Software Engineer, Infrastructure

Overview In this role you will build and operate the foundational data infra that powers Chime’s data workflows. You will work cross-functionally with Data Engineering to design reliable deployment and storage platforms at scale. You’ll tackle reliability, observability, and capacity planning to keep data pipelines and storage services dependable. This is a hands-on, lifecycle-spanning position that shapes how the data platform scales as the company grows. You’ll join a small, high-leverage team that builds durable foundations others rely on. Compensation / Benefitsbonus and competitive equitymedical, dental, vision, life, and disability benefits401k matchgenerous vacation policypaid parental leavehybrid/remote work options ResponsibilitiesBuild and maintain deployment infrastructure for Data Engineering workflows (Airflow, Flink, chalk.ai) in productionOwn and operate core storage technologies (DynamoDB, RDS) supporting data engineering and platform teamsWrite infrastructure-as-code using Terraform and manage workloads on KubernetesPartner with Data Engineering to translate needs into scalable infrastructureDrive reliability improvements across the platform (observability, capacity planning, operational hygiene)Participate in the full lifecycle of infrastructure changes: design, build, test, and shipHelp shape how the Data Infra team scales its practices as Chime grows Key requirements2–4 years of software engineering experience focused on infrastructure, platform, or backend systemsHands-on production experience with Terraform and KubernetesFamiliarity with AWS, especially DynamoDB and RDSStrong programming skills in Python or a similar languageSystems-thinking mindset focused on reliability, scalability, and maintainabilityAbility to work autonomously on ambiguous problems and communicate across teamsExperience with data ingestion and ETL pipelines is a strong plusclear communicationautonomous problem solvingcross-team collaborationTerraformKubernetesAWS DynamoDB