Senior DevOps Engineer
Summary
Senior DevOps Engineer maintains Azure cloud environments, automates IaC with Terraform/Ansible/Kubernetes, and embeds DevSecOps practices into CI/CD pipelines.
SNI is serving as a trusted IT Outsourcing partner in line with the needs of World's most prestigious firms and carried out successful projects worldwide.
Responsibilities:
Configure, maintain, and support Azure Cloud environments
Implement and manage Infrastructure as Code (IaC) using Terraform, Ansible, Kubernetes, and Azure Red Hat OpenShift (ARO).
Embed DevSecOps practices into pipelines, automating SAST, SCA, DAST, and container vulnerability scanning using tools like Sonatype.
Manage cloud identity, access, and security configurations, including Microsoft Entra ID (Azure AD), Active Directory, DNS, PKI, and certificates.
Automate operational workflows and platform management using Python, PowerShell, or Bash.
Drive developer enablement and AI-assisted engineering by integrating tools like GitHub Copilot and supporting Developer Portal platforms (Backstage/TechDocs).
Collaborate with cross-functional Cloud, Security, and AppSec teams to onboard, guide, and troubleshoot engineering workflows in Agile environments.
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Monitor platform health, observability, and CI/CD pipeline performance using enterprise monitoring solutions.
Skills:
Expert knowledge of Azure DevOps and GitHub Enterprise / GitHub Actions.
Hands-on IaC and container orchestration experience: Terraform, Ansible, Kubernetes, and Azure Red Hat OpenShift (ARO).
Practical experience with application security automation (SAST/SCA/DAST, Sonatype, container scanning) and identity management (Entra ID, PKI, DNS).
Proficiency in automation scripting using Python, PowerShell, or Bash.
Experience with AI-assisted development tools (e.g., GitHub Copilot) and supporting developer platform enablement.
Excellent customer-facing communication, stakeholder management, and Agile collaboration skills.
Nice-to-Have:
Exposure to Developer Portal frameworks (e.g., Backstage, TechDocs) and technical documentation creation.
Understanding of emerging AI concepts (Generative AI, Model Context Protocol - MCP, AI agents, developer productivity automation).
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Production experience with Linux, database management, and application server administration.
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