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Open nowPosted 122 days ago

1966 Senior Java Backend Engineer

inallmedia-llc73 open roles

Where
Brazil, Remote
Work mode
Remote
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Your applicationOpen now1966 Senior Java Backend Engineerinallmedia-llc · Brazil, Remote

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This job: posted 122 days ago

The posting

📌 Position: Senior Backend Engineer (Java)

  • Location: Remote from LATAM
  • Contract Type: Full-time vendor (Contracted directly via https://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 a high-impact engineering squad focused on building and scaling core backend systems that power web experiences for hundreds of millions of global job seekers and employer accounts.

The project bridges data-heavy scheduled processing with immediate, real-time consumer querying. It demands a Senior Engineer who can operate with high autonomy to solve moderately complex, highly distributed data problems without needing close day-to-day supervision.

The Technical Horizon (AI Hybridization): This engineering organization is aggressively moving past traditional development models by natively embedding AI coding assistants into the core engineering culture. The goal is to maximize developer velocity, meaning you will be expected to combine automated generative speed with strict, human-in-the-loop engineering judgment.

🔍 Key Responsibilities

  • Design & Scale Distributed Systems: Architect, build, and optimize core backend systems capable of managing massive, real-time consumer queries and heavy data processing.
  • Autonomous Problem Solving: Drive the resolution of complex distributed data challenges with general independence, taking ownership from concept to deployment.
  • Leverage AI-Driven Development: Embrace and natively embed AI coding assistants into your daily workflow to maximize velocity, while maintaining strict human-in-the-loop judgment over code quality.
  • Collaborate & Review: Participate in architectural discussions, technical grooming, and rigorous code reviews to maintain high engineering standards across Java and Kotlin codebases.
  • Data & Batch Management: Design and maintain robust data pipelines and batch processing jobs to ensure seamless data sweeps and system reliability.

💡 Must-Have Skills

  • Tenure Baseline: 3+ years of professional software engineering experience centered heavily on backend JVM architectures.
  • Language Dual-Fluency: Strong production engineering experience in Java (as the primary language) paired with a demonstrated comfort navigating and contributing to Kotlin codebases.
  • Framework Mastery: Direct hands-on experience deploying services using Spring Boot and managing large-scale data sweeps via Spring Batch (or equivalent batch frameworks).
  • Modern API Literacy: Solid fundamentals in REST API design alongside practical experience building or consuming GraphQL APIs.
  • Practical LLM Workflow Integration: Demonstrated ability to speak credibly and practically about using AI coding assistants (e.g., Copilot, Cursor) in real-world environments—proving how you leverage AI tools to improve velocity, validate logic, and apply sharp engineering judgment over blind code acceptance.
  • Core Infrastructure Foundations: Clear understanding of relational/NoSQL databases, asynchronous messaging layers (such as Kafka), and general distributed systems concepts.
  • Remote & Agile Mindset: Experience working efficiently within Agile teams and 100% remote environments.
  • Fluent English: Excellent verbal and written communication skills for daily technical collaboration.

🌟 Nice-to-Have Skills

  • Large-Scale Traffic Experience: Past exposure operating systems managing high-volume scaling demands (millions of requests per day).
  • Advanced Graph Architecture: Familiarity with distributed API graphs using Apollo Federation or equivalent frameworks.
  • Telemetry & Observability: Experience tracking system performance metrics via tools like Datadog, OpenTelemetry, or Prometheus.
  • Cloud & DevOps Literacy: Exposure to containerization (Docker, Kubernetes), CI/CD build pipelines, and cloud-native environments.

🌐 Time Zone & Collaboration

The role requires close collaboration with teams aligned to EST (US Eastern Time). A flexible overlap of a few hours with North American teams is expected to ensure smooth synchronous alignment.

💬 Language

All interviews, technical documentation, and daily communication will be conducted entirely in English.

#LI

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