to join a fast-paced technology environment, supporting mission-critical infrastructure with a focus on low-latency and high-performance networking.
You will lead and support the deployment and integration of complex network solutions based on
VXLAN and EVPN
, with an emphasis on
multicast routing
and
layer 2/3 switching
. The ideal candidate will have a deep understanding of
capital markets/trading environments
, where stability, scalability, and low-latency are paramount.
Key Responsibilities
Design, implement, and support
Arista Spine & Leaf
architectures across trading platforms.
Deploy and manage
VXLAN/EVPN overlays
, ensuring high availability and optimal performance.
Configure and troubleshoot
multicast networking
for Real Time data distribution.
Deliver complex
routing and switching
configurations across data center and campus environments.
Collaborate with internal stakeholders (network architects, traders, systems engineers) to ensure seamless infrastructure delivery.
Maintain documentation and provide detailed handovers to operations teams.
Participate in change control, incident management, and root cause analysis processes.
Key Skills and Experience
Mandatory:
Deep experience with
Arista Networks
, particularly
Spine and Leaf architectures
.
Proficiency in
VXLAN
and
EVPN
configuration and troubleshooting.
Strong
multicast networking
skills (PIM, IGMP, MSDP).
High-level understanding and hands-on delivery of
routing (BGP, OSPF, ISIS)
and
switching (L2/L3)
.
Background in
capital markets or trading environments
, understanding the criticality of low-latency and high-reliability infrastructure.
Desirable:
Exposure to
automation
tools (Python, Ansible) is a plus.
Experience with network telemetry and monitoring systems.
Arista certification (eg, ACE) highly desirable.
Work Environment
Hybrid:
1 day a week onsite in
London
, remainder remote.
Dynamic
, high-stakes setting within capital markets/trading environments.
Working with cutting-edge technology stacks and financial trading systems.
Job Type: Full-time
Pay: 490.00 per day
Schedule:
Monday to Friday
Work Location: Hybrid remote in London EC4M
Reference ID: IN/DD/LS
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