Sr Software Engineer - CPE

PayPal•Scottsdale, AZ

7d•$123,500 - $183,700•Hybrid

About The Position

This role owns the software Credit Production Engineering runs on. It delivers complete solutions across all phases of the SDLC for CPE's internal platforms — the knowledge base, the services behind it, and the automation the team depends on during live triage — and is accountable for those codebases as products: design, code review, tests, deployment and ongoing upkeep. It operates with little day-to-day supervision, guides engineers writing automation alongside their operational work, and applies technical best practices to build-versus-configure decisions within its own area. Essential Responsibilities: Delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC) (design, implementation, testing, delivery and operations), based on definitions from more senior roles. Advises immediate management on project-level issues Guides junior engineers Operates with little day-to-day supervision, making technical decisions based on knowledge of internal conventions and industry best practices Applies knowledge of technical best practices in making decisions

Requirements

3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Demonstrated ownership of a production codebase — not only writing code, but accountability for its design, review, tests, deployment and upkeep over time.
Working fluency in both Shell scripting, Python and TypeScript.
Depth in databases: schema design, migrations, roles and grants, indexing and query performance, and running a database in production including backup and restore.
Production experience with cloud infrastructure — AWS and GCP are both in play — including deployment and observability.
Operational credibility with on-call engineers: prior time on a rotation, and an understanding of the work from the inside. This role is not in the on-call rotation, but is the escalation path for the services it owns.
Ability to drive a technical design across teams where the role holds no authority.
Comfort with ambiguity — much of this work has no precedent inside the team.

Nice To Haves

PostgreSQL + pgvector or another vector store — embeddings, similarity search, index tuning.
Retrieval systems or LLM tooling.
Managed Postgres at scale — Cloud SQL, RDS, Aurora.
Alerting and monitoring platforms — Datadog, Splunk, PagerDuty.
Event correlation, anomaly detection, or time-series analysis.

Responsibilities

Deliver complete solutions across all phases of the SDLC for CPE's internal platforms, based on priorities set with the CPE manager.
Own CPE's tooling codebases as products — apply and uphold code review, testing and release practices for them, and be the named owner accountable for their state.
Carry the knowledge base platform from pre-production to production: monitoring, backup and restore, documented ownership, and the operational layer a service needs once a team depends on it daily.
Design, build and operate new services that reduce the team's toil on repetitive and manual work, including correlating operational signals that today are handled individually.
Own the PostgreSQL schema and data layer behind CPE's retrieval platform — schema design, migrations, roles and grants, indexing and query performance.
Advise CPE management on project-level technical issues, including build-versus-configure and sequencing decisions.
Review code from, and provide technical guidance to, engineers who write automation alongside their operational work.
Partner with engineering teams outside CPE to obtain the service topology and dependency knowledge CPE's tooling depends on.