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.

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9jabook

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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.We are seeking an experienced Site Reliability Engineer (SRE) responsible for ensuring our systems run smoothly and efficiently while engineering solutions to improve visibility, eliminate repetitive tasks, and increase system resilience. The ideal candidate will balance real-time on-call responsibilities with strategic engineering work to achieve sustainable and scalable service reliability.

Responsibilities

Participate in on-call rotations as the primary technical lead for detecting, triaging, and resolving service degradation, outages, or reliability issues across all environments.
Act as the Incident Commander during major incidents: initiating war room or bridge calls, coordinating cross-functional teams, providing timely and clear status updates to all stakeholders and leading/documenting blameless Root Cause Analyses (RCAs) to identify the root causes of issues and drive long-term fixes.
Develop automation to eliminate manual and repetitive operational tasks (toil) related to reliability and operations across both applications and infrastructure to improve efficiency and system resilience.
Create and maintain monitoring dashboards and alerts to monitor application and infrastructure health.
Participate in feature development discussions to ensure services are built with observability from the ground up.
Define and track Service Level Indicators (SLIs) and Service Level Objectives (SLOs) in collaboration with Product and Engineering teams.
Investigate and resolve customer complaints escalated beyond L1 and L2 support, especially those involving performance, reliability, or complex system behavior.

Requirements

Minimum of 4 years of experience supporting enterprise applications in an SRE or similar role.
Knowledge of distributed systems, microservices architecture and software design patterns.
Experience with cloud platforms such as AWS, GCP, or Azure.
Strong knowledge of Kubernetes and container orchestration tools. 
Experience using application performance monitoring tools, OpenTelemetry, and observability platforms such as New Relic, Datadog, ELK, or SigNoz
Excellent problem-solving and troubleshooting skills as an on-call engineer, with the ability to resolve complex infrastructure and application issues.
Proficient in setting up and maintaining monitoring dashboards and alerts using Grafana and Prometheus.

Written by

9jabook

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