About the Role
We're looking for a US based backend engineer to work across our data pipeline, infrastructure, and deployment systems. You'll build and maintain the services that power our Customer Data Platform — from ingestion workflows that resolve millions of customer profiles, to the infrastructure that keeps it all running on AWS.
This isn't a single-repo job. You'll move between our Python data platform, Terraform infrastructure, and Kubernetes deployment manifests depending on what the work demands.
What You'll Work On
- Data Pipeline Development — Build and extend Temporal workflows for data ingestion, audience segmentation, and profile resolution in Python 3.12 / FastAPI
- Infrastructure as Code — Provision and maintain AWS resources (EKS, RDS, S3, IRSA) using Terraform, deployed via Terraform Cloud
- Deployment & GitOps — Manage Kustomize manifests and ArgoCD-driven deployments to EKS, including sync-wave orchestration for zero-downtime releases
- Cross-Service Integration — Work at the boundaries between services — API contracts, event-driven workflows, and shared infrastructure dependencies
- Observability — Instrument services, investigate production issues, and improve monitoring across the platform
What We're Looking For
Must-Have
- 3–5 years backend engineering experience
- Strong Python — you've built production services, not just scripts
- Relational database experience (PostgreSQL preferred) — schema design, migrations, query optimization
- Comfort with REST API design and async patterns
- Familiarity with containerized deployments (Docker, Kubernetes basics)
- Git workflow proficiency — you work in PRs, understand branching strategies
Strong Preference
- Temporal or similar workflow orchestration (Airflow, Step Functions, Prefect)
- Terraform or equivalent IaC tool — you've written modules, not just run applies
- AWS services experience (EKS, RDS, S3, IAM/IRSA, Secrets Manager)
- Kustomize or Helm for Kubernetes configuration
- FastAPI or similar async Python web framework
- SQLAlchemy (async) and Alembic migrations
Nice to Have
- ArgoCD / GitOps deployment patterns
- Meltano / Singer ecosystem (ELT pipelines)
- Multi-tenant SaaS architecture experience
- CI/CD pipeline design (GitHub Actions)
- Experience with External Secrets Operator or similar secrets management
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