100% Remote opportunity
Top Skills' Details
1. Design of Core and DC Networking with ACI or Arista
2. Design of Kubernetes networking
3. Design of Cloud networking
4. Design of Automation
5. Python or Go
6. Soft Skills enabling and experience with, meeting with business stakeholders to gather functional requirements of a solution and turning them into architectural design solutions.
Secondary Skills - Nice to Haves
- SD-WAN
- SASE
- zero trust
- content delivery networks
- DNS
Job Description
• Projects:
o NDA, can’t talk much, revolves around Kubernetes.
Key Responsibilities:
• Deliver network solution designs supporting enterprise data centers, private cloud platforms, and public cloud environments
• Build, prototype, and validate network solution designs through hands-on engineering, lab environments, proofs of concept, and automation-driven implementations
• Define and evolve reference architectures, standards, and design patterns for hybrid-cloud and cloud-native networking
• Embed automation and Infrastructure as Code principles into network solution designs
• Anchor modern application platform designs in proven data-center networking fundamentals, including L2/L3 networking, routing, segmentation, EVPN/VXLAN fabrics, and high availability design principles
• Partner with platform, cloud, security, and application teams to translate requirements into scalable network solutions
• Produce clear, decision-oriented design documentation and participate in design and architecture review forums
• Evaluate emerging networking, cloud, and automation tech
• Skills needed:
o Networking
§ Data center networking (within data center; Connects servers, storage, and applications inside a data center, server-to-server; Leaf-Spine architecture, SDN, automation, AI/ML for optimization)
• BGP; VPN, VXLAN, anything around modern data center fabrics.
§ Core networking (massive amounts of data, long distance; MPLS, DWDM, BGP, high-capacity optical fiber;
• Core networking; net design and build modern dc fabrics; Cisco ACI or Arista, different spine architectures;
§ Kubernetes networking (see above)
• Cloud native networking attached to those fabrics. In this case it’s Kubernetes….knowledge of modern infra networking components like Cilium, Calico, or OVN-K CNIs in Kubernetes; knowing how to build architecture around BGP peering and Kuber clusters and dc networks and fabrics; how to ingress; traffic engineering (solutions to improve capacity, capacity management; design load balancing for apps running kubernets; everything around running modern app platforms on the dc network;
• Linux
o Building and manage cloud connectivity: experience building large scale cloud connectivity solutions using AWS Direct Connect, Azure ExpressRoute, Google Cloud Interconnect
§ Network as a Service providers like Equinix fabric or Megaport or equivilant
§ Ideally some experience with all 3 major CSPs for connectivity; not hard core in all 3; if they know how to build one they probably know how to build the others.
o Automation, not developer. Comfortable with Terraform and Ansible. Doesn’t matter which one, must be very comfortable with one, IaC overall and configuration as code concepts. Using premade but sometimes extend or modify or add to the solution, must know how to read it, etc.
o Python and Go: build some tools or write some integration with one of those languages. Not a hard core. Read and script.
o Observability & Network Visibility: Network and application observability, telemetry, and synthetic testing platforms such as Splunk, Prometheus, ThousandEyes, Kentik, or similar tools
o Troubleshooting
o Soft Skills: big component is ability interact different stakeholders; both tech (prince ng and archs) but also non-tech on the business side. Presentation skills and influence decision making the right way. Lots of personalities to navigate in the size and complexity of a company like HSBC.
• Nice to Have:
o Familiarity with SD-WAN and SASE architectures, including how they integrate with hybrid-cloud environments
o Understanding of Zero Trust networking concepts and identity-based access models
o Exposure to content delivery networks (CDN) and global traffic optimization patterns
o Knowledge of DNS architecture and design, including public, private, and hybrid resolution models
o Experience working with platform engineering or internal developer platform teams
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