Site Reliability Engineer

Moniepoint
Pakistan
Remote

Who this role is best for

Aimed at mid-to-senior-level SREs or Backend Engineers who can balance operational stability with strategic engineering in a remote, highly distributed environment.

Best fit for

  • Candidates with 4+ years of SRE or Backend Engineering experience and a track record in cloud-native systems
    — “Minimum of 4 years of experience in SRE or Backend Engineering”
  • Individuals skilled in building observability and self-healing systems with high-cardinality metrics
    — “Instrument code to expose high-cardinality metrics and distributed traces”
  • Candidates who can lead incident response and coordinate cross-functional teams during critical outages
    — “Participate in on-call rotations. [REDACTED] the Incident Commander during major severity incidents”

Things to consider

  • The position demands expertise in multiple cloud platforms and container orchestration tools
    — “Extensive experience with Google Cloud Platform (GCP) or similar cloud providers (AWS/Azure)”

How to stand out

  • Highlight experience in defining and defending SLOs and Error Budgets with product teams
    — “Collaboratively define, measure, and defend Service Level Objectives (SLOs) and Error Budgets with product owners”
  • Showcase projects involving automation and self-healing mechanisms in production systems
    — “Write high-quality, production-ready code ... to build automation platforms and self-healing mechanisms”
  • Emphasize hands-on experience with Kubernetes and cloud infrastructure troubleshooting
    — “Proficient in running production workloads on Kubernetes (GKE/EKS) and troubleshooting cluster/infrastructure issues”
  • Demonstrate familiarity with observability tools like OpenTelemetry and SigNoz
    — “Experience designing observability strategies using OpenTelemetry, Prometheus, New Relic, Datadog, or SigNoz”
  • Mention experience with high-throughput data stores and streaming platforms
    — “Familiarity with operating and tuning production data stores ... in a high-throughput environment”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • participate in on-call rotations
  • define SLOs
  • build internal tooling
  • partner with product engineering
  • analyze system performance
Typical background
SREbackend engineeringdistributed systems

Skills & requirements

Required

SREDistributed SystemsCodingIncident ResponseObservabilityAutomationSelf-healing MechanismsLoad TestingChaos Engineering

Preferred

Google Cloud PlatformKubernetesOpentelemetryPrometheusNew RelicDatadogSignozPostgreSQLMySQLKafkaRabbitmq

Stack & domain

Distributed SystemsKubernetesGoogle Cloud PlatformObservability StrategiesService Level ObjectivesSelf-healing MechanismsIncident ResponseCollaborationProblem SolvingDecision MakingTechnical LeadershipFinancial PlatformPayment Systems

About the role

Original posting from Moniepoint via Greenhouse

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. 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.

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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.

What we can offer you

Culture - We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.

Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.

Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

A preliminary phone call with the recruiter

A technical interview with the Hiring Manager

A behavioural and technical interview with a member of the Executive team. 

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

Source: Moniepoint careers (Greenhouse)

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