Senior Software Engineer - AI & Platform Automation

Doist

United States

Remote

USD 144,000 - 209,000

Full time

14 days+
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Benefits offered by this job

Equity stake
Discretionary annual bonus
Flexible work environment, allowing 60

Job summary

SeatGeek is seeking a Biz Tech software engineer to help scale a containerized service-oriented architecture and ship code to production daily. You will leverage AI tooling to turn ideas into scalable features, design robust integrations, and mentor non-technical colleagues while maintaining high standards across the stack.

This role focuses on real-time data integrations and agentic workflows across teams.

Qualifications

  • Experience building business critical software in a fast-paced environment.
  • Demonstrated ability to solve complex technical challenges.
  • Experience with real-time data integrations and AI-enabled automation.
  • Ability to create custom solutions for unique problems and scalable agentic workflows.
  • Strong product mindset and dedication to high-quality code and mentorship.

Responsibilities

  • Run a modern, containerized service-oriented architecture with best practices.
  • Ship code to production multiple times a day.
  • Leverage AI tools to turn ideas into scalable features while upholding standards.
  • Translate R&D patterns into scalable applications for non-technical users.
  • Design and scale AI-driven workflows across SeatGeek.
  • Build powerful integrations between systems to generate efficiency with AI.
  • Guide non-technical users toward stronger building capabilities and robust architecture.
  • Evaluate new technologies to maintain an edge in tooling and platform.

Skills

Software craftsmanship
Product mindset
Mentoring
Fast-paced environment
Complex problem solving

Tools

Python (FastAPI)
Go
C# (.NET Core)
React+Typescript
Swift
Kotlin
AWS
Kubernetes
ArgoCD
Datadog
Gitlab
Aurora (Postgres)
OpenSearch
DynamoDB
Kafka
Flink
Airflow
Temporal
LLMs / AI tooling

Job description

SeatGeek is seeking a Biz Tech software engineer to help scale a containerized service-oriented architecture and ship code to production daily. You will leverage AI tooling to turn ideas into scalable features, design robust integrations, and mentor non-technical colleagues while maintaining high standards across the stack.

This role focuses on real-time data integrations and agentic workflows across teams.

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