Principal Engineer

Druva enables cyber, data and operational resilience for every organization with the Data Resiliency Cloud, the industry’s first and only at scale SaaS solution. Customers can radically simplify data protection, streamline data governance, and gain data visibility and insights as they accelerate cloud adoption. Druva pioneered a SaaS-based approach to eliminate complex infrastructure and related management costs, and deliver data resilience via a single platform spanning multiple geographies and clouds.

Druva is trusted by thousands of enterprises, including 60 of Fortune 500, to make data more resilient and accelerate their journey to the cloud. Visit druva.com and follow us on LinkedIn, X and Facebook. 

About Role :  

The Foundation team at Druva is responsible for designing a highly performant and scalable cloud file system on Druva cloud in AWS. To build this petabyte-scale, distributed, services-oriented cloud file system various key concepts like file system metadata, versioning, eventual consistency are used along with leveraging various AWS services like S3, DDB, Kinesis. While the core file storage engine provides the backup storage for all the Druva products, allied components like indexing engine, key-value store, and big data pipeline provide scalable search, analytics, and compliance services. The team diligently keeps track of newer services, storage tiers, and various aspects of existing AWS services to take advantage of the continuous evolution of services and use them effectively in the background.

As a Principal Engineer you will work with cross-functional development, product management and sales engineering teams to define the solution architecture for the data security and data management services and  its various features and capabilities. Continuously assess emerging trends in data security and data management platforms, applications, technologies, tools and API to help build and refine solution architecture for the existing as well as any new product. Mentor,  guide and train engineers on data management and data security as well as  principles of high quality and high velocity development in general.

Key Skills : 

• Expertise and hands-on experience in designing and implementing SaaS software at scale. Python OR Golang Language Expertise. 
• In-depth knowledge as well as experience working with cloud storage and data management solutions. 
• Hands-on experience and expertise building storage systems and solutions for protecting and securing data, especially those that involve storing data and metadata at scale. 
• Prior experience in building a data protection product is desirable.
• Experience with SaaS platforms like AWS and Azure is a plus.
• Strong technical leader with excellent communication skills who can collaborate with cross functional technical teams to meet the solution architecture needs of the product and who can influence and drive architecture, design and implementation of a system for timely business results and outcome.
• 10+ years of industry experience in building software products for enterprise. 

Desirable Skills: 

• Excellent written and verbal communication skills
• Familiar with Agile methodologies like Scrum etc.
• Experience in Cloud Technologies (preferably AWS) will be advantageous

Role and Responsibilities: 

• Work with cross-functional development, product management and sales engineering teams to define the solution architecture for the data security and data management services and its various features and capabilities. 
• Continuously assess emerging trends in data security and data management platforms, applications, technologies, tools and API to help build and refine solution architecture for the existing as well as any new product. 
• Drive the engineering teams in adopting and integrating data management applications and tools into the tech stack for a highly integrated product experience and quality. 
• Drive the engineering team in adopting best practices and principles of high quality SaaS software development
• Mentor, guide and train engineers on data management and data security as well as principles of high quality and high velocity development in general.  

Qualification: 

• B.Tech / B.E / M.E./ M.Tech (Computer Science) or equivalent. Advanced degree in computer science is a must.