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# Senior Software Engineer, Platform job in San Francisco

- **Company:** Chime
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $187,000.0 - $259,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Continuous Integration, Python (Programming Language), Enterprise Messaging Systems, Redis, Ruby, Workflow Management Systems, Data Logging, Amazon ElastiCache, Caching, Kubernetes, Amazon Simple Queue Service (SQS), Terraform, Docker
- **Published:** July 12, 2026
- **Apply:** https://jobs.diversity.com/career/2412849/senior-software-engineer-platform-california-ca-san-francisco

## About the Role

* Solid understanding of async and synchronous data-sharing patterns - pub/sub, RPC, caching, and when to use each.
 * Strong Ruby/Rails experience Python or Go is a bonus.
 * Familiarity with AWS (ElastiCache, SNS/SQS) and infrastructure tooling like Terraform, Helm, Kubernetes, and Docker.
 * Experience with large-scale production systems and the tradeoffs that come with them.
 * Comfort working in CI/CD environments.
 * A track record of shipping production systems as part of a team.
 * You care about the engineers who use what you build - and you'll push back when a pattern is going to cause them pain later.

## Description

Chime is looking for a Senior Software Engineer to own the messaging, caching, job processing, and workflow platforms that keep services talking to each other.

The Messaging Platforms team sits between infrastructure and product. We build the frameworks, libraries, and operational patterns that let product engineers move quickly without having to carry the full complexity of messaging. When we do our jobs well, teams feel confident: messaging is reliable, scalable, observable, and easy to build on.

You'll work on:

 * Messaging and job processing - local and distributed async processing, service-to-service communication, and reliability work
 * Caching - Redis governance, usage patterns, and operational tooling
 * Workflow orchestration - running and improving the platforms teams use for scheduled jobs and long-running workflows (Temporal, Cronitor)
 * Shared Rails tooling - logging, tracing, security, PII masking, schema enforcement, and other shared concerns
 * AI-enabled engineering - finding practical ways to help Chime engineers use AI more effectively: automation, agent-ready tooling, platform capabilities that make AI-assisted development safer

There's a lot to do. We want someone who can figure out which problems are worth solving, ship something, measure whether it worked, and adjust. Not someone who ships and disappears.


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