Senior Software Engineer, Cloud Infrastructure

Decagon; San Francisco (CA); On-site; USD 200,000 - 400,000; Full time

Benefits offered by this job

Vacation policy—take what you need

Medical, dental, and vision benefits

Retirement plan (401K)

Job summary

Decagon is hiring for an infrastructure-focused role building and operating core platforms. You’ll own deployment architectures in customer clouds, ensuring security, reliability, and scale across multi‑tenant environments.

You’ll design platforms over cloud, Kubernetes, and networking, and you’ll implement automation, CI/CD, and on‑call readiness as the team expands to support enterprise AI deployments.

Qualifications

• 4+ years building and operating core infrastructure, platform engineering, or infra/DevOps.
• Deep experience with a major cloud provider (GCP, AWS, or Azure).
• Terraform and Kubernetes at scale.
• Strong cloud networking fundamentals (VPCs, IAM, DNS, load balancers).
• Production systems reliability: monitoring, on‑call, incident response.
• Comfort navigating ambiguity across stakeholders and turning conversations into plans.

Responsibilities

• Design development and production platforms over cloud infrastructure, Kubernetes, and networking.
• Own enterprise deployments in customer clouds with setup, upgrades, scaling, and incident support.
• Build runbooks and automation for repeatable deployments.
• Ensure monitoring, alerts, and rollback are first‑class parts of every release.
• Collaborate with product, security, and customer teams to align deployment plans.

Skills

Core infrastructure

Cloud architectures

Platform engineering

Infrastructure/DevOps

Networking fundamentals

Monitoring & incident response

Technical writing

Tools

Terraform

Kubernetes

Prometheus

Grafana

Datadog

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.

Read more about the infra team's work here: https://decagon.ai/blog/what-an-air-gapped-ai-deployment-actually-requires

About the Role

Decagon builds agentic AI that resolves customer support conversations end to end, for companies ranging from fast-growing startups to some of the largest financial institutions in the world. Keeping that system fast, reliable, and secure (across our multi‑tenant cloud and inside customers' own locked‑down environments) is an infrastructure problem, and that's the problem this role owns.

You’ll build the platforms and abstractions our product teams ship on, and you’ll architect and operate the deployments that run our agents inside enterprise customer clouds, where security, compliance, and operational rigor matter as much as speed. The work is core infrastructure at heart: reliability, CI/CD, deployment automation, on‑call. You'll be joining a team with real infrastructure and momentum already in place, but there's no established playbook for running agentic systems at this scale, so a big part of the job is figuring it out as the technology shifts and usage grows by orders of magnitude.

What you'll do

• 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.

Even better if you have

• 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

$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.