Work Mode : (Hybrid – 3 Days Remote) Hourly Range : $90 – $95 Develop and manage PaaS infrastructure components including compute, database, storage, and integration services. Must have experience around software defined networking and familiar with service mesh like Istio, Envoy, etc Automate infrastructure provisioning and configuration using DevOps tools such as Azure DevOps (ADO) and GitHub. Knowledge of hardened automation techniques, such as vaulting secrets, RBAC, and encrypted communications Must have knowledge of one of the programming languages such as .NET, Node.js, or Java.

Monitor and optimize performance, scalability, and reliability of cloud infrastructure components. Ensure security, compliance, and governance across cloud-native and PaaS infrastructure deployments. Bachelor’s degree in computer science, Engineering, or related field.

Proven experience in cloud infrastructure engineering with a focus on cloud-native and PaaS services.

Proficiency in scripting languages: Bash, PowerShell, GO, and Python. Robust understanding of DevOps practices and tools including ADO and GitHub. Programming experience in .NET, Node.js, or Java for infrastructure automation.





Our client is dedicated to promoting employment equity and encourages applications from equity-seeking communities including but not limited to: Indigenous Peoples, racialized individuals, persons with disabilities, and women. Our client aims to build a diverse team that reflects the communities it serves, enhancing its ability to meet their needs. This effort supports our client’s long-term strategy for equity, diversity, and inclusion.

CPUS Engineering employs artificial intelligence (AI) tools as part of its recruitment process to enhance efficiency and consistency. These tools may assist with activities such as application screening, candidate evaluation, and summarization of interview feedback. AI-generated outputs are intended to supplement, not replace, human judgment.

All final hiring decisions are made by qualified human decision-makers who exercise professional discretion in reviewing and assessing candidate information alongside any AI-generated insights. CPUS Engineering ensures that the use of AI in recruitment complies with all applicable employment laws, human rights legislation, and privacy regulations.

📌 Software Engineering - Technical Team Lead (Whitby)
🏢 360insights (Canada
📍 Whitby