Staff Engineer – Platform, Database & Data Infrastructure

This is a fully remote position, open to applicants in India.

📋 Description

• Define and enhance the long-term strategy for database and data infrastructure across the organization.

• Design architectures that can accommodate the next level of growth in data volume and traffic.

• Establish architectural standards and frameworks for database selection, data modeling, partitioning, sharding, replication, consistency, availability, and data lifecycle management.

• Lead intricate, cross-team projects such as database migrations, re-platforming, sharding, multiregion architectures, and significant scalability enhancements.

• Proactively identify systemic risks related to reliability, scalability, and capacity before they escalate into critical production issues.

• Enhance database platform capabilities to make infrastructure more self-service, observable, reliable, and easier for engineering teams to manage.

• Develop strategies for capacity planning, data growth, archiving, disaster recovery, and improving infrastructure efficiency.

• Spot opportunities to enhance the cost-effectiveness and performance of database infrastructure at the company level.

• Assess new database technologies and architectures to make informed build-vs-buy and technology-selection decisions.

• Collaborate with senior engineers and engineering leadership on architectural and long-term technical strategies.

• Mentor engineers to elevate the technical standards for database and distributed-systems engineering.

• Construct database architectures that support future growth of 5–10×, mitigate systemic risks, streamline infrastructure operations, enhance technology choices and database economics, and establish enduring technical standards.

⛳️ Requirements

• Extensive experience as a Staff Engineer, Principal Engineer, or similar senior individual contributor, addressing infrastructure or database challenges across multiple teams.

• Profound knowledge of database internals and distributed systems, covering storage, indexing, partitioning, sharding, replication, consistency, transactions, availability, and failure modes.

• Experience in designing and managing production database systems with multi-terabyte or larger datasets.

• Proven experience with high-throughput systems managing 30K–50K+ operations per second, ideally at significantly higher scales.

• Strong production experience with various database technologies and architectures, including both relational and NoSQL/distributed systems.

• Demonstrated experience in leading substantial architectural transformations, migrations, or scaling initiatives that involve multiple engineering teams.

• Solid understanding of database reliability, capacity planning, observability, and infrastructure economics.

• Capability to tackle ambiguous technical challenges, establish a clear direction, foster alignment, and drive them through to execution.

• Excellent written and verbal communication skills, with the ability to influence engineers and engineering leadership without relying on formal authority.

• Proficiency in any programming language such as Node.JS, Java, or Python.

• Familiarity with multiple relational, distributed SQL, NoSQL, search, high-throughput, and large-scale analytical database technologies; experience with all listed technologies is not mandatory.

🏝️ Benefits

• Global, remote-first organization.

• Commitment to employees in India.