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Flinks

Senior Platform Engineer

Remote, Canada

Remote

Full-time

Apply About employer

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Job details

Job type: Full-time
Workplace: Remote
Experience: Vous avez au moins 8 à 10 ans d’expérience en ingénierie de plateforme, en DevOps ou en infrastructure, ainsi qu’une solide expérience en développement logiciel.
Posting language: English · French
Posted: Nov 2, 2026

Original job description

English section of this bilingual listing.

Voir la version française ci-dessous

About Flinks 🚀

Flinks is the embedded finance platform that brings together connectivity, intelligence, and payments - giving businesses the infrastructure they need to build and deliver seamless financial experiences at scale.

As a leader in Open Finance in Canada, we’ve grown since 2016 into one of North America’s most trusted platforms for financial data access, enrichment, and money movement. We work with innovators across many industries, including lending, fintech, banking, insurance, and wealth management.

Today, our platform connects to 15,000+ financial institutions across North America and powers over 1M monthly connections. We also give our customers unprecedented visibility into 4,500+ real-time financial insights to support smarter decisioning. Companies rely on Flinks to streamline onboarding, verify income, assess credit risk, and power faster payment experiences.

We’re on a mission to drive financial innovation and help businesses build financial experiences that feel effortless, connected, and customer-first. That’s where you come in.

What You'll Be Doing 🔥

Build and own our internal developer platform: a Backstage-based portal and service catalog with software templates that scaffold a production-ready service (repo, pipeline, infrastructure, dashboards, alerts, ownership) in minutes.
Define the golden path from commit to production: pipeline templates, environment promotion, and progressive delivery through our Kubernetes GitOps model (Argo CD, Helm, Kustomize, Azure DevOps).
Encode standards as code: quality gates, security scanning, and policy checks live in templates and pipelines, not review checklists.
Shape how AI agents and assistants work in our SDLC: where they operate, what they can touch, and how their output is reviewed, traced, and approved. You will partner with Security and Compliance to make this work in a regulated environment.
Build agent-facing interfaces, such as MCP servers, that expose the catalog, pipelines, and infrastructure to AI agents safely. Track agent-assisted changes with the same DORA and quality metrics as human ones.
Evolve our cloud and Kubernetes infrastructure and extend self-service (Terraform, declarative APIs, PRs) so teams provision what they need with guardrails instead of tickets.
Cut developer toil: local development, preview environments, test feedback time, and pipeline duration.
Treat developers as your customers: gather feedback, document, drive adoption, and keep platform code tested, versioned, and maintainable.

Who You Are

At least 8 to 10 years in platform, DevOps, or infrastructure engineering, with real software development along the way. Any language works (we use C#, Go, and Python); you write and maintain production code, not only configuration.
Hands-on Backstage experience (catalog, software templates, TechDocs, plugins), or you have built an equivalent internal developer portal and can walk us through it.
Kubernetes, GitOps (Argo CD or Flux), and Terraform in a major cloud. GCP or Azure is a plus.
CI/CD and release engineering: pipeline templates, environment promotion, safe rollouts and rollbacks.
You use AI coding tools daily and have a point of view on where they fit in a team's SDLC.
Working knowledge of observability: traces, metrics, logs, SLOs.
A practitioner, not a strategist: senior enough to drive initiatives and build from scratch with minimal direction. You do the hands-on work.

Great to haves

Custom Backstage plugin development, or running Backstage at scale
Building MCP servers or agent tooling, or integrating LLMs into CI/CD and developer workflows
Defining governance for AI-generated code: review standards, permission boundaries, audit trails
Policy-as-code and supply chain security (OPA, Kyverno, SBOM, artifact signing)
DORA metrics, developer satisfaction measurement, ephemeral environments
Regulated or financial-services delivery experience

Why This Role Matters at Flinks 💡

Greenfield: you define the golden path rather than inherit it.
Everything you build is used by every engineering team at Flinks.
High visibility: AI-enabled delivery is a top company priority.
You help decide how AI agents build and ship software in a regulated environment, in a strong learning environment with plenty already in place to build on.

The Interview Process 🏗

Introductory call with our Head of People
Hiring manager conversation
One-hour technical interview

À propos de Flinks 🚀

Read the full bilingual original

Voir la version française ci-dessous

About Flinks 🚀

We’re on a mission to drive financial innovation and help businesses build financial experiences that feel effortless, connected, and customer-first. That’s where you come in.

What You'll Be Doing 🔥

Build and own our internal developer platform: a Backstage-based portal and service catalog with software templates that scaffold a production-ready service (repo, pipeline, infrastructure, dashboards, alerts, ownership) in minutes.
Define the golden path from commit to production: pipeline templates, environment promotion, and progressive delivery through our Kubernetes GitOps model (Argo CD, Helm, Kustomize, Azure DevOps).
Encode standards as code: quality gates, security scanning, and policy checks live in templates and pipelines, not review checklists.
Shape how AI agents and assistants work in our SDLC: where they operate, what they can touch, and how their output is reviewed, traced, and approved. You will partner with Security and Compliance to make this work in a regulated environment.
Build agent-facing interfaces, such as MCP servers, that expose the catalog, pipelines, and infrastructure to AI agents safely. Track agent-assisted changes with the same DORA and quality metrics as human ones.
Evolve our cloud and Kubernetes infrastructure and extend self-service (Terraform, declarative APIs, PRs) so teams provision what they need with guardrails instead of tickets.
Cut developer toil: local development, preview environments, test feedback time, and pipeline duration.
Treat developers as your customers: gather feedback, document, drive adoption, and keep platform code tested, versioned, and maintainable.

Who You Are

At least 8 to 10 years in platform, DevOps, or infrastructure engineering, with real software development along the way. Any language works (we use C#, Go, and Python); you write and maintain production code, not only configuration.
Hands-on Backstage experience (catalog, software templates, TechDocs, plugins), or you have built an equivalent internal developer portal and can walk us through it.
Kubernetes, GitOps (Argo CD or Flux), and Terraform in a major cloud. GCP or Azure is a plus.
CI/CD and release engineering: pipeline templates, environment promotion, safe rollouts and rollbacks.
You use AI coding tools daily and have a point of view on where they fit in a team's SDLC.
Working knowledge of observability: traces, metrics, logs, SLOs.
A practitioner, not a strategist: senior enough to drive initiatives and build from scratch with minimal direction. You do the hands-on work.

Great to haves

Custom Backstage plugin development, or running Backstage at scale
Building MCP servers or agent tooling, or integrating LLMs into CI/CD and developer workflows
Defining governance for AI-generated code: review standards, permission boundaries, audit trails
Policy-as-code and supply chain security (OPA, Kyverno, SBOM, artifact signing)
DORA metrics, developer satisfaction measurement, ephemeral environments
Regulated or financial-services delivery experience

Why This Role Matters at Flinks 💡

Greenfield: you define the golden path rather than inherit it.
Everything you build is used by every engineering team at Flinks.
High visibility: AI-enabled delivery is a top company priority.
You help decide how AI agents build and ship software in a regulated environment, in a strong learning environment with plenty already in place to build on.

The Interview Process 🏗

Introductory call with our Head of People
Hiring manager conversation
One-hour technical interview

À propos de Flinks 🚀

Flinks est une plateforme de finance embarquée qui réunit connectivité, intelligence et paiements. Elle offre aux entreprises l’infrastructure dont elles ont besoin pour créer et proposer des expériences financières fluides à grande échelle.

Chef de file de la finance ouverte au Canada, nous avons connu une croissance soutenue depuis 2016 et sommes devenus l’une des plateformes les plus fiables en Amérique du Nord pour l’accès aux données financières, leur enrichissement et les transferts de fonds. Nous collaborons avec des entreprises innovantes de nombreux secteurs, notamment le prêt, les technologies financières, les services bancaires, l’assurance et la gestion de patrimoine.

Aujourd’hui, notre plateforme se connecte à plus de 15 000 institutions financières en Amérique du Nord et permet plus d’un million de connexions par mois. Nous offrons également à nos clients une visibilité sans précédent sur plus de 4 500 indicateurs financiers en temps réel afin de favoriser une prise de décision éclairée. Les entreprises comptent sur Flinks pour simplifier l’intégration de leurs clients, vérifier les revenus, évaluer le risque de crédit et accélérer les paiements.

Notre mission est de stimuler l’innovation financière et d’aider les entreprises à créer des expériences financières simples, connectées et centrées sur le client. C’est là que vous entrez en jeu.

Ce que vous ferez 🔥

Concevoir et prendre en charge notre plateforme de développement interne : un portail et un catalogue de services basés sur Backstage, avec des modèles logiciels permettant de générer en quelques minutes un service prêt pour la production (dépôt de code, pipeline, infrastructure, tableaux de bord, alertes et responsabilités).
Définir le parcours de référence (« golden path ») du commit à la production : modèles de pipelines, promotion entre les environnements et livraison progressive grâce à notre approche GitOps sur Kubernetes (Argo CD, Helm, Kustomize et Azure DevOps).
Intégrer les standards directement aux outils : contrôles de qualité, analyses de sécurité et vérifications de conformité aux politiques dans les modèles et les pipelines, plutôt que de s’appuyer sur des listes de vérification manuelles.
Définir la façon dont les agents et les assistants d’IA interviennent dans notre cycle de développement logiciel : leurs environnements d’exécution, leurs niveaux d’accès et les mécanismes de révision, de traçabilité et d’approbation de leurs contributions. Vous travaillerez avec les équipes Sécurité et Conformité pour mettre en place ces pratiques dans un environnement réglementé.
Créer des interfaces destinées aux agents, comme des serveurs MCP, qui donnent aux agents d’IA un accès sécurisé au catalogue, aux pipelines et à l’infrastructure. Mesurer les changements réalisés avec l’aide de l’IA à l’aide des mêmes indicateurs DORA et de qualité que ceux utilisés pour évaluer le travail des développeurs.
Faire évoluer notre infrastructure infonuagique et Kubernetes, et étendre les capacités de libre-service (Terraform, API déclaratives et demandes de fusion) afin que les équipes puissent accéder aux ressources dont elles ont besoin avec des garde-fous intégrés, plutôt que de devoir soumettre des billets.
Réduire les tâches répétitives des développeurs en améliorant le développement local, les environnements de prévisualisation, les délais de rétroaction des tests et la durée des pipelines.
Considérer les développeurs comme vos clients : recueillir leurs commentaires, documenter les solutions, favoriser leur adoption et maintenir une plateforme dont le code est testé, versionné et facile à maintenir.

Votre profil

Vous avez au moins 8 à 10 ans d’expérience en ingénierie de plateforme, en DevOps ou en infrastructure, ainsi qu’une solide expérience en développement logiciel. Nous utilisons notamment C#, Go et Python, mais toute expérience pertinente en programmation est considérée. Vous savez écrire et maintenir du code en production, et pas seulement de la configuration.
Vous avez une expérience pratique de Backstage (catalogue, modèles logiciels, TechDocs et plugiciels), ou vous avez conçu un portail de développement interne équivalent et êtes en mesure de nous présenter votre expérience en détail.
Vous maîtrisez Kubernetes, GitOps (Argo CD ou Flux) et Terraform sur une plateforme infonuagique d’envergure. Une expérience avec GCP ou Azure est un atout.
Vous avez de l’expérience en CI/CD et en ingénierie des mises en production : modèles de pipelines, promotion entre les environnements, déploiements et retours en arrière sécuritaires.
Vous utilisez régulièrement des outils de codage assistés par l’IA et avez une opinion réfléchie sur la place qu’ils devraient occuper dans le cycle de développement d’une équipe.
Vous avez une connaissance pratique de l’observabilité : traces, métriques, journaux et objectifs de niveau de service (SLO).
Vous êtes une personne de terrain, et non uniquement une personne de stratégie. Vous avez suffisamment d’expérience pour mener des initiatives et bâtir des solutions à partir de zéro avec peu de supervision. Vous aimez mettre la main à la pâte.

Atouts

Expérience dans le développement de plugiciels Backstage personnalisés ou dans l’exploitation de Backstage à grande échelle.
Expérience dans la création de serveurs MCP ou d’outils pour agents, ou dans l’intégration de grands modèles de langage (LLM) aux pipelines CI/CD et aux flux de travail des développeurs.
Expérience dans la définition de règles de gouvernance pour le code généré par l’IA : normes de révision, limites d’autorisation et pistes d’audit.
Connaissance des politiques en tant que code et de la sécurité de la chaîne d’approvisionnement logicielle (OPA, Kyverno, SBOM et signature d’artefacts).
Expérience avec les indicateurs DORA, la mesure de la satisfaction des développeurs et les environnements éphémères.
Expérience en livraison de solutions dans un environnement réglementé ou dans le secteur des services financiers.

Pourquoi ce poste est important chez Flinks 💡

Un terrain à bâtir : vous définirez le parcours de référence plutôt que de simplement reprendre un modèle existant.
Un impact à grande échelle : les solutions que vous développerez seront utilisées par toutes les équipes d’ingénierie de Flinks.
Une grande visibilité : la livraison assistée par l’IA est l’une des principales priorités de l’entreprise.
Un rôle qui façonne l’avenir : vous contribuerez à définir la façon dont les agents d’IA conçoivent et livrent des logiciels dans un environnement réglementé, tout en évoluant dans un milieu stimulant où plusieurs fondations sont déjà en place.

Le processus d’entrevue 🏗

Appel d’introduction avec notre responsable des ressources humaines.
Rencontre avec le gestionnaire d’embauche.
Entrevue technique d’une heure.

Apply About employer

More about this job

Responsibilities

You will build and maintain an internal developer platform using Backstage to streamline the software development lifecycle and infrastructure provisioning. Additionally, you will define standards for AI-assisted development and ensure secure, scalable delivery in a regulated financial environment.

Requirements

Candidates must have 8 to 10 years of experience in platform, DevOps, or infrastructure engineering with strong proficiency in production-level coding. Hands-on experience with Kubernetes, GitOps, Terraform, and internal developer portals like Backstage is essential.

Skills

Platform Engineering
DevOps
Kubernetes
Backstage
GitOps
Terraform
CI/CD
Azure DevOps
Argo CD
Infrastructure as Code
Software Development
C#
Go
Python
Observability
AI Agent Integration

Remote locations

Montreal, Quebec, Canada

Remote locations (standardized)

Montreal, Quebec, Canada

Visa sponsorship

Not detected in the job text

Keywords

Platform Engineering
DevOps
Infrastructure Engineering
Backstage
Kubernetes
GitOps
Argo CD
Terraform
CI/CD
Azure DevOps
C#
Go
Python
AI Agents
Observability
DORA Metrics
Embedded Finance
Open Finance
Cloud Infrastructure
Policy-as-code
Supply Chain Security
Helm
Kustomize
MCP Servers
Regulated Environment
Financial Services
Developer Experience
Automation
Scalability

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