Cloud IaaS-Azure Devops

Role Summary

We are seeking an Azure Infrastructure Engineer to lead Azure Platform Engineering, AIOps enablement, and enterprise‑grade API integrations.

This is a hands‑on, senior technical role responsible for building and operating a scalable Internal Developer Platform (IDP) that enables deep automation, observability, and AI‑driven operations through Python‑based services and API‑first integrations across Azure, DevOps, monitoring, and ITSM ecosystems.

Key Responsibilities

Platform Engineering & Leadership

• Own the Azure platform architecture, roadmap, and engineering standards.
• Define golden paths, reusable platform services, and self‑service capabilities.
• Act as the technical authority and escalation point for platform and CloudOps integrations.

Azure Infrastructure & Infrastructure‑as‑Code

• Architect and govern enterprise‑scale Azure infrastructure using Terraform (IaC‑first).
• Ensure consistent implementation of landing zones, networking, identity, and governance.
• Review Terraform modules for security, scalability, and operational readiness.

CI/CD, Automation & Python Engineering

• Define and lead Azure DevOps CI/CD standards using YAML pipelines.
• Build Python‑based automation, including:
• Orchestration and workflow engines
• Platform utilities, health checks, and guardrails
• Alert‑ and event‑driven remediation
• Integrate automation into CI/CD and operational workflows.

API Integration & Platform Connectivity (Core Focus)

• Serve as the API Integration Specialist, owning integrations across:
• Azure services (ARM, Azure Monitor, Log Analytics, AKS, Key Vault)
• Azure DevOps (pipelines, repos, artifacts, boards)
• Observability platforms (Grafana, Prometheus, Loki, Azure Monitor)
• ITSM / Operations tools (ServiceNow, incident and ticketing systems)
• Design API‑driven workflows using Python (REST, webhooks, event‑driven).
• Standardize authentication, authorization, and secrets management.
• Ensure integrations are secure, resilient, observable, and automation‑ready.

Kubernetes & Cloud‑Native Platforms

• Provide technical leadership for AKS platform architecture and operations.
• Define standards for networking, security, scaling, and lifecycle management.
• Guide teams on Helm‑based deployments and cloud‑native patterns.

AIOps & Observability

• Own the AIOps strategy for Azure CloudOps, including:
• Alert correlation and noise reduction
• Anomaly detection and predictive insights
• API‑driven and Python‑based automated remediation
• Standardize observability data for AIOps consumption.
• Continuously improve MTTR, availability, and operational efficiency.

Cross‑Team Leadership

• Mentor and lead platform and Azure infrastructure engineers.
• Partner with Security, FinOps, SRE, and CloudOps teams.
• Produce SOPs, runbooks, and API contracts suitable for L1/L2 and AIOps automation.

Business‑as‑Usual (BAU) & Rotational Support

• Own BAU platform and CloudOps operations, ensuring stability and reliability.
• Participate in rotational on‑call support, acting as Lead escalation for:
• Production incidents and service degradation
• AKS, Azure infrastructure, and CI/CD failures
• Drive incident triage, RCA, and post‑incident reviews, feeding outcomes into:
• Platform improvements
• Automation and AIOps use cases
• SOPs and runbooks
• Progressively automate BAU operations using Python, APIs, and CI/CD workflows.
• Partner with L1/L2 teams to shift left via automation and AIOps.

Required Skills & Experience

• Deep expertise in Microsoft Azure (compute, networking, identity, governance).
• Strong hands‑on experience with Terraform at enterprise scale.
• Advanced experience with Azure DevOps CI/CD and YAML pipelines.
• Strong experience with AKS / Kubernetes.
• Strong Python proficiency for automation and integrations.
• Strong experience with REST APIs, webhooks, and event‑driven architectures.
• Proven leadership in platform engineering, DevOps, or CloudOps.
• Practical experience or strong exposure to AIOps and observability.

Nice to Have: FastAPI/Flask, Helm, GitOps, policy‑as‑code, FinOps.

Qualifications

• Bachelor’s degree or equivalent experience.
• 8–12+ years in Azure infrastructure, DevOps, or platform engineering.
• Prior experience in a Lead technical role owning platforms or automation.

What Success Looks Like

• A highly automated, API‑driven Azure platform.
• Seamless integrations across Azure, DevOps, observability, and ITSM.
• Reduced incident noise and faster resolution through AIOps and automation.
• Strong engineering standards, platform adoption, and operational maturity.
• Reduced on‑call load over time through automation and AIOps.

Role Summary

We are seeking an Azure Infrastructure Engineer to lead Azure Platform Engineering, AIOps enablement, and enterprise‑grade API integrations.

This is a hands‑on, senior technical role responsible for building and operating a scalable Internal Developer Platform (IDP) that enables deep automation, observability, and AI‑driven operations through Python‑based services and API‑first integrations across Azure, DevOps, monitoring, and ITSM ecosystems.

Key Responsibilities

Platform Engineering & Leadership

• Own the Azure platform architecture, roadmap, and engineering standards.
• Define golden paths, reusable platform services, and self‑service capabilities.
• Act as the technical authority and escalation point for platform and CloudOps integrations.

Azure Infrastructure & Infrastructure‑as‑Code

• Architect and govern enterprise‑scale Azure infrastructure using Terraform (IaC‑first).
• Ensure consistent implementation of landing zones, networking, identity, and governance.
• Review Terraform modules for security, scalability, and operational readiness.

CI/CD, Automation & Python Engineering

• Define and lead Azure DevOps CI/CD standards using YAML pipelines.
• Build Python‑based automation, including:
• Orchestration and workflow engines
• Platform utilities, health checks, and guardrails
• Alert‑ and event‑driven remediation
• Integrate automation into CI/CD and operational workflows.

API Integration & Platform Connectivity (Core Focus)

• Serve as the API Integration Specialist, owning integrations across:
• Azure services (ARM, Azure Monitor, Log Analytics, AKS, Key Vault)
• Azure DevOps (pipelines, repos, artifacts, boards)
• Observability platforms (Grafana, Prometheus, Loki, Azure Monitor)
• ITSM / Operations tools (ServiceNow, incident and ticketing systems)
• Design API‑driven workflows using Python (REST, webhooks, event‑driven).
• Standardize authentication, authorization, and secrets management.
• Ensure integrations are secure, resilient, observable, and automation‑ready.

Kubernetes & Cloud‑Native Platforms

• Provide technical leadership for AKS platform architecture and operations.
• Define standards for networking, security, scaling, and lifecycle management.
• Guide teams on Helm‑based deployments and cloud‑native patterns.

AIOps & Observability

• Own the AIOps strategy for Azure CloudOps, including:
• Alert correlation and noise reduction
• Anomaly detection and predictive insights
• API‑driven and Python‑based automated remediation
• Standardize observability data for AIOps consumption.
• Continuously improve MTTR, availability, and operational efficiency.

Cross‑Team Leadership

• Mentor and lead platform and Azure infrastructure engineers.
• Partner with Security, FinOps, SRE, and CloudOps teams.
• Produce SOPs, runbooks, and API contracts suitable for L1/L2 and AIOps automation.

Business‑as‑Usual (BAU) & Rotational Support

• Own BAU platform and CloudOps operations, ensuring stability and reliability.
• Participate in rotational on‑call support, acting as Lead escalation for:
• Production incidents and service degradation
• AKS, Azure infrastructure, and CI/CD failures
• Drive incident triage, RCA, and post‑incident reviews, feeding outcomes into:
• Platform improvements
• Automation and AIOps use cases
• SOPs and runbooks
• Progressively automate BAU operations using Python, APIs, and CI/CD workflows.
• Partner with L1/L2 teams to shift left via automation and AIOps.

Required Skills & Experience

• Deep expertise in Microsoft Azure (compute, networking, identity, governance).
• Strong hands‑on experience with Terraform at enterprise scale.
• Advanced experience with Azure DevOps CI/CD and YAML pipelines.
• Strong experience with AKS / Kubernetes.
• Strong Python proficiency for automation and integrations.
• Strong experience with REST APIs, webhooks, and event‑driven architectures.
• Proven leadership in platform engineering, DevOps, or CloudOps.
• Practical experience or strong exposure to AIOps and observability.

Nice to Have: FastAPI/Flask, Helm, GitOps, policy‑as‑code, FinOps.

Qualifications

• Bachelor’s degree or equivalent experience.
• 8–12+ years in Azure infrastructure, DevOps, or platform engineering.
• Prior experience in a Lead technical role owning platforms or automation.

What Success Looks Like

• A highly automated, API‑driven Azure platform.
• Seamless integrations across Azure, DevOps, observability, and ITSM.
• ReducedRole Summary

• We are seeking an Azure Infrastructure Engineer to lead Azure Platform Engineering, AIOps enablement, and enterprise‑grade API integrations.

• This is a hands‑on, senior technical role responsible for building and operating a scalable Internal Developer Platform (IDP) that enables deep automation, observability, and AI‑driven operations through Python‑based services and API‑first integrations across Azure, DevOps, monitoring, and ITSM ecosystems.

• Key Responsibilities

• Platform Engineering & Leadership

• Own the Azure platform architecture, roadmap, and engineering standards.
• Define golden paths, reusable platform services, and self‑service capabilities.
• Act as the technical authority and escalation point for platform and CloudOps integrations.

• Azure Infrastructure & Infrastructure‑as‑Code

• Architect and govern enterprise‑scale Azure infrastructure using Terraform (IaC‑first).
• Ensure consistent implementation of landing zones, networking, identity, and governance.
• Review Terraform modules for security, scalability, and operational readiness.

• CI/CD, Automation & Python Engineering

• Define and lead Azure DevOps CI/CD standards using YAML pipelines.
• Build Python‑based automation, including:
• Orchestration and workflow engines
• Platform utilities, health checks, and guardrails
• Alert‑ and event‑driven remediation
• Integrate automation into CI/CD and operational workflows.

• API Integration & Platform Connectivity (Core Focus)

• Serve as the API Integration Specialist, owning integrations across:
• Azure services (ARM, Azure Monitor, Log Analytics, AKS, Key Vault)
• Azure DevOps (pipelines, repos, artifacts, boards)
• Observability platforms (Grafana, Prometheus, Loki, Azure Monitor)
• ITSM / Operations tools (ServiceNow, incident and ticketing systems)
• Design API‑driven workflows using Python (REST, webhooks, event‑driven).
• Standardize authentication, authorization, and secrets management.
• Ensure integrations are secure, resilient, observable, and automation‑ready.

• Kubernetes & Cloud‑Native Platforms

• Provide technical leadership for AKS platform architecture and operations.
• Define standards for networking, security, scaling, and lifecycle management.
• Guide teams on Helm‑based deployments and cloud‑native patterns.

• AIOps & Observability

• Own the AIOps strategy for Azure CloudOps, including:
• Alert correlation and noise reduction
• Anomaly detection and predictive insights
• API‑driven and Python‑based automated remediation
• Standardize observability data for AIOps consumption.
• Continuously improve MTTR, availability, and operational efficiency.

• Cross‑Team Leadership

• Mentor and lead platform and Azure infrastructure engineers.
• Partner with Security, FinOps, SRE, and CloudOps teams.
• Produce SOPs, runbooks, and API contracts suitable for L1/L2 and AIOps automation.

• Business‑as‑Usual (BAU) & Rotational Support

• Own BAU platform and CloudOps operations, ensuring stability and reliability.
• Participate in rotational on‑call support, acting as Lead escalation for:
• Production incidents and service degradation
• AKS, Azure infrastructure, and CI/CD failures
• Drive incident triage, RCA, and post‑incident reviews, feeding outcomes into:
• Platform improvements
• Automation and AIOps use cases
• SOPs and runbooks
• Progressively automate BAU operations using Python, APIs, and CI/CD workflows.
• Partner with L1/L2 teams to shift left via automation and AIOps.

• Required Skills & Experience

• Deep expertise in Microsoft Azure (compute, networking, identity, governance).
• Strong hands‑on experience with Terraform at enterprise scale.
• Advanced experience with Azure DevOps CI/CD and YAML pipelines.
• Strong experience with AKS / Kubernetes.
• Strong Python proficiency for automation and integrations.
• Strong experience with REST APIs, webhooks, and event‑driven architectures.
• Proven leadership in platform engineering, DevOps, or CloudOps.
• Practical experience or strong exposure to AIOps and observability.

• Nice to Have: FastAPI/Flask, Helm, GitOps, policy‑as‑code, FinOps.

• Qualifications

• Bachelor’s degree or equivalent experience.
• 8–12+ years in Azure infrastructure, DevOps, or platform engineering.
• Prior experience in a Lead technical role owning platforms or automation.

• What Success Looks Like

• A highly automated, API‑driven Azure platform.
• Seamless integrations across Azure, DevOps, observability, and ITSM.
• Reduced incident noise and faster resolution through AIOps and automation.
• Strong engineering standards, platform adoption, and operational maturity.
• Reduced on‑call load over time through automation and AIOps. load over time through automation and AIOps.

Role Summary

We are seeking an Azure Infrastructure Engineer to lead Azure Platform Engineering, AIOps enablement, and enterprise‑grade API integrations.

This is a hands‑on, senior technical role responsible for building and operating a scalable Internal Developer Platform (IDP) that enables deep automation, observability, and AI‑driven operations through Python‑based services and API‑first integrations across Azure, DevOps, monitoring, and ITSM ecosystems.

Key Responsibilities

Platform Engineering & Leadership

• Own the Azure platform architecture, roadmap, and engineering standards.
• Define golden paths, reusable platform services, and self‑service capabilities.
• Act as the technical authority and escalation point for platform and CloudOps integrations.

Azure Infrastructure & Infrastructure‑as‑Code

• Architect and govern enterprise‑scale Azure infrastructure using Terraform (IaC‑first).
• Ensure consistent implementation of landing zones, networking, identity, and governance.
• Review Terraform modules for security, scalability, and operational readiness.

CI/CD, Automation & Python Engineering

• Define and lead Azure DevOps CI/CD standards using YAML pipelines.
• Build Python‑based automation, including:
• Orchestration and workflow engines
• Platform utilities, health checks, and guardrails
• Alert‑ and event‑driven remediation
• Integrate automation into CI/CD and operational workflows.

API Integration & Platform Connectivity (Core Focus)

• Serve as the API Integration Specialist, owning integrations across:
• Azure services (ARM, Azure Monitor, Log Analytics, AKS, Key Vault)
• Azure DevOps (pipelines, repos, artifacts, boards)
• Observability platforms (Grafana, Prometheus, Loki, Azure Monitor)
• ITSM / Operations tools (ServiceNow, incident and ticketing systems)
• Design API‑driven workflows using Python (REST, webhooks, event‑driven).
• Standardize authentication, authorization, and secrets management.
• Ensure integrations are secure, resilient, observable, and automation‑ready.

Kubernetes & Cloud‑Native Platforms

• Provide technical leadership for AKS platform architecture and operations.
• Define standards for networking, security, scaling, and lifecycle management.
• Guide teams on Helm‑based deployments and cloud‑native patterns.

AIOps & Observability

• Own the AIOps strategy for Azure CloudOps, including:
• Alert correlation and noise reduction
• Anomaly detection and predictive insights
• API‑driven and Python‑based automated remediation
• Standardize observability data for AIOps consumption.
• Continuously improve MTTR, availability, and operational efficiency.

Cross‑Team Leadership

• Mentor and lead platform and Azure infrastructure engineers.
• Partner with Security, FinOps, SRE, and CloudOps teams.
• Produce SOPs, runbooks, and API contracts suitable for L1/L2 and AIOps automation.

Business‑as‑Usual (BAU) & Rotational Support

• Own BAU platform and CloudOps operations, ensuring stability and reliability.
• Participate in rotational on‑call support, acting as Lead escalation for:
• Production incidents and service degradation
• AKS, Azure infrastructure, and CI/CD failures
• Drive incident triage, RCA, and post‑incident reviews, feeding outcomes into:
• Platform improvements
• Automation and AIOps use cases
• SOPs and runbooks
• Progressively automate BAU operations using Python, APIs, and CI/CD workflows.
• Partner with L1/L2 teams to shift left via automation and AIOps.

Required Skills & Experience

• Deep expertise in Microsoft Azure (compute, networking, identity, governance).
• Strong hands‑on experience with Terraform at enterprise scale.
• Advanced experience with Azure DevOps CI/CD and YAML pipelines.
• Strong experience with AKS / Kubernetes.
• Strong Python proficiency for automation and integrations.
• Strong experience with REST APIs, webhooks, and event‑driven architectures.
• Proven leadership in platform engineering, DevOps, or CloudOps.
• Practical experience or strong exposure to AIOps and observability.

Nice to Have: FastAPI/Flask, Helm, GitOps, policy‑as‑code, FinOps.

Qualifications

• Bachelor’s degree or equivalent experience.
• 8–12+ years in Azure infrastructure, DevOps, or platform engineering.
• Prior experience in a Lead technical role owning platforms or automation.

What Success Looks Like

• A highly automated, API‑driven Azure platform.
• Seamless integrations across Azure, DevOps, observability, and ITSM.
• Reduced incident noise and faster resolution through AIOps and automation.
• Strong engineering standards, platform adoption, and operational maturity.
• Reduced on‑call load over time through automation and AIOps.