AI‑Native Platform Engineer – Media Analytics

Requirements

• 7+ years of hands-on experience building and operating distributed systems, backend services, or large-scale data platforms.
• Strong experience with event streaming and messaging systems (Kafka, Kafka Streams, Flink, Kinesis, or similar).
• Experience building data pipelines using Spark, Databricks, Flink, or comparable technologies.
• Solid understanding of operating production systems: Kubernetes, CI/CD, monitoring, alerting, and incident response.
• Experience designing and operating scalable REST services.
• Strong engineering fundamentals (Java preferred; Python familiarity a plus).
• A pragmatic approach focusing on correctness, performance, reliability, and cost.

Nice to Have

• Scala experience.
• Strong observability background (Prometheus, Grafana, Splunk, Fluentbit).
• Experience operating systems during high-traffic or event-driven spikes.
• Prior exposure to AI-assisted features, LLM APIs, or AI-powered services in production.
• Familiarity with monitoring AI/ML systems (telemetry, drift, performance signals).

What You'll Do

• Build and operate cloud-native, distributed information and application platforms that power analytics and AI-assisted features at scale.
• Design and evolve event-driven and streaming architectures (Kafka-based and similar) that remain reliable under peak traffic and failure conditions.
• Translate product and business requirements into robust, production-ready systems, not prototypes.
• Improve existing architectures by identifying operational risks, performance bottlenecks, and cost inefficiencies.
• Contribute across the full lifecycle: design, implementation, code review, testing, deployment, monitoring, and on-call.
• Participate in an on-call rotation and help improve incident response, observability, and system resilience.
• Enable AI-assisted experiences by incorporating AI/ML functionalities on top of strong data and platform foundations.
• Mentor other engineers and help raise the technical bar across the team.

Perks and Benefits

• N/A