Software Defined Storage Automation Engineer: A Crucial Role in the Future of Data Management
The world of data is evolving rapidly, with the rise of cloud computing and Software Defined Storage (SDS) platforms transforming how information is managed and accessed. This dynamic environment demands skilled professionals who can not only understand these technologies but also drive their adoption through automation and innovation.
This article explores the pivotal role of a Software Defined Storage Automation Engineer and the key skills and qualifications needed to excel in this field.
Responsibilities:
This role encompasses a wide range of critical tasks, including:
- Automation Excellence: Develop automated test scripts using Python for SDS platforms, ensuring robust testing and high-quality deliverables. This requires a deep understanding of Python frameworks like Logger, Django, and Swordfish alongside proficiency in JSON, REST API calls, and CSV file processing.
- Agile Methodology: Be a team player within an agile environment, contributing to story planning and documentation. Collaboration, communication, and adaptability are essential for navigating the iterative nature of agile project management.
- Technical Documentation: Create comprehensive implementation guides, user manuals, and other technical documentation to support the project and user understanding.
- Troubleshooting and Problem Solving: Assist cross-functional teams in identifying and resolving complex technical challenges related to the SDS platform.
- Reporting and Communication: Provide clear and concise status reports to stakeholders and scrum masters, ensuring transparency and efficient project management.
- Reusable Modules: Design and deliver reusable development modules, adhering to project requirements and fostering a culture of code reusability and efficiency.
- Exceptional Documentation: Produce high-quality documentation, including test procedures, workflows, diagrams, and customer-facing white papers, ensuring clear communication and comprehension.
- Leadership Engagement: Effectively communicate project status and progress to senior leadership, demonstrating strong communication and presentation skills.
- Issue Management: Proactively manage and track project-related issues, ensuring timely resolution and proactive problem avoidance.
Skillset:
This role requires a blend of technical expertise and soft skills:
- Technical Skills:
- Python Proficiency: Minimum of 2-3 years of hands-on experience with Python scripting on Linux platforms.
- Python Frameworks: Solid understanding of frameworks like Logger, Django, Swordfish.
- Data Handling: Expertise in JSON, REST API calls, and CSV file processing.
- Version Control: Experience with Git/SVN.
- Linux Proficiency: In-depth working knowledge of Linux Operating Systems.
- Database Handling: Basic knowledge of database operations.
- Soft Skills:
- Collaboration and Teamwork: Ability to work effectively in a collaborative environment.
- Problem-Solving: Strong analytical and problem-solving abilities.
- Communication: Excellent written and oral communication skills.
- Adaptability: Embrace new technologies and adapt to evolving project requirements.
- Independent Work: Ability to work independently and manage day-to-day tasks with minimal oversight.
Desirable Skills:
- Storage Expertise: Familiarity with enterprise storage products from major vendors like Hitachi, IBM, HPE, Dell EMC, and NetApp.
- Networking Knowledge: Basic understanding of networking protocols like TCP/IP, SFTP, SSH, FTP.
- QA and Interoperability: Experience with QA methodologies and storage interoperability testing.
- Presentation Skills: Ability to deliver technical presentations effectively to internal and external stakeholders.
Qualifications:
- Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience.
- 2-3 years of total work experience, preferably in the storage domain
- Excellent written and oral communication, and presentation skills.
Reqruiter details-
JOB TYPE: Permanent Job
INDUSTRY: IT/Computers – Software
FUNCTION: IT
ROLES: Software Engineer/Programmer
SKILLS: DEVOPS PYTHON
Company: Xoriant Corporation
Conclusion:
The Software Defined Storage Automation Engineer is a crucial role in the rapidly evolving landscape of data management. This individual combines strong technical skills in automation, Python programming, and storage technologies with excellent communication, teamwork, and problem-solving abilities. This unique combination is essential to drive the successful adoption of SDS platforms and ensure their seamless integration into modern IT infrastructure.
