Decagon
AI
SeniorSoftwareEngineer,DataInfrastructure
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer, Data Infrastructure at Decagon. Skills: Data Infrastructure, Data Pipelines, Streaming Systems, Observability. Design and implement data pipelines. Build and operate ingestion infrastructure”
What You'll Achieve.
Deliver high-scale, low-latency systems; Ensure reliability, scale, and cost efficiency; Power analytics and customer-facing telemetry; Support on-prem/air-gapped deployments; Make shipping fast, safe, and consistent; Deliver magical support experiences; Work confidently with data at scale; Hit tight p95/p99 targets; Reduce drift with reusable modules
Industry & Context.
Elimination of recurring data issues
On-call
What They're Looking For.
Must Have
5+ years building and operating production data infrastructure at scale, Hands-on experience with Tier 1 data technologies, Proven track record meeting high availability and low latency targets, Excellent observability chops, Clear written communication
Nice to Have
Experience with CDC tooling, Experience with orchestration frameworks, Familiarity with Spark or Dask for large-scale data processing, Experience with cloud data warehouses, Experience being an early data/platform/infrastructure engineer at another company, Kubernetes experience, Multi-cloud exposure, Experience with customer-managed deployments
What You'll Do.
Design and implement data pipelines
Build and operate ingestion infrastructure
Own analytical data layer
Partner with research and product teams
Tune pipeline and query latencies
Lead infrastructure-as-code practices
Participate in on-call
How You'll Work.
Team & Collaboration
Partner with product, data, and ML; Partner with research and product teams
Communication Scope
Clear written communication
Full Job Description
About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. ABOUT THE TEAM The Infrastructure team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice. We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics. We organize around four focus areas: - Core Infra: The foundational cloud stack—networking, compute, storage, security, and infrastructure‑as‑code—to ensure reliability, scale, and cost efficiency. - 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
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