Engineering Manager

Posted 4 Days Ago
Be an Early Applicant
Hiring Remotely in California, USA
Remote or Hybrid
225K-250K Annually
Entry level
Artificial Intelligence • Machine Learning • Software • Analytics
The Role
Leads distributed engineering and quality teams developing cloud-based S3, NAS, and managed Lustre storage services. Owns technical direction, architecture, delivery planning, release quality, reliability, incident response, automation, customer escalations, and operational excellence. Partners with Product, Support, Sales Engineering, Cloud Operations, and executive stakeholders to deliver scalable, reliable storage solutions for enterprise and AI/HPC customers.
Summary Generated by Built In

Role Summary:

Lead engineering execution and technical direction for DDN EXAScaler data services spanning S3 object access, NAS services, and managed Lustre offerings in public cloud environments. The role blends storage systems leadership, cloud service delivery, product quality, operational excellence, and customer escalation ownership for business-critical enterprise and AI/HPC deployments.

Key Responsibilities:

Engineering Leadership

• Lead geographically distributed engineering and quality teams across the US, India, and other locations as needed.

• Own delivery planning, execution discipline, engineering metrics, and predictable release outcomes.

• Coach senior engineers and technical leads; support hiring, onboarding, performance development, and succession planning.

• Establish a high-ownership culture focused on technical depth, accountability, quality, and customer impact.

Technical & Product Execution

• Drive architecture and execution for S3DS, NSDS, and managed Lustre service capabilities within the EXAScaler portfolio.

• Partner with Product Management to translate roadmap priorities into engineering plans, acceptance criteria, and measurable deliverables.

• Guide design decisions across distributed storage, metadata, protocol services, API layers, availability, scalability, and serviceability.

• Balance new feature development with maintainability, performance, reliability, and lifecycle management.

Cloud Operations, Reliability & Supportability

• Build production-ready engineering practices for managed storage services, including release readiness, observability, runbooks, and change controls.

• Lead incident response, L3 investigations, root-cause analysis, corrective actions, and continuous operational improvement.

• Drive automation for diagnostics, telemetry, deployment validation, and service health reporting.

• Partner with Support, Customer Success, Field Engineering, and Cloud Operations to improve customer experience and reduce escalation load.

Cross-functional & Customer Leadership

• Represent engineering in customer escalations, executive reviews, account recovery plans, roadmap discussions, and technical deep dives.

• Communicate risks, trade-offs, mitigation plans, and delivery status clearly to senior stakeholders.

• Build strong collaboration across Product, Support, Sales Engineering, Programme Management, Operations, and executive leadership.

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The Company
HQ: Chatsworth, CA
706 Employees
Year Founded: 1998

What We Do

DDN is the world’s largest private data storage company and the leading provider of intelligent technology and infrastructure solutions for Enterprise At Scale, AI and analytics, HPC, government and academia customers. Through its DDN and Tintri divisions, the company delivers AI, Data Management software and hardware solutions, and unified analytics frameworks to solve complex business challenges for data-intensive, global organizations. DDN provides its enterprise customers with the most flexible, efficient and reliable data storage solutions for on-premises and multi-cloud environments at any scale. Over the last two decades, DDN has established itself as the data management provider of choice for over 11,000 enterprises, government, and public-sector customers, including many of the world’s leading financial services firms, life science organizations, manufacturing and energy companies, research facilities, and web and cloud service providers.

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