Decagon

Senior Software Engineer, Cloud Infrastructure

Senior · Офис · Сан-Франциско, США · Английский B2

Навыки

  • AWS
  • Azure
  • CI/CD
  • Customer Success
  • Datadog / New Relic
  • Распределённые системы
  • DNS / DHCP
Ещё 12
  • Форензика и реагирование
  • Google Cloud
  • Grafana
  • IAM / IDM
  • Kubernetes
  • Machine Learning
  • Мониторинг и observability
  • Ответственность за результат
  • Prometheus
  • SRE-практики
  • Техническая документация
  • Terraform

О компании и продукте

  • 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.

Задачи

  • Build the platform
  • Design the development and production platforms that power our products, and the abstractions over cloud infrastructure, Kubernetes, and networking that let engineers ship without becoming infrastructure experts
  • Make sure it all scales to the next order of magnitude as usage grows
  • Own enterprise deployments
  • Take end-to-end ownership of deployment architecture in customer-owned cloud environments (VPC configuration, permissioning, networking, provisioning) and the full lifecycle that follows: setup, upgrades, scaling, and incident support
  • Build the runbooks and automation that make it repeatable
  • Keep agentic workloads reliable
  • Treat monitoring, alerting, and rollback as first-class parts of anything you ship, not afterthoughts
  • Own the reliability of the systems our AI agents depend on in production, where latency, availability, and graceful degradation directly shape the customer experience
  • Partner across boundaries
  • Work directly with customers' platform, security, and DevOps teams to navigate their infrastructure and compliance constraints, and with our Product, Security, Sales, and Customer Success teams to turn customer requirements into concrete deployment plans
  • YOUR BACKGROUND LOOKS SOMETHING LIKE THIS
  • 4+ years building and operating core infrastructure, platform engineering, or infrastructure/DevOps, ideally with some customer-facing deployment experience
  • Deep experience with a major cloud provider (GCP, AWS, or Azure), along with Terraform and Kubernetes at scale
  • Strong grasp of cloud networking fundamentals (VPCs, IAM, DNS, load balancing) and how they surface as real deployment constraints
  • A track record operating production systems reliably: monitoring, on-call, incident response, and reasoning about failure modes up front
  • Comfort navigating ambiguity across a range of stakeholders, from engineers to security and compliance teams, and turning those conversations into actionable plans
  • Clear technical writing and a track record of driving adoption across teams
  • Comfortable in a fast-moving environment with rapid change

Будет плюсом

  • Experience managing deployments in customer-owned cloud environments, including security reviews, compliance requirements, and change management
  • Experience building internal platforms or paved roads: service templates, self-serve environments, CI/CD pipeline design, deployment automation
  • Familiarity with observability and incident management in distributed systems (Prometheus, Grafana, Datadog, or similar)
  • Infrastructure-as-code with a security-minded approach to supply chain (provenance, secrets, least privilege)
  • Experience operating latency-sensitive or ML/AI-serving workloads in production
  • Experience using AI-assisted tooling to make yourself and your team dramatically more effective
  • COMPENSATION
  • 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

Условия

  • 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
  • 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)
  • 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
  • 200K – $400K + Offers Equity
  • In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States

Паспорт вакансии

История публикации

Появилась в Вакандии30 дней
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Проверяли на источникеВидели 30 дней назад
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ГрейдSeniorвычитано из текста вакансии
Формат работыОфисвычитано из текста вакансии
ГеографияСан-Франциско, СШАвычитано из текста вакансии
Зарплата≈ 20 000 USD в месяцнаша оценка, в вакансии не названа

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  • ashbyОсновная публикация · 2026-07-10

Работодатель

Decagon

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