Python Professional

Job Summary


Engagement Context


Responsibilities

• Develop Python/PowerShell automation for cloud operations, diagnostics and remediation.
• Integrate Datadog, CloudWatch, Azure Monitor and ITSM through APIs/webhooks.
• Automate alert enrichment, ticket creation/update, health checks and approved remediation.
• Build reusable AWS/Azure operational scripts and modules.
• Implement validation, logging, retry, error handling and rollback controls.
• Develop automation runbooks with prerequisites, risks and rollback procedures.
• Identify high-volume manual NOC activities suitable for automation.
• Implement approval gates and guardrails for high-risk actions.
• Maintain version-controlled automation assets and secure coding practices.
• Test automation in controlled environments before production.
• Track automation success and manual effort avoided.

Must-Have Technical & Operational Skills

• 5+ years scripting/automation with strong Python and PowerShell.
• AWS/Azure automation using SDKs, CLI and APIs.
• REST API, JSON, webhook and authentication concepts.
• Monitoring / observability-to-ITSM integration.
• CloudWatch and Azure Monitor automation.
• Cloud operations understanding.
• Production-quality coding with logging, security and rollback.
• Git/version control and controlled releases.
• ITIL change controls and production automation governance.

Nice-to-Have Skills

• Datadog API/workflows.
• Jira Service Management or ServiceNow APIs.
• Terraform, GitHub Actions or Azure DevOps.
• AWS Lambda, Azure Functions or Logic Apps.
• EventBridge/Event Grid and event-driven architecture.
• AIOps, LLM/RAG or agentic automation.
• Human-approved auto-remediation guardrails.

Working Model


Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.