Decagon Logo

Decagon

Senior Software Engineer, Infrastructure

Reposted 11 Days Ago
Be an Early Applicant
In-Office
New York City, NY, USA
250K-330K Annually
Senior level
In-Office
New York City, NY, USA
250K-330K Annually
Senior level
Design and operate production infrastructure for high-scale systems. Collaborate with teams to architect solutions, ensure reliability, and optimize performance.
The summary above was generated by AI

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 five 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 issues quickly and accurately.

About the Role

We’re hiring a Senior Infrastructure Engineer to design, build, and operate production infrastructure for high‑scale, low‑latency systems. You’ll own critical services end‑to‑end, improve reliability and performance, and create paved‑paths that let every Decagon engineer ship confidently.

In this role, you will

  • Design and implement critical infrastructure services with strong SLOs, clear runbooks, and actionable telemetry.

  • Partner with research and product teams to architect solutions, set up prototypes, evaluate performance, and scale new features.

  • Tune service latencies: optimize networking paths, apply smart caching/queuing, and tune CPU/memory/I/O for tight p95/p99s.

  • Evolve CI/CD, golden paths, and self‑service tooling to improve developer velocity and safety.

  • Support various deployment architectures for customers with robust observability and upgrade paths.

  • Lead infrastructure‑as‑code (Terraform) and GitOps practices; reduce drift with reusable modules and policy‑as‑code.

  • Participate in on‑call and drive down toil through automation and elimination of recurring issues.

Your background looks something like this

  • 5+ years building and operating production infrastructure at scale.

  • Depth in at least one area across Core/Data/AI‑ML/Platform/Voice, with curiosity to learn the rest.

  • Proven track record meeting high availability and low latency targets (owning SLOs, p95/p99, and load testing).

  • Excellent observability chops (OpenTelemetry, Prometheus/Grafana, Datadog) and incident response (PagerDuty, SLO/error budgets).

  • Clear written communication and the ability to turn ambiguous requirements into simple, reliable designs.


Even better if you have

  • Experience being an early backend/platform/infrastructure engineer at another company

  • Strong Kubernetes experience (GKE/EKS/AKS) and experience across multiple cloud providers (GCP, AWS, and 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:

  • Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)

  • 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

  • Daily lunches and snacks in the office to keep you at your best

These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

Top Skills

Aks
AWS
Azure
Datadog
Eks
GCP
Gke
Grafana
Kubernetes
Opentelemetry
Prometheus
Terraform

Similar Jobs

10 Days Ago
Hybrid
New York, NY, USA
140K-215K Annually
Senior level
140K-215K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The role involves building and managing large-scale distributed data processing systems, focusing on Flink/Spark infrastructure across various platforms while ensuring reliability and security.
Top Skills: AWSDockerFlinkGoHiveJavaKafkaKotlinKubernetesMinioPinotS3ScalaSparkTerraformTrino
5 Days Ago
Easy Apply
Remote or Hybrid
2 Locations
Easy Apply
127K-249K Annually
Senior level
127K-249K Annually
Senior level
Big Data • Cloud • Software • Database
The Security Software Engineer will design and implement security controls for MongoDB Atlas, collaborating across engineering teams and ensuring adherence to high security standards.
Top Skills: ApparmorC/C++CgroupsEbpfGoGrafanaJavaKubernetesPythonRustSeccompSelinuxSplunkTerraformVictoria Metrics
20 Days Ago
Hybrid
New York, NY, USA
170K-230K Annually
Senior level
170K-230K Annually
Senior level
Artificial Intelligence • Information Technology • Software
The Senior Software Engineer will improve backend systems and infrastructure, ship features, maintain operational excellence, and provide technical leadership.
Top Skills: AWSGoKotlinMySQLPythonReactRustScalaTypescript

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account