementing machine-learning or AI systems. * Strong understanding of software engineering principles, including testing, maintainability, scalability, and reliability. * Experience building reusable libraries, frameworks, or platforms. * Ability to work effectively across research, engineering, and business teams. * Demonstrated ability to take ownership of complex technical projects and provide technical leadership. Preferred Experience: * Experience taking ML/AI solutions from research or experimentation into production. * Experience with quantitative research, portfolio analytics, financial modelling, or investment technology. * Experience working with financial time-series data and large-scale datasets. * Experience with distributed computing, cloud technologies, or high-performance computing. * Contributions to open-source projects, technical publications, or presentations at industry conferences. * Experience working in a highly collaborative, research-driven engineering environment. Ideal Candidate Profile: The ideal candidate combines strong software engineering fundamentals with practical AI/ML expertise and a solid understanding of quantitative investment. They are comfortable moving between research and production engineering, can independently lead technically complex initiatives, and have a track record of building robust systems that are used by quantitative researchers or investment professionals.