Senior Software Engineer – File System

Senior Software Engineer — Filesystem

Location: Hyderabad, India — Hybrid, 3 days onsite per week

Role Overview

Nasuni is seeking a Senior Software Engineer to help build and improve the core file system technology behind our cloud-native file data platform. This role sits within the File System team, responsible for the storage architecture, metadata services, caching, snapshots, replication, recovery, and protocol capabilities that power Nasuni’s enterprise file platform.

You will design, develop, test, debug, and operate production-grade systems software used by large enterprise customers. You will work closely with engineers across File System, Platform, Control Plane, Security, Infrastructure, and QA to improve scalability, resilience, performance, and operational simplicity.

This role is ideal for engineers who enjoy C/C++ systems programming, distributed systems, file system internals, Linux, performance engineering, and production debugging. It is not intended for engineers focused primarily on front-end development, application-only feature delivery, or high-level architecture without hands-on implementation.

Level & Scope Definition

You will own complex file system features or components from design through production. You will make technical tradeoffs, write high-quality code, participate in design reviews, resolve difficult defects, and help improve engineering practices within the team. You will influence implementation approaches and reliability improvements while partnering with more senior technical leaders on broader architecture decisions.

Responsibilities

Design and implement core file system and storage platform capabilities using C and C++.

Build and improve services related to metadata, snapshots, caching, replication, recovery, data consistency, and storage efficiency.

Contribute to NFS, SMB, S3, POSIX, or related file access and storage protocol capabilities.

Debug complex issues across distributed services, Linux environments, and Kubernetes-based infrastructure.

Improve performance, scalability, reliability, observability, and test coverage for production systems.

Partner with engineering teams to deliver secure, maintainable, and operationally efficient platform improvements.

Participate in design reviews, code reviews, incident analysis, and root-cause investigations.

Use AI-assisted engineering workflows where appropriate for code generation, debugging, test creation, log analysis, documentation, and workflow automation while maintaining accountability for correctness, security, and quality.

Mentor engineers through code review, technical guidance, and practical systems engineering practices.

Expected Outcomes & Impact

Deliver reliable file system features that support enterprise-scale workloads.

Improve performance, resiliency, debuggability, and operational efficiency across core storage components.

Reduce defects and production risk through stronger testing, observability, and root-cause discipline.

Accelerate team execution while maintaining high engineering standards.

Qualifications

Must Have

6+ years of software engineering experience, including substantial systems programming experience.

Strong C and C++ development skills in production environments.

Experience with Linux, concurrency, memory management, debugging, and performance analysis.

Experience building or operating distributed systems, storage systems, file systems, or infrastructure software.

Understanding of file system concepts such as POSIX semantics, metadata, caching, consistency, snapshots, replication, or recovery.

Experience owning complex technical work from design through production release.

Strong debugging, testing, code review, and root-cause analysis skills.

Preferred

Experience with NFS, SMB, S3, FUSE, VFS, Linux kernel interfaces, or object storage systems.

Experience with Kubernetes, cloud-native infrastructure, or containerized distributed services.

Experience with high availability, data protection, replication, or recovery workflows.

Experience with performance benchmarking, profiling, observability, and production incident analysis.

Experience mentoring engineers or leading feature-level technical design.

Ideal

Experience building enterprise-scale file systems, distributed storage platforms, or cloud file services.

Deep expertise in metadata services, file system consistency, protocol behavior, or performance-sensitive storage paths.

Experience using AI-assisted engineering workflows to improve development speed, troubleshooting, testing, or documentation.

Experience Guidelines

6–10+ years total software engineering experience.

3+ years in distributed systems, storage, infrastructure, or systems programming.

1–3+ years owning complex components, major features, or production-critical technical work.

AI at Nasuni

AI at Nasuni is used to improve efficiency, decision-making, and engineering outcomes. In this role, you will be expected to use AI tools where appropriate for code assistance, debugging, architecture analysis, documentation, test generation, and workflow automation while applying strong engineering judgment, validation, security awareness, and ownership. AI is a productivity multiplier, not a substitute for technical expertise.

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 / India

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. You’ll innovate at the intersection of cloud, AI, and enterprise data infrastructure, collaborate with talented teams, and build modern platforms trusted by enterprises worldwide. Join us in Hyderabad and help shape the future of intelligent, AI-ready data management.

Benefits

As part of our commitment to your well-being and growth, Nasuni offers competitive benefits designed to support every stage of your life and career, including competitive compensation programs, flexible time off and leave policies, comprehensive health and wellness coverage, hybrid and flexible work arrangements, employee referral and recognition programs, professional development and learning support, an inclusive and collaborative team culture, modern office spaces with team events and perks, and retirement and statutory benefits as per Indian regulations.

To all recruitment agencies: Nasuni does not accept agency resumes. Please do not forward resumes to our job boards, Nasuni employees, or any other company location. Nasuni is not responsible for any fees related to unsolicited resumes.

Nasuni is proud to be an equal opportunity employer. We are committed to fostering a diverse, inclusive, and respectful workplace where every team member can thrive. All qualified applicants will receive consideration for employment without regard to race, religion, caste, color, sex, gender identity or expression, sexual orientation, disability, age, national origin, or any other status protected by applicable laws in India or the country of employment.