Senior Software Engineer, Core Pricing — Real-Time, Scalable (Remote)

Unknown

United States

Remote

USD 140,000 - 220,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
Vision and dental
HSA
Wellness resources
Remote productivity allowance
Parental leave
Paid time off

Job summary

Unknown company is seeking an experienced software engineer to design and scale real-time pricing systems that translate risk models into reliable decisions. You will lead architecture and drive deployment, aiming for high performance and resilience across distributed services.

Working with data science, product, and business teams, you will influence revenue and customer outcomes in a remote-first environment across engineering and data teams.

Qualifications

  • Bachelor’s degree or equivalent plus at least four years of professional software engineering experience.
  • Strong production Python experience and proficiency in a typed language like Java or Kotlin.
  • Experience building scalable APIs, distributed systems, or microservices on AWS or GCP.
  • Competitive salary with annual base pay, bonus opportunities, and equity grants vesting quarterly.
  • Medical, dental, and vision coverage, plus health savings account and wellness resources.
  • Paid parental leave, paid time off, and remote-work productivity allowance.

Responsibilities

  • Design and scale real-time pricing systems that translate risk models into accurate, reliable decisions.
  • Lead architecture and implementation through production deployment, improving performance and resilience.
  • Collaborate with data science, product, and business teams to influence revenue and customer outcomes.

Skills

Python
Java
Kotlin

Education

Bachelor’s degree or equivalent

Tools

AWS
GCP
APIs

Job description

Unknown company is seeking an experienced software engineer to design and scale real-time pricing systems that translate risk models into reliable decisions. You will lead architecture and drive deployment, aiming for high performance and resilience across distributed services.

Working with data science, product, and business teams, you will influence revenue and customer outcomes in a remote-first environment across engineering and data teams.

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