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Engineer • uxbridge on

Last updated: 30+ days ago

MongoDB Engineer

Cynet SystemsGreater Toronto Area, ON
Full-time

We are seeking an experienced MongoDB Engineer to design, implement, secure, and automate MongoDB environments at scale.The role focuses on database architecture, performance optimization, infrastr...Show more

Technical Consultant (DevOps/AI)

iTmethods Inc.GTA, ON, CA
Full-time
Quick Apply

Tmethods builds sovereign AI infrastructure for regulated industries.For 20 years, we've earned the trust of 100+ enterprise customers in financial services, healthcare, pharma, semiconductor, defe...Show more

AI Engineer

Texada SoftwareGreater Toronto Area, Ontario, Canada
Full-time

As an AI Engineer at Texada, you will play a pivotal role in shaping our AI strategy and leading the adoption of cutting-edge AI solutions.Your role will involve collaborating with cross-functional...Show more

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MongoDB Engineer

MongoDB Engineer

Cynet SystemsGreater Toronto Area, ON
30+ days ago
Job type
  • Full-time
Job description

Job Description:
  • We are seeking an experienced MongoDB Engineer to design, implement, secure, and automate MongoDB environments at scale.
  • The role focuses on database architecture, performance optimization, infrastructure automation, and collaboration with application and governance teams.
Requirement/Must Have:
  • Strong experience administering MongoDB replica sets and sharded clusters in production environments.
  • Hands-on experience with Ansible automation using roles and collections.
  • Solid Linux system administration skills.
  • Strong understanding of database security, backup, and recovery strategies.
  • Scripting experience using Bash and/or Python.
Experience:
  • 5+ years of experience administering MongoDB in production environments.
  • 3+ years of experience working with Ansible automation.
  • Experience with performance tuning and capacity planning.
Responsibilities:
  • Design replica set and sharded cluster architectures based on workload requirements.
  • Implement schema and index designs following MongoDB document modeling best practices.
  • Perform capacity planning covering CPU, memory, storage, and I/O requirements.
  • Tune database performance through index optimization and query analysis.
  • Design and maintain backup and restore strategies.
  • Implement database security controls including role-based access, encryption, auditing, and least-privilege access.
  • Monitor database health using metrics, logs, and observability tools.
  • Manage database lifecycle activities including upgrades, patching, and maintenance.
  • Develop and maintain Ansible playbooks for database provisioning and configuration.
  • Automate rolling upgrades, patching, and configuration drift remediation.
  • Collaborate with application teams on data modeling and performance optimization.
  • Create and maintain standards, runbooks, and technical documentation.
  • Support compliance, readiness, and disaster recovery testing activities.
Should Have:
  • Experience working in regulated or compliance-driven environments.
  • Exposure to database performance engineering and optimization initiatives.
Skills:
  • MongoDB architecture and administration.
  • Ansible automation and infrastructure-as-code.
  • Linux system administration.
  • Networking, storage, and security fundamentals.
  • Bash and Python scripting.
  • Database performance tuning and monitoring.
Qualification And Education:
  • Bachelor’s degree in Computer Science, Engineering, or a related discipline.
  • Relevant database or automation certifications are a plus.