The ideal candidate will be responsible for working cross-functionally to understand the architecture needs of multiple IT units. To be effective in this position, you must feel comfortable owning the entire solution architecture development process from inception to completion.
[Job Description]
- Design, build, and maintain cloud systems on Azure and Hadoop using all available services.
- Build solutions that provide availability, performance, and stability in our systems, services, and products on scale.
- Work in conjunction with our demand teams and business users to understand functionality, scalability, performance, security, and integration requirements.
- Propose architecture using native Azure/ Hadoop services, automation, and serverless technology in a complex multi-tenant environment.
- Define migration solutions for existing on-prem hosted software development processes (CI/CD landscapes).
- Understand the information security requirements and drive adherence for cloud workloads
- Develop and maintain documentation for built Azure/ Hadoop systems and procedures.
- Embrace a culture of continuous service improvement and service excellence.
- Stay current on cloud industry trends.
[Requirements]
- Overall 8+ years experience in Cloud Technologies and recent 5 years particularly in Hadoop (mandatory) & Azure (mandatory).
- Bachelor's degree in computer science or related field, or equivalent experience.
- Experience with the implementation of cloud solutions in an enterprise environment.
- Strong knowledge of technology and cloud topics, including network and application. security, infrastructure hardening, security baselines, web server, and database security.
- Knowledge of Azure & Google security strategies and tools.
- Ability to communicate clearly and effectively on status, progress, and risks.
- Azure/Hadoop solution architect certification, along with other security certifications, is a plus.
- Knowledge of software development processes on a scale is a plus.
- The candidate will apply their experience building reliable, scalable, secure data-driven process automation for smart manufacturing.
