Software Engineer, Infrastructure

Chime

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$184,000–$184,000 / yr
Posted
3 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $175k
This role $184k
$127k most similar roles pay here $222k

This role pays more than 59% of similar roles. Most pay $137,500–$212,500 — the shaded band above. At the midpoint, this role pays about $184k versus about $175k for comparable roles.

Based on 240 similar postings.

Employer

About Chime

Chime is a financial technology company offering mobile-first banking services including fee-free checking accounts, savings accounts, and a secured credit builder card through partner banks. Industry: Financial Technology & Neobanking

Chime currently has 26 open roles on FindRole.

Listed pay typically runs $207,000–$207,000 across 26 roles with salary data.

Most-posted roles

View all roles at Chime

At a glance

TL;DR · Software Engineer, Infrastructure

Join the Data Infra team within Chime's Infrastructure Engineering organization as a mid-level engineer, where you'll build and maintain deployment infrastructure for Data Engineering workflows using Airflow, Flink, and chalk.ai while also owning core storage technologies like DynamoDB and RDS. Your day-to-day will involve writing Terraform scripts to manage workloads on Kubernetes in production, collaborating with Data Engineering to create reliable infrastructure solutions, and driving platform reliability through observability and capacity planning. You'll need 2–4 years of experience in software engineering focused on infrastructure or backend systems, hands-on knowledge of Terraform and Kubernetes, familiarity with AWS managed database services, strong Python programming skills, and a mindset for designing scalable and maintainable systems. This role offers the chance to shape how the Data Infra team scales as Chime continues to grow.

What you'll do

  • Build and maintain deployment infrastructure for Data Engineering workflows using Airflow, Flink, and chalk.ai.
  • Own and operate DynamoDB and RDS storage technologies to support data engineering and platform teams.
  • Write Terraform scripts to manage production workloads on Kubernetes.
  • Translate Data Engineering needs into scalable and reliable infrastructure solutions.
  • Drive improvements in observability, capacity planning, and operational hygiene across the platform.

What we're looking for

  • 2-4 years of software engineering experience in infrastructure, platform, or backend systems.
  • Hands-on production experience with Terraform and Kubernetes.
  • Proficiency in AWS managed database services like DynamoDB and RDS.
  • Strong programming skills in Python or a similar language.
  • Experience building and maintaining deployment infrastructure for data workflows.
  • Ability to work independently on complex problems and communicate effectively across teams.

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