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About the role

  • Application Support Specialist supporting AI and business applications for Marsh, a global risk and management consulting company. Monitoring systems, troubleshooting incidents, and delivering technical solutions across hybrid Canadian teams.

Responsibilities

  • Support production and business applications, monitor application health, and proactively identify and escalate issues
  • Handle user-facing production issues, requests, and data or information needs
  • Support AI applications through triage, debugging, and troubleshooting
  • Maintain understanding of applications, processes, and stakeholders while supporting online business teams
  • Triage and clarify incident and service-request tickets with onshore and offshore stakeholders
  • Analyze tickets, coordinate with IT teams, and implement technical solutions for software and usability issues
  • Monitor application and server health, logs, and alerts; escalate issues and validate fixes through stakeholder testing
  • Perform root cause analysis for high-priority incidents and prepare incident reports
  • Communicate updates about tickets, deployments, outages, and changes; develop client communications for rollouts, downtime, functionality, training, and documentation
  • Ensure adherence to SDLC, change-management, implementation, and support processes
  • Produce service-management summary reports and contribute to process and application improvements
  • Provide on-call and off-hours support, including weekends, and accommodate off-hours conference calls
  • Analyze incident data and logs to identify patterns and improvement opportunities
  • Manage improvisation projects in Application Support and participate in ideation and gigs

Requirements

  • Degree in Computer Science or Information Technology
  • At least 2 years of experience in AI application support
  • Monitoring experience with Datadog and LangSmith tools
  • Hands-on support and development experience with one or more of MEAN/MEARN stack, PostgreSQL, MS SQL Server, REST/JSON/GraphQL APIs, Postman/Bruno, and GitHub
  • Scripting knowledge of Python
  • Practical experience with Docker and/or Kubernetes containerization and orchestration
  • Experience supporting multi-tier Internet/Intranet applications using common design patterns
  • Strong understanding of API principles including HTTP methods, REST, JSON, SOAP, and GraphQL
  • Familiarity with Apigee and AWS API Gateway
  • Experience with ITSM and monitoring tools such as ServiceNow, JIRA, Datadog, or Splunk
  • Minimum one year of AI monitoring experience with Datadog or LangSmith
  • Understanding of traditional and LLM AI models, model lifecycle, bias/accuracy, and model drift
  • Knowledge of prompt engineering, MCP, RAG, token management, and AI KPIs
  • Excellent English communication skills
  • Strong debugging, troubleshooting, analytical, and design capabilities
  • Strong track record of process optimization
  • Organizational and time-management skills, ability to learn quickly, quality consciousness, and commitment to deadlines
  • Availability for on-call and off-hours support, including weekends
  • ITIL certification, AWS/Azure cloud knowledge, and offshore-onsite delivery experience are stand-out qualifications

Benefits

  • Professional development opportunities
  • Supportive leaders and interesting work
  • Inclusive and flexible work environment
  • Health and welfare benefits
  • Tuition assistance
  • Retirement programs
  • Employee assistance programs
  • Performance-based incentives may be available
  • Flexible remote work and office collaboration

Job type

Full Time

Experience level

JuniorMid level

Salary

CA$86,500 - CA$136,500 per year

Degree requirement

Bachelor's Degree

Tech skills

AWSAzureCloudDockerGraphQLITSMKubernetesMS SQL ServerPostgresPythonSDLCServiceNowSOAPSplunkSQL

Location requirements

HybridTorontoCanada

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