Decagon
Senior Software Engineer, Data Infrastructure
$200K–$400K
San Francisco +1 · On-site · Senior · Full-time · Posted Aug 24, 2026
- Location
- San Francisco
New York City - Experience
- 5+ years building and operating production data infrastructure at scale.
About the job
Designs, builds, and operates data infrastructure and pipelines that support Decagon’s AI products, with a focus on reliability, performance, and enabling data use across engineering.
What you'll do
- Build and operate high-throughput streaming and batch data pipelines, with strong SLOs and observability.
- Own analytical data systems, including schema design, query performance, and cost optimization.
- Lead infrastructure-as-code and GitOps practices; participate in on-call and automate recurring fixes.
What they ask for
- 5+ years building and operating production data infrastructure at scale.
- Hands-on experience with ClickHouse, Kafka or an alternative listed in the posting, and Flink or dbt.
- Track record meeting high-availability and low-latency targets across streaming and batch workloads.
- Strong observability and incident-response skills; clear written communication.
Nice to have
- Experience with CDC tooling, orchestration frameworks, large-scale processing, or cloud data warehouses.
- Strong Kubernetes experience, multi-cloud exposure, or experience with customer-managed deployments.
Pay
$200K – $400K (base salary; posting describes this as expected compensation)
Tools
ClickHouse, Kafka, MSK, Pub-Sub, RabbitMQ, Flink, dbt, Terraform
AI focus
Build and operate data systems and infrastructure that power Decagon’s AI products.
Model-written summary · the original posting is authoritative