Decagon

4 weeks ago

Senior Software Engineer, Platform Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Senior Software Engineer focused on building and evolving Decagon's internal developer platform. You will own CI/CD and release automation, observability standards, platform tooling, and developer workflows to reduce toil and speed up engineering. You’ll create gold-standard templates and pipelines, improve test reliability, support progressive delivery, and partner with product and ML teams to raise operability and scalability.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Identify workflow bottlenecks (build/test/release/local dev) and build tools that measurably reduce toil.
•Create and maintain “golden paths” like service templates, CLIs, libraries, and automation that teams rely on.
•Design reusable CI pipelines and deployment workflows that are fast, safe, and easy to adopt across teams.
•Improve reliability of builds and tests (flake reduction, hermeticity, caching) and drive down cycle time.
•Establish shared observability primitives (metrics/logs/traces), standards, and libraries so services are production-ready by default.

Pay and Benefits

Salary: USD 200,000 - 400,000 annually

Equity and Bonus:Equity

Perks:MedicalDentalVisionRetirementParental Leave

Key Requirements

•4+ years building production software with platform/devtools/infrastructure experience
•Strong coding ability in Python or TypeScript/JS and comfort building developer-facing tooling
•Hands-on experience with CI/CD systems and scalable pipelines
•Practical experience with observability in production (instrumentation, alerting, dashboards)
•Comfort with containers and modern cloud infrastructure (Docker/Kubernetes)

Experience:4+ yearsCloudDevopsInfrastructureSRE

Skills:PythonTypeScriptCI/CDDockerKubernetesCLIObservabilityAutomation

Languages:English

Tech Stack:PythonTypeScriptCI/CDDockerKubernetes

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: 3.9

Website LinkedIn Glassdoor

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Decagon

4 weeks ago

Senior Software Engineer, Platform Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Identify workflow bottlenecks (build/test/release/local dev) and build tools that measurably reduce toil.
•Create and maintain “golden paths” like service templates, CLIs, libraries, and automation that teams rely on.
•Design reusable CI pipelines and deployment workflows that are fast, safe, and easy to adopt across teams.
•Improve reliability of builds and tests (flake reduction, hermeticity, caching) and drive down cycle time.
•Establish shared observability primitives (metrics/logs/traces), standards, and libraries so services are production-ready by default.

Pay and Benefits

Salary: USD 200,000 - 400,000 annually

Equity and Bonus:Equity

Perks:MedicalDentalVisionRetirementParental Leave

Key Requirements

•4+ years building production software with platform/devtools/infrastructure experience
•Strong coding ability in Python or TypeScript/JS and comfort building developer-facing tooling
•Hands-on experience with CI/CD systems and scalable pipelines
•Practical experience with observability in production (instrumentation, alerting, dashboards)
•Comfort with containers and modern cloud infrastructure (Docker/Kubernetes)

Experience:4+ yearsCloudDevopsInfrastructureSRE

Skills:PythonTypeScriptCI/CDDockerKubernetesCLIObservabilityAutomation

Languages:English

Tech Stack:PythonTypeScriptCI/CDDockerKubernetes

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: 3.9

Website LinkedIn Glassdoor