Observability Specialist
Wave Mobile Money is a financial technology company providing affordable mobile money services across Africa.
Funding history
About Wave Mobile Money Inc.
Wave Mobile Money builds and operates a mobile financial network intended to help make Africa the first cashless continent. Its consumer services enable users to deposit and withdraw money, send funds, pay bills, buy airtime, and access customer support through mobile applications and agents. Wave Business provides bulk payments, in-person merchant payments, cash collection tools, a business portal, and checkout APIs. The company serves consumers, agents, merchants, businesses, and other clients across multiple African countries.
Skills
About the Role
Own and evolve Wave’s observability platform across backend services, APIs, databases, Kubernetes workloads, cloud infrastructure, and on-premises environments. Improve instrumentation, define service-level indicators, reduce alert fatigue, build internal tooling, investigate incidents, analyze performance, establish observability standards, and manage observability costs as data volumes grow.
Requirements
- 5+ years of experience in observability, SRE, platform engineering, infrastructure engineering, backend engineering, or production systems engineering
- Deep understanding of metrics, logging, tracing, profiling, alerting, dashboards, service-level indicators, and incident response workflows
- Experience building internal tools, libraries, automation, or platforms used by other engineers
- Excellent communication and collaboration skills
- Pragmatic judgment about tooling improvements and simplification
- Experience working with other people's code
- Proficiency in at least one backend language, preferably Python
- Experience with observability tools such as Prometheus, Grafana, Datadog, OpenTelemetry, Jaeger, Tempo, Loki, Honeycomb, or Sentry
- Experience with Postgres, CockroachDB, Redis, GraphQL, or Kubernetes
- Experience with OpenTelemetry instrumentation and collector configuration at scale
Responsibilities
- Improve understanding of production behaviour across applications, APIs, databases, caches, workloads, and infrastructure
- Define meaningful service-level indicators
- Reduce alert fatigue and make alerts actionable
- Build internal tooling and self-service workflows
- Help engineers instrument services and investigate incidents
- Analyze performance and system dependencies
- Identify reliability, latency, capacity, and cost issues
- Establish observability standards, documentation, and training materials
- Operate and improve the observability platform
- Control observability costs as data volume grows
- Manage and evolve observability tools
- Support teams in implementing service-level objectives
- Improve alert quality across engineering teams
- Maintain observability modules and code
Hiring Process
Fill out the application form and upload a resume in English and a cover letter describing interest in Wave and the role.