Software Engineer, Infrastructure
Build and operate foundational data infrastructure at Chime, owning deployment platforms (Airflow, Flink) and core storage (DynamoDB, RDS). Requires 2+ years infrastructure/backend experience, Terraform, Kubernetes, AWS, and Python.
About the job
Responsibilities
- 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
Requirements
- 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
Nice-to-Haves
- Experience with data ingestion and ETL pipelines is a strong plus
Compensation
- Base salary: $133,000 - $184,000 (may be higher depending on location, skills, qualifications, and experience)
- Eligible for bonus, competitive equity package, and benefits
Skills
Terraform, Kubernetes, AWS, DynamoDB, Rds, Python, Airflow, Flink, Infrastructure As Code, ETL
Similar jobs
DevOps / SRE jobs
Airtable
San Francisco, CABackend engineers build and scale Airtable's infrastructure across teams like Base, Compute, Data, Storage, and Traffic. Requires 2-8 years experience in distributed systems, databases; CS degree; hybrid work in SF, NYC, Seattle, or LA areas.
Mercury
San Francisco, CABuild Mercury’s secure, observable infrastructure platform across AWS, networking, containers, and developer tooling. The role requires strong Linux fundamentals, cloud-native experience, technical writing ability, and software development skills, with opportunities to support AI-agent infrastructure.
Fab2
Austin, TXInfrastructure and site reliability intern building and operating on-premises backend infrastructure for a semiconductor fabrication environment. The role emphasizes systems programming, Linux, networking, reliability, observability, automation, and performance engineering.
Otter
Mountain View, CA
Production Engineer builds and operates large-scale systems, focusing on automation, monitoring, infrastructure management, and resilient operations. Requires 2+ years in SRE/DevOps, expertise in Linux, AWS, Kubernetes, and programming in Python or Golang.
Fab2
Austin, TXWinter infrastructure and site reliability internship focused on building and operating minimal, on-premises backend infrastructure for a semiconductor fabrication facility. The role requires systems programming, Linux, networking, distributed systems, and hands-on infrastructure or automation experience.