Oversee end-to-end operational integrity of cloud-based POS platforms, IoT devices, RFID dispensing systems, and smart beverage/coffee technologies by implementing advanced monitoring, alerting, and diagnostic workflows.
Develop automated data pipelines using Python, SQL, ETL frameworks, and Airflow to streamline reporting, operational intelligence, and multi-system data synchronization.
Conduct root-cause analysis for system irregularities using log analytics, real-time dashboards, and anomaly detection algorithms.
Design and implement operational playbooks and SLAs for incident management, system maintenance, data governance, and technology upgrades.
Optimize network and endpoint performance across tablets, scanners, sensors, and edge devices using network performance monitoring and basic configuration management.
Collaborate with operations leadership to drive continuous process improvement supported by data modeling, KPI dashboards (Power BI / Tableau), and predictive analytics.
Maintain and improve cloud workloads (AWS S3, IAM, Lambda, CloudWatch) including serverless automation, permission hardening, and performance checks.
Support website and digital infrastructure through content management, security scanning, SEO optimizations, and integration management across WordPress, Wix, and Squarespace.
Configure webhooks, API integrations, and automation scripts to synchronize POS, IoT, and operations data across multiple platforms.
Document technical workflows, and provide multidisciplinary support for both IT operations and data-driven initiatives.
Technical Skills
Python
SQL / MySQL / PostgreSQL
AWS (S3, IAM, Lambda, CloudWatch), Azure basics
ETL & Workflow Tools: Apache Airflow, AWS Glue
Docker for automation and micro-utility workloads
Power BI, Tableau, Grafana
Git, GitHub/GitLab
GoTab, Toast, Clover, Square
IoT Technologies: Smart Bar Machines, Smart Café Machines, Pour My Beer tap wall systems
WordPress, Wix, Squarespace
API & Integration: REST APIs, Webhooks, JSON data exchange
Required Qualifications
Bachelor’s or Master’s degree in Information Technology, Data Analytics, Computer Science, Information Systems, or a related technical field.
0–4 years of experience in IT operations, data analytics, or cloud-based technical support.
Hands-on experience working with Python, SQL, and ETL/automation workflows.
Experience supporting POS systems, IoT devices, or cloud-connected smart technologies.
Background in troubleshooting networks, endpoints, and device ecosystems in fast-paced environments.
Experience building dashboards, monitoring workflows, or data-driven reporting systems.
Exposure to AWS services, CMS platforms, and API/webhook integrations.
Preferred Skills
Experience with Airflow, AWS Glue, or advanced ETL pipeline automation.
Knowledge of Kubernetes, CI/CD pipelines, or containerized environments.
Familiarity with Snowflake, Redshift, or other modern data warehousing platforms.
Experience with observability and monitoring tools (Prometheus, OpenSearch).
Exposure to automation platforms (Zapier, Make.com) for system integrations.
Background supporting restaurant, hospitality, or retail technology ecosystems.