Senior Software Engineer

. Own processes end to end: design, implement, test, deploy, monitor, and support them in production.

Posted 9/25/2026full-timeRemote • United StatesSeniorWebsite

Tools & technologies

AirflowAWSCloudDockerETLKubernetesPythonSQLTerraform

Key responsibilities & impact

Own processes end to end: design, implement, test, deploy, monitor, and support them in production.
Build and maintain ETL pipelines with scheduled and event-driven batch processing over large volumes of web, behavioral, and account data.
Own the team's infrastructure, CI/CD, and observability, including consolidating older systems onto the current platform.
Ensure the correctness of the data produced by systems, including preventing silent data issues.
Make key technical decisions, write tests covering real business logic, and provide substantive code reviews.
Deploy and operate work directly in production and resolve issues when they occur.

What you’ll need

Senior-level experience: years of building and operating production systems, comfortable owning products end to end with limited supervision.
Strong Python skills in both data-processing and service/API contexts.
SQL and cloud data warehousing (Snowflake or equivalent), with a healthy instinct for data correctness and idempotency.
Event-driven architecture on AWS (SQS/SNS, S3, IAM, Secrets Manager), with workloads running in Docker and Kubernetes.
Experience with a workflow orchestrator (Argo Workflows, Airflow, Dagster, or similar).
Operational maturity: you instrument what you build and can diagnose a production issue yourself.
Effective in a small cross-functional team, and able to explain technical tradeoffs to data science and product stakeholders.
Infrastructure as code (Pulumi or Terraform) is nice to have.
Serving ML models in production: transformer inference, vector databases, GPU scheduling, and LLM APIs is nice to have.

Comp & perks