Senior Software Engineer, Infrastructure

About the Role

This is a backend-architecture-heavy platform engineering role focused on owning the reliability, scale, performance, and developer experience of core infrastructure systems. You will join an engineering team of roughly 15 people working on an AI/ML evaluation and reinforcement learning platform. Your work directly shapes 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, including 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 production code to automate systems, improve backend services, and build 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.

Proven track record 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, 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; generic DevOps or infrastructure-only experience is not sufficient.

Demonstrated focus on reducing cloud spend through better architecture, autoscaling, workload placement, caching, or cleanup systems.

Comfort writing production-quality code to automate and improve systems, not just configure them.

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 or working remotely from other regions may also be considered depending on location; please review the role requirements carefully.