Senior Software Engineer, Infrastructure

Clera; Singapore; On-site; SGD 191,000 - 319,000; Full time

Benefits offered by this job

Visa sponsorship

On-site in Singapore

Job summary

Clera is seeking a backend-architecture-heavy platform engineer to own reliability, scale, performance, and developer experience for an AI/ML evaluation and reinforcement learning platform. You will work within a tight-knit engineering team of about 15 people to shape core infrastructure that is fast, reliable, and cost-efficient.

You will manage production uptime and latency, build AWS infrastructure with Terraform, Kubernetes/EKS, Docker, and related tools, design scalable backend systems,

Qualifications

• 2–4 years owning production cloud infrastructure for high-availability platforms.
• Hands-on AWS and containerized systems experience (Terraform, Kubernetes, Docker).
• Experience with CI/CD, observability, alerting, and incident response.
• Strong backend judgment across APIs, databases, and async systems.
• Experience designing for bursty workloads and high-concurrency services.

Responsibilities

• Own production uptime, latency, provisioning speed, infra cost, 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.
• Design scalable backend and platform systems, including capacity planning, autoscaling, queues, and rollback paths.
• Define and improve dashboards, alerts, logs, traces, SLOs, runbooks, and on-call workflows.

Skills

Cloud infrastructure ownership

AWS & containerized systems

CI/CD & observability

Backend systems design

Performance & scale

Cost optimization

Tools

Terraform

Kubernetes/EKS

Docker

EC2

Networking & IAM

Job description

About the Role

This is a backend-architecture-heavy platform engineering role sitting within a tight-knit engineering team of roughly 15 people. You will own the reliability, scale, performance, and developer experience of core infrastructure and systems for an AI/ML evaluation and reinforcement learning platform. The work has direct, measurable impact on how fast, reliable, and cost-effective the platform is to build on and operate.

What You'll Do

• Own production uptime, latency, provisioning speed, infrastructure cost, 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.
• Design and improve backend and platform systems for scale, covering capacity planning, autoscaling, queueing, backpressure, cleanup jobs, retries, and rollback paths.
• Define and improve dashboards, alerts, logs, traces, SLOs, runbooks, and on-call workflows so failures are detected, debugged, and resolved quickly.
• Build reliable CI/CD pipelines, release automation, environment management, and deployment workflows that improve developer productivity and reduce production risk.
• Write clean, maintainable code to automate systems, improve backend services, and create internal developer tooling.

What We’re Looking For

• 2 to 4 years of experience owning production cloud infrastructure for a high-availability, user-facing platform, with responsibility for uptime, performance, deployment safety, and cost.
• Deep hands-on experience with AWS and containerized systems; Terraform, Kubernetes/EKS, Docker, EC2, networking, load balancers, and secrets management strongly preferred.
• A track record of building or operating CI/CD, release automation, observability, alerting, and incident response systems.
• Strong backend engineering judgment across service architecture, APIs, databases, async systems, queues, scaling limits, and production failure modes.
• Experience designing systems for bursty workloads, long-running jobs, sandboxed execution, distributed workers, or high-concurrency services.
• Background operating infrastructure for AI/ML, data-heavy, marketplace, workflow, developer-tools, or enterprise platforms.
• Demonstrated focus on reducing cloud spend through better architecture, autoscaling, workload placement, caching, cleanup systems, or observability.
• Ability to write clean, production-quality code; generic DevOps or infrastructure-only backgrounds without backend software engineering depth are not a strong fit.

Compensation & Benefits

Salary range: $150,000 to $250,000 USD annually. Visa sponsorship is available.

Location

On-site in Singapore. Candidates based in San Francisco are also considered for on-site work there. Candidates outside these locations, particularly in Europe, may be considered as fully remote independent contractors.