Software Engineering Manager – Ransomware Protection
Hyderabad, India (Hybrid – 3 days in office)
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—combining the pace of a fast-growing 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, and build modern platforms trusted by enterprises worldwide. Join us in Hyderabad and help shape the future of intelligent, AI-ready data management.
Role Overview
We are hiring a hands-on Software Engineering Manager to lead the engineering team responsible for strengthening Nasuni’s ransomware detection and protection capabilities.
This team builds cloud-native services that collect and process system data, prepare it for machine learning workflows, train detection models, and reintegrate models into production systems to improve threat detection accuracy and recovery automation.
This role is ideal for a technical leader who:
- Still enjoys writing production-grade Python
- Understands AWS-based distributed systems
- Can translate architectural challenges into pragmatic solutions
- Has managed engineers through performance growth and delivery execution
This is not a pure cybersecurity research role. It is a cloud engineering leadership role building resilient, AI-enabled data protection systems.
Level & Scope Definition
This is a first-line engineering leadership role with domain ownership over ransomware detection services and ML data preparation pipelines.
You will:
- Lead and develop a team of ~5 software engineers
- Own architecture and technical decisions within your domain
- Drive sprint planning, estimation discipline, and backlog refinement
- Contribute directly to design reviews and critical code paths
- Ensure production reliability across AWS-native services
- Partner with Product, Security, Cloud Platform, and SRE teams
You are accountable for:
- Delivery predictability
- Service reliability and scalability
- Code quality and system maintainability
- Team performance and development
Responsibilities
- Architect and evolve Python-based services that collect, process, and prepare system data for machine learning workflows
- Design and operate AWS-native systems interacting with S3 and related cloud services
- Build tooling and data pipelines that feed ML training and enable model deployment back into production environments
- Ensure secure, resilient, and scalable distributed systems that support ransomware detection and response
- Lead agile execution: sprint planning, estimation, backlog refinement, and retrospectives
- Establish disciplined, data-informed engineering practices (avoid speculative estimates; use metrics)
- Conduct performance management and coach engineers for growth
- Review architecture decisions and provide technical direction grounded in system understanding
- Collaborate with Security teams to strengthen detection, data protection, and recovery workflows
- Leverage AI-assisted engineering tools responsibly to improve productivity while maintaining code quality and validation standards
Qualifications
Must-Have Qualifications
- 10+ years of software engineering experience
- 2+ years of direct people management experience
- Strong Python and/or C++ development experience in production systems
- Experience designing scalable backend or distributed systems
- Experience leading Agile/Scrum delivery processes
- Ability to understand full system data flows and architect improvements
Preferred Qualifications
- Experience building data pipelines that support ML training workflows
- Experience integrating ML models into production systems
- Familiarity with AWS S3 and object storage concepts
- Exposure to Terraform or infrastructure-as-code practices
- Experience in data protection, ransomware detection, or security-adjacent domains
- Familiarity with SMB or file system protocols
Ideal Qualifications
- Experience building detection or anomaly-based systems at scale
- Experience operating high-availability SaaS infrastructure
- Experience balancing hands-on coding with team leadership
- Experience using AI-assisted development tools responsibly in production engineering workflows
Experience Guidelines
- 10+ years total software engineering experience
- 2+ years leading engineering teams
- Demonstrated experience owning distributed systems or backend services at scale
Why Work at Nasuni – Hyderabad?
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:
- 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
- Inclusive, collaborative team culture
- Modern office spaces with team events and perks
- 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.
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.
Top Skills
What the Team is Saying
What We Do
Nasuni transforms how enterprises store, protect, and access their file data. The Nasuni File Data Platform replaces legacy file servers, NAS, backup, and disaster recovery with one secure, cloud-based solution. It lets global teams access and collaborate on files anywhere, scale effortlessly across hybrid-cloud environments, and recover instantly from ransomware or outages. Trusted by leading companies in manufacturing, media, AEC, and more, Nasuni helps IT teams cut costs, simplify operations, and get file data ready for AI and analytics. For customers, Nasuni means faster performance, lower cost, built-in resilience, and Unstructured Data Management ready for AI. For candidates, it’s a chance to join a fast-growing leader shaping the future of hybrid-cloud data, where innovation, collaboration, and impact drive every role. For more information, visit www.nasuni.com.
Why Work With Us
We’re scaling up our people, our products, and our ecosystem. We’re not just building better technology. Nasuni is successful because we focus on taking care of our employees, nurturing talent, ensuring quality for our customers, maintaining a healthy balance sheet, and yes, always improving our technology.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Our hybrid and remote work policy allows our team to source top talent and let them decide how and where they work best.
