Software Developer, Infrastructure Platforms

Perceptyx•Toronto, ON

166d

About The Position

At Perceptyx, we’re on a mission to help organizations turn employee insights into measurable impact. Our AI-enabled employee experience platform leverages the science of listening, behavioral nudges, and predictive analytics to help clients elevate engagement, retention, and performance. We’re a team of innovators fueled by purpose, collaboration, and excellence — and we’re looking for someone who wants to play at the highest level. As a Software Developer, Infrastructure Platform, you will help build and maintain the cloud infrastructure, automation, and reliability practices that underpin all of Perceptyx's products. Working across AWS services, Kubernetes, infrastructure-as-code, and observability tooling, you will ensure our platform is scalable, secure, and operationally sound — enabling engineering teams to deliver with confidence and speed.

Requirements

3–5 years of experience in infrastructure engineering, platform engineering, SRE, or a related role in a B2B SaaS environment.
Solid working knowledge of AWS (EC2, EKS, RDS, S3, IAM, and VPC networking).
Hands-on experience with container orchestration (Kubernetes/Docker) and IaC tools (Terraform or CloudFormation).
Proficiency in at least one scripting or programming language (Python, Go, Bash, or similar).
Exposure to observability tools (Datadog, Grafana, CloudWatch) and GitOps workflows.
Strong troubleshooting skills with the ability to debug complex distributed systems issues.
Excellent communication skills—able to work with engineers across teams to understand infrastructure needs and deliver solutions.
Bachelor’s Degree (4-year) in Computer Science or equivalent professional experience.

Responsibilities

Build, maintain, and improve Perceptyx's AWS-based cloud infrastructure, ensuring high availability, security, and cost efficiency.
Write and maintain Terraform modules to provision and manage cloud resources consistently across all environments.
Support and operate Kubernetes clusters, including deployments, scaling, networking, and troubleshooting.
Contribute to observability by instrumenting services, building dashboards in tools like Datadog or Prometheus, and improving incident detection via SLO/SLI-based practices.
Participate in on-call rotations and incident response, contributing to root cause analysis (RCA) and driving follow-up improvements.
Automate toil and repetitive operational tasks to improve reliability and reduce manual effort.
Collaborate with application engineering teams to advise on architecture decisions and improve deployment workflows.
Assist with security hardening, patching, and compliance controls across our infrastructure.
Create and maintain infrastructure patterns, runbooks, and operational procedures to support team knowledge sharing.