What you'll do
Lead technical design and evolution of scalable content-intelligence, metadata, classification, and governance services.
Architect and build distributed production services using C# and .NET.
Define scalable data models, access patterns, and storage strategies using PostgreSQL, ClickHouse, and other appropriate technologies.
Make architectural decisions involving performance, concurrency, resiliency, consistency, scalability, observability, and operational complexity.
Design and evolve containerized services running in Linux and Kubernetes environments.
Lead technically complex integration between DryvIQ capabilities and the broader Nasuni platform.
Identify systemic performance and reliability bottlenecks and lead engineering solutions rather than treating symptoms.
Establish engineering patterns and technical standards that improve maintainability, testability, observability, and developer productivity.
Provide technical guidance and design feedback to senior and developing engineers without relying on formal reporting authority.
Contribute directly to critical implementation, prototypes, code reviews, debugging, and production problem solving.
Partner with Product and Engineering leadership to translate product strategy into practical technical architecture and sequencing.
Contribute across product boundaries, including React-based experiences where appropriate.
Apply AI-assisted engineering workflows to architecture exploration, coding, testing, debugging, and analysis while maintaining rigorous validation, security, and engineering judgment.
Expected outcomes and impact
Qualifications
Must-have
Significant software engineering experience building and evolving complex production systems, typically gained over 10+ years.
Deep production expertise with C# and .NET.
Demonstrated architecture ownership across multiple backend services, subsystems, or major technical initiatives.
Strong distributed-systems fundamentals including concurrency, resiliency, consistency, APIs, asynchronous processing, and failure handling.
Deep database engineering experience including schema/data modeling, indexing, query optimization, storage tradeoffs, and performance analysis.
Strong Linux and production Kubernetes/container experience.
Demonstrated experience solving significant scalability, performance, or reliability problems.
Experience leading technical direction and influencing experienced engineers without formal management authority.
Preferred
Production PostgreSQL experience.
ClickHouse or comparable analytical/columnar database experience.
Experience architecting large-scale metadata, indexing, search, or data-processing platforms.
Experience with React and modern TypeScript/JavaScript.
Cloud-native SaaS and high-throughput distributed-system experience.
Strong observability, CI/CD, automated testing, and production-operability experience.
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-backed SaaS data infrastructure company, Nasuni is transforming how enterprises manage file data with a next-generation, AI-ready platform—turning massive file stores into secure, actionable, and AI-ready data for intelligent automation, analytics, and global collaboration.
Why work at Nasuni — Hyderabad
With Vista Equity Partners' backing, our Hyderabad team benefits from access to a global ecosystem of software leaders, cross-portfolio learning, leadership programs, and AI innovation communities—combining the pace of a growing software company with the scale and resources of a global technology investor.
You'll innovate at the intersection of cloud, AI, and enterprise data infrastructure, collaborate with talented teams globally, and help shape modern platforms trusted by enterprises worldwide. Join us in Hyderabad and help shape the future of intelligent, AI-ready data management.
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