Principal Solutions Architect

5+ years in a customer-facing technical role (SA, CSE, SRE, or similar)

Deep hands-on experience with Kubernetes, service mesh technologies, and API gateways/proxies

1+ years with AI/ML technologies - LLMs, agentic frameworks, or AI infrastructure

A track record of owning technical relationships with large enterprise customers post-sale

Strong communicator across the full spectrum - platform engineers to C-suite

Comfortable scripting in Go, Python, or Bash

This is a strong fit for senior SAs who have worked at Cloud Native companies where you’ve built real depth in cloud-native infrastructure and are ready to step into a role where AI is a first-class workload, not an afterthought.

We’re hiring on behalf of a well-funded CNCF scale-up trusted by some of the world’s largest enterprises. Their platform sits at the core of how organisations connect, secure, and observe APIs, microservices, and service mesh infrastructure.

This is a senior post-sales role for someone who lives at the intersection of cloud-native infrastructure and emerging AI workloads. You’ll own a small portfolio of strategic accounts and guide them through some of the most complex production challenges in the market right now - LLM gateways, agent-to-agent communication, securing model traffic at scale.

What you’ll be doing:

Serving as the primary technical relationship for a portfolio of strategic enterprise accounts

Leading end-to-end technical issue resolution, including hands-on troubleshooting and escalations with Engineering

Guiding customers through AI and agentic use cases built on a cloud-native, service mesh-based stack

Consulting on architectural best practices, performance tuning, and operational excellence

Running tailored workshops and enablement sessions to build customer self-sufficiency

Acting as the voice of the customer internally - feeding real production feedback into Product and Engineering