Software Engineer, Infrastructure
About the role
You'd be joining the Data Infra team — a small, high-leverage team within Chime's Infrastructure Engineering org. We build and operate the foundational platform that Data Engineering relies on to run their workflows reliably at scale: from deploying Airflow and Flink environments to owning the DynamoDB and RDS infrastructure that powers Chime's data platform. This is a generalist role where you'll touch both pillars — the data engineering deployment layer and the storage layer — so you'll never be bored. If you get energy from building durable foundations that other engineers build on top of, this team is for you.
The base salary offered for this role and level of experience will begin at $133,000.00 and up to $184,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
In this role, you can expect to
Build and maintain deployment infrastructure for Data Engineering workflows, including Airflow, Flink, and chalk.ai environments
Own and operate Chime's core storage technologies — DynamoDB and RDS — serving both data engineering and platform teams
Write infrastructure-as-code using Terraform and manage workloads on Kubernetes in production
Partner closely with Data Engineering to translate their needs into scalable, reliable infrastructure solutions
Drive reliability improvements across the platform — observability, capacity planning, and operational hygiene
Participate in the full lifecycle of infrastructure changes: design, build, test, and ship
Help shape how the Data Infra team scales its practices as Chime grows
To thrive in this role, you have
2–4 years of software engineering experience with a focus on infrastructure, platform, or backend systems
Hands-on production experience with Terraform and Kubernetes
Familiarity with AWS, particularly managed database services like DynamoDB and RDS
Strong programming skills in Python or a similar language
A systems-thinking mindset — you design for reliability, scalability, and maintainability from the start
The ability to work autonomously on ambiguous problems and communicate clearly across teams
Experience with data ingestion and ETL pipelines is a strong plus
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