2 hours ago
Toronto, CanadaEntry Level / Mid Level

Responsibilities

  • Implement and integrate approved Agentic AI solutions within enterprise applications.
  • Build and maintain Python automation scripts and integration components.
  • Connect Agentic AI workflows with enterprise systems, services, documents, structured data, and data pipelines.
  • Support retrieval workflows and data integration involving Snowflake, Informatica Cloud, and approved enterprise sources.
  • Assist with AWS and Snowflake workload deployment, environment validation, testing, releases, troubleshooting, and operational handover.
  • Maintain application logging, metrics, dashboards, alerts, documentation, operational procedures, and support runbooks.
  • Monitor and investigate service failures, runtime errors, retrieval performance, token usage, data-processing issues, and integration problems.
  • Collaborate with Data Engineering, Security, Architecture, Cloud, and Operations teams on access, integrations, and production readiness.
  • Support ongoing production operations while following security, access-control, environment, version-control, testing, and documentation standards.

Requirements

  • A university degree in Computer Science, Software Engineering, Information Technology, or equivalent experience.
  • 1–3 years of experience in software development, cloud engineering, DevOps, or a related technical role.
  • Good Python development skills and experience building scripts, automation solutions, or integration components.
  • Basic knowledge of Agentic AI concepts including prompting, Retrieval-Augmented Generation, tool calling, and structured outputs.
  • Experience with Git, GitHub Actions, Docker or Podman, SQL, REST services, backend systems, or enterprise applications.
  • Working experience with AWS services and cloud-based application environments.
  • Understanding of data integration, ETL or ELT concepts, and structured data.
  • Basic production-support knowledge covering logging, monitoring, and troubleshooting.
  • Preferred exposure to Amazon Bedrock, AgentCore, SageMaker, Agentic AI frameworks, MCP, observability and evaluation tools, production tracing, Terraform, CloudFormation, Snowflake AI/data capabilities, and Informatica Cloud workflows.
  • Strong problem-solving, documentation, communication, and learning ability.

Benefits

  • 100% remote work arrangement, with flexible hybrid and in-office options also available.
  • Competitive annual base salary of $101,000 to $118,000 plus a discretionary performance bonus.
  • Company RRSP contribution after six months of employment with no employee matching required.
  • Comprehensive health benefits beginning on the first day, including 100% employer-paid premiums and up to $5,000 annually for mental health services and therapy.
  • Parental leave top-up to 100% of salary for 25 weeks.
  • Up to $650 for home office equipment.
  • Generous time-off policy, including two paid volunteer days annually.
  • Professional development opportunities, more than 11,000 training and development courses, tuition reimbursement, and rewards for completing a required designation.
  • Diversity and inclusion programs, Employee Resource Groups, and workplace accommodations upon request.

Tech Stack

AWSDockerGitGitHub ActionsInformaticaPythonSnowflakeSQLTerraform
Fidelity Investments Canada ULC

About Fidelity Investments Canada ULC

1,001-5,000 employees
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