Site Reliability Engineer - J13203

Pinpoint Asia; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

Pinpoint Asia represents a financial trading firm seeking a mid-level SRE who owns system reliability and observability. You will design Grafana dashboards, implement alerts, and manage production systems on Kubernetes (EKS) with CI/CD via GitOps.

You will build near-real-time telemetry pipelines for trading data, optimize columnar queries, and ensure data quality across streaming and batch processes.

Qualifications

• Degree in CS, Software Engineering, or equivalent practical experience.
• Proven experience with production observability stacks (Prometheus, Grafana, Loki, ELK, Datadog).
• Hands-on experience with Kubernetes operations and CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) and AWS via Terraform.
• Strong Python, Scala, Java, or Rust skills with fluent SQL.

Responsibilities

• Own platform observability end-to-end; design Grafana dashboards and actionable alerts.
• Manage production systems on Kubernetes (EKS) and drive deployments via CI/CD (GitOps).
• Build and maintain near-real-time pipelines for telemetry and trading logs; optimize SQL for large datasets.

Skills

Python/Scala/Java/Rust

Education

Degree in CS or SE

Tools

Prometheus

Grafana

Loki

ELK

Datadog

GitHub Actions

GitLab CI

Jenkins

Kubernetes (EKS)

Terraform

Apache Kafka

SQS

Job description

Our client, a financial trading company, is looking for a mid-level SRE who owns system reliability and observability.

What You’ll Do

• SRE & Observability: Own platform observability end-to-end. Design Grafana dashboards and actionable alerts that pinpoint root causes. Manage production systems on Kubernetes (EKS), diagnose silent failures, and run AWS infrastructure via Terraform. Participate in on-call rotations for the data platform and drive deployments through CI/CD (GitOps).
• Data Pipeline Engineering: Build and maintain near-real-time pipelines for telemetry and trading logs. Implement robust delivery guarantees and data quality checks to quarantine bad records. Optimize columnar OLAP tables for fast, billion-row queries using advanced partitioning, deduplication, and tuned SQL.

What You Need

• Degree in CS, Software Engineering, or equivalent practical experience.
• Proven experience with production observability stacks (Prometheus, Grafana, Loki, ELK, Datadog), CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), and Kubernetes operations (pod management, resource limits).
• Hands-on experience with distributed stream processing engines (Flink, Spark Streaming) and columnar OLAP databases (ClickHouse, Redshift, BigQuery). Familiarity with message queues (Kafka, SQS).
• Strong skills in Python, Scala, Java, or Rust, alongside fluent analytical SQL.

Nice to Have

• OpenTelemetry, distributed tracing, and handling high-cardinality telemetry.
• Workflow orchestration with Apache Airflow.
• Advanced Infrastructure as Code (Terraform modules, drift management).