Senior Forward Deployed Engineer

Senior Forward Deployed Engineer (DryvIQ)

Location

Hyderabad, India | Remote

Hours

US Eastern Time Hours: 9am-5pm ET (7:30pm IST - 3:30am IST)

Department

Customer Experience / Professional Services

Role Overview

Be the engineer customers trust to turn their hardest AI and data challenges into production solutions.

As a Senior Forward Deployed Engineer at DryvIQ (part of Nasuni), you’ll lead the customer conversations and write the C#/.NET code that makes it real, from discovery workshop to Kubernetes deployment. You’ll own the outcome end to end, with the credibility to guide customers toward the right answer, not just the easy yes.

Enterprises cannot make confident use of AI when essential content is scattered across repositories, poorly classified, or difficult to govern. DryvIQ, part of Nasuni, helps organizations discover, classify, govern, and manage enterprise information across more than 40 cloud and on-premises repositories and 550+ file formats.

We are looking for a Forward Deployed Engineer who combines strong C#/.NET engineering with practical customer consulting. You will translate complex business challenges into deployed, supportable solutions that improve content intelligence, information governance, and AI readiness.

This is a hands-on engineering and customer-delivery role, not a pre-sales-only or purely advisory position.

Your Scope and Impact

Own the technical delivery of assigned complex enterprise customer engagements, from requirements discovery through production validation and handoff. Make customer-specific design decisions within supported platform capabilities and established engineering standards.

Partner with customer stakeholders and Nasuni's Professional Services, Project Management, Customer Success, Product, and Engineering teams.

What You'll Do

Lead customer discovery workshops; turn operational needs, security constraints, and business objectives into solution designs and acceptance criteria.

Configure and deploy DryvIQ capabilities for content discovery, classification, lifecycle management, governance, migration, and policy-driven automation where relevant to the engagement.

Build, test, and troubleshoot C#/.NET integrations, Kubernetes (K8s), REST API connections, scripts, and supported custom workflows.

Decide when standard configuration meets the need and when approved customization or product escalation is appropriate.

Provide technical effort estimates, assumptions, dependencies, and implementation risks to support services scoping and statements of work.

Validate classification results using representative samples, false-positive and false-negative analysis, precision/recall, and business-owner feedback.

Diagnose operational issues across connectors, authentication, permissions, long-running jobs, and environments; verify production readiness.

Follow code review, security, QA, release, documentation, and customer handoff practices; turn recurring solutions into reusable patterns.

Use approved AI-assisted tools for development, testing, and analysis while validating outputs for correctness, security, and maintainability.

Expected Outcomes and Impact

Deliver customer-approved solutions that meet documented acceptance criteria, operate reliably, protect sensitive content, and can be supported after handoff. Help shorten time to customer value and improve delivery repeatability.

What You'll Bring

Must-Have Qualifications

Hands-on professional C#/.NET engineering, (.NET 8 or above), REST API development or integration, and production troubleshooting.

Demonstrated ownership of enterprise software implementation or customization, including requirements, development, testing and deployment.

Strong Linux and Docker experience.

Ability to explain technical tradeoffs to customer IT and business stakeholders, manage risks, and coordinate delivery across teams.

Strong technical documentation, problem-solving, secure engineering judgment, and customer communication.

Preferred Qualifications

Kubernetes (K8s)

PowerShell or Python automation.

Microsoft 365, SharePoint, OneDrive, Purview, or enterprise content repositories.

Content classification, information governance, enterprise content management, or migration.

Cloud or hybrid deployments and large-scale file processing.

AI-assisted coding, testing, or debugging with appropriate output validation.

Ideal Candidate Differentiators

Experience balancing configuration and custom engineering across multiple customer engagements.

Measurable improvements to classification quality, solution reliability, or customer adoption.

Reusable integration assets, deployment patterns, or responsible AI-enabled workflows.

Experience Guidelines

Part engineer, part trusted customer advisor, fully accountable for customer outcomes.

Join Nasuni’s Hyderabad Innovation Center as a Senior Forward Deployed Engineer, where you’ll take enterprise customers’ messy content and AI-readiness problems, design the solution, build it in .NET, deploy it on Kubernetes, and see it through to production. If you’re equally comfortable in a code editor and in front of a customer, this is your role.

Leading the customer discovery to deployment and implementation of DryvIQ Solutions. Typically 5–9 years of relevant software engineering or technical consulting experience or solution architecting, including meaningful hands-on customer-facing implementation work. Equivalent evidence of ownership and results is welcome; prior DryvIQ experience is not required.

Location and Working Model

Remote, preferred local to Hyderabad. Collaboration with global teams and US customer working sessions is required. Periodic customer-site travel to the United State is expected.

About Nasuni

Nasuni is the unstructured data foundation for enterprise teams and the AI that supports them. We manage, protect, and activate unstructured data so organizations can work smarter, spend wisely, and create safely without limits.

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