Senior DevOps Engineer - GCP

vox talk ai β€’ Ireland
Remote
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AI Summary

Join Vox Talk AI as a Senior DevOps Engineer to build and maintain the company's GCP infrastructure, ensuring 24/7 reliability for a voice AI platform. This role requires 5+ years of production DevOps experience, including real critical downtime situations. You will own the GCP stack, build and enforce CI/CD best practices, and design infrastructure-level guardrails.

Key Highlights
Build and maintain GCP infrastructure
Ensure 24/7 reliability for voice AI platform
Design infrastructure-level guardrails
Key Responsibilities
Progressively take ownership of all GCP infrastructure in Terraform
Build and maintain CI/CD pipelines (GitHub Actions) across all repositories
Plan & execute cloud migrations (Cloud Run and possibly GKE later)
Configure HA across critical services and test fallback routes regularly to avoid vendor lock-in
Improve end-to-end call latency: geoproximity deployment, multi-region routing
Design and enforce infrastructure-level guardrails for agentic pipelines
Operate and improve the current Supabase stack, with the option to lead a later migration to Cloud SQL or another GCP-native database service
Build infrastructure to a standard that supports SOC2 Type 2 and ISO27001 certification
Technical Skills Required
GCP Cloud Run Cloud SQL LB VPC IAM Secret Manager Monitoring Terraform GitHub Actions Kubernetes Supabase PostgreSQL
Benefits & Perks
Full remote working
Competitive pay and equity
Chance to work in a genuinely AI-native environment with modern tooling
Nice to Have
Experience with telephony infrastructure (SBC, SIP, low-latency voice routing)
Experience designing cloud infrastructure for agentic pipelines and placing appropriate guardrails
Experience with international, multi-region infrastructure
Experience owning 24/7 systems
Experience building or operating infrastructure in a SOC2 / ISO27001 / equivalent regulated environment

Job Description


🏒 About Vox Talk AI


We're building an AI-first platform for the security monitoring industry, with Voice AI and Computer Vision at its core. Our systems operate in the real world β€” speaking to humans, making decisions in real time, and supporting critical security workflows where reliability isn't optional.


Right now we're focused on intelligent Voice AI that handles live alarm calls at scale for alarm monitoring centres and central stations. Next comes multi-modal AI, where voice, automation, and computer vision work together across complex security environments. We're already partnered with a global leader in security monitoring software to bring these capabilities to their international client base.


We're a VC-backed company building the foundations of something big. You'd be joining at the point where the decisions you make shape the product, the team, and the company for years.


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πŸ’‘ How we think


β–Έ AI native β€” AI isn't a feature we bolt on, it's how we build, operate, and think. We use it everywhere.

β–Έ Everyone builds β€” founders, engineers, everyone ships. Titles don't excuse anyone from getting their hands dirty.

β–Έ Move fast β€” speed is our advantage, and it comes from doing the engineering well. Solid foundations and systems built to be trusted from day one mean we ship quickly and confidently, learn from real deployments, and compound that lead.

β–Έ Obsess over customers β€” we're solving real problems for people doing critical work. Their reality drives our roadmap.

β–Έ Here to win β€” we're building the category leader. Big ambition, backed by the focus to deliver on it.


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πŸ—οΈ Where the platform is today


You'd be inheriting a live production platform serving real monitoring centres β€” a working product with real customers. The infrastructure layer is where the biggest build-out opportunity sits: taking it to a fully reproducible, observable, multi-region platform is the heart of this role. If building strong foundations under a working product is the work you want, this is exactly it.


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🎯 The role


You are the infrastructure function. You will own the GCP stack, build and enforce CI/CD best practices, and ensure 24/7 reliability for a voice AI platform where call latency and uptime directly affect service delivery. You will also design the infrastructure-level guardrails within which our agentic pipelines operate, and own the latency decisions that keep alarm calls fast and reliable as we scale internationally.


To make the stakes concrete: when an alarm fires, our voice AI is what reaches the keyholder. A dropped call or a latency spike isn't a degraded metric β€” it's a security response that doesn't happen. You own the infrastructure that keeps that reliable as we scale across regions and clients.


You will, in close collaboration with the CTO:


β–Έ Progressively take ownership of all GCP infrastructure in Terraform: no manual provisioning, everything reproducible and auditable

β–Έ Build and maintain CI/CD pipelines (GitHub Actions) across all repositories, enforcing best practices

β–Έ Plan & execute cloud migrations (Cloud Run and possibly GKE later)

β–Έ Configure HA across critical services and test fallback routes regularly to avoid vendor lock-in

β–Έ Improve end-to-end call latency: geoproximity deployment, multi-region routing

β–Έ Design and enforce infrastructure-level guardrails for agentic pipelines

β–Έ Operate and improve the current Supabase stack, with the option to lead a later migration to Cloud SQL or another GCP-native database service

β–Έ Build infrastructure to a standard that supports SOC2 Type 2 and ISO27001 certification, which we expect to pursue within the next 12 months as we grow into larger enterprise clients, partnering with the CTO on the certification programme when it begins


━━━━━━━━━━━━━━━━━━━━━━


βœ… You bring


Required


β–Έ 5+ years of production DevOps/infrastructure experience, including real critical downtime situations

β–Έ Significant hands-on GCP experience (Cloud Run, Cloud SQL, LB, VPC, IAM, Secret Manager, Monitoring)

β–Έ Production Kubernetes β€” GKE strongly preferred

β–Έ Production Terraform: modules, state management, multi-environment

β–Έ Strong CI/CD experience (GitHub Actions preferred)

β–Έ Experience with database providers such as Supabase or managed PostgreSQL in production

β–Έ Good working knowledge of using AI in DevOps workflows

β–Έ Experience with low-latency infrastructure


Nice to have


β–Έ Experience with telephony infrastructure (SBC, SIP, low-latency voice routing)

β–Έ Experience designing cloud infrastructure for agentic pipelines and placing appropriate guardrails

β–Έ Experience with international, multi-region infrastructure

β–Έ Experience owning 24/7 systems

β–Έ Experience building or operating infrastructure in a SOC2 / ISO27001 / equivalent regulated environment


━━━━━━━━━━━━━━━━━━━━━━


🎁 We offer


β–Έ Full remote working

β–Έ Competitive pay and equity

β–Έ The chance to work in a genuinely AI-native environment with modern tooling

β–Έ Full infrastructure ownership from day one in a fast-growing company


Please make sure to include a cover letter and a resume in your application.


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