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Julius Baer

SDN Private Cloud Engineer (SME) 100% (f/m/d)

Julius Baer is hiring an SDN Private Cloud Engineer (SME) 100% (f/m/d) in Zurich, Switzerland. Level rates it ; you can apply on Julius Baer.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level lists 191 other open roles at Julius Baer.
  • The role was posted within the past two weeks.

AI in this role

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.

System engineering is an interdisciplinary field of system and platform engineering, complemented with business management and operational responsibility, that centres around on how to design and manage complex systems and technology platforms over their life cycles. The system engineer can assume a pure holistic role or can be a database, system/server, virtualization or a network specialist.

YOUR CHALLENGE

  • Design, engineering, and documentation of enterprise-grade virtualised x86 infrastructure, with a strong focus on building agile, automated, and secure cloud environments powered by software-defined networking (SDN) principles
  • Shape the strategic direction of network architecture through advanced implementations of micro-segmentation, logical switching & routing, distributed firewalls, and intent-based networking policies, enabling granular security controls and workload isolation
  • Own end-to-end operations of virtualisation and network services platforms, including high availability, performance optimisation, fault remediation, and incident management—with accountability for service uptime and responsiveness (L2/L3 support)
  • Spearhead global rollout, monitoring, and continuous optimisation of virtualised infrastructure, leveraging SDN capabilities such as stateful service chaining, overlay networks, and centralised control plane management to deliver scalable and resilient connectivity
  • Execute large-scale infrastructure transformations, including data centre migrations, technology refresh cycles, and lifecycle upgrades involving network virtualisation components such as tier-0/tier-1 gateways, edge clusters, and distributed routing engines
  • Champion infrastructure automation and GitOps workflows, driving adoption of API-first configuration, declarative policy models, and Infrastructure-as-Code (IaC) tools to enable consistent, auditable deployments across hybrid environments
  • Design and implement robust operational procedures tailored to dynamic, policy-driven networking environments, ensuring compliance, recoverability, and operational transparency
  • Conduct proactive capacity and performance management for compute and network workloads, utilising real-time telemetry streaming, flow analytics, and visibility fabrics to detect bottlenecks, model growth, and prevent degradation
  • Participate in a 7x24 on-call rotation (approx. one week per month), acting as a technical escalation point for critical issues impacting virtual infrastructure and network services

YOUR PROFILE

  • A bachelor’s degree in Computer Science, Information Systems, or a closely related technical discipline. Equivalent practical experience will be considered
  • Minimum of five years’ hands-on experience as a senior virtualisation engineer, specialising in the design, delivery, and operation of enterprise-grade x86 infrastructure in mission-critical environments
  • Demonstrated expertise in VMware vSphere technologies, including ESXi, vCenter Server, and lifecycle management of virtualised platforms
  • In-depth understanding of software-defined networking (SDN) principles, including logical switching and routing, overlay networks (VXLAN/Geneve), distributed firewalling, and centralised policy enforcement
  • Strong foundation in data centre networking, covering IPv4/IPv6, routing protocols (BGP), service gateways (Tier-0/Tier-1), transport node configuration and integration between logical and physical network layers
  • Direct experience with VMware NSX-T is highly advantageous, particularly in areas such as micro-segmentation, distributed security policies, Edge services, and automation via API
  • Familiarity with VMware AVI (NSX Advanced Load Balancer) is a distinct plus, especially for application delivery, intelligent traffic steering, L7 load balancing, WAF integration, and Kubernetes ingress control
  • Proven track record in deploying and managing SDDC frameworks, preferably VMware CloudFoundation (VCF), where NSX plays a foundational role in network virtualisation and security
  • Hands-on experience in automating infrastructure operations using PowerShell, Python, andInfrastructure-as-Code tools such as Terraform or Ansible, including API-driven interactions with NSXManager and AVI Controller
  • Working knowledge of storage architectures, including SAN/NAS, Fibre Channel, and file-basedprotocols (NFS/CIFS), to support integrated virtual infrastructure services
  • Exposure to container platforms such as Tanzu Kubernetes Grid (TKG/IE) or VKS, particularly inintegrating Kubernetes clusters with SDN-backed networking and security policies
  • Willingness to participate in a 7x24 on-call rotation, providing escalation support and leading resolution efforts for critical infrastructure incidents
  • Self-motivated, detail-oriented, and capable of owning complex technical initiatives with limited supervision
  • Excellent interpersonal and communication skills, with the ability to collaborate effectively in agile, international environment
  • Fluency in English (written and spoken) is required; additional languages are beneficial given the regional presence

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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How we rate this

SDN Private Cloud Engineer (SME) 100% (f/m/d) at Julius Baer rates 38 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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