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AI Summary
📌 Position: Senior Backend Engineer (Data & Experimentation)
Location: Remote from LATAM
Contract Type: Full-time vendor (via Inallmedia.com)
Time Zone Alignment: EST ±2 hours
🧭 About Inallmedia.com
Inallmedia.com is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams across LATAM. We partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.
🚀 Project Overview
You will join the Experimentation Platform team, the backbone of data-driven decision-making for a global leader. This team provides the foundational tools used across the entire organization to run A/B tests and validate new features.
As a Senior Engineer, you will be a key player in the Central Exposure Dataset initiative. This project is critical as it establishes the "source of truth" for experiment analysis—identifying exactly which users were exposed to which features. Your challenge will be handling User Sessions at scale, managing massive data volumes to move from fragmented data to a consolidated, high-performance index. Your work will ensure data scientists and analysts have reliable data without exceeding compute budgets.
🔍 Key Responsibilities
- Architect & Implement: Design and develop high-performance data processing pipelines to manage the Central Exposure Dataset using Java.
- Scale Data Workflows: Build and maintain distributed systems capable of processing massive amounts of "User Session" data efficiently.
- Optimize Resources: Identify bottlenecks and perform deep-dive performance tuning to optimize compute resources and manage infrastructure costs.
- Collaborate & Innovate: Work closely with data scientists and analysts to translate complex experimentation needs into robust technical solutions.
- Maintain Excellence: Participate in architectural discussions and rigorous code reviews to ensure clean, maintainable, and well-tested codebases.
💡 Must-Have Skills
- Senior Expertise: 6+ years of professional software engineering experience, with a focus on backend or data-intensive applications.
- Java Mastery: Strong, production-level experience in Java (Spring Boot or similar frameworks).
- Big Data Power: Hands-on expertise with Apache Spark for large-scale data processing.
- Distributed Systems: Solid understanding of distributed systems architecture and complex data processing workflows.
- Efficiency Mindset: Proven ability to debug and optimize resource consumption in high-scale environments.
- Remote Pro: Experience working in Agile teams and distributed remote environments.
- Communication: Fluent English (written and spoken) for daily technical collaboration.
🌟 Nice-to-Have Skills
- Cloud Infrastructure: Familiarity with Amazon EMR (Elastic MapReduce) or similar cloud-based big data environments.
- Domain Knowledge: Understanding of A/B testing methodologies, user cohorts, or exposure datasets.
- DevOps Culture: Familiarity with CI/CD pipelines and monitoring tools for data workflows.
🌐 Location & Time Zone
The role is 100% remote for candidates based in LATAM. This position requires collaboration with teams aligned to Central Time (CST). A minimum overlap of 6 hours with the US business day is expected.
💬 Language
All interviews, technical documentation, and daily stand-ups will be conducted exclusively in English.
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