Postuler

Publié il y a 7 mois

Forward Deployed Engineer

@ Future Secure AI

Austin, QC · Toronto, ON

Temps plein5+ ans d’expérience
Postuler
SIGNAUX

En bref

Future Secure AI is hiring a Forward Deployed Engineer to design, build, and operate the production platforms behind its AI Co-Workers. The role is hands-on reliability and infrastructure work on Kubernetes, Terraform and Helm, with on-call duties. The posting describes a flexible work environment and a competitive salary but does not state pay or visa terms.

Responsabilités :

  • Build and operate reliable production infrastructure for AI Co-Workers
  • Own Kubernetes-based platforms for AI workloads
  • Maintain Terraform infrastructure as code and Helm deployment workflows
  • Take part in on-call rotations, incident response and post-mortems
  • Reduce operational toil through automation and better observability

Résumé des exigences :

  • Bachelor's degree in computer science, information systems or related field
  • 5+ years of SRE or DevOps engineering experience
  • Kubernetes experience on EKS, AKS, GKE or self-managed clusters
  • Terraform and Helm experience
  • Professional use of at least two programming or scripting languages
  • Reliability engineering, on-call and incident response experience

Outils et compétences

Source et dates

Site carrière / système de candidatures · greenhouse

Date publiée par l’employeur
2026-04-09
Première détection par notre source
2026-10-14
Mise à jour du dossier source
2026-10-14

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Expérience5 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau, Domicile
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé), Maîtrise (préféré)
Domaines d’étudesComputer Science, Information Systems

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Future Secure AI

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

Meet your AI digital workers

Description complète de l’entreprise

As a global leader in the fast-growing market for enterprise transformation at industrial scale we have created a new model of enterprise technology delivery in the form of AI Co-Workers

Personnes associées sur LinkedIn
353
Autres noms enregistrés
  • Future Secure AI
Le profil indique une agence de recrutement
Non

As a global leader in the fast-growing market for enterprise transformation at industrial scale we have created a new model of enterprise technology delivery in the form of AI Co-Workers

ChampValeur
SecteurSoftware Development
Taille201-500 employees
Type d’organisationPrivately Held
Offres sur Jobsy7
LinkedInVoir la page
Description

About the Company

At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.

About the Role

We are looking for a Forward Deployed Engineer to help design, build, and operate the platforms that power AI Co‑Workers. This is a hands‑on role for an engineer who enjoys owning reliability end‑to‑end and working closely with product, AI, and engineering teams.

Responsibilities

  • Design, build, and operate reliable production infrastructure supporting AI Co‑Workers
  • Own Kubernetes‑based platforms used to deploy and run AI workloads
  • Build and maintain infrastructure as code using Terraform
  • Implement and maintain Helm‑based deployment workflows
  • Define, measure, and improve system reliability using SLIs, SLOs, and SLAs
  • Participate in on‑call rotation, incident response, root cause analysis, and post‑mortems
  • Reduce operational toil through automation and engineering improvements
  • Build and improve observability across monitoring, logging, and alerting
  • Partner closely with engineers to ensure systems are resilient, scalable, and secure
  • Operate across build, deploy, and operate phases of the software lifecycle

Minimum Qualifications

  • Bachelors Degree in Computer Science, Information Systems, or related field
  • 5+ years of professional experience in Site Reliability Engineering or DevOps Engineering
  • Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self‑managed Kubernetes
  • Terraform experience for infrastructure provisioning and automation
  • Helm experience for Kubernetes application deployment
  • Professional experience using at least two programming or scripting languages such as Python, Go, Java, Bash, PowerShell, or Ruby
  • Direct experience with reliability engineering, on‑call rotations, incident response, post‑mortems, and toil reduction
  • DevOps or DevSecOps experience, including CI/CD ownership, infrastructure automation, and security considerations

Preferred Qualifications

  • Masters Degree in Computer Science, Information Systems, or related field
  • Experience working within a defined SDLC, including CI/CD, release processes, and end‑to‑end delivery from design to operations
  • Hands‑on experience with at least one major cloud provider such as AWS, Azure, or Google Cloud
  • Experience with ArgoCD or GitOps‑style deployment approaches
  • Relevant certifications such as CKA, CKAD, cloud certifications, DevOps, DevSecOps, or programming credentials

Why Join Us?

  • A high-performance culture
  • State-of-the-art technology
  • Experience world-class leadership
  • Scale of impact and purpose
  • A competitive salary and a huge growth trajectory
  • Work with the best in the industry
  • Flexible work environment
  • Diversity and creativity

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.

Future Secure AI Privacy Policy

At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.

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