Software Engineer

PayPal

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CAScottsdale, AZ
Salary
$116,500–$173,250 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday
Closes
Apr 27, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $153k
This role $145k
$107k $192k
below market most similar roles pay here above market

This role pays less than 53% of similar roles. Most pay $126,626–$179,375 — the blue band above. At the midpoint, this role pays about $145k versus about $153k for comparable roles.

Based on 240 similar postings.

Employer

About PayPal

PayPal is a leading global digital wallet and online payment system, founded in 1998, that allows individuals and businesses to send, receive, and manage funds securely in over 200 markets.

PayPal currently has 98 open roles on FindRole.

Listed pay typically runs $160,500–$238,700 across 93 roles with salary data.

Most-posted roles

View all roles at PayPal

At a glance

TL;DR · Software Engineer

JOB TITLE: Software Engineer The Software Engineer joins a team responsible for maintaining one of the world’s largest payment platforms by managing a massive Kubernetes production environment. In this role, you will build and operate home-grown platform systems that ensure the cluster remains fast, reliable, and efficient. Your daily responsibilities include writing production code, developing automation to reduce manual operational work, and performing root cause analysis for long-term fixes. You will utilize Go, Java, and Python to implement tasks within the Software Development Lifecycle while applying machine learning, data analysis, and AI techniques to improve cluster performance. The work involves analyzing system behavior at scale, using observability tooling like metrics, tracing, and logging, and leveraging Google Cloud Platform to solve complex infrastructure and cost efficiency problems.

What does a Software Engineer earn in California?

Median $214500 from 1126 postings across 74 companies.

See salary data

What you'll do

  • Design, build, and operate components of home-grown platform systems to maintain a Kubernetes environment.
  • Apply machine learning, data analysis, and AI techniques to improve cluster performance and reliability.
  • Build automation to reduce manual operational work and improve system stability.
  • Analyze system behavior and performance at scale to identify opportunities for efficiency and cost savings.
  • Partner with application and infrastructure teams to optimize how services run on the platform.
  • Perform root cause analysis and implement long-term fixes for systems under operational ownership.
  • Contribute to design and code reviews to maintain and raise engineering quality across the team.
  • Execute tasks within the Software Development Lifecycle using Go, Java, and Python.

What we're looking for

  • 1+ years of relevant experience and a Bachelor’s degree or an equivalent combination of education and experience.
  • Experience with cloud platforms, especially Google Cloud Platform (GCP) (preferred).
  • Experience managing or operating large-scale clusters or production infrastructure (preferred).
  • Experience applying machine learning or statistical methods to operational or infrastructure problems (preferred).
  • Experience building automation for production systems (preferred).
  • Familiarity with observability tooling such as metrics, tracing, and logging (preferred).

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