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Stripe

Software Engineer, High Availability and Disaster Recovery

Seattle, USAHybridPosted 2 weeks ago

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Job type
Not listed
Work mode
Hybrid
Level
Not listed
Department
Software Development
Experience
3+ years experience
Posted
Sep 14, 2026

About the role

Responsibilities

  • Develop global architecture by combining less-available components and data centers into a highly available and resilient whole.
  • Work on latency-critical, time-sensitive and data redundancy solutions.
  • Solve broad range of problems, including investigating Mongo write concerns, minimizing cross-region TLS handshakes, and develop new systems to automate disaster detection and failovers.
  • Enable the company to increase the GDP of the internet by providing uptime and data protection.
  • Write code, scope, design, implement, and deploy solutions using multiple technologies, including: Ruby, Java, Mongo, Postgres, and other necessary tools as required.
  • Investigate issues in live, distributed production systems.
  • Collaborate across the company to provide an understanding of multi-region architectures, high durability implementation patterns, and best practices.
  • Learn, meet, and uphold high engineering standards through design and code review.

Minimum requirements

Must have a Bachelor’s degree or foreign equivalent in Computer Science, or a related field, plus five (5) years of post-bachelor’s progressive software development work experience. In the alternative, the employer is willing to accept a Master’s Degree or foreign equivalent degree in Computer Science, or a related field, plus three (3) years of software development work experience.

Must also have three (3) years of experience in each of the following:

  • Go, Ruby, or Java programming languages;
  • Database internals including data movement, leader election, and quorums;
  • Cloud infrastructure services, including: S3, EBS, EC2, and VPCs, to deploy scalable applications;
  • Designing and building Temporal workflows;
  • Using Trino SQL for data analysis and visualization; and
  • Designing fault-tolerant systems using data sharding and replication strategies.