Senior SRE Engineer (Observability Focus)

We are a leading trading platform that is ambitiously expanding globally. Our top-rated products have won prestigious industry awards for cutting-edge technology and seamless client experience. We are building out our observability practice and need a senior engineer to own it end to end.

• 6+ years in DevOps, SRE, or platform engineering role, with at least 2 years focused on observability tooling at production scale.
• Deep hands-on experience with VictoriaMetrics or Prometheus including MetricsQL/PromQL, exporters, service discovery, remote write, downsampling, and retention management.
• Solid OpenSearch or Elasticsearch skills including cluster operations, Query DSL, ISM policies, and ingest pipeline design.
• Production experience with OpenTelemetry including Collector configuration, OTLP, context propagation, and instrumentation across multiple languages.
• Strong Kafka skills including producer/consumer patterns, consumer group management, Kafka Connect, Schema Registry, and JMX-based monitoring; Strimzi experience is a plus.
• Proficiency with log shippers Fluent Bit, Vector, Fluentd and structured log parsing/normalization.
• Working knowledge of Kubernetes (operators, Helm), Argo CD/GitOps, and Terraform/Ansible.
• Comfortable in a hybrid AWS + on-prem environment with solid understanding of networking as it applies to scraping and shipping pipelines.
• Scripting ability in Bash or Python for automation and tooling.
• Strong communication skills and English proficiency.

• Own the full observability stack: metrics (VictoriaMetrics), logs (OpenSearch), and traces (OpenTelemetry) from pipeline design to day-2 operations.
• Architect and run VictoriaMetrics cluster topology including vmagent scraping, remote write configuration, vmalert rules, and cardinality control.
• Operate OpenSearch clusters with index lifecycle management, hot-warm-cold architecture, shard tuning, and ingest pipelines via Data Prepper.
• Build and maintain OTEL Collector pipelines and instrument services across Java, Python, and JS/TS stacks.
• Run Kafka as the telemetry transport layer including topic design, partition strategy, consumer group lag monitoring, and throughput tuning.
• Manage log shipping infrastructure using Fluent Bit, Vector, or Fluentd; define structured logging standards and field normalization.
• Build Grafana dashboards and alerting that are clear, actionable, and well-structured.
• Work with platform and application teams to improve sampling strategies, batching, and context propagation.
• Contribute to incident response, post-mortems, and reliability improvements driven by observability signals.
• Mentor engineers on observability practices, tooling, and structured logging standards.

Our company has an Internal Reporting Procedure available from Human Resources upon request. You may report a violation under the terms specified therein.