[Hiring] Fullstack Engineer @In All Media

Role Description

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.

Qualifications

• 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.