📍 Job Overview

• Job Title: Data Platform Infrastructure Engineer
• Company: Groupon
• Location: Remote - Ecuador
• Job Type: Full-Time
• Category: DevOps Engineer
• Date Posted: 2025-07-23
• Experience Level: Mid-Senior level (5-10 years)
• Remote Status: Remote OK

🚀 Role Summary

• 📝 Enhancement Note: This role is a foundational position within Groupon's Data & Discovery organization, focusing on building and maintaining a resilient, automated, and future-ready data platform across GCP and AWS. The ideal candidate will have a strong background in cloud infrastructure, data platform engineering, or DevOps, with a passion for driving innovation and continuous learning.

💻 Primary Responsibilities

• 📝 Enhancement Note: The primary responsibilities of this role revolve around designing, building, and automating scalable data infrastructure, ensuring platform reliability, security, and cost-efficiency, and collaborating with cross-functional teams to support data-driven initiatives.

• 💡 Design, build, and automate scalable data infrastructure across GCP and AWS, ensuring platform reliability, security, and cost-efficiency through robust monitoring, automation, and compliance practices.

• 🤝 Collaborate with Data Operations, Tools, and Pipeline teams to support data-driven initiatives and drive the platform forward.

• 🛠 Develop and maintain secure, scalable data pipelines and infrastructure using an infrastructure-as-code approach.

• 🌟 Champion cloud-first best practices and foster a culture of high performance, innovation, and accountability.

• 💡 Engage in our agile development process, leveraging async communication and shared ownership to support fast-paced business needs.

🎓 Skills & Qualifications

Education: A Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

Experience: 5+ years of hands-on experience in Cloud Infrastructure, Data Platform Engineering, or DevOps.

Required Skills:

• Strong expertise in cloud platforms (preferably GCP or AWS), including IAM, VPC, Storage, BigQuery, and Cloud Functions.
• Proficiency in Infrastructure as Code with Terraform.
• Good programming and scripting skills in Python and Shell.
• Deep knowledge of Big Data frameworks such as Google Dataproc, GCS Storage, BigQuery, BigTable, Hive, Spark, and Airflow.
• Excellent communication and collaboration skills, with the ability to work effectively in a globally distributed team.
• Strong sense of ownership, self-management, and a commitment to building for scale and long-term maintainability.

Preferred Skills:

• Familiarity with monitoring and observability tools like Grafana, Elasticsearch, Prometheus, or Wavefront.
• Experience implementing access controls, data encryption, and compliance standards (e.g., SOX).
• Cross-cloud expertise (strong in either AWS or GCP with a willingness to learn the other).
• Experience working with or supporting ML platforms or AI infrastructure.
• Prior experience mentoring junior engineers or contributing to team leadership.

📊 Web Portfolio & Project Requirements

📝 Enhancement Note: While a portfolio is not explicitly required for this role, demonstrating relevant projects that showcase your expertise in cloud infrastructure, data platform engineering, or DevOps can significantly strengthen your application.

Portfolio Essentials:

• 🏢 Case studies or projects that highlight your experience in designing, building, and automating scalable data infrastructure across GCP and AWS.
• 🛡️ Examples of platform reliability, security, and cost-efficiency improvements you've implemented.
• 🤝 Collaborative projects that demonstrate your ability to work effectively with cross-functional teams.
• 🛠️ Projects that showcase your proficiency in infrastructure-as-code approaches, using tools like Terraform.

Technical Documentation:

• 📝 Detailed documentation of your projects, including code quality, commenting, and version control practices.
• 📊 Performance metrics, optimization techniques, and testing methodologies used in your projects.
• 🛡️ Security and compliance considerations, including data encryption, access controls, and relevant standards (e.g., SOX).

💵 Compensation & Benefits

Salary Range: $120,000 - $180,000 per year (based on regional market rates for a Mid-Senior level DevOps Engineer role in Ecuador)

Benefits:

• 🌟 Competitive compensation and benefits package.
• 💻 Flexible work arrangements, with a remote-friendly culture.
• 📚 Opportunities for professional development, training, and growth.
• 🌐 A dynamic, globally distributed team dedicated to building a best-in-class data platform.
• 😊 A supportive, collaborative, and fast-paced work environment.

Working Hours: Full-time (40 hours per week), with flexible deployment windows and maintenance schedules as needed.

📝 Enhancement Note: The salary range provided is an estimate based on regional market rates for a Mid-Senior level DevOps Engineer role in Ecuador. Actual compensation may vary depending on factors such as experience, skills, and market conditions.

🎯 Team & Company Context

🏢 Company Culture

• 📝 Enhancement Note: Groupon is an AI-first company committed to building strong communities through thriving small businesses. They value ownership, innovation, and continuous improvement, fostering a culture that empowers employees to make a real impact.

• Industry: E-commerce and Local Services

• Company Size: Medium (1,001-5,000 employees)

• Founded: 2008

• Team Structure:

  • 🌐 A globally distributed, collaborative team of seven, working in a Kanban-style model that champions strong ownership, cross-functional collaboration, and continuous learning.
  • 🤝 Close collaboration with Data Operations, Tools, and Pipeline teams to support data-driven initiatives.

• Development Methodology:

  • 🔄 Agile development process, leveraging async communication and shared ownership.
  • 🛠️ Infrastructure-as-code approach, using tools like Terraform.
  • 📊 Data-driven decision-making and continuous improvement.

📈 Career & Growth Analysis

• 📝 Enhancement Note: This role offers significant growth opportunities, as it is a foundational position within the Data & Discovery organization. The ideal candidate will have the chance to make a lasting impact on Groupon's data ecosystem and drive the platform's future.

• Web Technology Career Level: Mid-Senior level (5-10 years of experience) DevOps Engineer, focusing on cloud infrastructure, data platform engineering, and driving innovation.

• Reporting Structure: This role reports directly to the Data & Discovery organization, working closely with cross-functional teams to support data-driven initiatives.

• Technical Impact: The successful candidate will play a critical role in building and maintaining a resilient, automated, and future-ready data platform that empowers teams to adopt an AI-driven development mindset.

🌟 Growth Opportunities:

• 🚀 Drive the evolution of Groupon's data ecosystem and shape the future of the company's data platform.
• 📚 Gain exposure to cutting-edge technologies and trends in cloud infrastructure, data platform engineering, and DevOps.
• 💡 Contribute to team leadership and mentoring, helping junior engineers develop their skills and advance their careers.
• 🏆 Achieve recognition and career advancement opportunities as the data platform grows and expands under your stewardship.

🌐 Work Environment

Office Type: Remote-friendly, with a globally distributed team working in a Kanban-style model.

Office Location(s): Remote - Ecuador

Workspace Context:

• 🌐 A collaborative, remote-friendly work environment that fosters strong ownership and cross-functional collaboration.
• 💻 Access to the necessary tools and resources to perform your job effectively, including cloud-based development environments and remote communication platforms.
• 🤝 Close collaboration with cross-functional teams, including Data Operations, Tools, and Pipeline teams, to support data-driven initiatives.

Work Schedule: Full-time (40 hours per week), with flexible deployment windows and maintenance schedules as needed.

📝 Enhancement Note: Groupon's remote-friendly work environment offers a high degree of flexibility and autonomy, allowing employees to balance their personal and professional lives effectively.

📄 Application & Technical Interview Process

📝 Enhancement Note: The application and interview process for this role will focus on assessing your technical skills, problem-solving abilities, and cultural fit within Groupon's data-driven, collaborative team environment.

Interview Process:

1. 📝 Initial screening call to assess your qualifications, experience, and cultural fit.
2. 🛠️ Technical deep dive, focusing on your expertise in cloud infrastructure, data platform engineering, and DevOps. Be prepared to discuss your experience with GCP, AWS, Terraform, and relevant Big Data frameworks.
3. 🤝 Collaborative case study or project review, showcasing your ability to work effectively with cross-functional teams and drive data-driven initiatives.
4. 🏆 Final evaluation, focusing on your long-term vision for Groupon's data platform and your potential to drive innovation and growth within the organization.

Portfolio Review Tips:

• 🏢 Highlight projects that demonstrate your expertise in designing, building, and automating scalable data infrastructure across GCP and AWS.
• 🛡️ Emphasize your commitment to platform reliability, security, and cost-efficiency, providing specific examples of improvements you've implemented.
• 🤝 Showcase your ability to collaborate effectively with cross-functional teams, driving data-driven initiatives and supporting the platform's evolution.
• 🛠️ Detail your approach to infrastructure-as-code, using tools like Terraform, and explain how you ensure long-term maintainability and scalability.

💡 Technical Challenge Preparation:

• 📝 Brush up on your knowledge of GCP and AWS services, focusing on IAM, VPC, Storage, BigQuery, and Cloud Functions.
• 🛠️ Familiarize yourself with Terraform and other infrastructure-as-code tools, ensuring you understand how to design, build, and automate scalable data infrastructure.
• 🤝 Prepare for collaborative case studies or project reviews by identifying examples of your ability to work effectively with cross-functional teams and drive data-driven initiatives.

ATS Keywords:

• 🛠️ Cloud Infrastructure
• 🛠️ Data Platform Engineering
• 🛠️ DevOps
• 🛠️ GCP
• 🛠️ AWS
• 🛠️ Infrastructure as Code
• 🛠️ Terraform
• 🛠️ Python
• 🛠️ Shell
• 🛠️ Big Data
• 🛠️ Google Dataproc
• 🛠️ BigQuery
• 🛠️ Spark
• 🛠️ Airflow
• 🛠️ Monitoring Tools
• 🛠️ Data Security
• 🛠️ Machine Learning

📝 Enhancement Note: Incorporate these relevant keywords naturally throughout your resume, portfolio, and interview responses to optimize your application for web development and server administration roles.

🛠️ Technology Stack & Web Infrastructure

🛠️ Cloud Platforms:

• 🛠️ GCP: Strong expertise in Google Cloud Platform, including IAM, VPC, Storage, BigQuery, and Cloud Functions.
• 🛠️ AWS: Familiarity with Amazon Web Services, with a willingness to learn and gain expertise in the platform.

🛠️ Infrastructure as Code:

• 🛠️ Terraform: Proficiency in using Terraform to design, build, and automate scalable data infrastructure.

🛠️ Big Data Frameworks:

• 🛠️ Google Dataproc: Experience working with Google Dataproc for processing large datasets in a cloud-based environment.
• 🛠️ BigQuery: Familiarity with BigQuery, Google's fully-managed, petabyte-scale analytics data warehouse.
• 🛠️ BigTable: Experience with BigTable, Google's wide-column NoSQL database service for large analytical and operational workloads.
• 🛠️ Hive: Familiarity with Hive, an open-source data warehousing software project built on top of Apache Hadoop for querying and managing large datasets in Hadoop.
• 🛠️ Spark: Proficiency in using Apache Spark for fast and general-purpose cluster computing.
• 🛠️ Airflow: Experience with Apache Airflow, a platform created by the community to programmatically author, schedule, and monitor workflows.

🛠️ Monitoring Tools:

• 🛠️ Grafana: Familiarity with Grafana, an open-source platform for monitoring and visualizing time series data.
• 🛠️ Elasticsearch: Experience with Elasticsearch, a distributed, open-source search and analytics engine.
• 🛠️ Prometheus: Familiarity with Prometheus, an open-source monitoring and alerting toolkit.

📝 Enhancement Note: Groupon's technology stack focuses on cloud-first best practices, leveraging a mix of GCP and AWS services, infrastructure-as-code tools, and Big Data frameworks to build and maintain a resilient, automated, and future-ready data platform.

👥 Team Culture & Values

📝 Enhancement Note: Groupon's team culture is characterized by a strong commitment to ownership, innovation, and continuous improvement. The company values collaboration, high performance, and accountability, fostering a dynamic, globally distributed team dedicated to building a best-in-class data platform.

🌟 Web Development Values:

• 🛠️ User Experience: A deep commitment to understanding and optimizing the user experience, ensuring that Groupon's data platform meets the needs of both internal teams and external customers.
• 🛠️ Performance Optimization: A relentless focus on performance optimization, driving innovation and continuous improvement in Groupon's data ecosystem.
• 🛠️ Code Quality: A commitment to writing clean, efficient, and maintainable code, ensuring that Groupon's data platform remains scalable, secure, and cost-efficient.
• 🛠️ Collaborative Development: A culture of collaboration, knowledge sharing, and continuous learning, empowering Groupon's teams to drive innovation and growth.

🤝 Collaboration Style:

• 🌐 Cross-functional integration between developers, designers, and stakeholders, fostering a collaborative and inclusive work environment.
• 🛠️ Code review culture and peer programming practices, ensuring that Groupon's data platform remains secure, reliable, and scalable.
• 📚 Knowledge sharing, technical mentoring, and continuous learning, driving personal and professional growth within the organization.

📝 Enhancement Note: Groupon's team culture is designed to empower employees to make a real impact, fostering a dynamic, collaborative, and fast-paced work environment that drives innovation and growth.

⚡️ Challenges & Growth Opportunities

📝 Enhancement Note: As a foundational member of Groupon's Data & Discovery organization, you will face a variety of technical challenges and growth opportunities, driving the evolution of the company's data ecosystem and shaping the future of the data platform.

🛠️ Technical Challenges:

• 🛠️ Scalability: Designing, building, and automating scalable data infrastructure across GCP and AWS, ensuring that Groupon's data platform can meet the demands of a growing and evolving business.
• 🛡️ Security & Compliance: Implementing robust security and compliance practices, protecting Groupon's data platform from threats and ensuring that it meets relevant industry standards and regulations.
• 📊 Performance Optimization: Identifying and addressing performance bottlenecks, optimizing Groupon's data pipelines and infrastructure for maximum efficiency and cost-effectiveness.
• 🌐 Cross-Cloud Expertise: Expanding your knowledge and expertise in both GCP and AWS, leveraging the strengths of each platform to build and maintain a resilient, automated, and future-ready data platform.

🌟 Learning & Development Opportunities:

• 📚 Deepening your expertise in cloud infrastructure, data platform engineering, and DevOps, staying up-to-date with the latest trends and best practices in the industry.
• 💡 Contributing to team leadership and mentoring, helping junior engineers develop their skills and advance their careers within Groupon's data organization.
• 🏆 Achieving recognition and career advancement opportunities as the data platform grows and expands under your stewardship, driving innovation and growth within the organization.

📝 Enhancement Note: Groupon's data ecosystem presents a unique opportunity for a motivated and driven DevOps Engineer to make a lasting impact, driving the platform's evolution and shaping the future of the company's data infrastructure.

💡 Interview Preparation

📝 Enhancement Note: To prepare for your interview, focus on demonstrating your technical expertise, problem-solving abilities, and cultural fit within Groupon's data-driven, collaborative team environment.

💡 Technical Questions:

• 🛠️ Cloud Infrastructure: Be prepared to discuss your experience with GCP and AWS, focusing on IAM, VPC, Storage, BigQuery, and Cloud Functions. Highlight your proficiency in designing, building, and automating scalable data infrastructure across both platforms.
• 🛠️ Infrastructure as Code: Demonstrate your expertise in Terraform, explaining how you use it to design, build, and automate scalable data infrastructure. Discuss your approach to ensuring long-term maintainability and scalability.
• 🛠️ Big Data Frameworks: Showcase your deep knowledge of Big Data frameworks such as Google Dataproc, BigQuery, BigTable, Hive, Spark, and Airflow. Explain how you've leveraged these tools to drive innovation and growth in previous roles.
• 🛠️ Monitoring Tools: Familiarize yourself with monitoring and observability tools like Grafana, Elasticsearch, and Prometheus. Discuss your experience implementing these tools to ensure platform reliability, security, and cost-efficiency.
• 🛠️ Data Security: Be prepared to discuss your approach to data security, including access controls, data encryption, and compliance standards (e.g., SOX). Explain how you've ensured the security and integrity of data platforms in previous roles.

🤝 Company & Culture Questions:

• 🌟 Company Culture: Research Groupon's company culture, values, and mission. Be prepared to discuss how your personal values and career goals align with the company's commitment to ownership, innovation, and continuous improvement.
• 🛠️ Web Development Methodology: Familiarize yourself with Groupon's agile development process, leveraging async communication and shared ownership. Discuss your experience working in an agile environment and driving data-driven initiatives.
• 📊 User Experience Impact: Prepare to discuss your approach to understanding and optimizing the user experience, ensuring that Groupon's data platform meets the needs of both internal teams and external customers.

📝 Portfolio Presentation Strategy:

• 🏢 Live Website Demonstration: Prepare a live demonstration of your portfolio, showcasing your expertise in designing, building, and automating scalable data infrastructure across GCP and AWS.
• 🛠️ Code Explanation: Be ready to explain your code, highlighting your approach to platform reliability, security, and cost-efficiency. Demonstrate your ability to write clean, efficient, and maintainable code.
• 📊 Performance Optimization: Showcase your commitment to performance optimization, providing specific examples of improvements you've implemented in previous projects.
• 🤝 Collaboration & Communication: Prepare to discuss your experience working with cross-functional teams, driving data-driven initiatives, and fostering a collaborative and inclusive work environment.

📝 Enhancement Note: Tailor your interview preparation to Groupon's data-driven, collaborative team environment, focusing on your technical expertise, problem-solving abilities, and cultural fit within the organization.

📌 Application Steps

To apply for this Data Platform Infrastructure Engineer position at Groupon:

1. 📝 Portfolio Customization: Tailor your portfolio to highlight your expertise in designing, building, and automating scalable data infrastructure across GCP and AWS. Include specific examples of platform reliability, security, and cost-efficiency improvements you've implemented.
2. 📝 Resume Optimization: Optimize your resume for web development and server administration roles, incorporating relevant keywords and emphasizing your experience with cloud infrastructure, data platform engineering, and DevOps. Highlight your proficiency in GCP, AWS, Terraform, and relevant Big Data frameworks.
3. 📝 Technical Interview Preparation: Brush up on your knowledge of GCP and AWS services, focusing on IAM, VPC, Storage, BigQuery, and Cloud Functions. Familiarize yourself with Terraform and other infrastructure-as-code tools, ensuring you understand how to design, build, and automate scalable data infrastructure. Prepare for collaborative case studies or project reviews by identifying examples of your ability to work effectively with cross-functional teams and drive data-driven initiatives.
4. 📝 Company Research: Research Groupon's company culture, values, and mission. Prepare to discuss how your personal values and career goals align with the company's commitment to ownership, innovation, and continuous improvement. Familiarize yourself with Groupon's agile development process, leveraging async communication and shared ownership.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.