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Job Description

Key Responsibilities :

- Lead, grow, and mentor cross-functional engineering teams, including second- and third-level managers.

- Build a culture of excellence, accountability, collaboration, and continuous improvement.

- Attract, develop, and retain top engineering talent.

- Define, evolve, and execute the technical roadmap for storage software products.

- Ensure the delivery of high-performance, scalable, and reliable storage solutions.

- Provide architectural guidance and make strategic technical decisions aligned with long-term product vision.

- Oversee multiple, complex engineering initiatives with high-quality standards and predictable outcomes.

- Drive Agile/Scrum-based development practices, ensuring efficient workflows, sprint execution, and backlog prioritization.

- Ensure seamless CI/CD, DevOps, and automation integration across engineering pipelines.

- Work closely with product management, architecture, quality engineering, and customer-facing teams.

- Align engineering priorities with business objectives and customer needs.

- Communicate project progress, risks, and strategy to executive leadership.

Requirements :

- 7+ years of technical management experience, with at least 2+ years in senior leadership roles managing managers.

- 10+ years of hands-on software development experience, preferably in C/C++ or similar system-level languages.

- Proven track record in designing and delivering storage systems, data infrastructure, distributed systems, or system software.

- Strong understanding of :

a. Storage architectures (block, file, object storage)

b. Data protection, replication, caching, deduplication, performance optimization

c. System software, OS internals, and hardware interactions

- Deep experience with CI/CD pipelines, DevOps tooling, and Agile methodologies.

- Excellent leadership, communication, decision-making, and problem-solving skills.

- Strong customer-first mindset with passion for building robust enterprise-grade products.

Preferred Qualifications :

- Experience scaling engineering organizations in high-growth product companies.

- Exposure to cloud storage technologies (AWS S3, Azure Blob, GCP Storage).

- Experience with Kubernetes, container storage interfaces (CSI), or distributed file systems.

- Masters degree in Computer Science, Engineering, or related field (preferred)


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