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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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.
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.
- 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.
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