Software Engineer (Systems & Cloud) [#4851]

Alteo Inc.; Montreal; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A leading software company in Montreal seeks a Senior Software Engineer to design and operate a multi-cloud control plan. You will be instrumental in implementing infrastructure as code and securing deployments. The ideal candidate has over 5 years of experience in distributed systems and proficiency in cloud technologies, with a hybrid work arrangement (2-3 days in-office).

Qualifications

• 5+ years of experience in distributed systems/control planes.
• Experience with Go or Rust (Python tooling).
• Good understanding of concurrency/retries/back-pressure.

Responsibilities

• Design and operate a multi-cloud control plan.
• Develop provider adapters for various services.
• Implement security by design and observability.

Skills

Distributed systems/control planes

Cloud service proficiency (AWS/GCP/Azure)

IaC tools (Terraform/OpenTofu/Pulumi)

Go or Rust

Data-driven debugging

Education

Bachelor's degree in IT or equivalent

Tools

Kubernetes

GitHub Actions

Postgres/Redis

Job description

Overview

Field IT

Job Description Alteo is looking for a Senior Software Engineer (Systems & Cloud) for a permanent position based in Montreal.

Hybrid work: 2/3 days per week in the office

Responsibilities

Design and operate a multi-cloud control plan that transforms intentions into production infrastructure (IaC, CI/CD) on AWS/GCP/Azure/OVH/Hetzner: development of provider adapters (network, IAM, KMS, storage, compute/K8s), idempotent reconciliation controllers, secure deployments (canary/rollback), observability (OpenTelemetry/Prometheus), and security by design (least-privilege, OIDC/STS).

Qualifications

• Bachelor\'s degree in IT, software engineering, or equivalent
• 5+ years of experience in distributed systems/control planes
• Experience with Go or Rust (Python tooling)
• Proficiency in at least one major cloud, IaC (Terraform/OpenTofu/Pulumi), CI/CD
• Good understanding of concurrency/retries/back-pressure, data-driven debugging
• Assets: Kubernetes internals (operators/CRD), GPU/CUDA/MIG, OPA/Sentinel, Terraform/Pulumi provider dev, networking/IPsec/BGP, hyperscalers/silicon/dev-infra experience.
• Considered stack: Go, Rust, Python, gRPC/HTTP, Postgres/Redis, NATS/Kafka, Kubernetes/Helm, Terraform/OpenTofu, GitHub Actions, OTel/Prometheus/Grafana.