You'll independently navigate difficult architecture decisions, guide senior technical contributors, resolve critical implementation challenges, and influence product improvements through insights gained from customer environments.
Your success will be measured through production outcomes, customer confidence, engineering quality, and the broader impact of the solutions and standards you establish.
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.
About Nasuni
Nasuni is the unstructured data foundation for enterprise teams—and the AI that supports them. We manage, protect, and activate the world's unstructured data so organizations can work smarter, spend wisely, and create safely without limits.
As a Vista Equity Partners-backed SaaS data infrastructure company, Nasuni is transforming how enterprises manage file data with a next-generation, AI-ready platform.
Our cloud-native technology combines enterprise file services, protection, and data intelligence, enabling organizations to unify information, strengthen security, simplify infrastructure, and activate trusted data for AI.
With DryvIQ's content intelligence and governance capabilities, we're expanding how enterprises discover, classify, protect, and manage information across complex environments.
Why Work at Nasuni
Join a global team working at the intersection of cloud infrastructure, software engineering, enterprise data governance, and AI readiness.
You'll have the opportunity to solve meaningful technical challenges for enterprise customers, influence how complex implementations are delivered, and build solutions that improve outcomes beyond individual engagements.
Our Hyderabad Innovation Center connects talented engineers with global Product, Engineering, and Customer Experience teams. Through Vista Equity Partners' software ecosystem, Nasuni employees can benefit from cross-company learning, professional development, and opportunities to explore AI-driven innovation.
We value collaboration, accountability, technical curiosity, and continuous improvement. At Nasuni, your work can directly contribute to making enterprise data more accessible, secure, and useful for teams and the AI that supports them.
This privacy notice relates to information collected (whether online or offline) by Nasuni Corporation and our corporate affiliates (collectively, “Nasuni”) from or about you in your capacity as a Nasuni employee, independent contractor/service provider or as an applicant for an employment or contractor relationship with Nasuni.
