Cloud & DevOps Engineer

Job Description: Cloud & DevOps Engineer

Location: Ikeja GRA, Lagos (Fully On-Site)

Employment Type: 9–12 Month Contract (Full-Time) — Contingent Upon OptimumAI Project Contract Signing

About Lustrew Dynamics

Lustrew Dynamics is a fast-growing AI innovation company building solutions across FinTech, MedTech, GovTech, and intelligent infrastructure systems. We specialize in real-time AI platforms, predictive analytics, intelligent automation, and scalable cloud-native systems.

We are currently assembling a specialized team to build OptimumAI, Nigeria’s first AI-powered Out-of-Home advertising intelligence platform.

This role is contingent upon successful contract signing with Optimum Exposures Limited.

Key Responsibilities:

Infrastructure Deployment & Environment Management

• Design, deploy, and manage the cloud infrastructure powering the OptimumAI platform.

• Build and maintain development, staging, and production environments for backend services, analytics pipelines, APIs, and internal dashboards.

• Provision and configure compute, networking, storage, and container orchestration resources to support platform scalability and reliability.

• Ensure infrastructure is standardized, repeatable, and production-ready across all deployment environments.

CI/CD & Release Engineering

• Design and implement CI/CD pipelines for automated testing, build, packaging, and deployment of platform services.

• Automate code integration and release workflows for backend APIs, data services, analytics systems, and supporting infrastructure.

• Support fast, stable, and low-risk production releases through rollback strategies, version control discipline, and deployment automation.

• Collaborate with engineering teams to improve development velocity and deployment consistency.

Cloud Operations & Platform Reliability

• Manage cloud infrastructure across platforms such as AWS, Azure, GCP, or OCI, depending on project deployment needs.

• Monitor system uptime, service health, performance, and infrastructure usage across all production workloads.

• Optimize infrastructure for scalability, cost efficiency, availability, and operational resilience.

• Implement logging, metrics, alerting, and incident response workflows to support ongoing platform reliability.

Containerization & Orchestration

• Package platform components using Docker and manage containerized deployment workflows.

• Deploy and maintain Kubernetes clusters or equivalent orchestration systems for reliable service management.

• Configure workload scaling, service discovery, ingress routing, resource allocation, and cluster health monitoring.

• Ensure infrastructure supports secure and efficient communication between APIs, data services, and frontend applications.

Security, Access Control & Compliance

• Implement secure API gateways, traffic controls, and environment-level protections for platform services.

• Manage authentication systems, secrets storage, role-based access controls, and secure service-to-service communication.

• Enforce cloud security best practices across networking, storage, access, and deployment pipelines.

• Support audit readiness through documentation, configuration standards, and operational security controls.

Infrastructure as Code & Automation

• Build and maintain Infrastructure as Code templates for provisioning and managing cloud resources.

• Automate repeatable infrastructure tasks to reduce manual setup, configuration drift, and deployment errors.

• Maintain version-controlled infrastructure configurations and support environment reproducibility.

• Contribute to long-term platform maintainability through automation and operational standardization.

Collaboration & Documentation

• Work closely with backend engineers, AI/ML engineers, data engineers, and product teams to ensure cloud infrastructure supports platform requirements.

• Translate technical platform needs into scalable deployment and operations strategies.

• Document architecture decisions, deployment procedures, system configurations, and recovery processes.

• Support internal technical handoff and operational continuity throughout the OptimumAI project lifecycle.

Required Skills & ExperienceEducation & Background

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Computer Engineering, or a related field.

• 4–6+ years of experience in Cloud Engineering, DevOps, Site Reliability Engineering, Infrastructure Engineering, or related roles.

• Proven experience deploying and managing production cloud infrastructure for web platforms, APIs, analytics systems, or enterprise applications.

Technical Skills

• Strong hands-on experience with Docker for containerization

• Strong hands-on experience with Kubernetes for container orchestration

• Experience with one or more major cloud platforms: AWS, Azure, GCP, or OCI

• Experience implementing Infrastructure as Code using tools such as Terraform, CloudFormation, ARM, or similar

• Experience building and managing CI/CD pipelines

• Strong understanding of cloud networking, compute, storage, and load balancing

• Experience with monitoring, logging, and alerting tools

• Familiarity with Linux server administration and cloud security best practices

• Experience supporting API-based platforms and distributed systems in production

Bonus / Preferred Skills

• Experience deploying AI/ML-enabled platforms or analytics-heavy systems

• Experience with secure API gateway implementation and service authentication

• Experience with observability stacks such as Prometheus, Grafana, ELK, or Cloud-native monitoring tools

• Experience with GitOps, release automation, and rollback strategies

• Familiarity with high-availability architecture and disaster recovery planning

• Experience with Nigerian enterprise deployments or high-growth startup environments

Soft Skills

• Strong problem-solving and systems thinking ability

• Ability to troubleshoot infrastructure issues quickly and methodically

• Strong collaboration skills across engineering and product teams

• Ability to balance speed, reliability, and security in deployment decisions

• Strong documentation and operational discipline

Benefits

• Competitive ₦ salary

• Opportunity to work on Nigeria’s first AI-powered OOH intelligence platform

• Access to enterprise cloud and AI infrastructure

• Opportunity to help shape the foundational deployment architecture of a nationally significant AI platform

• Potential contract extension based on project success and performance

Job Types: Full-time, Contract Contract length: 12 months

Pay: ₦300,000.00 - ₦500,000.00 per month

Ability to commute/relocate:

• Ikeja: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

• State how far you are in hours and/or minutes to our office: 2nd floor, 52-54 Isaac John St, Ikeja GRA, Lagos 101233, Lagos, Nigeria. If you do not state it, your application will be automatically rejected.

Education:

• Undergraduate (Preferred)

Experience:

• DevOps: 4 years (Required)

• Cloud Infrastructure: 4 years (Required)

Location:

• Ikeja (Preferred)

Work Location: In person