Senior Software Engineer, Infrastructure

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.