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Lumi Verified 14h ago

Platform Engineer

Sydney, NSW, Australia Hybrid

Salary not listed
PaySalary not listed
TypeFull-time
Work settingHybrid
Verified listing

JobFig found this opening at its original source and checks that it remains available.

About the role

We are building a culture where you can grow and make a difference for customers. We are looking for people to join us on this journey who are passionate, curious and great problem-solvers. We are incredibly   proud of our awards, including most recently our Deputy CEO, Anna Hawter, receiving the Finnies’  2025 Outstanding FinTech Leader of the Year  award. We also ranked in the top #3 on the  2024 Australian Financial Review BOSS Best Places to Work  Banking, As a platform Engineer, you will bridge the gap between software development and infrastructure system operations to ensure the reliability, performance, and scalability of our engineering platforms. This is a highly technical, hands-on role where you will focus on building out our infrastructure, refining CI/CD pipelines, and establishing robust monitoring systems to support our fast-paced deployments. You will play a crucial part in optimizing our databases and supporting our modern event-driven architecture, enabling our engineering teams to deliver high-quality software efficiently and securely.

What you'll bring

  • This Person Is Someone With…
  • Strong software development background, with at least 3years of experience in hybrid Software Engineering and DevOps or Site Reliability Engineering (SRE) roles.
  • Proficiency in TypeScript and React, alongside a strong familiarity with modern event-driven microservice architectures.
  • At least 1 year of hands-on experience building CI/CD pipelines and creating comprehensive infrastructure monitoring systems.
  • Hands-on experience in Docker.
  • Proven experience in database performance monitoring and optimizations, specifically with hands-on expertise in MongoDB and Postgres cluster management query optimization, and performance tuning.
  • Experience with AWS infrastructure as an excellent add-on.
  • An eagerness to learn MLOps principles and a strong desire to help build out new production-level AI infrastructures.
  • Kubernetes management experience is highly preferred.

Benefits

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