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.
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 and 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
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.
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.