Application Support Engineer
FMI
full-time
Posted on:
Location Type: Hybrid
Location: Tampa • Florida • United States
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About the role
- Manage and develop API integrations across platforms such as Salesforce, Cvent, HubSpot, and NetSuite, ensuring data consistency and seamless automation
- Design, implement, and maintain workflow automations using scripting languages (preferably Python) and no-code tools such as Zapier
- Maintain AWS cloud infrastructure, including EC2 instances, VPCs, IAM, RDS, security groups, and storage solutions, ensuring security and scalability
- Manage on-premises servers using Proxmox to run services and virtualized environments
- Monitor application events alerts, job schedules, capacity monitors, and performance KPIs
- Create and own change requests raised to address any of the above issues
- Manage and configure Linux-based systems and leverage bash scripting for system automation and process optimization
- Utilize Apache Airflow for orchestration and scheduling of automated workflows across business systems
- Handle escalated support cases that require engineering-level troubleshooting and solutions
- Collaborate with the Application Support Manager and Analysts to translate business requirements into technical solutions
- Proactively share knowledge with the team and update the knowledge base with support documentation (e.g., Confluence)
- Implement and maintain dbt (data build tool) workflows to manage transformations and data pipelines
- Collaborate with data teams to ensure smooth development workflows using Git and GitHub for version control and code collaboration
- Manage and optimize GitHub repositories, ensuring proper documentation, branch management, and code reviews for business systems projects
- Optimize system performance through automation, custom scripts, and server management
- Implement data migration strategies and cloud/on-prem storage solutions for scalable business systems
- Ensure all systems and integrations adhere to data security policies and industry best practices
- Document technical workflows, processes, and configurations for internal and external stakeholders
- Work with third-party vendors and internal teams to support system enhancements, upgrades, and performance improvements
Requirements
- B.S. or B.A. in Computer Science, Information Systems, Engineering, or related field
- 24 months previous experience as a data analyst with focus in integrations, cloud services (AWS/GCP/Azure), and process automation
- Proficiency in API management and integration, including RESTful and SOAP APIs
- Strong knowledge of AWS cloud services, including EC2, RDS, VPCs, IAM, and security protocols
- Hands-on experience with Python for workflow automation and scripting
- Strong knowledge of Windows/Linux operating systems for managing servers and services
- Experience with Apache Airflow for task orchestration and scheduling
- Advanced proficiency in SQL for querying, updating, and maintaining data in relational databases
- Proficiency in using Git and GitHub for version control, branching, and code collaboration
- Strong understanding of version control best practices, including branch management, pull requests, and repository management
- Strong problem-solving and debugging skills, with the ability to handle complex escalated issues
- Experience in system architecture, data flows, and ensuring system reliability and scalability
- Strong understanding of data security and compliance practices (e.g., encryption, access controls)
Benefits
- Paid employee medical insurance
- Life insurance
- Long-term disability
- 401(k) plan
- Paid time off
- Parental leave benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
API managementPythonAWSSQLApache AirflowLinuxGitGitHubdbtscripting
Soft Skills
problem-solvingdebuggingcollaborationknowledge sharingdocumentation
Certifications
B.S. in Computer ScienceB.A. in Information SystemsB.S. in Engineering