Senior Software Engineer in Test — C#.NET Distributed Systems

Senior Software Engineer in Test — DryvIQ

Hyderabad, India | Hybrid — 3 days onsite

Role Overview

Nasuni is expanding the DryvIQ engineering team in Hyderabad. DryvIQ brings intelligent content discovery, classification, sensitivity detection, and policy-driven governance to enterprise unstructured data across cloud and on-premises repositories.

We are looking for a Senior Software Engineer in Test (SDET) to strengthen and scale automated quality across DryvIQ's complex, Kubernetes-based distributed application environment.

This is a hands-on senior engineering role with a primary focus on C#/.NET test automation. You will maintain, extend, and improve existing automation frameworks, build high-value automated coverage, strengthen test infrastructure, and help automation scale as the DryvIQ platform evolves. You do not need to have built an automation framework from scratch; what matters is demonstrated depth improving and scaling automation in a complex software environment.

You'll work across APIs, integrations, distributed and asynchronous workflows, containerized deployments, and user-facing functionality. Python and PyTest experience is valuable as we expand reusable tooling and cross-team libraries, but C#/.NET is the primary technical stack for this role.

This role is for an engineer who approaches quality as a software-engineering problem, applying strong coding, debugging, systems thinking, and test-design judgment rather than focusing only on test execution.

What You'll Do

• Maintain, extend, and scale existing C#/.NET-based test automation frameworks supporting DryvIQ.

• Design and implement reliable automated validation across API, integration, system, UI, regression, and end-to-end testing layers.

• Improve framework architecture, reusable components, test utilities, test-data capabilities, diagnostics, reporting, and maintainability.

• Build automated testing for Kubernetes-based, containerized, distributed applications, including multi-service and asynchronous workflows.

• Identify automation gaps, product risks, flaky tests, and framework limitations and prioritize improvements based on engineering and release impact.

• Build automated validation for APIs, microservices, distributed processing, asynchronous jobs, cloud and on-premises repositories, connectors, and enterprise integrations.

• Validate installation, deployment, configuration, upgrade, recovery, and failure scenarios in containerized environments.

• Integrate automated validation into CI/CD pipelines and improve the speed and quality of release feedback.

• Diagnose complex failures using application logs, APIs, Kubernetes/container evidence, telemetry, exceptions, service behavior, and other system evidence.

• Partner with developers to improve testability and determine the appropriate balance of unit, API, integration, system, and end-to-end coverage.

• Create maintainable automation patterns and reusable libraries that can be adopted by developers and QA engineers.

• Contribute to Python/PyTest-based utilities, tooling, or shared libraries as cross-team automation capabilities evolve.

• Help QA teammates strengthen automation skills through pairing, code reviews, examples, and technical guidance.

• Use approved AI-assisted engineering tools where appropriate for test design, code generation, scenario discovery, debugging, and coverage analysis, while independently validating generated outputs.

• Develop appropriate testing and validation approaches for AI-assisted or non-deterministic functionality.

Qualifications

Must-Have

• 6+ years of software engineering, SDET, test automation, or quality engineering experience with substantial hands-on automation development.

• Strong hands-on programming and test automation experience using C# and .NET.

• Demonstrated experience maintaining, extending, troubleshooting, and scaling an existing test automation framework.

• Experience improving framework reliability, maintainability, reusable components, utilities, test infrastructure, or execution efficiency.

• Strong hands-on experience testing Kubernetes-based, containerized, distributed applications.

• Strong understanding of Kubernetes, containers, distributed-system behavior, service dependencies, asynchronous processing, and failure modes.

• Experience building automated validation across APIs, integrations, systems, and end-to-end workflows.

• Experience testing microservices, asynchronous processing, or comparable distributed workflows.

• Experience integrating automated testing into CI/CD pipelines.

• Ability to diagnose complex failures using logs, APIs, application exceptions, Kubernetes/container evidence, telemetry, and system behavior.

• Strong judgment about what to automate, at which testing layer, and when manual or exploratory testing provides greater value.

• Strong collaboration skills working with software engineers, Product, DevOps, and QA peers.

Preferred

• Hands-on experience with Python and PyTest, particularly for test utilities, reusable libraries, tooling, fixtures, or cross-team automation.

• Experience working in engineering environments where C#/.NET and Python-based automation coexist.

• Experience creating reusable automation components or shared libraries used across teams.

• Playwright, Cypress, Selenium, or comparable UI automation technologies.

• AWS and/or Azure experience.

• AKS, EKS, K3s, or comparable Kubernetes environments.

• Cloud and on-premises connectors and storage integrations.

• SMB/NFS, S3, Azure Blob, or comparable enterprise data technologies.

• Postgres, ClickHouse, Keycloak, OAuth/OIDC, or similar technologies.

• Performance, load, reliability, resilience, or failure-injection testing.

• Test-data and test-environment architecture.

• Practical use of AI-assisted software or test-engineering tools with disciplined validation of generated outputs.

Ideal

• Significant experience improving automation for a complex product previously dependent on manual regression.

• Experience evolving an established automation framework as product scale, architecture, or engineering requirements changed.

• Strong experience testing distributed C#/.NET applications.

• Enterprise storage, content management, data governance, security, or data-infrastructure experience.

• Experience building reusable automation capabilities adopted across engineering or QA teams.

• Experience helping manual QA engineers become productive automation contributors.

• Experience testing large-scale distributed enterprise applications.

• Experience validating AI-enabled or non-deterministic functionality.

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, 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 product company with the scale and resources of a global technology investor.

In this role, you'll help evolve and scale the automation foundation for an increasingly important enterprise product. You'll work at the intersection of cloud, Kubernetes, distributed systems, AI, content intelligence, data governance, and enterprise infrastructure while collaborating with DryvIQ and Nasuni engineering teams globally.