Senior Software Engineer, Cloud Infrastructure

Decagon
San Francisco
Workplace: OnsiteFull timeUSD 200,000 - 400,000 annuallyFunction: Software EngineeringExperience: 4+ yearsSkills: ["Technical writing","Driving adoption","Stakeholder management","Reasoning about failure modes","Reliability focus"]

Build and operate core cloud infrastructure that powers agentic AI customer support experiences. Design scalable development/production platforms and abstractions over cloud infrastructure, Kubernetes, and networking, then take end-to-end ownership of deployment architecture in enterprise customer environments. Ensure reliability through monitoring, alerting, rollback, and incident support, and partner across customer platform/security/DevOps plus internal Product, Security, Sales, and Customer Success teams.

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FursaFursa
Decagon
Decagon
1 month ago

Senior Software Engineer, Cloud Infrastructure

âś“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Build and operate core cloud infrastructure that powers agentic AI customer support experiences. Design scalable development/production platforms and abstractions over cloud infrastructure, Kubernetes, and networking, then take end-to-end ownership of deployment architecture in enterprise customer environments. Ensure reliability through monitoring, alerting, rollback, and incident support, and partner across customer platform/security/DevOps plus internal Product, Security, Sales, and Customer Success teams.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and build development/production platforms and abstractions over cloud infrastructure, Kubernetes, and networking.
  • •Own enterprise deployment architecture in customer-owned cloud environments, including setup, upgrades, scaling, and incident support.
  • •Create runbooks and automation to make deployments repeatable.
  • •Maintain reliability for agentic workloads with first-class monitoring, alerting, and rollback.
  • •Collaborate with customers’ platform/security/DevOps teams and internal teams to turn requirements into concrete deployment plans.

Pay and Benefits

Salary: USD 200,000 - 400,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLife InsuranceDisability401kPensionParental Leave

Key Requirements

  • •4+ years building and operating core infrastructure, platform engineering, or infrastructure/DevOps, ideally with customer-facing deployment experience.
  • •Deep experience with a major cloud provider (GCP, AWS, or Azure) plus Terraform and Kubernetes at scale.
  • •Strong grasp of cloud networking fundamentals including VPCs, IAM, DNS, and load balancing.
  • •Track record operating production systems reliably, including monitoring, on-call, incident response, and failure-mode reasoning.
  • •Ability to navigate ambiguity across stakeholders from engineers to security and compliance teams, translating input into actionable deployment plans.
Experience:4+ yearsInfrastructurePlatform engineeringDevOpsCloudKubernetesAgentic AI
Skills:Technical writingDriving adoptionStakeholder managementReasoning about failure modesReliability focus
Tech Stack:AWSGCPAzureTerraformKubernetesVPCIAMDNSLoad balancingCI/CDPrometheusGrafanaDatadog

Company Brief

Decagon
Builds conversational AI agents and a platform that automates customer support across chat, email, and voice, enabling brands to deliver concierge-level customer experiences at scale.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2023
Glassdoor
Glassdoor: 3.9
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