Staff Software Engineer

Oscar Health

Hybrid

Quick summary

Work type: Hybrid
Location: Los Angeles, CA
Salary: $192,000–$252,000 / yr
Posted: 57 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $179k

This role $222k

$121k most similar roles pay here $266k

This role pays more than 78% of similar roles. Most pay $142,849–$215,306 — the shaded band above. At the midpoint, this role pays about $222k versus about $179k for comparable roles.

Based on 240 similar postings.

Employer

About Oscar Health

Oscar Health is a technology-driven health insurance company offering individual, family, and small business health plans.

Oscar Health currently has 54 open roles on FindRole.

Listed pay typically runs $135,792–$178,227 across 50 roles with salary data.

Most-posted roles

View all roles at Oscar Health

At a glance

TL;DR · Staff Software Engineer

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As a Staff Software Engineer at Oscar, you will join our Engineering team in Los Angeles to lead the design and development of enhancements to our next-generation claims and payment processing systems. Your daily tasks include working on contract and pricing configuration, system extensibility through an internally developed DSL, and data pipeline architecture. You will selectively apply AI to automate and improve processes that are currently tedious and error-prone, focusing on building scalable and reliable systems for accurate and efficient claims and payment handling. This role requires expertise in relevant technologies, proficiency with AI applications, and a strong background in software engineering practices.

Skills

Python Java Kubernetes Docker AWS CI/CD PostgreSQL Redis GraphQL AI Data Pipeline Architecture Scalability Reliability

What you'll do

Lead design and development of enhancements to claims and payment processing systems.
Develop system extensibility through an internally created DSL (Domain Specific Language).
Improve data pipeline architecture for efficiency and reliability.
Apply AI selectively to automate and enhance processes, reducing errors.
Build scalable and reliable systems ensuring accuracy in claims and payments.

What we're looking for

Extensive experience in designing and developing scalable, reliable systems.
Proficient in applying AI to automate and improve complex processes.
Expertise in data pipeline architecture and efficiency optimization.
Strong background in system extensibility using domain-specific languages (DSL).
Experience leading the development of enhancements for claims and payment processing.

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