[Hiring] Principal Forward Deployed Engineer @Nasuni

Role Description

Be the engineer customers trust to solve their most complex enterprise data challenges—and build solutions that scale beyond a single deployment. As a Principal Forward Deployed Engineer at DryvIQ, part of Nasuni, you will provide hands-on technical leadership across complex enterprise customer implementations. You'll work directly with customers to understand their challenges, design scalable solutions, write production-quality C#/.NET code, and guide secure deployments through successful operation.

Enterprises need to discover, classify, protect, and govern growing volumes of unstructured content before they can confidently activate that information for AI. DryvIQ helps organizations manage these challenges across cloud and on-premises repositories.

We're looking for an experienced engineer who combines deep software development expertise with sound architectural judgment, customer consulting skills, and the ability to influence technical outcomes across multiple engagements. This is a hands-on engineering and customer-delivery role, not a pre-sales-only or purely advisory position.

Your Scope and Impact

• Establish technical direction for complex, high-impact customer solutions.
• Develop reusable engineering approaches that improve delivery across engagements.
• Independently navigate difficult architecture decisions.
• Guide senior technical contributors and resolve critical implementation challenges.
• Influence product improvements through insights gained from customer environments.
• Measure success through production outcomes, customer confidence, engineering quality, and broader impact of solutions and standards established.

What You'll Do

• Lead technical architecture and implementation across complex enterprise customer engagements, from discovery through validation, and production handoff.
• Facilitate customer workshops with IT, security, and business stakeholders; translate requirements into scalable solution designs, implementation plans, and acceptance criteria.
• Design, develop, test, and troubleshoot C#/.NET integrations, REST APIs, services, and supported workflows across Linux, Docker, and Kubernetes environments.
• Establish reusable integration, testing, security, and troubleshooting patterns that improve reliability and delivery consistency.
• Guide complex technical decisions involving supported configuration, customization, integrations, platform limitations, and long-term maintainability.
• Architect and optimize solutions for enterprise content discovery, classification, lifecycle management, governance, migration, and policy-driven automation.
• Lead resolution of critical issues involving connectors, authentication, permissions, distributed processing, performance, and environments.
• Establish validation approaches for content classification, including representative sampling, precision and recall, false-positive and false-negative analysis, and business-owner review.
• Partner with Professional Services, Project Management, Product, Engineering, and Customer Success to assess delivery risks, guide technical estimates, and identify product improvements.
• Mentor engineers, review complex designs and code, and share technical knowledge that raises delivery standards across teams.
• Develop and promote responsible AI-assisted workflows for engineering, testing, troubleshooting, and technical analysis, with appropriate security controls and human validation.

Expected Outcomes and Impact

• Successful, secure, and supportable production environments that meet agreed customer acceptance criteria.
• Reduced implementation complexity and faster resolution of recurring technical issues.
• Reusable engineering assets that improve delivery consistency and shorten time to customer value.
• Improved solution reliability, classification quality, and production readiness.
• Stronger alignment between customer implementation needs and Nasuni's product capabilities.

What You'll Bring

Must-Have Qualifications

• Deep hands-on C#/.NET engineering experience, including modern .NET (.NET 8 or later), REST API development, integration design, and production troubleshooting.
• Demonstrated technical ownership of complex enterprise software implementations, including architecture, coding, testing, and operational support.
• Production experience with Linux, Docker, and Kubernetes or comparable container orchestration environments.
• Ability to make and explain architectural tradeoffs involving scalability, security, performance, reliability, and maintainability.
• Experience resolving complex integration or production issues across multiple systems and stakeholders.
• Strong customer-facing technical communication, documentation, problem-solving, and collaborative leadership skills.

Preferred Qualifications

• Experience with enterprise content management, information governance, content classification, or large-scale data migration.
• Familiarity with Microsoft 365, SharePoint, OneDrive, Purview, or other enterprise content repositories.
• Experience with hybrid cloud architectures, distributed workloads, and large-scale file processing.
• PowerShell or Python automation experience.
• Practical use of AI-assisted engineering tools with clear methods for validating generated code, analysis, and recommendations.

Ideal Candidate Differentiators

• Has established reusable technical architectures or engineering standards across multiple customer implementations.
• Demonstrates measurable improvements in deployment reliability, customer outcomes, or implementation efficiency.
• Has influenced engineering or product priorities through recurring enterprise customer challenges.
• Builds the capabilities of other engineers while remaining an effective hands-on contributor.
• Has developed repeatable, responsibly governed AI-assisted engineering workflows.

Experience Guidelines

Typically 9–12 years of relevant software engineering, enterprise implementation, or technical consulting experience, including substantial hands-on customer-facing delivery and demonstrated technical leadership across complex engagements. Equivalent experience demonstrating comparable ownership, technical depth, and results is welcome. Prior DryvIQ experience is not required.

AI at Nasuni

AI is used to improve efficiency, decision-making, and engineering outcomes across Nasuni. In this position, you'll apply AI-assisted development, analysis, testing, and automation where they add value, while ensuring that outputs meet security, correctness, quality, and maintainability standards. We value engineers who use AI with context, sound judgment, validation, and accountability.

Location and Working Model

This position is remote within India, with a preference for candidates based near Hyderabad. Regular collaboration with global teams and US customers during US Eastern business hours is required. Local working hours vary with US daylight saving time. Periodic customer-site travel to the United States is expected.