# Infrastructure Engineer ## Summary - Organization: Career Soft Solutions - Location: Dubai - Type: Full-Time - Department: Engineering - Status: active - Posted: [object Object] - Updated: [object Object] - Closing Date: 2026-11-26 - External Apply: No - External Apply URL: support@talentreview.ai ## Details - Salary: N/A - Experience: 4-8 years - Education: B.Tech - Team: N/A - Reporting To: N/A ## Description Job Description: Infrastructure Engineer – SRE, Cloud & Edge Systems Job Title: Infrastructure Engineer (Site Reliability Engineering – SRE) Location: Dubai, UAE Duration: 6 Months Experience: 4–8 Years Budget: Open to discussion based on experience and skills Work Environment: Cloud & Edge Distributed Systems **Position Summary** We are seeking an experienced Infrastructure Engineer with strong expertise in Site Reliability Engineering (SRE), cloud infrastructure, edge computing, Kubernetes, automation, and observability. The ideal candidate will be responsible for designing, deploying, monitoring, and maintaining reliable and scalable distributed systems across cloud and edge environments. The role requires hands-on experience with Kubernetes-based deployments, GitOps, Infrastructure as Code (IaC), event-driven architectures, and AIOps solutions to improve system reliability and operational efficiency. **Key Responsibilities** Infrastructure Management: Design, deploy, and maintain reliable cloud and edge infrastructure for distributed systems. Site Reliability Engineering: Define and implement Service Level Objectives (SLOs) and Service Level Indicators (SLIs) to measure system availability, performance, and reliability. Kubernetes & Container Orchestration: Manage containerised workloads using Kubernetes, particularly k3s, along with Helm for application packaging and deployment. CI/CD & GitOps: Implement automated deployment workflows using ArgoCD, Helm, and GitOps practices to support continuous delivery and marketplace-style deployments. Automation & Platform Engineering: Develop automation scripts, platform tools, and APIs using Python (FastAPI), Go, or Node.js. Observability & Monitoring: Build and maintain monitoring, logging, tracing, and alerting solutions using Prometheus, Grafana, OpenTelemetry, ELK Stack, or OpenSearch. AIOps Implementation: Apply AI-driven operational techniques such as anomaly detection, alert correlation, predictive incident management, and automated root-cause analysis. Event-Driven Systems: Integrate and manage messaging and event-processing systems using Kafka and/or RabbitMQ. Infrastructure as Code: Automate infrastructure provisioning and configuration management using Terraform, Helm, and GitOps workflows. Incident Management: Lead or support incident response, troubleshooting, root-cause analysis, postmortem reviews, and preventive action planning. Self-Healing Systems: Develop automated recovery mechanisms and self-healing capabilities to reduce downtime and manual intervention. Performance Optimisation: Identify infrastructure bottlenecks, improve resource utilisation, and ensure system scalability and resilience. Documentation: Maintain technical documentation for infrastructure architecture, deployment processes, operational procedures, and incident management. **Required Qualifications** Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. 4–8 years of relevant experience in infrastructure engineering, SRE, DevOps, cloud engineering, or platform engineering. Strong understanding of cloud infrastructure and distributed systems. Hands-on experience with Kubernetes, preferably k3s, and Helm. Experience implementing GitOps-based deployments using ArgoCD. Programming or scripting experience in Python (FastAPI), Go, or Node.js. Practical experience with monitoring and observability tools such as Prometheus, Grafana, OpenTelemetry, ELK, or OpenSearch. Knowledge of Infrastructure as Code, particularly Terraform. Experience with CI/CD pipelines and automated deployment workflows. Familiarity with event-driven architectures and messaging platforms such as Kafka or RabbitMQ. Strong troubleshooting, incident management, and root-cause analysis skills. Understanding of SLOs, SLIs, system availability, reliability engineering, and performance optimisation. Preferred Qualifications Experience managing cloud and edge distributed systems. Exposure to AIOps, including anomaly detection, alert correlation, and predictive incident management. Experience building self-healing infrastructure and automated remediation workflows. Familiarity with marketplace-style application deployment and distributed platform environments. Experience with observability-driven operations and OpenTelemetry-based distributed tracing. Knowledge of high-availability architectures, resilience engineering, and capacity planning. **Core Technical Skills** Category Required Technologies Containerisation & Orchestration Kubernetes, k3s, Helm CI/CD & GitOps ArgoCD, GitOps Programming & Automation Python, FastAPI, Go, Node.js Monitoring & Observability Prometheus, Grafana, OpenTelemetry Logging & Analytics ELK Stack, OpenSearch Infrastructure as Code Terraform, Helm Messaging & Event-Driven Systems Kafka, RabbitMQ Reliability Engineering SRE, SLOs, SLIs, incident response, postmortems AIOps Anomaly detection, alert correlation, predictive incident management Advanced Operations Self-healing systems, automated remediation, distributed systems ** Candidate Expectations** Strong hands-on technical experience in SRE, infrastructure engineering, or DevOps. Ability to work with cloud and edge infrastructure in distributed environments. Practical knowledge of Kubernetes, GitOps, observability, and infrastructure automation. Strong analytical and problem-solving capabilities. Availability for a 6-month contract in Dubai, UAE. Budget is negotiable and open to discussion based on the candidate's experience and technical expertise. **Application Process** Interested candidates are requested to share their updated CV along with the following details: Total IT experience Relevant SRE / Infrastructure Engineering experience Current location Kubernetes, k3s, Helm, and ArgoCD experience Observability and AIOps experience Notice period / availability Expected monthly rate in AED ## Responsibilities None ## Skills None ## Tags None ## Organization - Name: Career Soft Solutions - Website: http://www.cssinc.ai - Industry: Staff Augmentation - Size: 400+ - Founded Year: 2015 - Description: N/A