Cloud Infrastructure Engineer

Description :- 

Develop cloud services provisioning automation with integrated capabilities of IAM, network, security policies as code, and observability

Implement built-in resiliency, observability, and enable FinOps as a part of infrastructure automation to enable data PaaS services

Develop and maintain cloud services catalog for app developers and devops teams

Develop CI/CD pipelines to build the cloud data analytics platform

Collaborate with technical product management and operations, to deliver the engineering roadmap in Agile model

Partner with Information Security teams to engineer secure app patterns into Cloud platforms

Assist in translating business requirements into technical definitions, reference models, blueprints, and playbooks for deployment in compliance with architecture standards and policies

Assist technical Analysts and Infrastructure Engineers by ensuring that technology solutions comply with enterprise system design and engineering standards.

Promote an inclusive and healthy working environment and help to resolve organizational impediments/blockers¿

¿Significant experience writing Hashicorp Terraform configurations and modules.

Experience in DevOps models with infra-as-code, config-as-code, policy-as-code, etc.

Proficient in translating designs into fully developed Terraform code.

Strong knowledge of Microsoft Azure Cloud, certification preferred. AWS and GCP desirable.

Solid understanding of cloud networking concepts, subnets, routing, load balancing, firewalls, and cloud security.

Experience in enterprise-scale environments, building highly available IaaS and PaaS solutions

Understanding of landing zones, cloud-native security, monitoring and logging tools, and Well-Architected Framework principals.

Understanding of Azure data analytics technologies including Azure Data Factory, Azure Data Lake, Azure Databricks. Microsoft Purview and Power BI

Experience in programming and infra-automation tools - Terraform, Ansible, Java, python, etc.

Experience in Cloud logging, monitoring, and observability tools

Proficient in at least one scripting language (i.e. Bash, Python).

Strong analytical, problem solving and organizational skills

Excellent communication skills

Excellent collaboration skills and ability to work in a global team

Minimum of a 4-year degree in Computer Science or a related discipline

Minimum 3+ years of Cloud Automation Engineer working experience

Experience in financial services industry

Experience on technology and infrastructure teams

Experience in Linux/UNIX system administration

Experience in Azure data analytics technologies including Azure Data Factory, Azure Data Lake, Azure Databricks, Microsoft Purview and Power BI