Software Engineer-Devops/Azure

Key Skills

Java Programming, Design, Python Programming, SQL, DevOps, Azure, Data science techniques, Jenkins, Deep Learning, Kubernetes-K8s, Terraform, Ansible, Linux Operating system, PowerShell Programming, Large scale data processing, Data Architecture

Job Description

• Work with product teams to shape the architecture, design, and implementations of new and existing systems to enhance their reliability, performance, efficiency, and scalability.
• Help product teams to develop and deploy on a cloud native environment
• Ensure all key services are measured, monitored and raising alerts when needed
• Develop automation of application deployment and configuration
• Develop reliability tools and frameworks for use by all engineers and products
• Coach and train developers on DevOps best practices
• Research, develop, configure and implement tools for continuous integration and continuous delivery
• Drive efficiencies in products and processes: capacity planning, configuration management, performance tuning, monitoring, backup/restore and root cause analysis.

You Have

• Grit, drive and a deep feeling of ownership.
• BS or MS in Computer Science or a related technical discipline. Equivalent practical experience is a reasonable substitute.
• Minimum 3+ years of experience on DevOps/SRE or equivalent
• Strong experience in Python
• Strong experience on bash scripting or PowerShell
• Experience with DevOps in Azure cloud.
• Experience with deployment and support of Azure services
• Experience in the Linux environment and a good understanding of its fundamentals and internals: filesystems and modern memory management, threads and processes, the user/kernel-space divide, etc.
• Understanding of Microservice based Architecture
• Ability to implement infrastructure as code. Preference is Terraform knowledge
• An understanding of application security and information security controls
• A good understanding of large-scale distributed systems in practice, including multi-tier architectures, application security, monitoring and storage systems.
• Working knowledge of Kubernetes, Terraform, Ansible, Azure DevOps , Jenkins (or other similar toolset)
• Data Science platform/tools experience, plus monitoring and logging platforms, will be an advantage