Build scalable backend services and event-driven workflow orchestration systems for an AI-native enterprise platform. The role requires 5+ years of software engineering experience and strong skills in backend development, distributed systems, APIs, and cloud-native applications.
160k – 250k/yr
On-site5+ YOEBackend Engineering
About the role
Responsibilities
Design and build scalable backend services that power workflow execution and orchestration.
Develop reusable workflow components and APIs used across the platform.
Build reliable, event-driven systems that coordinate long-running business processes.
Partner with Product and Design to deliver intuitive workflow experiences.
Help define engineering best practices around scalability, reliability, and observability.
Requirements
5+ years of professional software engineering experience.
Strong backend development skills in Go, Python, Java, or a similar language.
Experience designing distributed systems, APIs, and cloud-native applications.
Strong understanding of asynchronous processing and event-driven architectures.
Ability to thrive in a fast-paced, collaborative startup environment.
Nice to Have
Experience with workflow orchestration platforms such as Temporal, Cadence, Camunda, Argo, Airflow, or Dagster.
Experience with Kubernetes and AWS.
Experience with PostgreSQL, Kafka, or Redis.
Experience with AI/LLM applications or agentic systems.
Experience with enterprise automation or integration platforms.
Compensation and Benefits
Competitive compensation, equity, and benefits package.
Opportunity to build foundational product features for an AI-first enterprise platform.
Ownership of critical systems that scale to millions of users.
Culture focused on craftsmanship, autonomy, and technical excellence.
On-site collaboration with the founding team in the Flatiron District, Manhattan.
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