Site Reliability Engineer Data and Observability Platform

Crypto market-making, proprietary-trading, and Web3 venture-investment firm.

Hong Kong, Hong Kong; London, United Kingdom
About Pulsar

Pulsar is a Hong Kong-founded crypto-native trading firm established in 2014. It provides market-making and proprietary trading across spot, perpetual, and options markets, operates across 80+ exchanges and 650+ digital assets, and also invests in digital-asset infrastructure through Pulsar Ventures.

View jobs by Pulsar

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own end-to-end platform observability, build actionable dashboards and alerts, and operate production systems. You will ship changes through CI/CD and GitOps, manage Kubernetes streaming workloads and AWS infrastructure, and participate in on-call. You will also build near-real-time telemetry pipelines, implement data-quality checks, optimize OLAP tables, and write SQL for dashboards and analytics.

Requirements

  • University degree in Computer Science, Software Engineering, or a related discipline
  • At least 4–7 years of relevant work experience
  • Production observability and monitoring experience
  • CI/CD delivery experience
  • Production experience with a distributed stream-processing engine
  • Experience designing OLAP or columnar database tables and tuning queries
  • Kubernetes working knowledge
  • Strong programming skills in Python, Scala, Java, or Rust
  • Fluent analytical SQL
  • Ability to troubleshoot production systems methodically

Responsibilities

  • Own end-to-end platform observability
  • Build actionable Grafana dashboards and alerts
  • Diagnose production failures, recover missed data, and prevent recurrence
  • Ship changes through CI/CD and GitOps
  • Operate streaming workloads on Kubernetes EKS
  • Provision AWS resources using Terraform
  • Participate in on-call for the data and observability platform
  • Build and maintain near-real-time telemetry and log pipelines
  • Design data-quality checks and route bad records for investigation
  • Design and optimize OLAP tables
  • Write and tune SQL for dashboards and analytics