2 months ago

System Engineer (m/w/d) (Zurich, CH)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

System Engineer at a cutting-edge tech environment, bridging software development, infrastructure, operations, and AI-enabled systems. You’ll design, implement, and run end-to-end platforms, collaborate with DevOps, security and software teams, and address security, cryptography, and data-sensitive AI workloads on-premise. Focus on reliability, scalability, and continuous improvement in a fast-paced, agile setting.

Location: Zurich

Workplace: Onsite

Employment Type: Full time

Key Responsibilities

•Own end-to-end system design, deployment, operation, and documentation from concept to runbook
•Collaborate in agile, interdisciplinary teams with software engineers, architects, DevOps, security specialists and project managers
•Assist in analyzing, specifying, and implementing customer, system, security, and operations requirements
•Contribute to designing end-to-end solutions linking software, infrastructure, and operations
•Ensure system stability, performance, scalability, and continuous improvement

Key Requirements

•3+ years of experience in System Engineering, Infrastructure Engineering, Platform Engineering, DevOps or similar in a complex environment
•Strong collaboration with software development teams and cross-functional partners (DevOps, security, project management)
•Solid understanding of modern system architectures, deployment models and integration patterns
•Experience with Linux-based systems, networks, virtualization and container technologies (Docker, Kubernetes)
•Affinity for AI technologies and interest/experience in running LLMs on-premise, AI inference services or data-sensitive AI environments

Experience:3+ yearsIT infrastructureDevOpsAI platforms

Skills:TeamworkCommunicationProblem-solvingAnalytical thinkingAttention to detail

Languages:GermanEnglish

Tech Stack:LinuxDockerKubernetesLLMsOn-premiseAI platformsCryptographyEncryptionCertificatesSecurity

Eligibility

Nationality:Swiss National

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Atos

Global digital services and consulting firm delivering cloud, cybersecurity, big data, digital workplace, and managed services to enterprise and public sector clients. Provides IT transformation, systems integration, and outsourcing solutions worldwide.

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bezons, France

Founded: 1997

Website LinkedIn

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Atos

2 months ago

System Engineer (m/w/d) (Zurich, CH)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Zurich

Workplace: Onsite

Employment Type: Full time

Key Responsibilities

•Own end-to-end system design, deployment, operation, and documentation from concept to runbook
•Collaborate in agile, interdisciplinary teams with software engineers, architects, DevOps, security specialists and project managers
•Assist in analyzing, specifying, and implementing customer, system, security, and operations requirements
•Contribute to designing end-to-end solutions linking software, infrastructure, and operations
•Ensure system stability, performance, scalability, and continuous improvement

Key Requirements

•3+ years of experience in System Engineering, Infrastructure Engineering, Platform Engineering, DevOps or similar in a complex environment
•Strong collaboration with software development teams and cross-functional partners (DevOps, security, project management)
•Solid understanding of modern system architectures, deployment models and integration patterns
•Experience with Linux-based systems, networks, virtualization and container technologies (Docker, Kubernetes)
•Affinity for AI technologies and interest/experience in running LLMs on-premise, AI inference services or data-sensitive AI environments

Experience:3+ yearsIT infrastructureDevOpsAI platforms

Skills:TeamworkCommunicationProblem-solvingAnalytical thinkingAttention to detail

Languages:GermanEnglish

Tech Stack:LinuxDockerKubernetesLLMsOn-premiseAI platformsCryptographyEncryptionCertificatesSecurity

Eligibility

Nationality:Swiss National

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Atos

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bezons, France

Founded: 1997

Website LinkedIn