Key skills
AzureCloudDockerKubernetesPythonSQLShellBashPowerShellAIMLLLMOpenAIAnalyticsBIPower BIAKSAzure DevOpsAzure SQLAzure MonitorAgileCI/CDMentoringCommunication
About this role
Role Overview
- Lead solution design and implementation aligned to business requirements, ensuring quality delivery and accurate effort estimation
- Proactively identify operational challenges, drive root cause analysis, and resolve complex application and infrastructure issues end-to-end
- Mentor and upskill team members, sharing knowledge across cloud, AI/ML, and Windows platforms
- Drive continuous improvement through automation and the adoption of AI-assisted solutions in workflows and operations
- Evaluate and integrate Azure AI and ML capabilities (e.g., Azure OpenAI, Cognitive Services, Copilot) into cloud operations
- Manage and prioritize work within an agile environment, balancing incidents, infrastructure tasks, and delivery commitments
- Collaborate with cross-functional teams to ensure alignment between engineering, business, and operational goals
- Communicate technical decisions, risks, and progress clearly to stakeholders
- Contribute to cost optimization, access management, and governance across Azure environments
- Support DevOps best practices, including CI/CD pipelines, infrastructure management, and system reliability
Requirements
- 5+ years of hands-on experience working with Microsoft Azure (App Services, Functions, VMs, Azure Monitor)
- Strong scripting and automation skills (PowerShell, Bash, Shell, or Python)
- Experience with SQL and data querying (T-SQL, Azure SQL); familiarity with analytics tools such as Power BI is a plus
- Hands-on experience with Azure AI / Cognitive Services (e.g., Azure OpenAI, AI Search, ML Studio) and applying AI to operational workflows
- Experience with Azure DevOps (pipelines, agents, access management)
- Strong understanding of cloud administration, cost management, and access/governance models
- Proven experience leading or mentoring engineering teams and driving delivery outcomes
- Ability to troubleshoot and resolve complex infrastructure and application issues
- Strong communication skills with the ability to translate technical concepts for business stakeholders
- Nice to have: Experience with Azure AI Foundry, LLM integrations, Docker/Kubernetes (AKS), and container-based workloads
Tech Stack
- Azure
- Cloud
- Docker
- Kubernetes
- Python
- SQL
Benefits
- Health insurance fully paid–Spouse, children, and Parents
- Accident insurance fully paid
- Flexible working allowance
- 25 days holidays
- 7 paid sick days
- 10 public holidays
- Employee Assistance Program