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Platform Engineer

Platform Engineer

Senior Network Software Validation Engineer – AI Clusters

NVIDIA

Zurich

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Role description

NVIDIA is the world leader in accelerated computing, powering the AI revolution across the world's largest data centers, clouds, and supercomputers. Within NVIDIA, the Networking Business Unit (NBU) builds the high-speed interconnect—including Ethernet, InfiniBand, NVLink, and BlueField DPUs—that connects thousands of GPUs into a single AI supercomputer, moving data at the scale and speed required by the world's most demanding AI workloads.

NVIDIA is looking for a Senior Network Software Validation Engineer to join our Network Cluster Solutions (NCS) Validation group. You will work on validating advanced networking solutions across complex NVIDIA AI cluster environments. The group is a high-performance engineering force that treats validation as a first-class software problem. We build systems, frameworks, and benchmarks that prove the correctness, reliability, and performance of NVIDIA networking solutions at scale. This role combines the development of validation methodologies and automation tools with hands-on debugging, performance analysis, and investigation of cutting-edge AI networking technologies at scale.

What You'll Be Doing

  • Design validation methodologies, review product requirements, and develop comprehensive test plans for networking technologies in large-scale AI cluster solutions.
  • Develop and maintain automation tools and scripts for test execution, environment setup, log collection, and data analysis.
  • Execute functional, regression, performance, scale, and reliability testing across networking and AI cluster solutions.
  • Own end-to-end investigation of complex customer issues by reproducing real-world scenarios, analyzing logs, telemetry, packet captures, and system metrics to identify functional issues and performance bottlenecks, triaging problems across the hardware and software stack, and driving them to root cause and resolution.
  • Read and understand source code (C/C++/Python) to investigate defects, validate fixes, and improve logging, instrumentation, and debugging capabilities.
  • Collaborate closely with software and hardware development teams to debug networking technologies, including NCCL, RoCE, RDMA, and related software components using targeted experiments and code inspection.
  • Profile and benchmark AI training and inference workloads, correlating application behavior with network and system telemetry to identify scalability and performance limitations.
  • Document findings, communicate technical results, and continuously improve validation methodologies, automation, and engineering processes.

What We Need To See

  • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
  • 8+ years of hands-on experience in networking, system validation, software testing, or system-level debugging on Linux.
  • Strong Linux systems knowledge and networking debugging experience in scale.
  • Proven experience debugging complex production systems by forming hypotheses, designing experiments, and driving issues to root cause.
  • Ability to read and reason about source code and collaborate closely with development teams to validate fixes.
  • Strong scripting and automation experience using Python, Bash, and/or Ansible.
  • Excellent analytical, troubleshooting, communication, and collaboration skills with a strong sense of ownership.
  • Fast learner with curiosity for AI infrastructure, distributed systems, and modern AI-assisted engineering tools.

Ways To Stand Out From The Crowd

  • Strong knowledge of AI networking technologies including NCCL, RoCE, and RDMA, with experience debugging both correctness and performance issues at scale.
  • Deep understanding of congestion control and lossless Ethernet technologies for AI workloads, including DCQCN, ECN, and PFC.
  • Experience debugging issues spanning multiple layers, including networking (L2/L3), transport protocols, operating systems, AI frameworks, and distributed applications.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Platform Engineer

Fintech Software Entwickler (F#, C#, React)

vlot Ltd.

Zurich

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Role description

Wir definieren die Zukunft der finanziellen Vorsorge neu.

vlot ist ein in Zürich ansässiges SaaS-Unternehmen, das die Art und Weise verändert, wie finanzielle Absicherung und Vorsorge im B2B-Umfeld bereitgestellt werden.

Unsere Plattform übersetzt komplexe Finanz- und Pensionsdaten in klare, handlungsorientierte Empfehlungen – und ermöglicht es Versicherern, Banken, Brokern und Pensionskassen, ihren Kunden mehr Transparenz, Sicherheit und langfristige finanzielle Stabilität zu bieten.

Das Angebot kombiniert eine modulare SaaS-Plattform mit fachlicher Beratung, um ganzheitliche Financial-Wellbeing-Lösungen zu liefern – individuell, integriert, datenbasiert und stets im Einklang mit regulatorischen Anforderungen.

Gemeinsam mit unseren Partnern gestalten wir eine Zukunft, in der finanzielle Vorsorge nicht nur individuelle Sicherheit schafft, sondern auch die Resilienz der Gesellschaft stärkt.

Aufgaben

  • Software Entwicklung in Frontend und Backend

  • Mitgestalten der Architektur

  • Code Reviews und Wissenstransfer im Team

  • Automatisierung und DevOps mit Terraform auf Azure

  • Ideation und Feature Design mit unseren Finanzexperten und Kunden

  • Bugfixing, Entwicklung von Unit- und Integrationtests

  • UI/UX Entwicklung in Zusammenarbeit mit Designern

  • Mitarbeit und Verbesserungen an von uns eingesetzten Open Source Projekten

Qualifikation

  • Fundierte Ausbildung (FH, Uni oder HF) Richtung Informatik

  • Berufserfahrung in der Software Entwicklung

  • Tech ist deine Passion

  • Interesse an funktionalen Programmiersprachen

  • Idealerweise Mitarbeit in Open Source Projekten

  • Erfahrung mit Azure, Cloud-Automatisierung, SQL-Datenbanken vorteilhaft

  • Linux-Erfahrung von Vorteil (NixOS, Alpine, Ubuntu, ...)

  • Fliessend mündlich und schriftlich Deutsch und Englisch

Benefits

  • Wachse mit uns und gestalte die Zukunft von vlot!

  • Remote/Home Office (in der Schweiz)

  • Inspirierendes & motivierendes Umfeld - Lerne jeden Tag was Neues!

  • Direkter Austausch und enge Zusammenarbeit: Tech, Business & Strategie

  • Dynamisches InsurTech mit interdisziplinärem, erfahrenem Team

  • Teilnahme an spannenden Ideation Workshops bei/mit Kunden

  • Keine ausgeprägten Hierarchien - Jede Idee zählt, egal von wem

  • Flexible Arbeitszeiten sowie Teilzeitpensum möglich

  • Attraktive Entlöhnung mit mögl. Partizipation am Unternehmenserfolg

Gestalte die Zukunft der finanziellen Vorsorge mit vlot und bewirb dich als Fintech Software Entwickler - wir freuen uns darauf!

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Platform Engineer

Test Automation Engineer (80-100%)

TWINT

Zurich

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Role description

At TWINT, we believe that innovation should make our lives and coexistence better. It should help us focus on the things that really matter: the experiences that move us, the people who are close to us, and all the things that move us forward together. That's why we're constantly making our everyday lives easier—because payment and everything around it can be smoothly integrated into our lives, and we no longer have to worry about it. This allows each of us to make more of the moment, on both a small and large scale, for ourselves, for others, and for the whole of Switzerland.

Shape the future of digital payment solutions together with us and become part of the TWINT success story! Mobile payment is our passion, and it doesn't stop there. Do you want to create an impact with TWINT and to work in dynamic and innovative teams in Zurich? Then you are exactly right with us as
Automation Engineer 80-100% in Zurich
with option of Home Office.

As an Automation Engineer you will design, implement, and maintain test and process automation solutions that improve quality, accelerate delivery, and enable innovation across TWINT. The role requires hands‑on expertise in test automation, strong software engineering skills, and practical experience with large language models (LLMs) to drive AI‑enabled process improvements and new product capabilities.

Key Responsibilities

  • Test Automation:
    Design and implementation of automated tests for APIs, web, and mobile applications, including early integration into the development lifecycle (shift-left testing).
  • Test Frameworks & Quality Engineering:
    Build, maintain, and enhance scalable test frameworks with test data management, reporting, and parallel execution capabilities.
  • Test Data & Environment Management:
    Ensure reliable and repeatable test execution through effective management of testdata and environments.
  • Process Automation:
    Develop and maintain AI-driven and business workflows to automate manual processes and increase operational efficiency.
  • System Integration:
    Integrate automation solutions seamlessly into existing systems and CI/CD pipelines for end-to-end process optimization.
  • AI & LLM Solutions:
    Design and build custom LLM agents and AI components tailored to business needs, including prompt and context engineering.
  • Innovation & Value Creation:
    Identify, prototype, and scale generative AI and LLM use cases to drive innovation across products and operations.

Professional Requirements

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent and at least 5 years of experience in software engineering, test automation, or a related field.
  • Proven track record in building and maintaining test frameworks (including test data management, reporting, and parallelization).
  • Strong understanding of object-oriented principles with hands-on experience in Java, Python, and scripting (e.g., Bash).
  • Practical experience on cloud platforms (e.g. Azure) with pipeline-as-code (e.g., GitHub Actions), automated build/test workflows, and modern DevOps practices (including Docker/Kubernetes).
  • Experience with process automation tools and building LLM-based solutions (including prompt/context engineering; Windmill is a plus).
  • Excellent verbal and written communication skills; able to explain technical concepts clearly to diverse stakeholders.
  • Proactive, curious, and self-driven professional with a strong understanding of modern SDLC and agile practices; works effectively with minimal supervision and confidently challenges the status quo while taking calculated risks to drive continuous improvement.
  • Languages: Fluent in English; German is a plus.

What awaits you:

  • Career and development:
    Shape your professional future through exciting tasks and challenges, as well as comprehensive further education opportunities in an innovative technology company.
  • Work-life balance:
    Enjoy 6 weeks of vacation time and benefit from flexible working hours with the option to work from home.
  • Balancing work and family:
    Benefit from additional perks such as increased family allowances and more parental leave.
  • Team spirit and positive work atmosphere:
    Experience a collegial and healthy work culture, accompanied by regular events that strengthen collaboration.
  • Fair and competitive compensation:
    At TWINT, we focus on a fair wage culture & fair pay. We also offer attractive additional benefits.
  • Central locations:
    Our offices are located in the heart of Zurich and Bern and are easily accessible by public transport

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Platform Engineer

Server Engineer

Affidea Switzerland

Zurich

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Role description

Affidea is a leading healthcare provider operating 40 medical centers across Switzerland. We are growing rapidly with the ambition to transform healthcare through integrated care, value-based healthcare, digital innovation and clinical excellence. Joining Affidea means becoming part of a dynamic international organization where you can help shape the future of healthcare while making a meaningful difference for patients every day.

About The Role
As a
Server Engineer
, you will play a key role in ensuring the reliability, security and performance of Affidea's IT infrastructure across Switzerland.

You will design, implement, operate and continuously improve server and system environments supporting critical healthcare services. Acting as the infrastructure expert, you will contribute to strategic IT projects, define infrastructure standards and support the evolution of our technology landscape.

Your responsibilities

  • Gather and prioritize infrastructure requirements from projects and business stakeholders
  • Design, implement and maintain server and storage infrastructure
  • Prepare and review technical specifications
  • Represent server infrastructure in IT projects and governance meetings
  • Collaborate closely with network, security and application teams
  • Manage the server asset inventory and infrastructure lifecycle
  • Plan capacity, investments and hardware replacement
  • Coordinate supplier selection and procurement activities
  • Define infrastructure standards (Windows Server, Linux, VMware, patch management, virtualization)
  • Maintain accurate technical documentation
  • Provide 2nd level support across Switzerland
  • Coordinate 3rd level support with the Group IT teams
  • Manage external infrastructure providers
  • Proactively communicate risks, issues and improvement opportunities

We are looking for someone who brings both strong technical expertise and a collaborative mindset.

Technical skills

  • Proven experience as a Server Engineer, Infrastructure Engineer or in a similar role
  • Strong knowledge of Windows Server and/or Linux administration
  • Solid experience with virtualization technologies (VMware, ESXi, Hyper-V, VDI)
  • Experience with server, storage and infrastructure lifecycle management
  • Good understanding of infrastructure security, patch management and system administration
  • Experience working with external vendors and IT service providers
  • Experience participating in infrastructure or digital transformation projects

Personal skills

  • Strong analytical and problem-solving skills
  • Structured, organized and solution-oriented mindset
  • Ability to manage multiple priorities and deadlines
  • Strong communication and stakeholder management skills
  • High level of accountability and ownership
  • Collaborative team player with a proactive attitude

Languages

  • Fluent English is required
  • Fluent French or German is required

Nice to have

  • Experience in the Swiss healthcare sector
  • Experience working in an international environment
  • Knowledge of IT governance and infrastructure standards

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Platform Engineer

Delivery Consultant - AI/ML, Professional Services - AWS Industries

Amazon Web Services (AWS)

Zurich

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Role description

Description
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

Key job responsibilities

As an experienced technology professional, you will be responsible for:

  • Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
  • Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
  • Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
  • Acting as a trusted advisor to customers on industry trends and emerging technologies
  • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

About The Team
About AWS:

Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic Qualifications

  • Experience developing software code in one or more programming languages (java, python, etc.)
  • Bachelor's degree in computer science or equivalent
  • 3+ years of cloud architecture and solution implementation experience
  • 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)

Preferred Qualifications

  • AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
  • Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
  • Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
  • Experience scripting for automation (e.g., Python, Perl, Ruby)
  • Knowledge of security and compliance standards including HIPAA and GDPR
  • Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
  • Master's degree in computer science, computer engineering, or related field, or PhD

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy\_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how\-we\-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company
- AWS EMEA SARL (Switzerland Branch)

Job ID: A10492739

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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Senior Network Software Validation Engineer – AI ClustersNVIDIA · Switzerland

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Senior Network Software Validation Engineer – AI Clusters — NVIDIA | mentors.coach