Staff Automation – Platform Engineer

Jobtailor; Missouri; On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor is seeking an seasoned full-stack software professional to own and evolve complex, production-ready systems across frontend, backend, and data layers.

You will refactor prototypes for high-volume transactions, implement robust testing, and design agentic workflows and LLM chaining. You will connect predictive models, legacy systems, and third-party platforms through scalable API architectures.

Qualifications

• Bachelor’s degree in CS or related field.
• 8+ years of experience in Software Development, Automation Engineering, or Backend Engineering.
• Proficiency with ReactJS/Vite, Python, PostgreSQL, and Databricks.
• Experience with REST APIs and workflow orchestration tools.
• Strong focus on code quality, error handling, and testing across software and automation systems.
• Ability to rapidly learn and build production-quality agents and automations within Databricks, Glean, Azure AI Foundry, and Google tooling.
• GM does not provide immigration sponsorship; applicants must not require GM sponsorship now or in the future.

Responsibilities

• Build and maintain a full-stack software platform across frontend, backend, and data layers.
• Refactor prototypes into production-grade code for high-volume transactions.
• Apply automated testing, error handling, observability, and reliability practices to software, agentic frameworks, and automation pipelines.
• Design complex workflows such as agentic frameworks and LLM chaining.
• Manage API connections between predictive models, legacy systems, third-party platforms, and user interfaces.
• Build agents and automations within Databricks, Glean, Azure AI Foundry, and Google tooling.
• Implement logging, monitoring, and self-recovery mechanisms.
• Document and evangelize engineering best practices and design patterns.
• Coach other teams on building reliable, testable agents and automations.
• Serve as the technical escalation point for complex code-related issues after deployment.

Skills

Full-Stack Development

ReactJS/Vite

Python

Databricks

REST API Management

Education

Bachelor’s Degree in Computer Science

Bachelor’s Degree in Software Engineering

Tools

Databricks

Glean

Azure AI Foundry

Google Tooling

PostgreSQL

Job description

• Build and maintain a full-stack software platform across frontend, backend, and data layers
• Refactor prototypes into robust, production-grade code for high-volume transactions
• Apply automated testing, error handling, observability, and reliability practices to software, agentic frameworks, and automation pipelines
• Design complex workflows such as agentic frameworks and LLM chaining
• Manage API connections between predictive models, legacy systems, third-party platforms, and user interfaces
• Build agents and automations within Databricks, Glean, Azure AI Foundry, and Google tooling
• Implement logging, monitoring, and self-recovery mechanisms
• Document and evangelize engineering best practices and design patterns
• Coach other teams on building reliable, testable agents and automations
• Serve as the technical escalation point for complex code-related issues after deployment

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or related field
• 8+ years of experience in Software Development, Automation Engineering, or Backend Engineering
• Strong proficiency with ReactJS/Vite, Python, PostgreSQL, and Databricks
• Experience with REST APIs and workflow orchestration tools
• Strong focus on code quality, error handling, and testing across traditional software and agentic/automation systems
• Ability to rapidly learn and build production-quality agents and automations within Databricks, Glean, Azure AI Foundry, and Google tooling
• GM does not provide immigration-related sponsorship; applicants must not require GM immigration sponsorship now or in the future

Core Competencies

Demonstrates expertise in full-stack software development, focusing on building and maintaining robust, production-grade systems. Proficient in implementing automated testing, error handling, and observability practices while coaching teams on engineering best practices.

Highest-signal resume keywords

• Full-Stack Software Development
• ReactJS/Vite Proficiency
• Python Programming
• Databricks Experience
• REST API Management

ATS Optimization Keywords

Hard Skills

• Software Development
• Automation Engineering
• Backend Engineering
• Error Handling
• Testing Practices
• Workflow Orchestration
• Code Quality
• Production-Quality Agents
• Agentic Frameworks
• LLM Chaining

Soft Skills

• Coaching
• Technical Escalation

Certifications & Qualifications

• Bachelor’s Degree in Computer Science
• Bachelor’s Degree in Software Engineering

Industry Keywords

• Automation Systems
• High-Volume Transactions
• API Connections
• Observability
• Reliability Practices

Tools & Technologies

• Databricks
• Glean
• Azure AI Foundry
• Google Tooling
• PostgreSQL