Staff Engineer – Distributed Data Systems, Infrastructure

• Design and evolve distributed data architectures capable of supporting significant growth in traffic, data volume, and engineering complexity
• Develop reusable infrastructure components, frameworks, and platform capabilities for scalable systems
• Identify limitations in existing systems and lead initiatives involving data distribution, sharding, replication, migrations, and architectural modernization
• Influence database technology choices, architectural patterns, and long-term infrastructure direction
• Lead initiatives improving scalability, resource efficiency, and infrastructure costs
• Design systems resilient under high throughput, infrastructure failures, and changing workloads
• Establish engineering standards and reusable solutions that eliminate recurring problems across teams
• Work with senior engineers and engineering leadership to turn company-level challenges into executable technical programs
• Take ownership of challenging infrastructure problems and enable systems to operate at substantially greater scale

• 9+ years of strong software engineering experience, including significant hands-on experience designing and building distributed systems, backend infrastructure, or large-scale data platforms, with demonstrated Staff-level technical impact
• Strong software engineering background with experience designing and building production infrastructure, not only operating or administering it
• Experience architecting systems handling multi-terabyte datasets and 30K–50K+ operations per second, or comparable large-scale distributed workloads
• Deep understanding of distributed systems concepts, including partitioning, sharding, replication, consistency, concurrency, fault tolerance, and data distribution
• Strong hands-on experience with both relational and NoSQL database architectures, including their design principles, scalability characteristics, and trade-offs
• Experience leading complex architectural initiatives involving multiple systems and engineering teams
• Ability to identify systemic technical problems and design solutions that improve infrastructure across the organization
• Strong technical judgment, ownership, and ability to influence architectural decisions without formal authority
• Strong experience with relational databases such as MySQL or PostgreSQL
• Experience with one or more distributed database technologies such as MongoDB, Cassandra, DynamoDB, or similar systems
• Experience with distributed SQL, search infrastructure, analytical databases, or other large-scale storage systems is an advantage

• Global, remote-first organization
• Employee India commitment