Software Engineer, Agent Infrastructure & Large-Scale Ops

AgentField.ai; Toronto; On-site; CAD 130,000 - 190,000; Full time

Job summary

AgentField.ai in Toronto is seeking a Software Engineer to architect and implement the agent infrastructure for large-scale deployments. You will design execution and scheduling for long-running workloads, build deployment paths including on-prem and air-gapped environments, and contribute to open-source guidance and tooling.

The role requires 5+ years in production backend and distributed systems, hands-on experience with Terraform, Docker, and Kubernetes, and a track record of scalable backend

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a closely related field, or equivalent practical experience.
• At least 5 years of experience building production backend and distributed systems, with previous experience in product-based startup environments.
• At least 3 years of experience contributing to enterprise open-source infrastructure: software shipped to external users and operated by people outside your own team.
• At least 3 years of experience in large-scale distributed compute: job schedulers and workflow orchestration engines; on-prem cluster management and deployment; distributed execution frameworks handling long-running, stateful, resumable workloads.
• Hands-on experience deploying AI agent systems into enterprise production, in a paid professional role at a real enterprise, not prototypes, demos, or side projects. You have dealt with what breaks when autonomous workloads meet real security review, real data boundaries, and real on-call.
• Experience with Terraform, containerization with Docker and Kubernetes, and systems design.
• Proven track record of designing and implementing highly scalable and reliable backend systems.
• Strong analytical and problem-solving skills.

Responsibilities

• Design and build execution and scheduling for long-running agent workloads across heterogeneous compute and sizes.
• Horizontal scaling in various dimensions: from million-agent scale to million identities.
• Build and maintain deployment paths our enterprise users depend on, including on-prem, air-gapped installs, and bring-your-own-cloud.
• Benchmark models across agentic workloads and build advanced agentic applications that demonstrate what the infrastructure makes possible.
• Continuously improve performance and reliability of the runtime through profiling, experimentation, and load testing.
• Participate in open-source stewardship: RFCs, design documents, code review, and the public issue tracker.
• Collaborate with cross-functional teams and directly with enterprise users deploying agents in production.

Skills

Backend development

Distributed systems

Open-source contributions

Education

Bachelor's degree in CS/Engineering or related field

Tools

Terraform

Docker

Kubernetes

Job description

AgentField.ai in Toronto is seeking a Software Engineer to architect and implement the agent infrastructure for large-scale deployments. You will design execution and scheduling for long-running workloads, build deployment paths including on-prem and air-gapped environments, and contribute to open-source guidance and tooling.

The role requires 5+ years in production backend and distributed systems, hands-on experience with Terraform, Docker, and Kubernetes, and a track record of scalable backend