Detection and Response Engineer

Moniepoint Incorporated is a global business payments and banking platform and recently became QED Investors’ first investment in Africa. We are the partner of choice for over 600,000 businesses of all sizes, powering the dreams of SMBs and providing them with equal access to the tools they need to grow and scale. We are recruiting to fill the position below:

Job Title: Detection and Response Engineer

Location: Remote, Nigeria Role Overview Moniepoint is looking for an experienced Detection and Response Engineer to join our Incident Response team. The role suits someone who has moved beyond first-line triage and wants to lead investigations from start to finish, then use what they learn to improve our detections. You’ll triage and investigate security incidents, write and tune detection rules in our Detection-as-Code pipeline, and automate detection and response work. You'll work closely with the Lead to close detection gaps, drive down MTTD/MTTR, and grow toward deeper detection engineering and IR ownership across Moniepoint Group

Key Responsibilities

Security Incident Response: Own escalated security incidents end-to-end, including scoping, evidence collection, threat analysis, containment, and remediation Analyze and reverse engineer malware to understand its behavior, extract Indicators of Compromise (IOCs), identify Tactics, Techniques, and Procedures (TTPs), and determine appropriate detection and response Conduct threat hunting using existing detection content, threat intelligence, and independent hypothesis-driven analysis Review and provide feedback on reported security incidents Detection Engineering: Write, test, and deploy detection rules (YARA-L or equivalent) through the team's CI/CD Detection-as-Code pipeline Tune existing detections to reduce false positives, using incident and hunting findings as the primary signal for what needs fixing Identify detection gaps surfaced during investigations and translate them into new rule proposals Build and maintain SOAR playbooks and security automation, including AI-driven and agentic workflows, to automate alert triage, enrich investigations, and speed up incident response. Participate in tabletop, purple-team, and threat-intel-driven simulation exercises, including scenario execution and converting findings into new detections Translate relevant threat intelligence into new detection opportunities or hunting hypotheses Collaboration & Documentation: Work cross-functionally with cloud security, infrastructure, and development teams to close systemic gaps identified during investigations Maintain accurate records for incidents, detection changes, and threat intelligence, and keep the playbook library current Document new detection logic and rule changes to a standard that supports peer review and audit Compliance & Continuous Improvement: Ensure IR and detection engineering practices align with PCI-DSS, ISO 27001, and NIST CSF 2.0 Stay current with cybersecurity trends and threat landscape shifts, and proactively implement IR or detection process improvements Log Integration, Visibility, & Threat Modeling: Drive log source onboarding and ingestion health across enterprise applications and cloud environments; identify critical visibility gaps; and coordinate remediation with relevant teams. Lead threat modeling exercises for critical infrastructure and translate findings into high-fidelity detection rules and proactive threat hunting hypotheses Implement and maintain automated event enrichment pipelines to enhance context for security investigations and improve analyst efficiency.