Software Engineer, Agent Infrastructure

Simular; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A forward-thinking tech company in Singapore is seeking a generalist backend/infrastructure engineer to design and scale systems behind their innovative cloud platform. The ideal candidate thrives in ambiguity and possesses strong programming skills in Python, Go, or Rust. Responsibilities include owning critical backend services and tackling infrastructure challenges. This role encourages collaboration with product and research teams to evolve the technology landscape and solve complex problems.

Qualifications

• Strong programming fundamentals in Python, Go, Rust, or similar.
• Experience with cloud infrastructure, distributed systems, and virtualization.
• Ability to think architecturally and design systems for the long run.

Responsibilities

• Design and scale systems behind Simular Cloud and cross-platform agents.
• Own critical backend services, including APIs and data flows.
• Address infrastructure challenges like VM orchestration and reliability.

Skills

Python

Go

Rust

cloud infrastructure

distributed systems

virtualization

CI/CD

Job description

Where multiple locations are listed for this role, the position may be based in any of those locations, with priority determined according to the order of listing.

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.