# Senior Software Engineer - Workflows

**Company:** [Standard Template Labs](https://hotfix.jobs/companies/standard-template-labs)
**Location:** New York, NY
**Role:** Backend Engineering
**Salary:** $160k – $250k/yr
**Experience:** 5+ years
**Skills:** Go, Python, Java, Distributed Systems, APIs, cloud-native applications, Event-Driven Architecture, Temporal, Kubernetes, AWS, Postgres, Kafka, Redis, llm applications, Workflow Orchestration
**Posted:** 2026-07-22

> 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.

## Job Description

## 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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