Groupon
Groupon is a platform that connects businesses with customers by offering deals and discounts on various services and products. It aims to revolutionize the way businesses market to and engage with their audience, emphasizing innovation, technology, and performance-driven culture. Groupon promotes a work environment that values agility, merit, and direct communication, fostering a culture where employees can make impactful decisions and significantly contribute to the company's transformation.
technology • local commerce • social media • marketing • community
Software Development Engineer II
February 25
Airflow
AWS
Azure
Cloud
ETL
Google Cloud Platform
Grafana
Kubernetes
Node.js
Prometheus
Python
Shell Scripting
Splunk
Terraform
Groupon
Groupon is a platform that connects businesses with customers by offering deals and discounts on various services and products. It aims to revolutionize the way businesses market to and engage with their audience, emphasizing innovation, technology, and performance-driven culture. Groupon promotes a work environment that values agility, merit, and direct communication, fostering a culture where employees can make impactful decisions and significantly contribute to the company's transformation.
technology • local commerce • social media • marketing • community
📋 Description
• Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive. • Join our Platform Reliability Engineering Team, where you'll play a crucial role in supporting and optimizing our global data pipelines. • Provide L1 support for 500+ data pipelines, including Revenue Management Pipelines. • Develop and maintain infrastructure, automation, and monitoring tools to reduce manual efforts and improve incident response times. • Migrate and support Keboola pipelines while integrating new technologies to improve platform reliability. • Collaborate with Data Engineering, Cloud Support, Infrastructure, Finance Engineering, Product Teams, and external partners. • Work in rotational shifts to ensure continuous system reliability and operations. • Monitor & troubleshoot global data pipelines, ensuring quick incident acknowledgment and resolution within SLAs. • Automate observability, monitoring, and operational tasks for improved efficiency. • Maintain infrastructure supporting large-scale data pipelines. • Lead migrations to modern platforms like Keboola. • Work cross-functionally with Networking, Security, and Engineering teams to enhance platform reliability.
🎯 Requirements
• Strong Software Engineering background with expertise in automation & DevOps. • Hands-on experience in Data Engineering, managing large-scale data pipelines. • Proficiency in cloud platforms (GCP preferred; AWS/Azure is a plus). • Knowledge of Infrastructure as Code (IaC) tools such as Kubernetes, Terraform. • Experience with monitoring & alerting tools (Prometheus, Grafana, Splunk, ELK, etc.). • Strong Python, Shell Scripting, or other programming language skills. • Familiarity with ETL tools, Airflow, Keboola, or similar data platforms. • Strong problem-solving and troubleshooting skills. • Ability to collaborate in a fast-paced, cross-functional environment. • Good understanding of incident management processes and SLAs. • Strong analytical skills for log analysis, alerts, and system metrics. • Excellent communication skills to interact with internal and external stakeholders.
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🇧🇷 Brazil – Remote
💰 $5.4M Venture Round on 2021-12
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer
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