This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Information Technology - Software Engineer in Switzerland.

This is an exciting opportunity for a skilled software engineer with expertise in data engineering, cloud infrastructure, and DevSecOps practices to join a highly technical and fast-paced environment. In this role, you will contribute to the development and optimization of scalable data platforms and distributed query systems supporting enterprise-grade operations. You will work with modern cloud-native technologies, automation frameworks, and infrastructure-as-code tools to improve performance, reliability, and security across complex systems. The position offers strong exposure to Kubernetes environments, data governance initiatives, and advanced Linux administration tasks. Collaborating with cross-functional engineering teams, you will help design and maintain efficient, secure, and high-performing data architectures. This role is ideal for professionals who enjoy solving technical challenges and building scalable infrastructure solutions within modern cloud ecosystems.

This role focuses on building, maintaining, and optimizing secure data engineering and cloud infrastructure solutions in distributed environments.

• Design, implement, and maintain scalable data engineering and DevSecOps solutions
• Support and optimize distributed query engines and modern data architectures
• Develop and maintain infrastructure automation and deployment workflows using Infrastructure-as-Code methodologies
• Manage and enhance Kubernetes-based containerized environments and cloud-native systems
• Configure, troubleshoot, and optimize platforms built on technologies such as Starburst Enterprise, Trino, or Presto
• Develop advanced Linux scripting solutions and support system administration activities within enterprise environments
• Implement and maintain data governance, access controls, and security best practices at scale
• Collaborate with engineering and operations teams to improve system reliability, scalability, and performance
• Monitor, troubleshoot, and resolve infrastructure and application performance issues
• Contribute to cloud platform management and automation initiatives across environments such as AWS or Azure
• Support continuous improvement of deployment processes, infrastructure security, and operational efficiency

Requirements:

The ideal candidate combines strong cloud engineering expertise with hands-on experience in distributed data systems, automation, and infrastructure management.

• 3+ years of experience in Data Engineering and/or DevSecOps roles
• Strong hands-on experience with Starburst Enterprise, Trino, or Presto
• Strong experience with advanced Linux scripting and system administration
• Experience working with Red Hat Enterprise Linux and automation tools such as Ansible
• Experience with data table formats such as Iceberg, Hive, or similar technologies
• Solid understanding of distributed query engines and large-scale data architectures
• Hands-on experience with cloud platforms including Amazon Web Services or Microsoft Azure
• Practical experience with Kubernetes, Docker, and Infrastructure-as-Code tools such as Terraform
• Proficiency in at least one programming language such as Python
• Experience implementing enterprise-level security, governance, and access control practices
• Strong troubleshooting, debugging, and performance tuning skills
• Strong analytical mindset and ability to work effectively in collaborative technical environments
• Excellent communication and problem-solving abilities

Benefits:

• Fully remote work environment with flexible working arrangements
• Opportunity to work on enterprise-scale cloud and data engineering projects
• Exposure to cutting-edge cloud-native, Kubernetes, and distributed data technologies
• Collaborative environment with highly skilled engineering teams
• Opportunities for technical growth and continuous learning
• Participation in modern DevSecOps and infrastructure automation initiatives
• Dynamic and innovation-driven work culture
• Long-term career development opportunities within advanced technology environments
• Flexible and supportive remote-first workplace

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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