Senior Platform Engineer

Flinks is an embedded finance platform that provides data connectivity, financial intelligence, document fraud detection, open banking infrastructure, and account-to-account payments. Its customers include financial institutions, lenders, fintechs, and other businesses building financial experiences.

Calgary, CA
About Flinks

Flinks provides APIs, dashboards, and managed services for connecting to financial accounts, retrieving and enriching banking data, verifying documents, detecting fraud, initiating EFT and Interac payments, and operating open banking ecosystems. Its products include Connect, Upload, Enrich, Pay, Outbound, and Professional Services. Flinks serves financial institutions, credit unions, lenders, fintechs, and businesses requiring onboarding, KYC/KYB, underwriting, account funding, payment, fraud detection, and financial data infrastructure capabilities.

View jobs by Flinks

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will shape the use of AI agents in the software development lifecycle, including access controls, review, traceability, and approvals. You will build and maintain a Backstage-based internal developer platform, create secure agent-facing interfaces, evolve cloud and Kubernetes infrastructure, and improve self-service, delivery speed, and developer experience.

Requirements

  • 8 to 10 years of platform, DevOps, or infrastructure engineering experience with software development experience
  • Ability to write and maintain production code
  • Hands-on Backstage experience or experience building an equivalent internal developer portal
  • Kubernetes
  • GitOps using Argo CD or Flux
  • Terraform in a major cloud environment
  • CI/CD and release engineering experience
  • Daily use of AI coding tools
  • Observability knowledge including traces, metrics, logs, and SLOs
  • Ability to drive initiatives and build solutions with minimal direction

Responsibilities

  • Shape how AI agents and assistants operate within the software development lifecycle, including access, review, tracing, and approval controls
  • Encode quality, security, and policy standards in templates and pipelines
  • Build and own a Backstage-based internal developer portal, service catalog, and software templates
  • Build secure agent-facing interfaces, including MCP servers, for catalog, pipeline, and infrastructure access
  • Track agent-assisted changes using DORA and quality metrics
  • Evolve cloud and Kubernetes infrastructure and expand self-service provisioning with guardrails
  • Reduce developer toil across local development, preview environments, test feedback, and pipeline duration
  • Gather developer feedback, document solutions, drive adoption, and maintain tested, versioned platform code

Hiring Process

Introductory call with the Head of People, hiring manager conversation, and one-hour technical interview.