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# Software Engineer, Resource Automation

- **Company:** Stripe, Inc.
- **Location:** South San Francisco, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $156,800.0 - $235,200.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Automation of Tests, Microsoft Azure, Code Review, Computer Engineering, Distributed Systems, Linux System Administration, Software Engineering, Google Cloud, Cloud Platform System, Backend, Information Technology, Low Latency, Oracle Cloud Infrastructure, Grpc, Docker, Microservices
- **Published:** October 27, 2026
- **Apply:** https://www.dice.com/job-detail/c43615af-db05-43bb-866f-255a99f3a221

## About the Role

Must have a Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, Electrical Engineering or a related field, plus 2 years of related work experience in software engineering.

Must also have 2 years of experience in each of the following:

 * Backend development in Go, including building production services and writing automated tests;
 * Distributed systems and microservices, and designing and implementing service APIs, including HTTP/REST or gRPC;
 * Deploying and operating services using common cloud primitives computing, networking, and storage in cloud environments including AWS, Azure, Google Cloud Platform, or OCI;
 * Containers and orchestration, including Docker and Kubernetes and operating containerized services in production; and
 * Observability and production troubleshooting, including using logs, metrics, and tracing to diagnose issues in Linux-based environments.

## Description

* Design, implement, test, deploy, and maintain backend services that support internal infrastructure and microservice operations.
 * Develop automation and tooling that streamlines resource provisioning, deployments, and operational workflows for internal engineering teams.
 * Produce and review technical designs; evaluate tradeoffs across reliability, latency, throughput, resiliency, cost, and engineering velocity.
 * Improve service operability by implementing monitoring/alerting, participating in on-call support as applicable, performing root-cause analysis, and addressing recurring failure modes.
 * Uphold engineering standards through code reviews, documentation, testing practices, and iterative improvements to existing services and systems.

Who you are