1

On Call Rf Optimization Engineer Jobs in Toronto, ON

Your focus will be on building the reasoning, learning, and optimization infrastructure that ... Partner with the Lead Systems Engineer to integrate intelligent control architectures into the ...

Senior Software Engineer

Toronto, ON · Remote

CA$110K - CA$140K/yr

Performance optimization and scalability work for multi-tenant SaaS environment * DevOps activities--CI/CD pipelines (TeamCity, Octopus), deployment automation, on-call rotation * Handling edge cases ...

Participate in the operations response team (on-call rotation) * Facilitate deployment of new code ... Support deployment strategy through automation, scripting, and workflow optimization * Manage ...

Process Optimization: Drive continuous internal process improvements by automating manual tasks ... Provide on-call and off-business hours support on a rotational basis to ensure system reliability.

Process Optimization: Drive continuous internal process improvements by automating manual tasks ... Provide on-call and off-business hours support on a rotational basis to ensure system reliability.

Geotab is seeking a Senior Software Developer who will be a crucial part of the Optimization Apps ... This may be in the form of on-call or ad-hoc questions relating to how certain features work or ...

Geotab is seeking a Network Engineer who will design, develop, and maintain scalable, highly ... optimization. You will need to work closely with Development Operations, management, cross ...

Design, deploy, and manage Microsoft Azure solutions, ensuring optimal performance, security, and ... RCA for high severity issue, CRQ Deployments during weekends and holidays. * On Call Support: shift ...

Design, deploy, and manage Microsoft Azure solutions, ensuring optimal performance, security, and ... RCA for high severity issue, CRQ Deployments during weekends and holidays. * On Call Support: shift ...

... and cost optimization * Respond to incidents, perform root cause analysis, and implement ... Participate in on-call rotation providing after-hours support for critical workloads. * Apply your ...

Drive performance optimization and system efficiency * Participate in on-call rotations and take ... Mentor engineers and raise the engineering bar through code reviews and design discussions

... optimization opportunities. * Incorporate the Bank's risk appetite and risk culture into all ... May participate in an on-call pager rotation to support production systems as needed Do you have ...

next page

Showing results 1-20

On Call Rf Optimization Engineer information

What are the key skills and qualifications needed to thrive as an On Call RF Optimization Engineer, and why are they important?

To thrive as an On Call RF Optimization Engineer, you need a strong background in wireless communications, radio frequency (RF) principles, network optimization, and typically a degree in telecommunications or electrical engineering. Familiarity with network analysis tools such as TEMS, Actix, or Atoll, and certifications like CCNA or relevant vendor-specific credentials are often required. Strong problem-solving abilities, attention to detail, and effective communication skills help in quickly addressing network issues and collaborating with cross-functional teams. These competencies ensure optimal network performance, rapid issue resolution, and high-quality service for end users.

What are some common challenges faced by On Call RF Optimization Engineers, and how can they effectively manage urgent network issues outside of regular hours?

On Call RF Optimization Engineers often encounter urgent network performance issues, such as unexpected signal degradation, interference, or outages, which require immediate analysis and resolution. Managing these challenges involves quickly diagnosing problems using remote monitoring tools, coordinating with field teams, and implementing temporary or permanent fixes under time pressure. Effective communication, staying updated with the latest network technologies, and having a well-organized escalation process are crucial for efficiently handling off-hour incidents. Proactive preparation, such as maintaining up-to-date documentation and scripts, can help streamline troubleshooting during critical situations.

What does an On Call RF Optimization Engineer do?

An On Call RF Optimization Engineer is responsible for monitoring, analyzing, and improving the performance of radio frequency (RF) networks, often in the telecommunications industry. They respond to urgent network issues, troubleshoot problems, and adjust network parameters to ensure optimal coverage and quality. Their work helps maintain reliable mobile and wireless communication services, minimize dropped calls, and improve data speeds. Since the role is 'on call,' engineers must be ready to address network emergencies outside regular hours.

What is the difference between On Call Rf Optimization Engineer vs Rf Optimization Engineer?

AspectOn Call Rf Optimization EngineerRf Optimization Engineer
ResponsibilitiesResponds to network issues, performs real-time optimization, and handles urgent troubleshootingPerforms routine network optimization, analysis, and planning
Work EnvironmentOn-call, often remote or field-based, available 24/7 for emergenciesOffice-based, scheduled hours, focused on proactive optimization
CredentialsSimilar certifications (e.g., RF or wireless engineering), with emphasis on troubleshooting skillsSame certifications, with focus on network planning and analysis

The On Call Rf Optimization Engineer primarily handles urgent, real-time network issues and requires availability outside regular hours. In contrast, the Rf Optimization Engineer focuses on routine optimization tasks and network planning during scheduled hours. Both roles share similar credentials but differ mainly in their work environment and immediate response responsibilities.

What are the most commonly searched types of Rf Optimization Engineer jobs in Toronto, ON? The most popular types of Rf Optimization Engineer jobs in Toronto, ON are:
What are popular job titles related to On Call Rf Optimization Engineer jobs in Toronto, ON? For On Call Rf Optimization Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching On Call Rf Optimization Engineer jobs in Toronto, ON look for? The top searched job categories for On Call Rf Optimization Engineer jobs in Toronto, ON are:
Principal Software Engineer - Platform, Identity and BI

Principal Software Engineer - Platform, Identity and BI

Calabrio

Toronto, ON

Other

Posted 24 days ago


Job description

Are you driven by innovation and looking to thrive in a fast-paced, growing environment? Join us at Calabrio-Verint and be part of our dynamic team! Help us in reshaping the landscape of customer experience - where every interaction becomes an opportunity, and every insight drives meaningful change.

Calabrio-Verint are the trailblazers in customer experience intelligence! Revolutionizing the way organizations connect with their customers, we empower businesses to elevate every interaction to new heights. Our cutting-edge cloud platform, coupled with AI-driven analytics tools, unlocks the true essence of customer sentiment, turning data into actionable insights with lightning speed.

We are seeking a Principal Software Engineer to lead the architecture and development of on our Platform and Identity or Business Intelligence and data platform teams. This role requires deep expertise in AWS, full stack Java and Python development, data management, identity standards, and a proven track record of building enterprise-scale software as a service solutions. As a Principal Engineer, you will be a technical leader and strategic advisor, driving architectural decisions that impact millions of users globally.

**Candidate must be located in Ontario or British Columbia.*

What you'll be doing:

  • Architect and develop large-scale, mission-critical platform services for millions of users across the globe, leveraging AWS native technologies including Lambda, ECS/EKS, Athena, RDS, Redshift, Glue, and S3 using common Java and Python frameworks and libraries.
  • Build and maintain sophisticated back-end services and related front-end applications using Java, Python, React, and related modern web technologies.
  • Develop and maintain Identity and Platform related REST APIs with event-driven architectures to enable seamless integration between platform services, analytics tools, and customer-facing applications.
  • Lead the design and implementation of robust data pipelines, data lakes, and data warehouses using modern architectures (Iceberg, Parquet, columnar formats) to support real-time and batch analytics at scale.
  • Drive technical strategy and architectural decisions for the Platform, including query optimization, performance tuning, and cost optimization across AWS services.
  • Design and implement efficient data storage solutions across relational databases (SQL Server, Redshift, PostgreSQL) and non-relational databases (DynamoDB, S3), ensuring optimal performance and cost-efficiency.
  • Serve as the technical lead and mentor for engineering teams, conducting architecture reviews, code reviews, and providing guidance on complex technical challenges.
  • Collaborate with cross-functional teams including data engineers, analytics engineers, product managers, and DevOps to deliver innovative Platform, Identity and BI solutions that drive business value.
  • Champion engineering excellence by establishing best practices, design patterns, and coding standards for data-intensive applications.
  • Evaluate and integrate emerging AWS services and open-source technologies to continuously improve platform capabilities and developer productivity.
  • Troubleshoot and resolve complex performance issues in distributed data systems, optimizing query performance, data processing workflows, and infrastructure costs.
  • Participate in strategic planning and roadmap development, translating business requirements into scalable technical solutions.
  • Contribute to the team on-call rotation, providing expert-level support for production environments and mentoring team members on incident response.