Platform Engineer: Cloud Infra, CI/CD & MLOps

Lumi

Sydney

On-site

AUD 140,000 - 210,000

Full time

46 hours ago
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Benefits offered by this job

Free counselling
Wellbeing allowance
Home workspace allowance
Parental leave
Hackathons
Stocked kitchen
Beer on tap
Rooftop BBQs
Competitive pay
Referral bonuses

Job summary

Lumi is seeking a Platform Engineer to bridge software development and infrastructure, ensuring reliability, performance, and scale of our engineering platforms in Australia. You will build out our infrastructure, refine CI/CD pipelines, and establish monitoring for fast-paced deployments.

You will optimize databases, support an event-driven architecture, and contribute to building production-level AI infrastructure and MLOps capabilities as we scale.

Qualifications

  • Hands-on experience in AWS cloud infrastructure, Docker and Kubernetes.
  • A track record of building CI/CD pipelines and comprehensive infrastructure monitoring.
  • Proven experience in database performance monitoring with MongoDB and PostgreSQL, including cluster management, query optimization and performance tuning.
  • An eagerness to learn MLOps principles and help build production AI infrastructure.

Responsibilities

  • Bridge software development and infrastructure to ensure reliability, performance and scalability of engineering platforms.
  • Build out infrastructure, refine CI/CD pipelines and establish robust monitoring systems.
  • Optimize databases and support modern event-driven architecture for fast deployments.
  • Participate in building and scaling production-level AI infrastructure and agents.

Skills

AWS
Docker
Kubernetes
CI/CD pipelines
Infrastructure monitoring
MongoDB
PostgreSQL
MLOps interest

Tools

Docker
Kubernetes
MongoDB
PostgreSQL
CI/CD
AWS

Job description

Lumi is seeking a Platform Engineer to bridge software development and infrastructure, ensuring reliability, performance, and scale of our engineering platforms in Australia. You will build out our infrastructure, refine CI/CD pipelines, and establish monitoring for fast-paced deployments.

You will optimize databases, support an event-driven architecture, and contribute to building production-level AI infrastructure and MLOps capabilities as we scale.

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