Moniepoint is a financial technology company digitising Africa’s real economy by building a financial ecosystem for businesses, providing them with all the payment, banking, credit and business management tools they need to succeed.
Job Summary
- We are seeking an experienced SRE to engineer the reliability of our highly distributed platform. You will combine deep knowledge of distributed systems with strong coding skills to define SLOs, lead incident response, and build automation and self-healing mechanisms into our systems. You will balance immediate operational stability with long-term strategic engineering to ensure our services scale linearly with our hyper-growth.
Responsibilities
- Participate in on-call rotations as the primary technical lead. Act as the Incident Commander during major severity incidents: initiating war rooms, coordinating cross-functional teams, and providing clear status updates.
- Instrument code to expose high-cardinality metrics and distributed traces. Collaboratively define, measure, and defend Service Level Objectives (SLOs) and Error Budgets with product owners.
- Write high-quality, production-ready code (in Java, Go, or Python) to build internal tooling, automation platforms, and self-healing mechanisms that eliminate manual operator intervention.
- Partner with Product Engineering teams during the design phase to ensure new services are built with reliability, scalability, and observability patterns (circuit breakers, rate limiting, backpressure, fallback strategies) from day one.
- Analyze system performance and traffic patterns to model future capacity needs. Conduct load testing and chaos engineering experiments to verify system resilience under failure conditions.
Requirements
- Minimum of 4 years of experience in SRE or Backend Engineering with a strong ability to write clean, performant, and tested code in Java, Go, Rust, or Python.
- Deep understanding of distributed systems architecture and design patterns. You possess a strong command of microservices fundamentals, event-driven architectures, and the underlying principles required to build systems that scale.
- Extensive experience with Google Cloud Platform (GCP) or similar cloud providers (AWS/Azure). You are proficient in running production workloads on Kubernetes (GKE/EKS) and troubleshooting cluster/infrastructure issues.
- Experience designing observability strategies using OpenTelemetry, Prometheus, New Relic, Datadog, or SigNoz to improve system visibility.
- Familiarity with operating and tuning production data stores (e.g., PostgreSQL, MySQL) and streaming platforms (e.g., Kafka, RabbitMQ) in a high-throughput environment.
Method of Application
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