Senior Software Engineer, Infrastructure

Clera

Singapore14h ago

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Key details

Salary
$100K–$170K/yr
Location
Singapore
Work style
Onsite
Level
Senior
Job type
Full-time
Experience
2–5 yrs
Function
Software engineering
Focus area
Infrastructure / Cloud
Visa sponsorship
Available
Posted
14h ago

Skills

ai/mlawsbackend developmentcachingcapacity planningci/cdcloud computingconcurrencydesign systemsdockerec2ekshelmincident responseinfrastructure automationkubernetesmachine learningobservabilitys3secrets managementterraform

About the role

About the Role

Join a small engineering team building infrastructure for AI and machine learning platforms. You will own the reliability, scale, performance, and developer experience of core systems that support demanding workloads.

What You'll Do

  • Own uptime, latency, provisioning speed, infrastructure costs, and incident response for production platform services.

  • Build and maintain AWS infrastructure using Terraform, Kubernetes/EKS, Helm, Docker, EC2, CodeBuild, ECR, S3, IAM, networking, and secrets management.

  • Design systems for scale, including capacity planning, autoscaling, queueing, backpressure, cleanup jobs, retries, and rollback paths.

  • Improve dashboards, alerts, logs, traces, SLOs, runbooks, and on-call workflows to speed up detection and resolution of production issues.

  • Build CI/CD pipelines, release automation, environment management, and safe deployment workflows.

  • Write production code to automate infrastructure, improve backend services, and build internal developer tools.

What We're Looking For

  • At least 2 years of experience in platform, backend, or infrastructure engineering, operating production cloud infrastructure.

  • Strong technical fundamentals and production experience with AWS and containerized systems, including Terraform, Kubernetes/EKS, Docker, networking, load balancers, and secrets management.

  • Experience owning reliability and incident response, and building CI/CD, observability, and safe release workflows.

  • Sound backend engineering judgment across service architecture, APIs, databases, asynchronous systems, and production failure modes.

  • AI/ML platform or software engineering experience, with relevant work on data-heavy platforms, bursty workloads, long-running jobs, sandboxed execution, distributed workers, or high-concurrency services.

  • Experience improving cloud costs and developer productivity through architecture, autoscaling, workload placement, caching, cleanup systems, or internal tools.

Compensation & Benefits

Base salary: $100,000 to $170,000 USD annually. Visa sponsorship is available.

Location

On-site in Singapore, Singapore.

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