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Responsibilities:
• Monitor and analyze the current state of various product runtime environment (production and non-production) to ensure optimum system performance, and work out data-based strategy for continuous improvement. Work with application teams, solution architects, security consultants, and other teams to implement improvement plans.
Work closely with business users to setup AWS Quick environment to support AI use cases.
• Manage application and security incidents, conduct problem determination, work with various internal teams and vendors to resolve issues on a timely basis to meet SLA, provides reporting and escalation to higher management or incident committee if necessary.
• Develop operations and processes guide to ensure every aspect of operations is documented and complies with audit requirements.
• Manage day-to-day operation activities, analyse statistics and write status and progress reports, and present findings to stakeholders and higher management.
• Manage operations team consisting of staff and vendors, ensuring support is available on a 24/7 basis.
EXPERIENCE AND SKILLS NEEDED
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience as an Operations Engineer or similar role in an IT setting.
• Implement change management and incident management workflows, using ITSM tools e.g. AWS Quick, Zendesk, ServiceDesk to automate workflows is advantageous
• Implement security and access control measures to control privileged access to test and production environment.
• Implement full stack monitoring (i.e. application and infrastructure) using Application Performance Management (APM) tools. Familiarity with cloud native monitoring options (e.g. Cloudwatch) is preferred.
• Identify and implement process automation to minimum downtime and human errors. Familiarity with scripting tools e.g. Terraform, Ansible is preferred.
• Experienced in agile methodologies, DevOps pipelines, test-driven development, and info-security practices.
• Able to work collaboratively with a high performance team and influence with positive energy.
• Resourceful and able to work out solutions with innovative thinking and new tech.
• Experienced with management cloud infrastructure and services / certification with GPC, GCC (i.e. AWS, Azure, Google Cloud) or equivalent cloud platforms will be preferred.
• Experience in AWS ecosystem services and development of AI applications demonstrating proficiency in RAG, tool calling, workflow automation, data lakes are highly advantageous.
• Excellent problem-solving skills.
• Strong communication skills, with the ability to communicate complex technical issues to non-technical teams.
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Job ID: 153523025
Skills:
Cloudwatch, Google Cloud, Terraform, Ansible, Azure, Servicedesk, AWS, DevOps pipelines, test-driven development, ITSM tools, AWS Quick, zendesk, GPC GCC
Skills:
Agile Methodologies, Cloudwatch, Terraform, Ansible, Servicedesk, AWS, AWS ecosystem, DevOps pipelines, APM tools, test-driven development, information security practices, zendesk, AI application development
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
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