About this role
Location: India
Who We Are
Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.
As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually.
What We Do
At Moniepoint, we are a customer-focused community, dedicated to crafting solutions that redefine our industry. We have several products that provide essential services for businesses, such as credit, overdrafts, etc. We leverage artificial intelligence and data to make our decisions, but also have the technology and data-driven best practices used to support our businesses.
Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.
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
• Must have 5 - 7 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