Security Operations Engineer (IoT) (m/w/d)

Role : Test Automation Engineer- (Temenos Core Banking/Private Banking/ Wealth Management)

Location : Zurich Switzerland

Years of Experience : Min. 6+ Years

Please share only EU/Swiss Nationals or with Valid B/C Work Permits.
Job Description
Experience in Temenos Core Banking/Private Banking/ Wealth Management is must.
The Test Automation Engineer will be responsible for designing, developing, executing, maintaining, and optimizing automated test scripts across UI, API, regression, and integration layers using approved automation tools and frameworks.

• Analyse manual test cases and business flows to identify automation feasibility, priority and complexity
• Banking, financial services, payments, lending, digital banking, or core banking automation experience is preferred.
• Design and develop reusable, modular, maintainable, and data-driven automation scripts using agreed framework standards.
• Automate UI, API, regression, smoke, sanity, and end-to-end business scenarios using tools such as Selenium, Appium (Optional), REST-assured, Postman, Cucumber, TestNG, JUnit, or equivalent.
• Integrate automation scripts with CI/CD pipelines using Jenkins, Azure DevOps, GitLab, Maven, Git, or equivalent tools.
• Create and manage test data, parameterization, reusable libraries, page objects, utilities, and common automation components.
• Execute automated test suites, analyse failures, identify script defects versus application defects and report execution outcomes.
• Maintain automation code in a version-controlled repository and follow coding standards, peer review practices and branching strategy.
• Prepare automation execution reports, defect links, screenshots, logs, script handover notes and runbooks for ongoing maintenance.
• Experience in test automation for web, API, mobile, or enterprise applications.
• Hands-on expertise in Selenium WebDriver, Java, Cucumber/BDD, TestNG/JUnit, Maven, Git, and CI/CD integration.
• Experience in API automation using REST-assured, Postman, SOAP UI, or equivalent tools.
• Good knowledge of framework design patterns such as Page Object Model, data-driven testing, keyword-driven testing, reusable components, and reporting libraries.
• Working knowledge of SQL, test data handling, backend validation, debugging, exception handling, and script maintenance.
• Experience with Agile teams, sprint-based automation, regression pack maintenance, and automation reporting dashboards.

Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

As an Amazon Field Engineer, you will provide full life-cycle support to AWS Data Centers from design inception through site improvement and maintenance.

Role
Amazon's vision is to be the world's most customer-centric company, and this role is key to that vision. As an Amazon Critical Infrastructure Engineer, you will be leading projects to fit out our data centers to meet ever-evolving customer needs as we continue expanding our fleet to hyper-scale. As an ideal candidate you:

• Possess Strong Engineering Judgement and are able to provide recommendations despite uncertainty/ambiguity.
• Possess excellent communication and writing skills, attention to detail, maintain high quality standards.
• Organized and have the ability to set priorities and meet deadlines and budget
• Have experience solving problems with engineered solutions.
• Have experience managing engineering projects and consultants.
• Build trust and relationships with different stakeholders (e.g., Operations, Controls, Construction, Design, Commissioning, Product Managers, Technical Program Managers, ).
• Are adaptable and inclined to get into the field to see things up close.
• Excited about a mix of office and field work.

Key job responsibilities

You Will Be The ‘go To’ Engineering Resource For Your Region When Technical Advice Is Needed, And Will Use Your Subject Matter Expertise And Engage With Diverse Teams To

• Perform design and equipment submittal review for new Data Centers in your region.
• Troubleshoot, conduct Root Cause Analysis (RCA) and create Corrective Action (CA) documentation for site/equipment failures.
• Directly support operational issues with ad-hoc training, complex operating procedure reviews, including critical equipment, and event support.
• Own the conceptual design for existing data center upgrades and design-solutions, which add capacity, improve availability, increase efficiency and sustainability.
• Interface with internal data center operations team, data center design engineering team, server hardware team, environmental health and safety team to promote standards that maintain consistency and reliability in services delivered.
• Work on concurrent projects, sometimes in multiple geographical regions.
• Initiate and lead engineering audits including on-site visits within Amazon’s data centers. Produce reports outlining risks with recommended mitigations and remediation.
• Act as resident engineer during new construction projects. Support construction, commissioning, and turnover.

A day in the life

Each day you will interact with different teams responsible for all aspects of the data centers. You will prioritize your activities to support data center capacity availability and safety focusing on the actions that are most impactful. You will have the opportunity to work on projects locally and globally.

If you meet these qualifications, exude passion, and enjoy the challenge of innovative projects at hyper-scale, this job is for you!

About The Team
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.

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, 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.

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.

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 conferences, inspire us to never stop embracing our uniqueness.

Mentorship and 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.

Basic Qualifications

• Business-level fluency in written and spoken English
• Willing to travel between Data Center sites, and internationally if required
• Bachelor's degree in Mechanical Engineering or Electrical Engineering or equivalent
• Experience with mission critical facilities engineering including but not limited to the following sectors: data centers, power generation, oil & gas facilities. (Experienced Engineer).

Preferred Qualifications

• Possess data analytics skills, data querying skills/language, scripting, and comfort with working in vast amounts of data in new and evolving environments
• Direct experience with the design, construction, operation, or maintenance of mission critical facilities, especially data centers.
• Experience as resident engineer or hands-on (in the field) design consultant or owner’s engineer.
• Knowledge of building codes and regulations for your region. Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents.
• Ability to carry design concepts through exploration, development, and into deployment/mass production.
• Basic understanding of both mechanical and/or electrical equipment/design related to data centers (Including but not limited to: uninterruptible power sources, diesel generators, electrical switch gear, power distribution units, variable frequency drives, automatic/static transfer switches, chillers [air-cooled and water-cooled], pumps, cooling towers, heat exchangers, CRAHs, fans, air economizers, water treatment, etc...).
• EPMS/SCADA/BMS Controls system experience (software and/or hardware)
• Business-level fluency in written and spoken German and English

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
- Amazon Data Services Switzerland GmbH

Job ID: A10483399

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for a Senior HPC and AI Network Software Architect to help build the next generation of scalable AI infrastructure. The role emphasizes distributed training, real-time inference, and communication efficiency across large systems. You will develop new software and hardware approaches, shape platform evolution through hands-on innovation, and contribute to designing systems powering the fastest AI workloads globally. Collaborate with our distinguished team of researchers and engineers building software and hardware for AI at an outstanding scale.

What You Will Be Doing

• Build and evolve the architecture of scalable software systems for distributed AI training and inference, focusing on throughput, latency, resiliency, and memory efficiency across cluster-scale deployments.
• Develop and evaluate next-generation communication and runtime capabilities in libraries such as NCCL, UCX, and UCC, tailored to the evolving demands of frontier AI workloads.
• Partner with AI framework teams (e.g., TensorFlow, PyTorch, JAX) and internal platform teams to build integrations, explore new approaches, and improve end-to-end performance and reliability.
• Collaborate on hardware and system-level features across GPUs, DPUs, and interconnects to speed up data movement and enable new capabilities for training, inference, and model serving at scale.
• Drive innovation across runtime systems, communication libraries, and AI-specific protocol layers, helping turn new ideas into practical capabilities and robust implementations.

What We Need To See

• Ph.D., or equivalent industry experience, in computer science, computer engineering, or a closely related field.
• 5+ years of experience in systems programming, parallel or distributed computing, high-performance networking, or large-scale data movement, including experience designing and building complex systems.
• Strong programming background in C++, Python, and ideally CUDA or other GPU programming models, with a track record of building production-quality performance-critical software.
• Extensive hands-on experience with AI frameworks (e.g., PyTorch, TensorFlow, JAX) and a solid grasp of how communication libraries and runtime systems facilitate large-scale training and inference.
• Demonstrated success in developing and refining high-throughput, low-latency systems, including the ability to reason across software stacks, hardware capabilities, and system bottlenecks.
• Strong collaboration skills in a multi-national, interdisciplinary setting, with the ability to contribute ideas, build momentum, and work effectively with senior engineers, researchers, and partner teams.

Ways To Stand Out From The Crowd

• Deep expertise with NCCL, UCX, UCC, or similar communication libraries used in large-scale AI and HPC workloads.
• Strong background in networking and communication protocols, RDMA, collective communications, congestion-aware transport, or accelerator-aware networking.
• Comprehensive knowledge of large model training and inference serving at scale, including communication bottlenecks, scheduling challenges, and system-level tradeoffs across compute, memory, and fabric.
• Experience crafting hardware-software co-design for distributed AI systems, including contributions that advanced GPU, DPU, interconnect, or runtime capabilities.
• Familiarity with infrastructure for deployment of LLMs or transformer-based models, including sharding, pipelining, expert parallelism, or hybrid parallelism.

At NVIDIA, you’ll work alongside individuals who are dedicated to continuous learning and creative problem-solving in the industry, pushing the boundaries of what’s possible in AI and high-performance computing. If you're passionate about architecting distributed systems, advancing AI infrastructure, and solving problems at scale, we want to hear from you!

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 221,250 PLN - 383,500 PLN for Level 3, and 292,500 PLN - 507,000 PLN for Level 4. , , JR2015271

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.

At Julius Baer, we are committed to empowering our teams through a DevOps-driven approach. To achieve this, we are focused on developing scalable platforms that enable our product teams to self-serve their infrastructure and resource needs. As our application landscape evolves, we're investing in the expansion of our infrastructure automation capabilities.

Join our team as an Infrastructure Automation Expert and play a key role in designing and delivering automation solutions that drive efficiency across the organization by replacing manual processes with automated self-service offerings.

YOUR CHALLENGE

• Lead the design, development, and implementation of automation solutions using vRealize (Aria) Automation and/or Crossplane to streamline IT processes and improve efficiency
• Develop and maintain vRealize (Aria) Orchestrator workflows as well as develop Crossplane providers and functions using Golang and the Kubernetes Operator pattern
• Collaborate with cross-functional teams to ensure alignment with business objectives and technical strategies
• Provide technical leadership and expertise to the team, and contribute to the development of technical roadmaps and strategic plans
• Troubleshoot and resolve complex technical issues related to vRealize Automation and Orchestration, and provide recommendations for improvements
• Stay up-to-date with the latest trends and technologies in cloud computing, virtualisation, and automation, and apply this knowledge to continuously improve our automation solutions
• Participate in the development of technical documentation, including design documents, implementation guides, and operational procedures
• Ensure compliance with industry standards, best practices, and organisational policies

YOUR PROFILE

• Minimum 3 years of experience in designing, implementing, and managing automation solutions using vRealize (Aria) Automation, with a focus on large-scale enterprise environments
• Minimum 2 years of experience developing and operating Kubernetes Operators, ideally using Golang and the Crossplane framework to provision and continuously reconcile resources
• Expert knowledge of Kubernetes and the cloud-native computing ecosystem
• Strong understanding of IT infrastructure including Windows, Linux, Active Directory, Cisco technologies, etc.
• Strong understanding of cloud computing, virtualisation, and automation technologies, including VMware vSphere, vCenter, and NSX
• Strong understanding of SW development processes, CI/CD pipelines and DevOps tools
• Strong understanding of IT service management frameworks such as ITIL, and experience with agile development methodologies and version control systems such as Git
• Experience with Golang and scripting languages such as Javascript, PowerShell or Python
• Proven track record of leading technical projects and teams, with experience in managing multiple stakeholders and vendors
• Excellent communication, and interpersonal skills, with the ability to work effectively with technical and non-technical stakeholders
• Ability to work in a fast-paced environment and adapt to changing priorities and deadlines
• Ability to quickly grasp complex requirements, fast learner, highly proactive
• Proven track record in Computer Science, Information Technology, or a related field

We are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site.

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