Sr Software Engineer at PayPal
San Jose, CA
$169,576–$243,500from the description
Aug 9, 2026
San Jose, CA
Sep 24, 2026
What this job asks for AI summary
A Senior Software Engineer role on PayPal's iOS platform team, responsible for building and maintaining features for the flagship iOS application, improving automated testing and CI/CD pipelines, and collaborating with designers and cross-functional stakeholders. The position suits an experienced iOS engineer with a strong background in Swift, mobile architecture, and performance optimization, including some exposure to ML/AI in mobile contexts.
Senior level · 3+ years · San Jose-Sunnyvale-Santa Clara, CA · Master's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 45 people in the San Jose-Sunnyvale-Santa Clara, CA area plausibly meet what this posting asks for (mobile application developers). range 15–100
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $217,796 (middle half $177,469–$231,052). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 11, 2026. It is a model, not a headcount.
Why we read it this way (7)
The degree requirement is a hard gate: the posting specifies a Master's degree (or foreign equivalent) in Computer Science, Software Engineering, or a closely related field with no 'or equivalent experience' escape clause.
The posting lists Jenkins and Harness together as CI pipeline tools, and Crashlytics and Datadog together as monitoring tools; each pair is treated as interchangeable alternatives within its respective requirement.
Harness and Datadog appear as named alternatives within their respective skill requirements rather than as standalone skills.
Machine learning and AI in mobile applications carries a 2-year requirement vs. 3 years for most other skills — still listed under the hard-gate Special Skill Requirements section.
The role is hybrid (3 days in-office, 2 days flexible) at the San Jose, CA location; partial telecommuting is explicitly permitted but only from within commutable distance — not fully remote.
No sponsorship is available; candidates must be legally authorized to work in the US.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): iOS mobile performance optimization.
Read the full posting
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