Senior Software Engineer, Observability
About The Position
The Senior Software Engineer will join Airwallex’s Infrastructure & Productivity team and build and operate observability platforms that provide engineering teams with timely, actionable insight into the health and performance of distributed systems. The role aims to reduce incident detection and resolution time, improve system reliability, and establish scalable observability practices across the company. The engineer will develop platforms and software capabilities for metrics, logs, traces, events, alerting, dashboards, and service health. They will help establish observability standards and self-service tools, improve incident response, and make reliable instrumentation and troubleshooting easy for engineering teams. The role partners with application, infrastructure, SRE, security, and product teams, and contributes to design and technical planning, code review, incident response, and post-incident learning. The engineer will also mentor colleagues and promote ownership, operational excellence, and continuous improvement. The Infrastructure & Productivity team supports Airwallex’s global engineering organisation by operating core platforms, including Kubernetes, Kafka, CI/CD pipelines, and observability systems. The team works to keep these systems reliable and secure, optimize cloud costs, automate manual support, and encourage standardization without slowing product delivery. Team members work with globally distributed colleagues, including in APAC and EMEA.
Requirements
- At least 5 years of professional software engineering experience, with a track record of building and operating production systems.
- Strong proficiency in at least one backend programming language, such as Go, Java, Python, or Kotlin.
- Hands-on experience designing and operating distributed systems at scale.
- Practical experience with observability platforms and technologies such as Prometheus, Grafana, Datadog, OpenTelemetry, ELK, or equivalent solutions.
- Strong understanding of metrics, logs, traces, alerting, service-level indicators, service-level objectives, and incident management.
- Experience with cloud-native environments, Kubernetes, containers, and public cloud platforms such as AWS, GCP, or Azure.
- Experience with infrastructure as code and automated software delivery, using tools such as Terraform and CI/CD pipelines.
- Strong system design and problem-solving skills, with the ability to make sound technical decisions in complex and ambiguous environments.
- Excellent communication and collaboration skills, including the ability to work effectively with globally distributed engineering teams.
- An ownership mindset and commitment to improving systems rather than simply treating symptoms.
Nice To Haves
- Experience building observability platforms or internal developer platforms used by multiple engineering teams.
- Experience with OpenTelemetry, Prometheus, Grafana, Jaeger, Loki, Tempo, ClickHouse, Elasticsearch, Kafka, or similar technologies.
- Experience designing high-volume telemetry ingestion, storage, querying, aggregation, and retention systems.
- Familiarity with SRE practices, including on-call operations, incident response, postmortems, runbooks, and error budgets.
- Experience with service meshes, Kubernetes operators, or large-scale microservice platforms.
- Contributions to observability, cloud infrastructure, reliability, or open-source projects.
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related discipline.
Responsibilities
- Build and operate highly scalable observability platforms for metrics, logs, traces, events, alerting, dashboards, and service health.
- Develop reliable software and platform capabilities that help engineering teams instrument, monitor, and troubleshoot services with minimal friction.
- Establish and evolve standards for telemetry collection, instrumentation, alert quality, SLOs, SLIs, service ownership, and operational readiness.
- Improve incident detection, diagnosis, and response with actionable alerts, intelligent correlation, service dependency visibility, and effective runbooks.
- Build self-service tools and paved paths that make observability best practices easy for engineers to adopt.
- Partner with application, infrastructure, SRE, security, and product teams to understand operational challenges and deliver durable solutions.
- Improve the scalability, reliability, performance, and cost efficiency of observability systems across multiple regions and environments.
- Participate in design reviews, technical planning, code reviews, incident response, and post-incident learning.
- Mentor engineers and contribute to a culture of ownership, operational excellence, and continuous improvement.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
