We are looking for Backend Engineers with 1-3 years of production experience shipping and supporting backend code. You will be a part of our team, owning the real-time ingestion and analytics layer that powers customer-facing dashboards, trading tools, and research.

Responsibilities

Design, build, and scale streaming workflows that move and process multi-terabyte (and rapidly growing) datasets.
Guarantee end-to-end reliability by owning performance, fault-tolerance, and cost efficiency from source to sink.
Instrument every job with tracing, structured logs, and Prometheus metrics so every job tells you how it's doing.
Publish Grafana dashboards and alerts for latency, throughput, and failure rates; act on them before users notice.
Partner with DevOps to containerize workloads and automate deployments.
Automate reconciliation checks, confirm completeness, and replay late or corrected records to maintain pristine datasets.
Collaborate with stakeholders to verify data completeness, run automated reconciliation checks, and re-process late or corrected data.

Requirements

Proficient in Rust - comfortable with ownership, borrowing, async/await, cargo tooling, and profiling/optimisation.
Stream-processing - have built or maintained high-throughput pipelines on NATS (ideal) or Kafka.
Deep systems engineering skills - you think about concurrency models, memory footprints, network I/O, back-pressure, and graceful degradation; can instrument code with tracing, metrics, and logs.
ClickHouse (or similar OLAP) - able to design MergeTree tables, reason about partitions / order-by keys, and optimise bulk inserts.
Cloud- have deployed containerised workloads on AWS or GCP, wired up CI/CD, and tuned instance types or autoscaling groups.
Nice-to-have - exposure to blockchain or high-volume financial data streams.

This job was posted by Akshay Singh from Yugen.ai.

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