Distributed Storage Engineer Go/Java Cassandra Redis

Visa Hunt; Seattle, San Francisco (WA, CA); Hybrid; USD 180,000 - 320,000; Full time

Benefits offered by this job

Equity grants

401(k) with employer matching

16 weeks of paid parental leave

Wellness benefits

Commuter benefits match

Paid time off (PTO)

Paid sick leave

Medical, dental, and vision benefits

Disability and basic life insurance

Family-forming assistance

Mental health program

Job summary

DoorDash is hiring for a Storage-focused role within its Core Infrastructure Organization. The team builds scalable data abstraction layers and storage platforms to support large-scale workloads across multiple services, including Cassandra-backed surfaces.

The role reports to the Storage team Engineering Manager and is hybrid in nature, located in the US. Ideal candidates have 2+ years in distributed data infrastructure, strong Go or Java skills, NoSQL and caching expertise, and experience with

Qualifications

• 2+ years of full-time working experience in designing, building and maintaining scalable, distributed data infrastructure.
• Proficient in GoLang, or Java with multi-threading, distributed systems and databases.
• Deep expertise in NoSQL databases (Cassandra, DynamoDB, or similar) and distributed caching systems (Redis, Memcached).
• Built and optimized high-scale data storage systems with a focus on reliability, availability, and performance.
• Expertise in workflow/orchestration engines (Temporal/Cadence/Argo) and modeling long-running, stateful workflows.
• Thrive in a fast-paced, execution-driven environment and have a proven track record of delivering impactful storage solutions.

Responsibilities

• Build and optimize distributed storage systems that improve data reliability, consistency, and performance.
• Own high-leverage control-plane services with clear customer impact, strong reliability requirements, and room for deep technical exploration.
• Develop and maintain data abstraction services tailored for high-throughput, low-latency workloads.
• Implement and refine caching strategies using Redis, Memcached, and similar technologies to enhance system efficiency.
• Collaborate with teams across infrastructure, platform, and application layers to ensure seamless data access and storage performance.
• Drive innovation in storage architecture by identifying and addressing scalability and efficiency challenges in distributed systems.

Skills

GoLang

Java

Distributed systems

NoSQL databases

Distributed caching

Workflow/orchestration engines

Multi-threading

Databases

Tools

Temporal

Cadence

Argo

Job description

DoorDash is hiring for a Storage-focused role within its Core Infrastructure Organization. The team builds scalable data abstraction layers and storage platforms to support large-scale workloads across multiple services, including Cassandra-backed surfaces.

The role reports to the Storage team Engineering Manager and is hybrid in nature, located in the US. Ideal candidates have 2+ years in distributed data infrastructure, strong Go or Java skills, NoSQL and caching expertise, and experience with