Senior Platform Engineer - AI, Observability & Equity

Blinq

City of Melbourne

Hybrid

AUD 140,000 - 190,000

Full time

11 days ago
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Benefits offered by this job

Equity and ownership
Competitive salary with growth path
20 days annual leave + flexible time
Regular catered lunches
Social & wellness activities

Job summary

Blinq is hiring a Senior Platform Engineer to accelerate engineering velocity across web, iOS, Android and backend services on Google Cloud. You’ll own the platforms, pipelines and tooling between ideas and shipped features, with emphasis on observability, CI/CD, and secure-by-default practices.

You’ll work closely with SRE, QA and product teams to shorten feedback loops, build internal tools, and shape AI-enabled developer workflows while ensuring security and reliability at scale.

Qualifications

  • 5+ years in platform, DevOps, SRE or infrastructure roles with impact.
  • Proven CI/CD pipelines improvement, including mobile builds (iOS/Android).
  • Experience with end-to-end test automation and temporary environments.
  • Strong observability knowledge; Datadog experience preferred.

Responsibilities

  • Improve observability self-serve capabilities for engineers across stacks.
  • Accelerate CI/CD and release automation for web, backend, iOS and Android.
  • Build/maintain environments, seed data, and templates for quick start.
  • Develop internal tools to remove toil and improve productivity.
  • Collaborate with QA and product engineers to optimize workflows.

Skills

CI/CD pipelines
Observability
DevOps
SRE
TypeScript
AI in dev workflow
Collaboration

Tools

Datadog
Google Cloud (GCP)
Infrastructure as Code (IaC)
Terraform

Job description

Blinq is hiring a Senior Platform Engineer to accelerate engineering velocity across web, iOS, Android and backend services on Google Cloud. You’ll own the platforms, pipelines and tooling between ideas and shipped features, with emphasis on observability, CI/CD, and secure-by-default practices.

You’ll work closely with SRE, QA and product teams to shorten feedback loops, build internal tools, and shape AI-enabled developer workflows while ensuring security and reliability at scale.

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