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# Senior Software Engineer, Backend - Platform (Overseer)

- **Company:** Coinbase, Inc.
- **Location:** Pierre, SD, United States
- **Experience:** Expert
- **Salary:** $186,065.0 - $218,900.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Distributed Systems, Amazon DynamoDB, PostgreSQL, MongoDB, Blockchain, Ruby, Software Engineering, Data Streaming, Apache Spark, Backend, Apache Flink, Ethereum, Apache Kafka, Docker, Golang
- **Published:** July 30, 2026
- **Apply:** https://dejobs.org/x/x/C5570185ADC14DA5857807B13915C973/job/

## About the Role

* 5+ years of software development experience with large-scale distributed systems.
 * Strong sense of correctness - not just "does the code work" but "is the system as a whole behaving correctly."
 * Experience building platform-level infrastructure used by multiple teams.
 * Strong ownership: you hold the problem, not just the ticket.
 * Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

 * You have gone through a rapid growth in your company (from startup to mid-size).
 * Experience with financial, payments, or reconciliation systems.
 * Streaming data infrastructure (Kafka, Flink, Spark, or similar).
 * You've worked with Golang, Ruby, Docker, Postgres, MongoDB or DynamoDB.
 * You've built financial, high reliability or security systems.
 * Crypto-forward experience, including familiarity with onchain activity such as interacting with Ethereum addresses, using ENS, and engaging with dApps or blockchain-based services.

## Description

* Contribute to the core platform: the detection engine, invariant framework, and tooling that partner teams use to onboard their fund flows.
 * Own workstreams end-to-end: from designing correctness models with partner teams to operating them in production.
 * Build AI guardrails that close the velocity gap: predictive consistency models that flag deviations at initiation (not after settlement), and proactive invariant discovery that surfaces coverage gaps before any team asks - before incidents, not because of them.
 * Mentor junior engineers and lead technical execution on high-impact projects., Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.


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