This is a software engineering role with real site reliability ownership: you write the code and the infrastructure, ship it through your own pipelines, and keep it healthy in production. Design, develop, deploy, and operate scalable cloud based data, analytics, automation, and tooling solutions on modern Azure data platforms, owning each one end to end through design, implementation, and operations. Build, manage, and maintain Azure infrastructure across environments, covering compute, networking, storage, identity, certificates, and service dependencies, and adapt engineering practices to security and compliance constrained environments. Define infrastructure as code with ARM, Bicep, or Terraform, and build, maintain, and troubleshoot YAML based Azure DevOps build and release pipelines with automated test gates, security scanning, and safe deployment with rollback. Drive engineering excellence and service reliability through design, testing, observability, and deep diagnostics using logs, metrics, telemetry, and Kusto (KQL). Instrument what you build with monitoring, logging, alerting, and insightful dashboards so issues are caught proactively, and use telemetry and usage analytics to understand customer behavior and inform product decisions. Support live site operations, including on call, incident triage, root cause analysis, and driving issues to resolution, then automate the toil that causes repeat incidents. Engineer for cost as well as reliability, using rightsizing, scheduling, and automated detection of idle or oversized Azure resources.



Integrate AI capabilities such as Azure OpenAI and Copilot tooling to make engineering and operations workflows faster and more intelligent. Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 2+ years of professional software engineering experience shipping and supporting production systems. Knowledge of Azure fundamentals across compute, storage, identity, and networking. C# and .NET Core: Backend services, Azure Functions, and internal APIs. Python: Automation, operational tooling, and light data work in Functions or notebooks. PowerShell and Bash: Azure resource automation, remediation runbooks, and Linux host operations. KQL: Log Analytics, Application Insights, and Azure Data Explorer queries for telemetry and cost analysis. T-SQL:



Querying and shaping operational and cost data from Azure SQL or Fabric. YAML and JSON: Pipeline definitions, ARM/Bicep templates, and API payloads. Azure infrastructure as code: Bicep, ARM, or Terraform, including parameterized environments, reusable modules, and Azure Policy guardrails. Azure DevOps and CI/CD engineering: Multi-stage YAML pipelines, templates, environments and approvals, and artifact or container image promotion. Observability, telemetry, and SRE: Azure Monitor dashboards and workbooks, actionable alerting, service-level objectives, monitoring, on-call support, and incident response. Azure platform and identity: App Service, Azure Functions, AKS, Azure SQL, Storage/Data Lake Gen2, Key Vault, Entra ID, managed identities, and role-based access control. Networking fundamentals: Virtual networks, subnets, private endpoints, network security groups, and DNS. Business fluency in English, including reading, writing, and speaking. Azure certification, such as Administrator Associate, DevOps Engineer, or Solutions Architect. Experience with containers and orchestration, including Docker image authoring, Azure Container Registry, Kubernetes deployments, and Helm. Experience with cloud cost optimization or FinOps practices, including rightsizing, reservations, and spend reporting. Familiarity with AI/ML tooling, such as Azure OpenAI, Azure Machine Learning, or agent-based automation. Familiarity with Power BI and DAX, including the ability to read, validate, and extend spend and reliability reporting. Curiosity, a collaborative mindset, and an interest in solving real-world customer problems.

📌 Software Engineer II - Finance Data & Experiences (México)
🏢 Microsoft
📍 México