Clera

Senior Software Engineer, Infrastructure

Singapore. Posted 3 days ago

The role

You will own reliability, scale, performance and developer experience of core platform systems for AI model training and evaluation. You will build and operate infrastructure on AWS and help the engineering team deploy and run services efficiently.

What you will do

  • Own production uptime, latency, provisioning speed, infrastructure costs and incident response for core platform services.
  • Build and maintain AWS infrastructure using Terraform, Kubernetes/EKS, Helm, Docker, EC2, CodeBuild, ECR, S3, IAM, networking and secrets management.
  • Improve platform architecture through capacity planning, autoscaling, queueing, backpressure, cleanup jobs, retries and rollback paths.
  • Develop dashboards, alerts, logs, traces, SLOs, runbooks and on-call workflows.
  • Build CI/CD pipelines, release automation, environment management and safe deployment workflows.
  • Write production code for infrastructure automation, backend services and internal developer tools.

Required qualifications

  • At least 2 years of experience in platform engineering, backend engineering or infrastructure roles operating production cloud systems, with relevant technical studies or equivalent fundamentals.
  • Production experience with AWS and containerized systems, including Terraform, Kubernetes/EKS, Docker, networking, load balancers and secrets management.
  • Experience owning uptime, latency, incident response, CI/CD, deployment safety and observability for high-availability platforms.
  • Strong backend engineering judgment across service architecture, APIs, databases, asynchronous systems, queues and production failure modes.

Nice to have

  • AI/ML platform or software engineering experience, ideally with data-heavy systems, distributed workers, bursty workloads, long-running jobs, sandboxed execution or high-concurrency services.
  • Experience reducing cloud costs and improving engineering productivity through architecture, automation, workload placement, caching or cleanup systems.

Before you apply

  • Visa sponsorship is available.

About the company

clera is building infrastructure for AI model training and evaluation with a small engineering team.