AWS/Azure Cloud Engineer

This role is within the technology industry, focusing on IT infrastructure and operations. The position involves working with cloud platforms and modern data architectures, supporting software engineering and enterprise platform engineering use cases.

• Strong AWS experience across compute, storage, networking, security, serverless, monitoring, and data services.
• Working knowledge of Azure services such as Azure Functions, Event Grid, Service Bus, Data Lake Storage, Azure Monitor, Key Vault, Azure DevOps, GitHub integration, Synapse, Fabric, or equivalent services.
• Hands-on experience with Terraform, GitHub Actions, GitHub Apps, CI/CD design, GitOps practices, and automation frameworks.
• Experience with containerization and orchestration using Docker, Kubernetes, EKS, AKS, or similar platforms.
• Understanding of data lake/lakehouse architecture using Amazon S3 or Azure Data Lake Storage, AWS Glue Data Catalog, Apache Iceberg, Spark, EMR Serverless, Databricks, Synapse, or Fabric.
• Experience with databases and serving platforms such as PostgreSQL, OpenSearch, Neo4j, SQL engines, and analytics/reporting integrations.
• Strong understanding of event-driven architecture, queues, topics, event buses, workflow orchestration, APIs, and distributed system integration.
• Good understanding of cloud networking, DNS, certificates, private connectivity, logging, monitoring, and operational resilience.

Nice to have:

• AWS Solutions Architect, AWS DevOps Engineer, Azure Solutions Architect, Azure DevOps Engineer, or equivalent certifications.
• Experience in enterprise software engineering, automotive, embedded software, regulated environments, or large-scale engineering platforms.
• Experience with software engineering metrics, observability, data governance, security compliance, and reusable platform capabilities.

• Design, build, and operate secure, scalable cloud infrastructure across AWS and Azure.
• Develop and maintain DevSecOps automation, CI/CD workflows, reusable pipelines, infrastructure-as-code, and platform engineering services.
• Support data platform engineering across ingestion, transformation, governance, cataloging, quality, and serving layers.
• Build event-driven and serverless workflows using AWS Lambda, SQS, EventBridge, Step Functions, CloudWatch, and equivalent Azure services.
• Implement lakehouse patterns such as Landing, Bronze, Silver, and Gold data layers using object storage, catalogs, and distributed processing.
• Implement cloud security controls including IAM/RBAC, secrets management, encryption, audit logging, vulnerability scanning, and policy-as-code.
• Create technical documentation, runbooks, architecture diagrams, operating procedures, and engineering standards.