Senior Lead Platform Engineer - Networking - Accelerator

Job summary

As a Senior Lead Platform Engineer in the Networking Team at JPMorgan Chase, you will collaborate across the organization to implement platform-wide strategies, optimize infrastructure, and enhance operator design. This role requires a strong understanding of cloud environments, networking fundamentals, and the ability to lead teams in adopting new technologies.

Qualifications

• Detailed understanding of public clouds and hands on knowledge on building cloud based environments.
• Expert knowledge of containerisation, Kubernetes and related tooling.
• Deep understanding of cloud-native and traditional networking architectures.
• Proven experience designing and operating scalable, secure and resilient networks in GCP or AWS.
• Strong understanding of networking fundamentals (TCP/IP, BGP, routing, DNS, NAT, Firewalls, IPAM, Load Balancers, VPN).
• Extensive experience writing and maintaining custom Kubernetes Operators in Golang.
• Capable of writing code to deliver highly automated infrastructure environments.
• Being comfortable in fast moving, critical environments and working with ambiguity.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools.
• Strong understanding of responsible AI use in engineering workflows.

Responsibilities

• Collaborate across the organisation to implement platform wide strategies in our networking stack.
• Optimise our infrastructure for failover and resiliency.
• Enhance our operator design and custom implementation.
• Improve observability of our networking components to meet SLOs.
• Lead troubleshooting of production workloads for customers and during incidents.
• Develop secure high-quality production code, and reviews and debugs code written by others.
• Lead evaluation sessions with external vendors, startups, and internal teams.
• Lead communities of practice across Software Engineering.
• Lead agile ceremonies.
• Add to team culture of diversity, equity, inclusion, and respect.
• Drives adoption and governance of approved AI-assisted engineering practices across teams.
• Applies knowledge of tools within the Software Development Life Cycle toolchain.

Skills

Relocation