Platform Engineer
- Toronto, ON, Canada
$100,000 to $120,000 CAD / year · Full-time
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Job details
- Pay
- $100,000 to $120,000 CAD / year
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
Inclusion without Exception
Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.
Tata Consultancy Services (BSE: 532540, NSE: TCS) is the technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence and customer service.
It has set an aspiration to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.
Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients. Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to artificial intelligence today.
Skills and Responsibilities:
Role Overview
We are seeking a highly skilled and experienced Platform Engineer with strong expertise in DevOps, Site Reliability Engineering (SRE), and Observability to join our technology team.
In this role, you will design, implement, automate, and support enterprise-scale platform infrastructure while ensuring the availability, reliability, scalability, security, and performance of mission-critical applications. You will play a key role in driving operational excellence through automation, monitoring, resilience engineering, and continuous improvement.
The ideal candidate will possess deep hands-on experience with Dynatrace, cloud platforms, platform engineering, monitoring, incident management, and SRE best practices.
Key Responsibilities
Platform Engineering & Reliability
- Design, build, and maintain highly available, scalable, and resilient platform infrastructure.
- Implement Platform Engineering and SRE practices across enterprise applications and services.
- Define and manage Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets.
- Drive reliability engineering initiatives focused on availability, scalability, capacity planning, and performance optimization.
- Lead proactive identification and resolution of system reliability and operational risks.
- Support production environments and participate in on-call rotations as required.
- Conduct post-incident reviews and implement preventive measures to improve service reliability.
Observability & Monitoring
- Design and implement enterprise-wide monitoring and observability strategies.
- Develop and maintain monitoring solutions for distributed applications, cloud platforms, infrastructure, middleware, databases, and APIs.
- Configure alerting, anomaly detection, and automated response mechanisms to reduce mean time to detection (MTTD) and mean time to resolution (MTTR).
- Enable effective root cause analysis through comprehensive logging, tracing, and metrics collection.
- Develop operational reports and dashboards that provide actionable insights into system health and performance.
Dynatrace Platform Administration
- Administer and optimize Dynatrace SaaS and Managed environments.
- Deploy, configure, and maintain Dynatrace OneAgent across enterprise platforms.
- Create and manage dashboards, management zones, alerting policies, and reporting solutions.
- Implement synthetic monitoring for critical business applications and APIs.
- Configure and optimize Real User Monitoring (RUM), Digital Experience Monitoring (DEM), and Distributed Tracing capabilities.
- Leverage Davis AI for intelligent anomaly detection and problem analysis.
- Develop and manage custom metrics, extensions, and integrations.
- Perform service flow analysis, log monitoring, and performance diagnostics.
- Build executive, operational, and application performance dashboards to support stakeholders across the organization.
Automation & Continuous Improvement
- Automate operational processes, platform management tasks, and monitoring workflows.
- Contribute to Infrastructure as Code (IaC) and configuration management initiatives.
- Improve platform reliability through continuous optimization, standardization, and automation.
- Collaborate with development, operations, security, and architecture teams to enhance service delivery and operational excellence.
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
- Strong experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE) roles.
- Hands-on expertise with Dynatrace administration and observability implementation.
- Experience supporting large-scale, distributed, cloud-native, or enterprise environments.
- Strong understanding of monitoring, observability, incident management, and reliability engineering principles.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
- Familiarity with Infrastructure as Code (IaC), automation, and CI/CD practices.
- Strong troubleshooting, analytical, and problem-solving skills.
- Excellent communication and stakeholder management skills.
Technical Expertise
Dynatrace
- Dynatrace OneAgent
- Dynatrace SaaS and Managed Platforms
- Dashboards and Reporting
- Synthetic Monitoring
- Real User Monitoring (RUM)
- Digital Experience Monitoring (DEM)
- Distributed Tracing
- Davis AI
- Service Flow Analysis
- Custom Metrics and Extensions
- Log Monitoring and Analytics
- Alerting and Problem Management
Platform & Cloud Technologies
- Cloud Platforms (AWS, Azure, and/or GCP)
- Containers and Kubernetes
- Infrastructure Automation
- CI/CD Pipelines
- Monitoring and Observability Platforms
- API Monitoring and Performance Management
Salary Range - CA$ 100,000 - CA$ 120,000 Per Year
TCS does not use artificial intelligence tools for candidate screening or evaluation. This post is for a current vacancy. The hiring process includes an initial screening, followed by a technical evaluation and managerial discussion.
Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources.
Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.
More about this job
Responsibilities
Design, build, and support reliable, scalable enterprise platforms, applying SRE practices such as SLIs, SLOs, error budgets, incident reviews, and proactive risk reduction. Administer Dynatrace and enterprise observability capabilities, including monitoring, dashboards, alerting, synthetic monitoring, automation, and performance analysis.
Requirements
Requires a bachelor's degree in computer science, information technology, engineering, or a related field, or equivalent practical experience, along with strong experience in platform engineering, DevOps, or SRE. Candidates should have hands-on Dynatrace expertise, experience with large-scale cloud or distributed environments, knowledge of observability and reliability practices, and familiarity with cloud platforms, IaC, automation, and CI/CD.
Skills
- Platform Engineering
- DevOps
- Site Reliability Engineering
- Dynatrace
- Observability
- Cloud Platforms
- AWS
- Azure
- Google Cloud Platform
- Kubernetes
- Infrastructure as Code
- CI/CD
- Incident Management
- Monitoring
- Automation
- Distributed Tracing
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
Keywords
- Platform Engineering
- DevOps
- Site Reliability Engineering
- Dynatrace
- Dynatrace OneAgent
- Dynatrace SaaS
- Dynatrace Managed
- Observability
- Monitoring
- Synthetic Monitoring
- Real User Monitoring
- Digital Experience Monitoring
- Distributed Tracing
- Davis AI
- Service Level Indicators
- Service Level Objectives
- Error Budgets
- Incident Management
- Root Cause Analysis
- AWS
- Azure
- Google Cloud Platform
- Kubernetes
- Infrastructure as Code
- CI/CD
- Automation
- Alerting
- Log Monitoring
- Performance Optimization
- Capacity Planning