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Clera

Senior Software Engineer, Infrastructure

Singapore
Salary
$100,000 - $170,000
Level
Senior
Work type
On-site · Singapore
Visa
Sponsors visas

Open. First seen 13 October 2026.

The team: Engineering HIRES STEADILY

This role is one of 246 open in Engineering. 180 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

LLM (118 of 246), TypeScript (112 of 246), Python (103 of 246), React (92 of 246), Machine Learning (61 of 246), PostgreSQL (44 of 246), JavaScript (41 of 246)

OTHER ROLES ON THIS TEAM

From the team and dates on Clera's own job board.

About the role

About the Role

Join an engineering team building infrastructure for AI/ML training and evaluation platforms. You will own the reliability, scalability, performance, and developer experience of core systems that support high-concurrency workloads.

What You'll Do

  • Own production uptime, latency, infrastructure provisioning, cloud costs, and incident response for core services.
  • Build and maintain AWS infrastructure using Terraform, Kubernetes/EKS, Helm, Docker, EC2, CodeBuild, ECR, S3, IAM, networking, and secrets management.
  • Improve platform and backend systems through capacity planning, autoscaling, queueing, backpressure, retries, cleanup jobs, and safe rollback paths.
  • Develop dashboards, alerts, logs, traces, SLOs, runbooks, and on-call workflows to help teams detect and resolve failures quickly.
  • Build CI/CD pipelines, release automation, environment management, and deployment workflows, along with production code and internal tools that improve engineering productivity.

What We're Looking For

  • At least 2 years of experience in platform engineering, backend engineering, or infrastructure roles operating production cloud systems.
  • Strong production experience with AWS, containers, Terraform, Kubernetes/EKS, Docker, networking, load balancers, and secrets management.
  • Experience owning reliability and incident response, and building CI/CD, observability, and safe deployment systems.
  • Solid backend engineering judgment across service architecture, APIs, databases, and asynchronous systems.
  • AI/ML platform or software engineering experience, ideally with data-heavy workloads, distributed workers, long-running jobs, or high-concurrency services.
  • A record of writing production code and improving infrastructure efficiency, scaling, or cloud costs.

Compensation & Benefits

Annual salary: USD 100,000 to USD 170,000. Visa sponsorship is available.

Location

On-site in Singapore, Singapore.

Other openings for this role

3 open postings for this role in Singapore, first posted 2 October 2026. The company is likely hiring for more than one position. None has been taken down and posted again.

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