Job Summary: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.
Job Description:Essential Responsibilities: - 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
Minimum Qualifications:- 1+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications:- 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).
Why Join Us- Real scale: Work on a huge production Kubernetes environment where efficiency gains translate directly into reliability and cost savings.
- High-ownership, home-grown systems: Build core platform technology rather than just configuring off-the-shelf tools.
- A blend of disciplines: Systems engineering, ML, data analysis, AI, and automation come together in everyday work.
- Collaborative environment: Work with strong engineers, get mentorship, and grow your scope and impact.
Subsidiary:PayPal
Travel Percent:0
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:
Primary Location | Pay Range:San Jose, California: ($116,500.00 - $173,250.00 Annually)
Additional Location(s) | Pay Range:Scottsdale, Arizona: ($100,500.00 - $149,600.00 Annually)
Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing-physical, emotional, and financial-delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
Any general requests for consideration of your skills, please Join our Talent Community.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.
