Platform Engineer - Fully Remote

Swoon; United States; On-site; USD 140,000 - 180,000; Full time

Job summary

Swoon is seeking a Lead Platform Engineer to oversee the architecture, development, and ongoing management of enterprise platforms supporting AI, Microsoft Fabric, DevOps, and workflow automation. The role drives platform improvements, scalable solutions, and client onboarding across multiple environments.

The ideal candidate brings hands-on experience with cloud platforms, DevOps tools, AI technologies, and enterprise workflow solutions, with strong communication and leadership skills to mentor

Qualifications

• 5+ years of experience in platform engineering or related technical roles.
• Knowledge of Salesforce administration or development coordination.
• Experience with Microsoft Fabric or Azure Data Factory, Synapse, Databricks.
• Experience supporting AI/LLM solutions, prompt engineering, and workflow automation.
• Strong communication and cross-functional collaboration.
• Ability to manage multiple priorities independently.

Responsibilities

• Lead the administration and optimization of Azure DevOps environments, including pipelines, governance, and reporting.
• Coordinate Salesforce enhancements, requirements gathering, testing, and deployments.
• Develop AI-powered solutions, prompt workflows, and automation using Claude, OpenAI, and similar technologies.
• Support Microsoft Fabric implementations, client onboarding, and data integration.
• Partner with analytics teams on Power BI architecture, data models, and reporting solutions.
• Improve workflows across Salesforce and other enterprise platforms.
• Maintain technical documentation, platform standards, and operational processes.
• Provide technical leadership, evaluate emerging technologies, and mentor team members.

Skills

Platform engineering

DevOps

Cloud operations

Salesforce admin

AI/LLM solutions

Communication

Project management

Tools

Azure DevOps

Salesforce

Microsoft Fabric

Azure Data Factory

Synapse

Databricks

Power BI

Job description

Employment Type: 6-Month Contract (Potential for Full-Time Conversion)

Schedule: 40 Hours/Week

About the Company

Our client is a leading global professional services firm that partners with organizations across industries to drive business transformation, improve operational performance, and implement innovative technology solutions. With a strong focus on digital transformation, data, and emerging technologies, the organization helps clients navigate complex challenges and modernize their business operations.

Position Overview

We are seeking a Lead Platform Engineer to oversee the architecture, development, and ongoing management of enterprise platforms supporting AI, Microsoft Fabric, DevOps, and workflow automation.

This role will drive platform improvements, implement scalable technology solutions, and support internal operations across multiple client environments. The ideal candidate brings hands‑on experience with cloud platforms, DevOps tools, AI technologies, and enterprise workflow solutions.

Key Responsibilities

• Lead the administration and optimization of Azure DevOps environments, including pipelines, governance, and reporting.
• Coordinate Salesforce enhancements, requirements gathering, testing, and deployments.
• Develop AI‑powered solutions, prompt workflows, and automation using Claude, OpenAI, and similar technologies.
• Support Microsoft Fabric implementations, client onboarding, and data integration.
• Partner with analytics teams on Power BI architecture, data models, and reporting solutions.
• Improve workflows across Salesforce and other enterprise platforms.
• Maintain technical documentation, platform standards, and operational processes.
• Provide technical leadership, evaluate emerging technologies, and mentor team members.

Required Qualifications

• 5+ years of experience in platform engineering, DevOps, cloud operations, or a related technical role.
• Working knowledge of Salesforce administration or development coordination.
• Experience with Microsoft Fabric or comparable platforms such as Azure Data Factory, Synapse, or Databricks.
• Experience supporting AI/LLM solutions, prompt engineering, and workflow automation.
• Strong communication, problem-solving, and cross-functional collaboration skills.
• Ability to independently manage multiple priorities and projects.

Preferred Qualifications

• Consulting, professional services, or Managed Services experience.
• Microsoft certifications in Azure, Fabric, or Power Platform.
• Familiarity with Salesforce Flows and workflow automation.
• Experience with enterprise AI implementation, governance, and Power BI reporting.