Platform Engineer
Platform Engineer
Walking TreeThis job is no longer accepting applications
Job Description
- Design and implement cloud infrastructure using Azure Resource Manager (ARM) templates and Terraform.
- Architect and manage distributed applications using Azure services like Event Hub, Data Factory, ADLS Gen2, Cosmos DB, Synapse, Databricks, APIM, Function App, Logic App, and App Services.
- Build and manage containerized workloads with Docker and Azure Kubernetes Service (AKS).
- Monitor, troubleshoot, and optimize systems using Azure Monitor, Log Analytics, and Application Insights.
- Define and implement disaster recovery, backup strategies, and failover mechanisms for mission-critical systems.
- Automate infrastructure provisioning and scaling for high availability and operational efficiency.
- Manage Dev/Test/Pre-prod/Production environments and ensure smooth deployment pipelines using Azure DevOps and Jenkins.
- Design and maintain robust CI/CD pipelines for application deployment and integration.
- Troubleshoot and analyze failed jobs in Azure Data Factory and Databricks, providing root cause analysis and applying effective resolutions.
- Develop and maintain monitoring systems for job flows, applications, and infrastructure, including proactive alerting mechanisms.
- Collaborate with development teams to enhance application and workflow performance based on monitoring insights.
- Write scripts in Python and Shell for automation and process optimization.
- Maintain and monitor Azure VMs, focusing on performance metrics like memory, CPU, disk, and networking.
- Stay current with evolving technologies and apply agile methodologies to project delivery.
Required Skills & Qualifications:
- 36 years of hands-on experience working with Azure and cloud-native technologies.
- Proficiency in infrastructure as code (IaC) using Terraform and ARM templates.
- Strong knowledge of Azure Data Engineering services and distributed data pipelines.
- Experience in container orchestration with AKS.
- Expertise in CI/CD pipeline creation, deployment automation, and application lifecycle management.
- Advanced troubleshooting and performance tuning capabilities.
- Excellent communication, analytical thinking, and problem-solving skills.
- Understanding of agile principles and collaborative team environments.
More Info
Key Skills
About Company
Skills:
Terraform, Kubernetes, Python, topology-aware placement, Crossplane, gang scheduling, GPU sharing, Go, GPU scheduling, Mig, observability
Skills:
Database Management Systems, Cloud-based data platforms and services, Python Programming Language, APIs and integration tools, Data storage solutions, Designing and developing data pipelines and workflows, Optimizing data processing performance, Ensuring data quality
Skills:
Scala, Apache Spark, Kafka, Sql, Git, Gcp, Terraform, Databricks, Azure, Python, AWS, NoSQL databases, event-driven systems, data security principles, AI-assisted development tools, ML engineering, data governance frameworks
Skills:
Servicenow, Linux System Administration, Networking, Ibm Mq, Incident Management, Terraform, Replication, AWS, Azure DevOps, Root Cause Analysis, Multi-datacenter design, GitHub Actions, CI/CD pipelines, SSL certificate management, Amazon MQ
Skills:
Cuda, Gcp, Linux, Terraform, Azure, Kubernetes, Python, AWS, AI orchestration frameworks, Triton Inference Server, Infrastructure as Code, GitOps, GPU infrastructure, Go, NVIDIA GPUs, vector databases, Ray Serve, KServe