

Search by job, company or skills

Key Responsibilities:
. Provide L1, L2 and L3 production/application support and resolve technical issues within agreed SLAs.
. Monitor and analyse production and non-production environments to ensure optimal application and infrastructure performance.
. Manage application and security incidents, conduct problem determination, coordinate with internal teams and vendors, and escalate critical issues when required.
. Support incident, problem and change management processes using ITSM tools.
. Implement and maintain monitoring for applications and infrastructure using tools such as AWS CloudWatch and APM solutions.
. Implement security and access control measures for test and production environments, including privileged access controls.
. Identify opportunities for process automation to reduce downtime and human errors using tools such as Terraform and Ansible.
. Develop and maintain operational procedures, technical documentation, service records and process guides in accordance with audit requirements.
. Manage daily operations activities, analyse operational statistics, prepare status reports and present findings to stakeholders and management.
. Work with business users and technical teams to support AWS environments for AI-related use cases.
. Work collaboratively with development, product management, architecture, security and user support teams.
. Support an operations environment that may require 24/7 availability, including coordination with operations staff and vendors.
Requirements:
. Bachelor's degree in Computer Science, Information Technology, Engineering or a related field.
. Proven experience as an Operations Engineer, Production Support Engineer, Application Support Engineer, Cloud Operations Engineer or similar role.
. Hands-on experience supporting applications and infrastructure in AWS or other major cloud platforms.
. Experience in production support, incident management, problem management and change management.
. Experience with application and infrastructure monitoring AWS CloudWatch experience is preferred.
. Experience with DevOps practices, CI/CD pipelines and Agile methodologies.
. Knowledge of infrastructure/process automation using Terraform, Ansible or similar tools is preferred.
. Experience implementing security and access controls for production and test environments.
. Experience with ITSM/service management tools such as ServiceDesk, Zendesk, ServiceNow or equivalent is advantageous.
. Strong analytical and problem-solving skills with the ability to troubleshoot complex technical issues.
. Strong communication and stakeholder management skills, including the ability to explain technical issues to non-technical stakeholders.
. Experience supporting AWS-based AI applications, RAG, tool calling, workflow automation or data lakes will be an added advantage.
. Cloud certifications such as AWS, Azure or Google Cloud certifications will be an advantage.
. Willingness to support operational activities that may require 24/7 coverage.
Job ID: 153443039
Skills:
Agile Methodologies, Cloudwatch, Terraform, Ansible, Data lakes, Test-driven development, Zendesk ServiceDesk, DevOps pipelines, AWS ecosystem services, RAG tool, Workflow automation, ITSM tools, AWS Quick, Info-security practices
Skills:
Cloudwatch, Google Cloud, Terraform, Ansible, Azure, Servicedesk, AWS, DevOps pipelines, test-driven development, ITSM tools, AWS Quick, zendesk, GPC GCC
Skills:
Terraform, Ansible, Cloudwatch, DevOps pipelines, data lakes, Zendesk ServiceDesk, workflow automation, RAG tool, AWS Quick, AI applications
Skills:
Terraform, Ansible, Cloudwatch, Azure, Google Cloud, AWS, DevOps pipelines, Zendesk ServiceDesk, test-driven development, AWS Quick, GPC GCC
Skills:
Cloudwatch, Google Cloud, Terraform, Ansible, Agile Methodologies, Azure, Servicedesk, AWS, info-security practices, DevOps pipelines, test-driven development, management cloud infrastructure, ITSM tools, AWS Quick, zendesk