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Salary
$148k – $188k per year
Location
In office (Pune)
Seniority
Senior · 15+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Sep 29, 2026. DDN scores A on the Alion truth index.

Overview
Company
Impact
Profile match

DDN

DDN (DataDirect Networks) is a data storage company headquartered in Chatsworth, California that builds high-performance storage systems and a data intelligence platform for AI factories, cloud providers and supercomputing. Formed in 1998 through the merger of MegaDrive and ImpactData by co-founders Alex Bouzari and Paul Bloch, it has systems in 48 of the world's top 100 supercomputers and took a $300 million investment from Blackstone at a $5 billion valuation. It hires Rust, Go and Lustre software engineers, DevOps and build engineers, solutions architects, support engineers, manufacturing test technicians, and sales, tax and legal staff.

Key Responsibilities

Organizational & People Leadership

  • Own the leadership, structure, and outcome of multiple engineering teams delivering Infinia S3, POSIX, and NFS offerings, with teams located in India and internationally.

  • Build and scale an agile, high-performing engineering organization: strong technical bar, high accountability, and a culture where teams take genuine ownership of what they ship.

  • Recruit, develop, and retain strong engineering managers and engineers; build a durable leadership bench across all sites.

  • Set clear expectations, give direct feedback, and run rigorous, fair performance and career development processes for the org.

  • Foster a collaborative, inclusive culture across a geographically distributed team, ensuring engineers everywhere feel equally informed, included, and empowered.

  • Champion developer experience across the organization: streamlined onboarding, clear documentation, and low-friction tooling, so engineers at every site can ramp quickly and stay productive.

End-to-End Execution & Delivery Ownership

  • Own execution end to end for the S3, POSIX, and NFS offerings, from planning and prioritization through delivery, quality, and production readiness.

  • Define and continuously improve the engineering processes, release practices, and quality gates that let distributed teams ship enterprise-grade software predictably.

  • Track delivery against commitments; proactively surface risks, trade-offs, and blockers to stakeholders and drive them to resolution.

  • Ensure consistent engineering standards and practices across all teams and locations, so quality and velocity don't vary by geography.

  • Drive adoption of modern engineering practices and AI-assisted development tools as a standard part of how the organization works.

  • Continuously invest in engineering productivity: build systems, CI/CD pipelines, and internal tooling, to reduce cycle time and maximize the org's shipping velocity.

Technical Leadership

  • Bring a strong technical grounding in data platforms and storage systems to engage credibly in architecture, design, and technical trade-off discussions.

  • Partner with architects and senior engineers to ensure technical decisions support scalability, reliability, and performance at enterprise scale.

  • Balance short-term delivery pressure against long-term technical health, ensuring the teams invest appropriately in maintainability and technical debt.

  • Embed quality as a first-class engineering discipline: testing, observability, and reliability practices built into the development lifecycle rather than bolted on at the end.

Cross-Timezone & Cross-Functional Collaboration

  • Work effectively across multiple time zones, with particular emphasis on close, sustained collaboration with executive stakeholders based in the US.

  • Represent the S3, POSIX, and NFS organization in planning and leadership forums; communicate status, priorities, and trade-offs clearly to both technical and executive audiences.

  • Partner closely with Product Management, Architecture, QA, and Solutions teams to align roadmaps and priorities with customer and business needs.

  • Coordinate dependencies with peer engineering leaders across DDN's broader platform to keep cross-team initiatives on track.

  • Keep customer experience front and center in engineering decisions, partnering with Support and Solutions to ensure the S3, POSIX, and NFS offerings meet real-world reliability, performance, and usability expectations.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

  • 15+ years of professional software engineering experience, including substantial work on data platforms, storage systems, or distributed infrastructure at enterprise scale.

  • 8+ years of experience leading engineering managers and multi-team organizations, including teams distributed across multiple countries or regions.

  • Demonstrated experience building agile, effective engineering teams and organizations from the ground up or through significant scaling.

  • Proven ownership of end-to-end execution for complex software offerings, from planning through production delivery and support.

  • Strong technical background in storage and data platforms, sufficient to engage meaningfully in architecture and design discussions and earn the credibility of senior engineers.

  • Track record of working effectively across time zones and geographies, with proven success partnering closely with US-based executive stakeholders.

  • Excellent written and verbal communication skills; able to translate technical detail into clear guidance for executive audiences.

Preferred Skills

  • Direct experience with storage protocol engineering.

  • Prior experience leading engineering organizations that span both India-based and international sites.

  • Experience standing up or scaling an engineering site or hub in India for a global organization.

  • Familiarity with enterprise on-premises software release cycles, including release management, customer validation, and GA processes.

  • Experience driving the adoption of AI-assisted development tools and modern engineering workflows across a large organization.

  • Track record of instilling engineering best practices: code review standards, test automation, and CI/CD discipline, across distributed teams.

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