{"id":3951763,"url":"https://alion.io/job/redm-professional-services-senior-cloud-engineer","title":"Senior Cloud Engineer","company":{"id":4503717,"name":"RedM Professional Services","domain":null,"url":"https://alion.io/company/redm-professional-services","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Johannesburg, South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AIOps","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Docker","optional":false},{"name":"Dynatrace","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Grafana","optional":false},{"name":"ITIL","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"MySQL","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"PowerShell","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-28T08:01:06Z","employer_posted_date":null,"last_verified_at":"2026-10-28T08:01:06Z","board_verified":false,"closed_at":null,"days_open":12,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":12},"description":"Introduction\n\nWe are seeking a highly skilled Senior Cloud Engineer to support the delivery, optimisation, and operational maturity of enterprise hybrid cloud environments. The successful candidate will play a hands-on technical role across cloud infrastructure, platform engineering, automation, and cloud operations within a complex enterprise ecosystem.\n\nThis role requires strong technical expertise across hybrid cloud technologies (Private and Public Cloud), Infrastructure as Code (IaC), Kubernetes, CI/CD pipelines, and cloud platform operations, with exposure to Huawei Cloud Stack environments. The ideal candidate will be technically strong, automation-focused, and comfortable working across engineering, operations, architecture, security, and application teams.\n\nThe position is suited to an experienced cloud professional with a strong background in cloud infrastructure, automation, platform engineering, and operational support, who can contribute to cloud transformation initiatives and help drive reliable, scalable, and secure enterprise cloud platforms.\n\nDuties & Responsibilities\n\nCloud Platform Engineering\n\nDesign, deploy, maintain, and optimise hybrid cloud infrastructure environments.\n\nSupport the ongoing operation and improvement of enterprise cloud platforms, ensuring scalability, resilience, performance, and security.\n\nParticipate in cloud transformation and migration initiatives, including workload migrations onto Huawei Cloud Stack.\n\nProvide hands-on technical expertise across cloud infrastructure, platform operations, and infrastructure automation.\n\nTroubleshoot complex cloud infrastructure and platform-related issues and contribute to root-cause analysis and permanent remediation.\n\nContribute to cloud platform standards, technical documentation, and operational best practices.\n\nInfrastructure as Code & Automation\n\nDevelop, maintain, and support Infrastructure as Code frameworks using Terraform and related automation tooling.\n\nStandardise cloud deployment methodologies to reduce configuration drift and improve operational consistency.\n\nBuild and maintain CI/CD pipelines for infrastructure and platform services.\n\nAutomate repetitive operational and infrastructure processes to improve reliability and reduce manual intervention.\n\nContribute to automation-first operational practices and continuous improvement initiatives.\n\nContainerisation & Platform Engineering\n\nAdminister and support Kubernetes and container platforms across enterprise workloads.\n\nSupport container orchestration, workload deployment, scaling, and platform resilience.\n\nDevelop and maintain deployment configurations and platform automation for containerised workloads.\n\nContribute to platform engineering standards, deployment frameworks, and operational governance.\n\nTroubleshoot Kubernetes, Docker, and container platform issues across development, test, and production environments.\n\nCloud Operations & Observability\n\nImplement and maintain monitoring, telemetry, alerting, and observability capabilities across cloud environments.\n\nProactively monitor cloud platforms and infrastructure in line with SLA, SLO, and operational requirements.\n\nInvestigate performance, availability, and capacity-related issues and implement appropriate remediation.\n\nSupport AIOps-driven operational maturity and automation initiatives.\n\nContribute to platform reliability, disaster recovery, backup, and recovery capability improvements.\n\nAI & Intelligent Cloud Operations\n\nSupport the adoption of AIOps and AI-assisted operational tooling to improve platform observability, anomaly detection, predictive alerting, and incident response.\n\nLeverage AI-assisted development and code-generation tools to improve engineering productivity and automation.\n\nIdentify opportunities to use AI-driven automation within operational runbooks, capacity planning, infrastructure optimisation, and service reliability.\n\nStay informed on emerging AI capabilities relevant to cloud and platform engineering and contribute to their practical adoption.\n\nSupport the deployment and operational requirements of AI and ML workloads on hybrid cloud platforms where required.\n\nTechnical Collaboration\n\nWork closely with architecture, security, DevOps, database, application, and infrastructure teams.\n\nParticipate in Agile delivery practices, including sprint planning, stand-ups, technical discussions, and retrospectives.\n\nProvide technical guidance and knowledge sharing to other engineers where required.\n\nContribute to technical design discussions and provide input into cloud platform and infrastructure decisions.\n\nAct as a technical escalation point for complex cloud engineering and infrastructure issues.\n\nSecurity & Governance\n\nImplement cloud infrastructure in accordance with enterprise security standards and governance requirements.\n\nSupport secure access management, auditability, network security, and cloud governance best practices.\n\nEnsure infrastructure configurations and automation follow approved security and operational standards.\n\nContribute to disaster recovery, backup, business continuity, and platform resilience initiatives.\n\nDesired Experience & Qualification\n\nDegree or Diploma in Information Technology, Computer Science, Engineering, or a related field.\n\n5–8 years’ experience in cloud infrastructure, platform engineering, DevOps, or cloud operations environments.\n\nProven experience working within enterprise hybrid cloud environments.\n\nHands-on experience with Huawei Cloud Stack or similar enterprise cloud platforms.\n\nStrong hands-on experience with Infrastructure as Code using Terraform.\n\nStrong Kubernetes and Docker administration experience.\n\nExperience with CI/CD tooling and infrastructure automation.\n\nSolid Linux systems administration background.\n\nExperience with cloud platforms such as AWS and/or Azure.\n\nStrong scripting and automation capability using Python, Bash, or PowerShell.\n\nExperience with monitoring and observability platforms such as Prometheus, Grafana, or CloudWatch.\n\nGood understanding of networking, security, VPNs, firewalls, and cloud governance principles.\n\nStrong troubleshooting and problem-solving capabilities.\n\nAbility to work effectively in a collaborative Agile engineering environment.\n\nAdvantageous Skills\n\nScrum Master certification or Agile delivery exposure.\n\nExperience within DBaaS or platform operations environments.\n\nExposure to AIOps and operational intelligence tooling such as Dynatrace, Moogsoft, IBM Watson AIOps, or similar.\n\nExperience supporting database platforms such as PostgreSQL, MySQL, MongoDB, or Redis.\n\nExposure to enterprise cloud migration programmes.\n\nITIL knowledge or operational governance experience.\n\nHuawei Cloud certifications.\n\nAWS or Azure cloud certifications.\n\nExperience with GitHub Actions or similar CI/CD platforms.\n\nTechnologies & Tools\n\nHuawei Cloud Stack\n\nTerraform\n\nKubernetes\n\nDocker\n\nGitHub CI/CD\n\nAWS\n\nAzure\n\nLinux\n\nPython\n\nBash\n\nPowerShell\n\nPrometheus\n\nGrafana\n\nCloudWatch\n\nAIOps Tooling (Dynatrace / Moogsoft)\n\nAI-Assisted Development Tools (GitHub Copilot / LLM Tooling)\n\nAI Security Posture Management (AISPM) Tooling\n\nPostgreSQL\n\nMySQL\n\nMongoDB\n\nRedis\n\nExposure to AI-assisted development and cloud operations 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