Cloud Engineer

TechDoQuest; Lisle (IL); On-site; USD 90,000 - 130,000; Full time

Job summary

TechDoQuest is seeking a Cloud Infrastructure Engineer to design and maintain cloud infrastructure and platform services primarily on Microsoft Azure. The ideal candidate will manage Infrastructure as Code (IaC), support CI/CD pipelines, and ensure compliance with security standards.

Candidates should have strong experience with Kubernetes, networking principles, and a collaborative approach in Agile environments. Join us in transforming legacy applications into cloud-native architectures.

Qualifications

• 5+ years of experience in Cloud / Infrastructure roles.
• Proficient in Microsoft Azure services and tools.
• Hands-on experience with Kubernetes and containerized workloads.

Responsibilities

• Design and maintain cloud infrastructure and platform services.
• Implement and manage Infrastructure as Code (IaC).
• Support CI/CD pipelines and automation.

Skills

Cloud / Infrastructure Engineering

Microsoft Azure

Kubernetes (AKS)

Networking principles

CI/CD pipelines

Git and branching strategies

Scripting and automation

Agile delivery

DevSecOps/SRE practices

Tools

Terraform

Azure DevOps

Prometheus

Grafana

Argo CD

Job description

Responsibilities

• Design, build, and maintain cloud infrastructure and platform services on Azure supporting web and API-based applications.
• Implement and manage Infrastructure as Code (IaC) using Terraform to deliver repeatable and compliant environments.
• Support and optimize Azure Kubernetes Service clusters, including deployment, scaling, upgrades, and operational troubleshooting across multiple application environments (dev/test/prod).
• Partner with application teams to ensure secure, performant, and scalable deployments, providing guidance on best practices.
• Implement and enforce security, governance, and compliance controls across cloud environments.
• Support CI/CD pipelines, enabling automated builds, deployments, and environment provisioning in Azure DevOps.
• Manage and operate Argo CD.
• Monitor system health, performance, and cost, proactively identifying risks and optimization opportunities using Prometheus and Grafana.
• Lead and contribute to modernization efforts, including migrating legacy workloads to cloud-native architectures.
• Troubleshoot complex infrastructure and deployment issues across lower and higher environments.
• Participate in Agile ceremonies and collaborate effectively in a fast‑paced, cross‑functional team.
• Maintain documentation and promote operational best practices that support long‑term platform reliability.
• Maintain and track certificates to ensure consistent website uptime and user experience.
• Along with other members of the team, provide support when production issues occur.

Required Skills & Experience

• Strong experience as a Cloud / Infrastructure Engineer, primarily in Microsoft Azure.
• Hands‑on experience with Kubernetes (AKS) and containerized workloads.
• Strong understanding of networking, identity, access management, and cloud security principles.
• Experience implementing and maintaining CI/CD pipelines using Azure DevOps or similar tools.
• Proficiency with Git and branching strategies (e.g., GitFlow).
• Experience supporting Web APIs and application platforms from an infrastructure and operational perspective.
• Knowledge of performance, scalability, high availability, and disaster recovery design.
• Experience with automation, scripting, and operational tooling.
• Familiarity with Agile delivery models and DevSecOps/SRE practices.
• Ability to work independently, prioritize effectively, and collaborate across teams.
• Familiarity with React/.NET application stacks from a platform support perspective.

Nice to Have

• Experience modernizing legacy applications to cloud‑native architectures.
• Experience with policy management (Azure Policy) and governance frameworks.
• Exposure to monitoring and observability tools including Loki and OpenTelemetry.
• Strong communication skills to translate infrastructure concepts to non‑infrastructure teams.
• Experience implementing AI thoughtfully across platform engineering and application teams.