Jobs / LEAP Legal Software

Senior Platform Engineer

LEAP Legal Software · Sydney, NSW, Australia
Sydney, NSW, AustraliaHybrid
Remuneration
Not specified
Location
Sydney, NSW, Australia
Visa sponsorship
Not specified

Job summary

Build and evolve a shared engineering and AI platform for application teams developing LegalTech products. Deliver paved-road tooling, CI/CD pipelines, environments, secrets management, observability, and automated security and compliance controls, including SAST, dependency and infrastructure-as-code scanning, SBOMs, and policy-as-code. Develop AI agents and a governed LLM gateway with model allow-listing, usage telemetry, and cost attribution to support safe, effective AI adoption.

Benefits

Additional paid wellbeing day each yearFree gym membershipCorporate dental planWeekly office massagesWeekly catered breakfast and lunchFully stocked kitchenOn-site baristaHome-buying support program

Qualifications

  • Design practical architectures and deliver them in working increments.
  • Look for opportunities to automate repeated manual checks.
  • Collaborate across teams and build consensus.
  • Use AI tools and apply them effectively and cost-consciously.
  • Explain technical trade-offs to engineers and executives.
  • Build security controls into systems from the outset.

Responsibilities

  • Build shared platform services, including build and deployment pipelines, environments, secrets management, an LLM gateway, and observability.
  • Design and maintain paved-road tooling that makes secure, compliant application delivery straightforward.
  • Own, document, and evolve platform architecture decisions.
  • Implement CI/CD release gates for security scanning, SBOMs, and policy-as-code.
  • Automate compliance evidence collection and flag failing or stale release-readiness evidence.
  • Build dashboards that show application status and surface exceptions.
  • Develop AI agents and bots for code and security review, release-readiness checks, documentation, and developer self-service.
  • Establish AI governance that tracks usage, purpose, and cost across products and internal work.
  • Route model usage through a governed LLM gateway with model allow-listing, cost attribution, and usage telemetry.
  • Build integrations between product teams, platform APIs, internal services, and external AI providers.
  • Collaborate with product, security, DevOps, legal, quality, and leadership teams to agree on standards and drive adoption.
  • Run workshops, document the framework, and enable teams to use it.

Skills

Make

Industry

LegalTech

Relocation

No