Software Engineer, Infrastructure

Simular; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A tech company in Singapore seeks a generalist backend/infrastructure engineer to design and scale systems, own backend services, and tackle infrastructure challenges. The ideal candidate has strong programming skills in languages like Python or Go, with experience in cloud infrastructure and distributed systems. The role requires ownership of big, evolving pieces of the system, focusing on architecture and long-term solutions.

Qualifications

• Strong programming skills with fundamentals in Python, Go, or Rust.
• Experience with cloud infrastructure and distributed systems preferred.
• Ability to handle ambiguous problems from start to finish.

Responsibilities

• Design and scale systems for Simular Cloud and cross-platform agents.
• Own critical backend services including APIs, data flows, and deployment pipelines.
• Address infrastructure challenges like VM orchestration and reliability.
• Lead the evolution of services when necessary.
• Collaborate with product and research to implement ideas.

Skills

Strong programming fundamentals (Python, Go, Rust)

Cloud infrastructure

Distributed systems

Virtualization

CI/CD

virtualization

CI/CD

Job description

At Simular, we’re building the next generation of computer user agents - AI systems that can actually use your computer for you. Our backend powers everything from live VM orchestration to agent planning and execution.

We’re looking for a generalist backend/infrastructure engineer who thrives in ambiguity, has strong architectural instincts, and wants to own big, evolving pieces of our system. This isn’t a narrow “DevOps” or “API engineer” role - you’ll be shaping how our platform scales and evolves over the next few years.

What you’ll do

• Design and scale the systems behind Simular Cloud and our cross-platform agents.

• Own critical backend services: APIs, data flows, billing, observability, deployment pipelines.

• Tackle hard infra challenges: VM orchestration, reproducibility, parallel execution, reliability.

• Spot when it’s time to split/refactor services and lead that evolution.

• Explore new directions as the product grows - from microVMs to multi-agent orchestration, fine-tuned model endpoints, or community task galleries.

• Collaborate with product and research to turn ideas into production systems.

You might be a fit if

• You’re a strong programmer with solid fundamentals (Python, Go, Rust, or similar).

• You have experience with some of: cloud infra, distributed systems, virtualization, CI/CD — but more importantly, you can pick up whatever’s needed.

• You think in terms of architecture, not just code: you know when to hack and when to design for the long run.

• You’re comfortable owning big ambiguous problems end-to-end.

• Bonus: you’ve touched GPU scheduling, large-scale ML infra, or scaling SaaS systems.