Tech Spec - Embedded Linux, Kubernetes

Job Summary

Required technical foundation:

• Containerisation and Kubernetes as patterns and key platform technologies, RKE2 preferred here

• Linux operating system management at production depth

• Software architecture and design at senior engineer level, capable of designing systems, not just implementing within someone else's design

• Continuous deployment patterns, processes, and behaviours, with trunk-based development as the operating norm

Required operating model fluency:

• Test-driven development as a discipline

• Production ownership culture: "you build it, you run it" including on-call participation, post-incident review participation, and reliability accountability

• Comfort operating without traditional safety nets (no code freezes, no UAT periods, no manual QA gates, no CAB approvals for standard deployments).
  “Reliability is implicit, engineered into the pipeline, not inspected at the end.”

• SLO and error budget thinking

Required AI fluency:

• Hands-on experience with agentic AI development tooling (Claude Code, AWS Kiro, Cursor, or equivalent) at senior level.
  We expect senior engineers to operate at meaningfully higher velocity/speed through agentic tooling.

• Comfortable architecting AI-assisted developer workflows for the team's benefit.

Bonus:

• Experience with software-based infrastructure, hypervisor technologies (KVM/QEMU preferred), VXLAN, SDN, advanced networking.

• Experience with event-driven architecture and message-oriented middleware at scale

• Experience with observability engineering (Prometheus, Grafana, Loki, distributed tracing) at senior practitioner level

Key Responsibilities

Required technical foundation:

• Containerisation and Kubernetes as patterns and key platform technologies, RKE2 preferred here

• Linux operating system management at production depth

• Software architecture and design at senior engineer level, capable of designing systems, not just implementing within someone else's design

• Continuous deployment patterns, processes, and behaviours, with trunk-based development as the operating norm

Required operating model fluency:

• Test-driven development as a discipline

• Production ownership culture: "you build it, you run it" including on-call participation, post-incident review participation, and reliability accountability

• Comfort operating without traditional safety nets (no code freezes, no UAT periods, no manual QA gates, no CAB approvals for standard deployments).
  “Reliability is implicit, engineered into the pipeline, not inspected at the end.”

• SLO and error budget thinking

Required AI fluency:

• Hands-on experience with agentic AI development tooling (Claude Code, AWS Kiro, Cursor, or equivalent) at senior level.
  We expect senior engineers to operate at meaningfully higher velocity/speed through agentic tooling.

• Comfortable architecting AI-assisted developer workflows for the team's benefit.

Bonus:

• Experience with software-based infrastructure, hypervisor technologies (KVM/QEMU preferred), VXLAN, SDN, advanced networking.

• Experience with event-driven architecture and message-oriented middleware at scale

• Experience with observability engineering (Prometheus, Grafana, Loki, distributed tracing) at senior practitioner level

Skill Requirements

Required technical foundation:

• Containerisation and Kubernetes as patterns and key platform technologies, RKE2 preferred here

• Linux operating system management at production depth

• Software architecture and design at senior engineer level, capable of designing systems, not just implementing within someone else's design

• Continuous deployment patterns, processes, and behaviours, with trunk-based development as the operating norm

Required operating model fluency:

• Test-driven development as a discipline

• Production ownership culture: "you build it, you run it" including on-call participation, post-incident review participation, and reliability accountability

• Comfort operating without traditional safety nets (no code freezes, no UAT periods, no manual QA gates, no CAB approvals for standard deployments).
  “Reliability is implicit, engineered into the pipeline, not inspected at the end.”

• SLO and error budget thinking

Required AI fluency:

• Hands-on experience with agentic AI development tooling (Claude Code, AWS Kiro, Cursor, or equivalent) at senior level.
  We expect senior engineers to operate at meaningfully higher velocity/speed through agentic tooling.

• Comfortable architecting AI-assisted developer workflows for the team's benefit.

Bonus:

• Experience with software-based infrastructure, hypervisor technologies (KVM/QEMU preferred), VXLAN, SDN, advanced networking.

• Experience with event-driven architecture and message-oriented middleware at scale

• Experience with observability engineering (Prometheus, Grafana, Loki, distributed tracing) at senior practitioner level

Other Requirements

1. Optional But Valuable Certifications: Certified Embedded Systems Engineer (Cese), Linux Professional Institute Certification (Lpic), Or Similar Certifications Relevant To Embedded Linux Expertise.