Senior Staff Software Engineer (DataLake)

About Druva

Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence.

Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world.

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– Senior Staff Software Engineer

Druva delivers Data Protection and Management for the cloud era. Druva Cloud Platform is built on AWS and offered as-a-Service; customers drive down costs by up to 50 percent by freeing themselves from the burden of unnecessary hardware, capacity planning, and software management. Druva is trusted worldwide by over 4,000 companies at the forefront of embracing the cloud. Druva is a privately held company headquartered in Sunnyvale, California, and is funded by Sequoia Capital, Viking Global Investors, Tenaya Capital, Riverwood Capital, and Nexus Partners

• Please do visit us at: The Data team within Foundation processes data at scale. It builds and operates tools that scan petabytes of data to extract insights. The team builds indices and views for semi-structured data to facilitate analytics, using both in-house and off-the-shelf tools.

. 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

Sr. Software Engineer,

you will be providing technical leadership to create high-quality software by owning low level , design and implementation of services within a product. This role will require excellent communication skills as you will collaborate with Product Management to refine requirements, product architects to propose design changes, and other product owners to drive features to completion with good quality.

Key Skill

• AI first mindset to software development, having experience using genAI during various phases of software development lifecycle from design to code to test using tools like 'cursor'
• 5-7 years of experience, preferably in a product company, building global scale distributed SaaS applications that handle petabytes of data.
• Hands-on experience in the design and development of complex products
• Extensive hands-on experience in Go/Python/C/C++/Java on Unix/Linux platforms.

A strong understanding of complex concepts related to computer architecture, data structures, algorithms, design concepts, and programming practices.

• Nice to have: Data modelling for OLAP workloads, Scalability design and query optimisations

• Desirable Skills:

• Excellent written and verbal communication skills
• Working knowledge of Dockers and Kubernetes will be an advantage

• Role and Responsibilities:

• The Sr. Software Engineer's role is to be the technical leader in building enterprise-grade scalable, performant systems which deliver the required functionality to the customers and delight them
• Should be able to design and implement sufficiently large and complex features and/or architectural improvements to the product.
• Suggest and propose solutions to complex design problems.
• Identify areas of engineering improvements to the product and work with product architects and the team to address them.
• Should be able to technically guide junior engineers with feature design and implementation.
• Review design and implementation done by junior engineers.
• Should be able to independently handle complex escalations and guide others as required.
• Be able to write technical blogs and make technical presentations in internal and external forums

Qualification

Tech / B.E / M.E./ M.Tech (Computer Science) or equivalent

• Excellent written and verbal communication skills
• Working knowledge of Dockers and Kubernetes will be an advantage