Work with Service Center to ensure average turn around time (TAT) is within agreed KPI thresholds.
Create a weekly report to send to the Info Systems Project Management team to assist them in reviewing incidents to determine what events have occurred that may be operational losses.
Work with Service Center to ensure average turn around time (TAT) is within agreed KPI thresholds.
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Operate DataPipes (EKS + Airflow) for ingestion orchestration, ensuring high availability and version-controlled configurations via IaC (CloudFormation/CDK).
Maintain & enhance logging, monitoring, observability & DevOps automation via modern tools such as CloudWatch, Splunk, PagerDuty, Slack, ServiceNow, Snowflake observability features.
Own the data ops CI/CD service and its deployment templates.
Onboard new projects and repositories onto the CD automation; own the standard folder structure template and enforce its use. Maintain build and deployment reliability: pipeline runtime, failure rate, and diagnosability of failed builds.
Drive continuous improvement of the pipeline: build caching, container image hygiene, secret handling, environment promotion, and rollback paths.
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The Project Engineer supports technical and facility improvements that enhance equipment reliability, utility efficiency, compliance and readiness for future scalibility. This includes developing a continuous pipeline of initiatives based on operational performance, asset lifecycle, capacity requirements and business growth.
As part of the Project Management Office, the Project Engineer works closely with Maintenance, Production, QA, ESH, Warehouse, Purchasing and external technical parties to coordinate engineering studies and projects from initial assessment through implementation, commissioning and performance review.
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Manage SageMaker environments (Studio, Canvas, Notebooks) for enabling multi-domain ML use cases.
Operate DataPipes (EKS + Airflow) for ingestion orchestration, ensuring high availability and version-controlled configurations via IaC (CloudFormation/CDK).
Maintain & enhance logging, monitoring, observability & DevOps automation via modern tools such as CloudWatch, Splunk, PagerDuty, Slack, ServiceNow, Snowflake observability features.
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Operate DataPipes (EKS + Airflow) for ingestion orchestration, ensuring high availability and version-controlled configurations via IaC (CloudFormation/CDK).
Maintain & enhance logging, monitoring, observability & DevOps automation via modern tools such as CloudWatch, Splunk, PagerDuty, Slack, ServiceNow, Snowflake observability features.
To ensure all related operations activities are performed in compliance with company standards, processes, regulations and procedures
Coordinate and act as a single point of contact within the engineering team, customers, Providers, Vendors & Contractors by support, maintenance, troubleshooting to customers covering AIMS’ Products & Services of operations matters for all Data Centre sites of AIMS.
Technical competent to detect & identify the defects and deficiencies which inclusive of Isolation, troubleshooting, restoration and rectification of DC Infrastructure services.
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Design and improve clickstream data pipelines—from event ingestion to insight delivery—and contribute to services/tools for understanding user behavior.
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Master Complex Problem Solving: Collaborate with cross-functional teams to diagnose complex network incidents, performing deep root-cause analysis to prevent recurrence
Maximize System Reliability: Define and maintain Service Level Objectives (SLOs) through advanced telemetry and streaming analytics to ensure "five-nines" availability
Influence Strategic Roadmaps: Translate technical roadmaps into business value for stakeholders and steer vendor product evaluations to align with long-term strategy
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Assess the commercial potential and technical readiness levels of internal R&D projects for potential spin-offs or new business incubation.
Bachelor's degree in Engineering (e.g., Electrical, Mechanical, Chemical, Software, Materials Science, Biomedical) or a relevant scientific discipline from an accredited institution.
Master's or Ph.D. in a relevant engineering or scientific field is highly preferred.
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Perform test execution, accurately record results, evidence, and defects, and support overall validation of system changes.
Preferably an undergraduate in the penultimate or final year of a Computer Science, Information Technology, Software Engineering, Data Analytics, Business IT, or related program
Must be proficient in both written and spoken English
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Assist in ensuring solutions are suitable for production through adherence to governance, policy, and best practices.
Analyze system performance data (uptime, incidents, and ticket volume) to identify trends, forecast demand, and provide insights for capacity planning and monitoring improvements.
Apply GenAI to develop and document prompt strategies for analysis, ensuring knowledge transfer to BAU for ongoing use.
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