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Open nowPosted 7 hours ago

Fullstack Engineer (2134) Python, Java & React

In All Media Inc77 open roles

Where
Colombia, Remote
Work mode
Remote
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Your applicationOpen nowFullstack Engineer (2134) Python, Java & ReactIn All Media Inc · Colombia, Remote
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The clock on this job

Early applications get read.

12.4% of postings close within 7 days. Measured by our own scanner across the market. In All Media Inc postings stay open a median of 23 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: posted 7 hours ago

In All Media Inc median: 23 days open

The posting

📌 Position: Senior Full Stack Developer (Python, Java & React) Location: Remote from LATAM Contract Type: Full-time vendor (Contract directly with In All Media) Time Zone Alignment: US Central Time (CT) overlap (6+ hours)

🧭 About In All Media In All Media 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. Contract Details: This is a 100% remote contractor position open to talent anywhere in LATAM. Your contract and engagement will be directly managed with In All Media.

🚀 Project Overview In this role, you will partner with an engineering team supporting a global leader in recruitment, matching technology, and high-scale job search platforms. The initiative focuses on building, maintaining, and scaling modern, data-intensive microservices and web applications that power core enterprise matching and platform workflows. Operating within industry-standard enterprise compliance and secure cloud workspace environments, you will bridge traditional full-stack product development with high-volume data ecosystems, ensuring reliability, low-latency execution, and continuous automation within a mature Agile environment.

🔍 Key Responsibilities

  • Fullstack Development: Design, build, and maintain scalable frontend and backend services along with automated workflows, utilizing Java as the core backend language, Python, microservices architecture, and React for modern UI/UX.
  • Cross-Disciplinary Bridge: Bridge the gap between core software engineering and data engineering practices to support robust, high-performance platform systems.
  • Agile Execution & Backlog Delivery: Participate actively in an Agile/Scrum sprint lifecycle, driving delivery and ticket progression via Jira backlogs.
  • Data-Intensive Engineering: Deliver reliable, high-availability services and performance optimizations within complex, rapidly evolving data environments.
  • Team Collaboration & Code Quality: Collaborate cross-functionally across distributed engineering teams, actively participating in code reviews, design discussions, and system debugging.

💡 Must-Have Skills

  • Experience Level: 5+ years of hands-on professional software engineering experience working on enterprise-grade web applications.
  • Backend & Microservices: Strong backend expertise with Java as the primary language, supplemented by Python and distributed microservices architectures.
  • Frontend Engineering: Demonstrated proficiency in React and modern frontend web standards (UI/UX).
  • System Design & Optimization: Strong understanding of scalable data architecture, performance profiling, and optimization techniques.
  • Debugging & Architecture: Advanced troubleshooting and debugging skills with practical, production-level architectural judgment.
  • Environment & Connectivity (Mandatory Compliance): Ability to work within an enterprise-provisioned Virtual Desktop Infrastructure / Cloud WorkSpace (AWS WorkSpaces). Candidates must verify reliable network latency/connectivity to an AWS WorkSpace region by completing the official health check and submitting a screenshot of successful results alongside their profile submission.

🌟 Nice-to-Have Skills

  • Event Streaming & Orchestration: Hands-on experience with Apache Kafka, Apache Airflow, data lakes, or enterprise data warehouse ecosystems.
  • AI & Machine Learning Ecosystems: Familiarity with MLOps (Machine Learning Operations), feature stores, or AI platform integrations.
  • Cloud & Observability: Direct experience with AWS-native cloud services (Amazon Web Services) and enterprise observability/monitoring tooling (such as APM, distributed tracing, metrics, and centralized logging).

🌐 Time Zone & Collaboration This role requires a minimum overlap of 6 hours with US Central Time (CT) business hours during a standard 8-hour workday to collaborate effectively with distributed engineering teams.

💬 Language All interviews, technical documentation, daily team syncs, and operational communications will be conducted in English.

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