Staff Software Engineer - Database Engineering

Job Title: Staff Software Engineer, Database EngineeringLocation: India, Hybrid

This is a hybrid position, which will require the ability to be onsite in our Bengaluru, India office as needed. Candidates must be based in India.

ABOUT THE COMPANY:

Clari + Salesloft are building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth.

With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate.

Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future.THE OPPORTUNITY:

At Clari + Salesloft, our Staff Software Engineer, DBE will be pivotal to our company’s success. You will be a key member of our fast-growing and high-performing team in India. We are looking for an experienced technical leader who can help realize the Clari + Salesloft vision of a "Data Platform as a Service." We are looking for engineers who are passionate about database reliability, cloud automation, and data integrity, and who thrive working on leading-edge technologies to scale our DataHub to Petabyte Scale.

On a day-to-day basis, you will be responsible to:

• Design, build, and scale our RDBMS (Postgres, MySQL, Amazon Aurora) and NoSQL systems (Cassandra, MongoDB) to meet massive ingestion and analytical demands.

• Lead large, cross-functional projects that identify and overcome friction points in data persistence, migration, and scaling.

• Architect scale-out strategies, including the evaluation and implementation of sharding technologies to distribute workloads effectively across clusters.

• Build automation and tooling (Infrastructure as Code) to improve engineering efficiency, reduce toil, and empower product teams to operate in a reliable and secure manner.

• Collaborate synchronously and asynchronously with Architects, Product Development, and Data Science teams to gather requirements and design scalable, distributed systems.

• Maintain, protect, and grow our data resources by owning the "backbone" of our production environment, including high-availability (HA) solutions, backups, and disaster recovery.