Senior Software Engineer, Data Infrastructure

Decagon
San Francisco, New York
Workplace: OnsiteFull timeUSD 200,000 - 400,000 annuallyFunction: Software EngineeringSkills: ["Communication","Incident response","Reliability","Performance optimization","Team collaboration"]

Design, build, and operate high-throughput data infrastructure powering AI products. Own end-to-end data pipelines and storage layers, improving reliability, performance, and SLOs with strong runbooks and telemetry. Build real-time and batch ingestion using Kafka, Flink, and Airflow; optimize analytical layers with ClickHouse/BigQuery and cost/performance tuning. Lead infrastructure-as-code and GitOps for data systems, and participate in on-call while reducing recurring data issues.

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FursaFursa
Decagon
Decagon
2 days ago

Senior Software Engineer, Data Infrastructure

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Design, build, and operate high-throughput data infrastructure powering AI products. Own end-to-end data pipelines and storage layers, improving reliability, performance, and SLOs with strong runbooks and telemetry. Build real-time and batch ingestion using Kafka, Flink, and Airflow; optimize analytical layers with ClickHouse/BigQuery and cost/performance tuning. Lead infrastructure-as-code and GitOps for data systems, and participate in on-call while reducing recurring data issues.
Location: San Francisco, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and implement high-throughput data pipelines and streaming systems with strong SLOs, runbooks, and actionable telemetry.
  • •Build and operate real-time and batch ingestion infrastructure using Kafka, Flink, and Airflow.
  • •Own the analytical data layer including schema design, query performance, and cost optimization.
  • •Partner with research and product teams to architect data solutions and scale new features.
  • •Lead infrastructure-as-code (Terraform) and GitOps practices for data systems; support on-call and reduce toil through automation.

Pay and Benefits

Salary: USD 200,000 - 400,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirement401kPensionParental LeaveFertility BenefitsMonthly StipendMeal AllowancePaid Leave

Key Requirements

  • •5+ years building and operating production data infrastructure at scale.
  • •Hands-on production experience with data technologies including ClickHouse, Kafka (or MSK/Pub-Sub/RabbitMQ), and Flink or dbt.
  • •Track record meeting high availability and low latency targets across streaming and batch workloads.
  • •Strong observability and incident response discipline using tools such as OpenTelemetry, Prometheus/Grafana, and Datadog.
  • •Clear written communication and ability to turn ambiguous data requirements into simple, reliable designs.
Experience:Production data infrastructureStreaming workloadsBatch workloadsObservability
Skills:CommunicationIncident responseReliabilityPerformance optimizationTeam collaboration
Tech Stack:KafkaFlinkAirflowClickHouseBigQueryTerraformGitOpsOpenTelemetryPrometheusGrafanaDatadogDebeziumDbtDagsterPrefectSparkDaskSnowflakeRedshiftDatabricks

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
Glassdoor: 3.9
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