IT Operations Engineer

Working as an IT Operations Engineer, you’ll be managing infrastructure, operating systems,responding to incidents, keeping the environment secure and automating repetitive tasks.

Key Responsibilities

• infrastructure management

• managing Linux machine servers
• lifecycle management of the server
• create and maintain servers
• proficient in bash or python for automation

• automation

• scripting knowledge to automate repetitive tasks
• building and integrating tools that will assist in improving system availability,

reliability, and performance

• utilizing CI/CD tooling to automate (Azure DevOps , Jenkins and Github actions)

• scripting knowledge to automate repetitive tasks

• log management, monitoring and troubleshooting

• performance monitoring and trend analysis
• proactive identifying problem areas of a system, i.e. software bugs, misconfigurations and bottleneck
• using ELK stack , Prometheus and Grafana as our toolset

• incident,  problem management and change management

• coordinating incident management and service restoration
• creating support ticket/requests to other teams

• service level management

• proactive monitoring and adherence to SLAs
• holding IT Engineering, Security and Architecture accountable for remediation of any SLA degradation
• provide 2nd level support and technical advice to teammates

• IT Key Controls

• ensuring that IT is ‘in CONTROL’ by holding IT groups accountable for adherence
• collating and providing necessary evidence to Auditors for these controls
• creation of documentation, presentations and operations manual

• disaster recovery (DR) & business continuity planning (BCP)

• participation in BCP
• high availability and resilience patterns

• vulnerability management

• updating core application via pipeline or playbooks
• updating operating system critical/important system updates religiously

Key Capabilities/Experience

• work comfortably with Linux Server (VM or Containerized)
• comfortably write or develop automation scripts (bash and python)
• worked with kafka related tools or microservices eg. zookeeper etc
• worked with Jenkins, Github actions and Ansible
• run and deploy applications in a private and public cloud (azure and aws)
• continuously integrate and deploy (CI/CD) using Azure DevOps Pipelines
• work and analyze aggregated logs using ELK stack
• knowledgeable with observability tools (Prometheus, Grafana)

• able to troubleshoot in every level of from network to application
• knowledgeable with infra as code (terraform)
• comfortable working with Service Now and Azure Devops as service management tools