Data Infra: Streaming/batch data platforms powering analytics/BI and customer‑facing telemetry, including for customer‑managed and on‑prem environments.
ML Infra: GPU and model‑serving platforms for LLM inference with multi‑provider routing and support for on‑prem/air‑gapped deployments.
Platform (DevEx): CI/CD, paved paths, and core services that make shipping fast, safe, and consistent across teams.
Our mission is to deliver magical support experiences — AI agents working alongside humans to resolve issues quickly and accurately.
About the Role
We're hiring a Senior Data Infrastructure Engineer to design, build, and operate the data systems that power Decagon's AI products. You'll own critical data pipelines and storage layers end‑to‑end, improve reliability and performance, and create paved paths that let every Decagon engineer work confidently with data at scale.
In this role, you will
Design and implement high‑throughput data pipelines and streaming systems with strong SLOs, clear runbooks, and actionable telemetry.
Build and operate real‑time and batch ingestion infrastructure using tools like Kafka, Flink, and Airflow.
Own our analytical data layer — schema design, query performance, and cost optimization across ClickHouse, BigQuery, or similar.
Partner with research and product teams to architect data solutions, evaluate performance, and scale new features.
Tune pipeline and query latencies: optimize data paths, apply smart caching/partitioning, and hit tight p95/p99 targets.
Lead infrastructure‑as‑code (Terraform) and GitOps practices for data systems; reduce drift with reusable modules and policy‑as‑code.
Participate in on‑call and drive down toil through automation and elimination of recurring data issues.
Your background looks something like this
5+ years building and operating production data infrastructure at scale.
Hands-on experience with Tier 1 data technologies: ClickHouse, Kafka (or MSK/Pub‑Sub/RabbitMQ), and Flink or dbt.
Proven track record meeting high availability and low latency targets across streaming and batch workloads.
Excellent observability chops (OpenTelemetry, Prometheus/Grafana, Datadog) and strong incident response discipline.
Clear written communication and the ability to turn ambiguous data requirements into simple, reliable designs.
Even better if you have
Experience with CDC tooling (Debezium) and orchestration frameworks (Airflow, Dagster, or Prefect)
Familiarity with Spark or Dask for large‑scale data processing
Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks)
Experience being an early data/platform/infrastructure engineer at another company
Strong Kubernetes experience (GKE/EKS/AKS) and multi‑cloud exposure (GCP, AWS, Azure)
Experience with customer‑managed deployments
COMPENSATION
$200K – $400K + Offers Equity
This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.
In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States.
Benefits
We proudly offer the following benefits for our full-time employees
Medical, Dental, and Vision benefits for you and your family
Life Insurance and Disability Benefits
Retirement Plan (e.g., 401K, pension)
Parental Leave
Fertility and family building benefits through Carrot
Monthly stipend to support your wellness, lifestyle, and work-life balance
Daily lunches and snacks in the office to keep you at your best
Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)
Decagon offers a competitive benefits package that varies by country and complements local statutory benefits. Details for this location will be provided during the recruitment process.
