In this role, you’ll:

📍Design and lead delivery of new platform capabilities that serve mission‑critical investigations and monitoring workflows. 📍Operate services that ingest, transform, and serve hundreds of terabytes of data with clear SLOs for latency, freshness, and availability. 📍Improve the scalability, performance, and cost efficiency of our data plane and APIs. 📍Raise the quality bar across reliability, security, and compliance for both cloud and on‑premises deployments. 📍Mentor engineers across teams and influence technical strategy beyond your immediate group. 📍Own and evolve backend services powering customer‑facing APIs, usage/billing, alerting, and data observability. 📍Lead team and cross-team initiatives end‑to‑end: discovery, architecture, implementation, rollout, and post‑launch learning. 📍Architect event‑driven and streaming workflows (e.g., Kafka) with strong data contracts and schema evolution. 📍Drive operational excellence: SLOs, runbooks, on‑call, incident reviews, and capacity plans for high‑QPS systems. 📍Partner with product, data engineering/science, and security to translate customer requirements into durable systems.

We’re looking for candidates who have:

📍Expert backend engineering experience building cloud‑hosted services and data pipelines on AWS or GCP (bonus: both). 📍Deep proficiency with APIs, streaming systems, and distributed systems (e.g., microservices on Kubernetes). 📍Demonstrated ownership of systems operating at scale (hundreds to thousands of RPS; TB–PB data volumes). 📍High judgment on reliability, security, and cost, with a track record of measurable improvements. 📍Ability to lead without authority—mentoring, design reviews, and cross‑org influence.

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