Staff Software Engineer

Who we are  At Twilio, we’re shaping the future of communications, all from the comfort of our homes.

We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day.

As we continue to revolutionize how the world interacts, we’re acquiring new.

Habilidades

and experiences that make work feel truly rewarding

Your career at Twilio is in your hands.

We use Artificial Intelligence (AI) to help make our hiring process efficient.

That said, every hiring decision is made by real Twilions!.

See yourself at Twilio Join the team as Twilio’s next Staff Software Engineer.

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the job This position is needed to harden, optimize, and scale the real-time event-aggregation services that power our Observability Insights/Analytics platform

We are seeking a Staff Software Engineer with deep Java expertise to own high-throughput stream-processing microservices (Kafka Streams / Flink) deployed on AWS EKS, tune ClickHouse for millisecond-latency writes, and embed observability that keeps incident minutes near zero.

You will design resilient, high-performance systems capable of processing >250K events/sec with p99 latencies under 200ms, while championing DevSecOps practices and mentoring junior engineers.

Responsabilidades

In this role, you’ll: Design, build, and maintain high-performance Java microservices using Spring Boot, capable of ingesting >250K events/sec with p99 < 200 ms Implement stateful stream-processing pipelines (Kafka Streams / Apache Flink) with idempotent replays, exactly-once semantics, and schema-evolution tooling Optimize ClickHouse schemas, partitioning, and materialized views to support multi-region, sub-second queries for Early Warning System (EWS) detectors Emb...