jobapplierSenior Software Engineer, Infrastructure
- Singapore
- On-site
- Senior Level
- 2+ years
- Posted
Skills
Required
- platform engineering / backend engineering / infrastructure
- AWS
- Terraform
- Kubernetes / EKS
- Docker
- networking
- CI/CD
- autoscaling
- production cloud systems
- containerized systems
- load balancers
- deployment automation
Preferred
- Helm
- EC2
- CodeBuild
- ECR
- S3
- IAM
- capacity planning
- backpressure
Join a small engineering team building infrastructure for AI model training and evaluation. In this backend-focused role, you will own the reliability, scale, performance, and developer experience of core platform systems.
Responsibilities
- 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.
- Improve systems for scale through capacity planning, autoscaling, queueing, backpressure, cleanup jobs, retries, and rollback paths.
- Develop dashboards, alerts, logs, traces, SLOs, runbooks, and on-call workflows to help teams detect and resolve failures quickly.
- Build CI/CD, release automation, environment management, and safe deployment workflows that improve developer productivity.
- Write production code to automate infrastructure, improve backend services, and build internal tools.
Requirements
- At least 2 years of experience in platform engineering, backend engineering, or infrastructure roles operating production cloud systems.
- Strong technical fundamentals and production experience with AWS and containerized systems, especially Terraform, Kubernetes/EKS, Docker, networking, load balancers, and secrets management.
- Experience owning reliability and incident response, and building CI/CD, deployment automation, and observability systems.
- Sound backend judgment across service architecture, APIs, databases, asynchronous systems, and production failure modes.
- AI/ML platform or software engineering experience, ideally involving data-heavy systems, bursty workloads, long-running jobs, sandboxed execution, or distributed workers.
- Ability to write maintainable production code and improve infrastructure efficiency through architecture, autoscaling, workload placement, caching, or cleanup systems.
Pay
Base salary: $100,000 to $170,000 USD annually. Visa sponsorship is available.
Location
On-site in Singapore, Singapore.