Senior Microsoft 365 Engineer securing Charger Logistics' Microsoft cloud environment. Owning identity, endpoint management, compliance, automation, and governance.
About the role
- Senior Operational Engineer modernizing Sun Life’s Microsoft Teams Telephony and Amazon Connect platforms. Supporting AWS, AI-enabled infrastructure, DevOps, and regulated financial-services operations.
Responsibilities
- Partner with business teams to plan, prioritize, and execute Financial Centre migrations to Microsoft Teams Telephony
- Gather requirements and develop telephony and AI-enabled capabilities with stakeholders, analysts, architects, and technology partners
- Support scalable, secure, and supportable cloud solutions aligned with architecture, security, and governance standards
- Develop high-level designs, detailed technical designs, and implementation approaches
- Operationally support and enhance Amazon Connect and associated AWS services
- Participate in Agile delivery and DevOps practices, including CI/CD, infrastructure automation, and platform monitoring
- Identify opportunities to use AI, automation, and cloud-native services to improve efficiency and client experience
- Provide subject matter expertise and mentor operations teams through coaching and documentation
- Create and maintain operational procedures, knowledge articles, standards, and support documentation
- Evaluate emerging technologies, industry trends, and AI capabilities for innovation and process improvement
- Participate in incident response, change management, and operational support to maintain service stability and availability
Requirements
- Bachelor’s degree in computer science, Engineering, Information Technology, or equivalent combination of education and relevant industry experience
- 3-5 years of experience designing, delivering, and supporting cloud-based technology solutions
- 2+ years of hands-on experience supporting AWS services and enterprise telephony platforms, preferably Amazon Connect and/or Microsoft Teams Telephony
- Experience developing and supporting AWS Lambda solutions using Python
- Understanding of cloud architecture principles and AWS service capabilities
- Experience in regulated environments involving security, privacy, compliance, and risk management
- Knowledge of ITIL practices, including incident, problem, and change management
- Experience with Agile delivery frameworks and distributed or remote teams
- Experience managing and supporting AWS environments and cloud infrastructure
- Experience with DevOps tools and practices including Terraform, Jenkins, Bitbucket, Ansible, and CI/CD pipelines
- AI mindset with practical application of AI and automation technologies
- Strong verbal and written communication skills
- Experience designing, implementing, or supporting AI-enabled cloud solutions
- Knowledge of contact centre architectures, customer experience platforms, and telephony technologies
- Experience with AWS AI and machine learning services such as Amazon Lex, SageMaker, Comprehend, or Bedrock
- Ability to complete Reliability Status Clearance, including law enforcement inquiry and credit check
- Must satisfactorily complete applicable background checks before starting and during employment
Benefits
- Wellness programs supporting mental, physical, and financial health
- Variety of career paths and networking opportunities
- Hybrid work flexibility, with choice to work from home or in the office based on business and Client needs
- Incentive plans for eligible employees, discretionary and subject to individual and company performance
- Accommodation support for persons with disabilities
- Diverse and inclusive workplace
- AI-supported candidate sourcing, screening, and interview scheduling
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