Decagon

1 month ago

Senior Software Engineer, Data Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Design, build, and operate high-throughput data pipelines and storage layers powering Decagon’s AI products. Own end-to-end data systems, optimize latency, and collaborate with research, product, and ML teams to scale data infrastructure with strong reliability and observability.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 200,000 - 400,000 annually

Equity and Bonus:Equity

Perks:MedicalDentalVisionRetirementParential LeaveMeal Allowance

Key Requirements

•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.

Experience:5+ yearsData infrastructureAICloud

Skills:Data pipelinesKafkaFlinkDbtClickHouseBigQuerySQLTerraformGitOpsOpenTelemetryPrometheusGrafanaDatadog

Tech Stack:ClickHouseKafkaFlinkAirflowDbtBigQueryTerraformKubernetesOpenTelemetryPrometheusGrafanaDatadog

Company Brief

Decagon

Builds conversational AI agents and a platform that automates customer support across chat, email, and voice, enabling brands to deliver concierge-level customer experiences at scale.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2023

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Decagon

1 month ago

Senior Software Engineer, Data Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 200,000 - 400,000 annually

Equity and Bonus:Equity

Perks:MedicalDentalVisionRetirementParential LeaveMeal Allowance

Key Requirements

•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.

Experience:5+ yearsData infrastructureAICloud

Skills:Data pipelinesKafkaFlinkDbtClickHouseBigQuerySQLTerraformGitOpsOpenTelemetryPrometheusGrafanaDatadog

Tech Stack:ClickHouseKafkaFlinkAirflowDbtBigQueryTerraformKubernetesOpenTelemetryPrometheusGrafanaDatadog

Company Brief

Decagon

Builds conversational AI agents and a platform that automates customer support across chat, email, and voice, enabling brands to deliver concierge-level customer experiences at scale.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2023

Glassdoor: 3.9

Website LinkedIn Glassdoor