Senior Staff Software Engineer (DataLake)

You won’t just join a company at Druva, you’ll help shape the future of data security at the moment it matters most. We are building a modern standard with our cloud-native solutions, designed to simplify the toughest challenges in cyber resilience for our customers. As the pioneer and market leader in fully managed SaaS data protection, we help organizations secure and recover their data from ransomware, cyberattacks, and operational disruptions without the complexity, cost, or risk of legacy infrastructure.

Our momentum is backed by the market: Druva was named a Leader in the 2025 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms, a Leader in the 2025 IDC MarketScape for Cyber-Recovery, and a Leader & Outperformer in the 2025 GigaOm Cloud Data Protection Radar. Even better, customers validate that leadership every day through strong Gartner Peer Insights ratings, standout Net Promoter Scores (NPS), and top willingness-to-recommend results.

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The Foundation team at Druva is responsible for designing a highly performant and scalable cloud file system on the 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 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. 

• 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.

• Data modelling for OLAP workloads, Scalability design and query optimisations
• Understanding of data consistency at cloud scale, eventual consistency models
• Hands on experience with Big data tools and frameworks (Datalake / Lakehouse, ETL) preferably in public cloud ecosystems like AWS and modules like  Apache Spark, AWS Glue, Iceberg.

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

• →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

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