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Eptura

Cloud Ops Lead

Eptura

. Lead solution design and implementation aligned to business requirements, ensuring quality delivery and accurate effort estimation .

Posted 5/21/2026full-timeGurugram • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies
AzureCloudDockerKubernetesPythonSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Benefits

Comp & perks
  • - 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

ATS Keywords

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Hard Skills & Tools
Microsoft AzurePowerShellBashShellPythonSQLT-SQLAzure SQLAzure AICognitive Services
Soft Skills
mentoringcommunicationproblem-solvingcollaborationleadershipcontinuous improvementroot cause analysisstakeholder managementagile methodologycost optimization