5 beste Stellen als data science machine learning python in zürich, zh – aktuell auf Personalsuche

Sr. DevOps Engineer
QSC, LLC —Zürich, ZH
- 100%
- Management-Erfahrung
- C++
- Bachelor
Mid / Senior SLAM Engineer
Gravis Robotics —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
Senior Software Engineer - Distributed Systems
Decentriq —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Bachelor
Direkt bewerben
Praktikum Security Software Engineering und Machine Learning
Ergon Informatik AG —Zürich, ZH
- CHF 56’400 - CHF 68’400 pro Jahr
- Teilzeit
- C++
- Bachelor
- Linux
Direkt bewerben
3 Std.
Pricing Aktuar Special Lines (m/w/d) 70-100%
Zurich Insurance —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- Englisch
- Master
- Bachelor
1 Std.

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Sr. DevOps Engineer
QSC, LLC —Zürich, ZH
Enhance and maintain tools and infrastructure for efficient software development by understanding and addressing the needs of the development teams.
Mid / Senior SLAM Engineer
Gravis Robotics —Zürich, ZH
Our Rooftop Autonomous Control Kit (Rack) combines sensors, compute, communication and networking modules toward a manufacturer-agnostic solution that can be…

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Sr. DevOps Engineer

QSC, LLC -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%

Qualifikationen

CI/CD
Management-Erfahrung
Bash
C++
Docker
Bachelor
JavaScript
Terraform
Scripting
Softwareentwicklung
GitHub
Linux
Robotik
GitLab
Python
Debugging

Vollständige Stellenbeschreibung

Overview:

As a Senior DevOps Engineer in the intelligent AV team, you will be a key member of the iAV Platform team. In this role, you will collaborate with experienced Software, Robotics, and Machine Learning Engineers to advance the next generation of intelligent audio-video systems for meeting spaces and smarter buildings. Your focus will be on improving our pace and ability to deliver high-quality software by developing and maintaining infrastructure and automation for the VisionSuite product and the broader Q-SYS platform.

You will design and evolve CI/CD tooling, pipelines, and testing frameworks, track development metrics, and build infrastructure that empowers engineers to deliver reliably and efficiently. Your expertise will also help us distribute our application across the edge and extend it into the cloud, leveraging Azure and modern DevOps practices to serve customers from Fortune 100 boardrooms, auditoria and meeting spaces around the world.

This position is a hybrid position based in Zurich, Switzerland.

Responsibilities:

Your mindset:

You have a strong distaste for friction and care deeply about your team’s ease and speed of development.
You love to architect and build infrastructure, both in the cloud and at the edge.
You champion continuous improvement, share best practices, and uplift your team.
You have a strong belief in software development best practices.
You apply a systematic, data-driven approach to problem-solving.
You are passionate, persistent, and creative in finding solutions to difficult problems.
Your instinct is to simplify and automate.

Essential Functions:

Enhance and maintain tools and infrastructure for efficient software development by understanding and addressing the needs of the development teams.
Support the creation of reliable and consistent software releases, coordinating with the broader release team when required.
Oversee and improve automated CI/CD pipelines (GitLab, GitHub), maintaining cloud infrastructure in Google Cloud and Azure for runners and ensuring fast, reliable delivery.
Collect and analyze development metrics to enhance pipeline architecture and improve speed, reliability, and efficiency.
Develop and maintain scalable Infrastructure as Code (IaC) for all infrastructure (Terraform, Bicep, Ansible).
Promote and implement DevOps and Security best practices, including CI/CD security integration (SAST, SCA, DAST).
Mentor and advise other engineers and advocate for automation and continuous improvement across the team.
Contribute to platform and product features with a focus on deployment, scalability, security, and backend infrastructure.
Stay current with emerging trends in cloud technologies, DevOps, and automation.

Qualifications:

Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or equivalent.
7+ years of experience in a software development environment, with at least 5 years in DevOps, Build & Release, or Site Reliability Engineering.
Strong programming/scripting skills in Python, Bash or JavaScript.
Strong software design, problem-solving, and debugging skills.
Strong Linux background and familiarity with development workflows and tooling on Linux.
Deep experience with building and maintaining CI/CD pipelines (some of GitLab, GitHub, Azure DevOps, Jenkins).
Proven expertise with major cloud providers, with preference for Azure.
Strong experience with Docker and containerization technologies; familiarity with orchestration tools such as Kubernetes and Helm is a plus
Hands-on experience with IaC, primarily Terraform and Ansible
Familiarity with security best practices for CI/CD pipelines, container security, and secrets management.
Excellent interpersonal skills, capable of independent work and cross-team collaboration.
Preferred experience with one or more of the following:
Development experience with TypeScript, C/C++, Rust, or Go. Experience with monitoring and logging stacks (Grafana, Prometheus, Elasticsearch).
Experience with virtualization tools (KVM, libvirt).
Hands-on experience with enterprise-scale CI/CD for microservice-based cloud applications.

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data science machine learning python Jobs in zürich, zh

Sr. DevOps Engineer

Mid / Senior SLAM Engineer

Senior Software Engineer - Distributed Systems

Praktikum Security Software Engineering und Machine Learning

Pricing Aktuar Special Lines (m/w/d) 70-100%

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