Bright Vision Technologies is seeking a AWS Cloud Engineer to build, secure, automate, and operate cloud or enterprise infrastructure and platforms. The work focuses on availability, scalability, security, observability, automation, and dependable service operations.
Compensation
Salary Range: $115,000–$165,000 Annually
Responsibilities
Design, provision, configure, and operate cloud or infrastructure components using approved architecture patterns
Automate repeatable provisioning, deployment, configuration, and operational tasks
Implement security, identity, networking, backup, monitoring, and availability controls
Investigate incidents, capacity issues, vulnerabilities, and performance problems
Maintain runbooks, diagrams, standards, and change records; collaborate across engineering and operations
Develop scalable automation, monitoring and analytics solutions that improve operational efficiency, service quality and network reliability within the Unified Communications operations environment.
Responsibilities
Design, develop, test and maintain scalable automation and monitoring solutions for Unified Communications and network operations.
Build automation and observability frameworks using data analytics, Grafana, Prometheus, Kibana/ELK, microservices, APIs, GitHub and scripting technologies.
Configure and customise services such as Grafana, Prometheus, ELK and Jaeger to enable enhanced metrics, analytics, alerting, logging and distributed tracing.
Collaborate with network specialists to identify opportunities for operational automation, monitoring enhancements and service optimisation, including the use of UiPath RPA, Python or PHP scripting where appropriate.
Apply Continuous Integration and Continuous Deployment (CI/CD) principles and Agile delivery practices throughout solution development.
Lead technical ownership of Westpac’s Application Control service within Information Security, setting direction for platform architecture, policy design and engineering standards across Windows, macOS and Linux.
Responsibilities
Set direction for platform architecture, policy design and engineering standards across Windows, macOS and Linux
Lead complex policy changes, integrations and major incident response
Work across security operations, endpoint management and engineering teams to improve resilience, automate controls and enhance measurement of effectiveness
Develop, implement, and optimise data models and algorithms to address business problems and improve decision-making.
Perform data mining, statistical analysis, and predictive modelling to identify trends, patterns, and actionable insights.
Design, develop, and deploy machine learning models using algorithms such as K-Nearest Neighbours, Naïve Bayes, Support Vector Machines, Decision Trees, and Random Forest.
Apply statistical and analytical methodologies, including hypothesis testing, experimental design, and data validation.
Use data science tools and programming languages, with hands‑on proficiency in Python or R.
Requirements
Bachelor's degree in Engineering, Computer Science, or a related discipline
Design, build and support integrations between Anaplan and enterprise finance systems to ensure accurate, secure, and timely financial data movement for reporting, budgeting, and forecasting.
Responsibilities
Define integration designs, source to target mappings and data flows between Anaplan, ERP systems and data platforms
Develop and automate data imports and exports using appropriate Anaplan interfaces and enterprise integration tools
Implement transformations, validation rules and reconciliation checks for accounts, entities, cost centres and financial values
Opportunity to develop automation and observability solutions that directly contribute to the efficiency and reliability of Unified Communications and network operations.
Hands-on exposure to modern DevOps, cloud, containerisation, monitoring, data analytics and automation technologies.
Collaboration with network specialists and technical teams while solving operational challenges in a large-scale telecoms environment.
Opportunity to contribute to automation initiatives from identifying the requirement through development, testing, deployment, troubleshooting and optimisation.
Continued technical development through evolving collaboration technologies and operational tooling.
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