Senior Software Engineer, Storage

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Storage based in United States.

This role sits within a Transactional Storage Services organization responsible for critical online serving stores and databases at large scale.
You will help design, build, and operate a modern NewSQL database that serves as a source of truth for critical user, listing, and financial data.
The position offers opportunities to work deeply across storage engines, query execution, replication, consensus, change data capture, and distributed systems.
Depending on the team, you may focus on database kernel performance and reliability or on infrastructure that enables seamless workload migration and adoption.
You will investigate complex production issues, improve system performance and availability, and contribute to open-source database technology.
The role combines hands-on engineering, deep technical problem solving, operational ownership, and close collaboration with engineering and infrastructure teams.
You will have a direct impact on the reliability, scalability, and adoption of systems that support critical data workloads.

Accountabilities:

• Design, build, and operate scalable distributed storage and database systems supporting critical online workloads.
• Investigate database internals, query execution, storage engines, and SQL latency or availability issues to identify and resolve complex technical problems.
• Improve database performance, reliability, and stability across storage, query execution, consensus, change data capture, routing, and shard management.
• Partner with database technology vendors on root cause analysis, technical improvements, and upstream contributions to open-source projects.
• Design and implement infrastructure for database adoption, including two-way replication, automated failover and failback, and migration tooling.
• Collaborate across Kernel, SRE, ORM, KV, and SQL interface teams to make database onboarding and migrations reliable and efficient for internal users.
• Validate and safely roll out new database architectures while maintaining transactional correctness across distributed shards.
• Build supporting frameworks and tooling for monitoring, observability, permissions, service discovery, and database operations.
• Analyze and optimize traffic prioritization, connection pooling, latency, concurrency, and overall system performance.
• Take ownership of high-severity production incidents, conduct deep technical investigations, and drive durable improvements to system reliability.
• Contribute to technical design, implementation, testing, and operational practices across a complex distributed systems environment.

Requirements:

• 5+ years of experience building and operating large-scale distributed systems, particularly in storage, data ingestion, backup and restore, or streaming.
• Hands-on experience with database or storage internals, including query execution, storage engines, replication, or consensus.
• Strong ability to understand, own, and contribute deeply to complex codebases, ideally including open-source systems.
• Proven experience maintaining, analyzing, and debugging high-severity production incidents.
• Strong software engineering skills with a focus on clean, testable, and maintainable production code.
• Strong understanding of distributed systems, reliability, performance, and operational best practices.
• Ability to investigate complex technical problems and translate findings into practical, scalable solutions.
• Strong collaboration and communication skills, particularly within a remote working environment.
• High ownership, sound technical judgment, and a consistent track record of delivering complex engineering projects.
• Ability to work effectively across infrastructure, platform, database, and application engineering teams.

Benefits:

• U.S. base salary range of $196,000–$230,000 USD .
• Eligibility for bonus and equity, depending on the role and applicable compensation structure.
• Comprehensive employee benefits.
• Employee Travel Credits.
• Reasonable accommodations throughout the recruitment process for applicants with disabilities.
• Opportunity to work on large-scale distributed storage and database infrastructure with significant technical complexity and impact.
• Exposure to open-source database technologies and collaboration across specialized engineering teams.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.