> Markdown version of [/jobs/ext/4282854-software-engineer](https://www.wearedevelopers.com/jobs/ext/4282854-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer

- **Company:** PayPal
- **Location:** San Jose, CA, United States
- **Salary:** $116,500.0 - $173,250.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Data Analysis, Build Automation, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Software Engineering, Datadog, Data Logging, Google Cloud, Kubernetes, Production Code, Golang
- **Published:** October 31, 2026
- **Apply:** https://www.disabledperson.com/jobs/76307746-software-engineer

## About the Role

* 1+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.

## Description

Running one of the world's largest payment platforms means keeping our Kubernetes production environment fast, reliable, and efficient. Our team builds the in-house systems that make that possible, using machine learning, data analysis, automation, and AI to keep a very large production cluster running at its best.

The systems you build will support millions of users and billions of dollars in transactions. You'll own meaningful pieces of the platform, write production code in Go, Java, and Python, and see the impact of your work in real time., * Implements tasks within the Software Development Lifecycle (SDLC), receiving structure and oversight from more experienced staff

 * Follows well-established internal conventions and standard procedures
 * Understands internal standards & processes an applies them to make technical decisions
 * Collaborates with peers, manager, and project lead to gain understanding of tasks and review solutions
 * May contribute to code & design reviews, * Design, build, and operate components of our home-grown platform systems that keep our Kubernetes environment efficient.
 * Apply machine learning, data analysis, and AI techniques to improve how the cluster runs.
 * Build automation that reduces manual operational work and improves reliability.
 * Analyze system behavior and performance at scale to find opportunities to improve efficiency and cost.
 * Partner with application teams and platform/infrastructure teams to improve how services run on our platform.
 * Take part in operational ownership of the systems you build, and drive root cause analysis and long-term fixes.
 * Contribute to design and code reviews, and help raise engineering quality across the team.
 * Work independently on well-scoped projects, and help break down larger, ambiguous problems with guidance from senior engineers.
 * Experience with cloud platforms, especially Google Cloud Platform (GCP).
 * Experience managing or operating large-scale clusters or production infrastructure.
 * Experience applying machine learning or statistical methods to operational or infrastructure problems.
 * Experience building automation for production systems.
 * Familiarity with observability tooling (metrics, tracing, logging)., The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is