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The Lead Consultant role requires 12 to 18 years of experience in software development, focusing on innovative backup and restore systems. Candidates should have strong skills in Python, cloud-native services, and a proactive approach to engineering challenges. The position emphasizes quality, scalability, and effective communication with stakeholders. Familiarity with tools like JIRA and GitHub is essential, along with a solid understanding of Linux systems.
Job Responsibility:
Spearhead the design and implementation of innovative backup and restore features using hyperscaler-native functionalities
Drive end-to-end software development with a DevOps mindset, covering planning, implementation, testing, deployment, and monitoring
Ensure features are built with a strong emphasis on quality, scalability, reliability, and operational excellence
Tackle complex engineering challenges with a proactive and hands-on approach
Work effectively with multiple stakeholders, ensuring alignment on technical solutions and project goals
Contribute to the evolution of backup and restore services, positioning the organization as a technological leader in the industry
Requirements:
7 - 10years of experience and strong skills in Python and scripting (eg. Bash)
Strong data structures, design, algorithms, coding skills, analytical and problem solving skills
Experience with Cloud native services is must
Experience in development of solution using public cloud APIs is must
Experience working on Linux platform
Familiarity in storage, filesystems, object storage is a huge plus
Knowledge in anyone of the databases like HANA, Sybase ASE, MAXDB, DB2 and MSSQL are plus
Ability to drive tasks to completion and take ownership of projects
Ability to work in a fast paced and agile development environment
Comfortable in using tools - JIRA, Github
12 to 18 years of experience in software development with proficiency in object-oriented programming, data structures, algorithms, and Python (or other languages with a willingness to adopt Python)
Skilled in identifying and addressing code smells and applying design patterns for maintainable code
Experience in implementing unit testing, automated tests to ensure high-quality deliverables
Demonstrated expertise in designing reliable, scalable products with robust observability practices
Skilled in adopting API-first approach considering reliability, scalability