Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in San Francisco, United States"), this listing's salary midpoint is about 87% higher. The offer sits above the benchmark range (€10,707–€16,060). The listed pay band (€16,667–€33,333) is wider than the benchmark, which suggests greater salary variability. This benchmark is based on 3 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Software Engineer | €3,500/per month | €5,889/per month | €12,323/per month |
| All roles in San Francisco, United States | €10,707/per month | €14,107/per month | €16,060/per month |
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises to deploy AI agents that power personalized interactions across voice, chat, email, SMS, and every channel. We’re an in-office company focused on excellence and velocity. The Infrastructure team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real-time voice. This role owns the infrastructure problem of keeping multi-tenant cloud and customer environments fast, reliable, and secure. You’ll build platforms and abstractions over cloud infrastructure, Kubernetes, and networking, and you’ll architect and operate deployments that run our agents inside enterprise customer clouds with strong security and compliance requirements.
Job Details
Responsibilities
- 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.
- 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.
- 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.
- 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.
Requirements
- 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), 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.
Skills & Technologies
| Location | Active listings |
|---|---|
| Remote - Global | 1 |
| Remote - Iceland | 1 |
| Remote - Norway | 1 |
| Remote - Finland | 1 |
| Remote - Sweden | 1 |
| Remote - Denmark | 1 |
| Role type | Active listings |
|---|---|
| Solutions Engineer | 1 |
| Strategic Solutions Engineer | 1 |
| Role level | Active listings |
|---|---|
| Senior | 2 |
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