Senior Software Engineer – DevOps

Job description

• Infrastructure & Automation
  • Implement Infrastructure as Code using Terraform, CloudFormation, Crossplane or ARM templates
  • Build and maintain CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, ArgoCD, or Azure DevOps
  • Manage containerized applications with Docker and Kubernetes orchestration
  • Automate deployment processes and configuration management
  • Optimize cloud infrastructure for performance, cost, and security
  • Strong scripting abilities (Python, Bash, PowerShell)
  • Nice to have: Experience using AI-assisted DevOps tools to detect risks, predict build failures, and review generated scripts, pipelines, and IaC configurations.
• Technical Implementation
  • Configure monitoring and alerting systems (Prometheus, Grafana, ELK Stack)
  • Implement security best practices including vulnerability scanning and compliance checks
  • Manage version control workflows and branching strategies
  • Troubleshoot production issues and perform root cause analysis
  • Maintain backup and disaster recovery procedures
• Collaboration & Mentoring
  • Work closely with development teams to improve deployment practices
  • Mentor junior DevOps engineers and provide technical guidance
  • Participate in on-call rotations and incident response
  • Document processes and procedures for knowledge sharing
  • Contribute to DevOps strategy and tool selection decisions
• Problem-Solving Focus
  • Hands-on implementation of technical solutions
  • Proactive optimization of existing systems
  • Rapid troubleshooting and issue resolution
  • Continuous improvement mindset
  • Quality assurance and testing integration
• Leadership Qualities
  • Technical mentorship of junior team members
  • Cross-team collaboration and communication
  • Knowledge sharing (especially in AI) and documentation

Qualifications

• Must Have
  • At least 3 years of professional experience in DevOps, cloud engineering, infrastructure automation, platform engineering, or a related role.
  • Strong hands-on experience with Microsoft Azure, including deploying, operating, and optimizing cloud infrastructure.
  • Strong experience building and maintaining CI/CD pipelines using Azure DevOps.
  • Strong experience implementing Infrastructure as Code using Terraform.
  • Hands-on experience with Docker, Kubernetes, scripting, and automation using PowerShell, Bash, Python, or similar languages.
  • Experience with monitoring, logging, cloud security, secrets management, backup, and disaster recovery practices.
  • Strong understanding of Git workflows, branching strategies, artifact management, and secure deployment processes.
  • Proven ability to troubleshoot production issues, perform root cause analysis, and drive effective incident resolution.
  • Ability to work independently, manage priorities, and take end-to-end ownership of technical deliverables.
  • Good English communication and collaboration skills, with the ability to work effectively with international and cross-functional teams.
• Preferred Qualifications
  • Experience with Azure-native services, particularly Azure Kubernetes Service (AKS), Azure Monitor, and Application Insights; relevant Azure, Kubernetes, or Terraform certifications are an advantage.
  • Experience working with international teams and providing technical guidance or mentorship to other engineers.
  • Familiarity with AI-assisted DevOps tools for pipeline troubleshooting, script generation, risk detection, and Infrastructure as Code reviews, with the ability to validate AI-generated outputs before implementation.