Key Facts

Remote From:

Brazil , Colombia , Argentina , Peru , Mexico

Full time

Senior (5-10 years)

English

Hard Skills

Other Skills

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Communication
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Virtual Collaboration
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Teamwork

Roles & Responsibilities

6+ years of professional software engineering experience, with a focus on backend or data-intensive applications
Strong production-level Java experience (Spring Boot or similar frameworks)
Hands-on experience with Apache Spark for large-scale data processing
Solid understanding of distributed systems architecture and complex data processing workflows

Requirements:

Architect and implement high-performance data processing pipelines to manage the Central Exposure Dataset using Java
Scale data workflows by building and maintaining distributed systems capable of processing massive amounts of User Session data efficiently
Identify bottlenecks and perform deep-dive performance tuning to optimize compute resources and manage infrastructure costs
Collaborate with data scientists and analysts to translate complex experimentation needs into robust technical solutions

In All Media

About In All Media

In All Media is a trailblazing Nearshore Managed Service Provider, laser-focused on Team Augmentation for software development. We craft bespoke, highly specialized teams that effortlessly merge with our client's processes and culture, delivering unparalleled results. Our Austin headquarters anchors our global reach, with a diverse talent pool distributed across the Americas, Europe, and Asia. This allows us to execute our Nearshore model efficiently in all three regions. Since our inception, we have employed an agile, remote, and distributed model, allowing us to tap into the world's finest technical talent, regardless of location, adapting methodologies like SAFe to perfectly align with our client's needs. We source our exceptional talent from Coderfull, our exclusive community boasting over 5,000 rigorously vetted engineers. Our teams are formed and trained within this community, with specialized interest groups focusing on cutting-edge technologies making In All Media a true Community Lead Enterprise. Our Community teams have a proven track record of collaboration, in-depth knowledge of each other's strengths, and exceptional team dynamics. This synergy results in rapid onboarding, heightened productivity, and an unwavering commitment to success. Our teams embrace flexibility and benefit from a thriving community spirit, abundant career growth opportunities, and a stable compensation model. Our proprietary Community Management platform streamlines talent management, empowering them to efficiently handle daily work, career development, and administrative tasks. AI has captivated our community with its potential to revolutionize our industry so we are harnessing AI to augment, not replace, human skills investing heavily in AI tools, training, and partnerships, to increase our team’s productivity and guide our clients toward a future-ready AI adoption strategy. Experience the In All Media difference today.

Founded: 2018

Company size: 1001 - 5000

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Job description

📌 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.