Chime Financial, Inc
Software Engineer, Infrastructure
About this role
Join Chime's Data Infra team as a Software Engineer to build and operate foundational infrastructure supporting data workflows at scale. You'll work across deployment platforms (Airflow, Flink) and managed databases (DynamoDB, RDS), writing infrastructure-as-code and managing Kubernetes environments in a high-impact generalist role.
What you'll do
- Build and maintain deployment infrastructure for data engineering workflows including Airflow, Flink, and chalk.ai
- Own and operate DynamoDB and RDS database infrastructure serving multiple teams
- Write infrastructure-as-code using Terraform and manage production Kubernetes workloads
- Partner with Data Engineering to translate requirements into scalable infrastructure solutions
- Drive reliability improvements through observability, capacity planning, and operational best practices
- Lead infrastructure changes from design through implementation and deployment
What they're looking for
- Terraform and infrastructure-as-code
- Kubernetes production management
- AWS services (DynamoDB, RDS)
- Python or similar programming language
- Systems thinking and reliability design
- Data ingestion and ETL pipeline experience
- Backend or platform systems engineering
- Cross-team communication and autonomous problem-solving
Benefits
- Competitive base salary ($133,000–$184,000)
- Performance bonus eligibility
- Equity package
- Comprehensive benefits package
- Remote work (USA-based)
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Chime Financial, Inc
Chime Financial, Inc builds financial products and services for millions of members, including earned wage access, instant loans, and membership features. The company is hiring full-stack engineers, backend service developers, trust and safety engineers, and ML platform engineers to build scalable systems powering member engagement, risk management, lending, and financial transactions.
View all jobs at Chime Financial, IncLikely interview questions
- Walk us through a production incident you experienced with Kubernetes or Terraform—what went wrong and how did you resolve it?
- Describe your experience operating DynamoDB and/or RDS at scale. What challenges have you encountered with managed databases?