Role Description 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. 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. Qualifications - 3+ years of professional software engineering experience centered heavily on backend JVM architectures. - Strong production engineering experience in Java (as the primary language) paired with a demonstrated comfort navigating and contributing to Kotlin codebases. - Direct hands-on experience deploying services using Spring Boot and managing large-scale data sweeps via Spring Batch (or equivalent batch frameworks). - Solid fundamentals in REST API design alongside practical experience building or consuming GraphQL APIs. - Demonstrated ability to speak credibly and practically about using AI coding assistants (e.g., Copilot, Cursor) in real-world environments. - Clear understanding of relational/NoSQL databases, asynchronous messaging layers (such as Kafka), and general distributed systems concepts. - Experience working efficiently within Agile teams and 100% remote environments. - Excellent verbal and written communication skills for daily technical collaboration in English. Nice-to-Have Skills - Past exposure operating systems managing high-volume scaling demands (millions of requests per day). - Familiarity with distributed API graphs using Apollo Federation or equivalent frameworks. - Experience tracking system performance metrics via tools like Datadog, OpenTelemetry, or Prometheus. - 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.