Fullstack Engineer Python, Java & React
In All Media LLC
Pay not stated in the posting
%LABEL_MULTIPLE_LOCATIONS% Β· Remote
Found 3 days ago Β· Confirmed live 4 hours ago
Skills this job asks for
- Apache Airflow
- Apache Kafka
- Data Lake
- Distributed Tracing
- Feature Store
- Java
- Microservices
- MLOps
- Python
- React
- AI & ML
- AWS
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At a glance
- Type
- Full-time
- Level
- Senior
- Experience
- 5+ years
- Work model
- Remote
- Schedule
- Not stated
- Education
- Not stated
- Benefits
- Not stated
- Team
- Engineering
Description
π 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)
π§ 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.
π 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.
π 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.
π‘ 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.
π 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).
π 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.
π¬ Language All interviews, technical documentation, daily team syncs, and operational communications will be conducted in English.
About In All Media LLC
In All Media LLC