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Added 12 mins ago
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Cognizant

Senior Performance Testing Engineer - Manager

Vancouver, BC, Canada

Pay: $110,000 to $140,000 CAD / year
Job type: Full-time
Apply by: Oct 31, 2026
Posting language: English
Posted: Oct 1, 2026

Apply About employer

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Original job description

We are seeking a Senior Performance Testing Manager to own the performance engineering strategy and ensure the scalability of our complex, cloud-native enterprise applications.. In this role, you will design complex workload models using JMeter, leverage advanced observability tools (Datadog, Splunk), and provide architectural tuning recommendations across Kubernetes environments to ensure seamless end-to-end order processing workflows.

In this role, you will

Analyze application architecture and intake requests to identify high-impact components, define performance testing scope, and establish robust test strategies.
Lead the end-to-end Performance Development Lifecycle (PDLC), developing complex scripts, custom stubs, and solution accelerators using JMeter.
Perform deep-dive root cause analysis (RCA), monitor databases to identify slow queries, and provide actionable architecture and performance tuning recommendations.
Design, build, and configure comprehensive monitoring and observability dashboards using Datadog, Splunk, and AWS CloudWatch.
Validate and optimize application performance across cloud infrastructure, Kubernetes/POD environments, and automated CI/CD pipelines.
Ensure the scalability and reliability of critical retail operations, focusing specifically on Order Management Systems (Sterling OMS), inventory management, and end-to-end order workflows.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Vancouver, BC location. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

Note: The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What You Need To Have To Be Considered

Must have skills: Jmeter , APM tool , OMS, Cloud and observability

Strong expertise in performance engineering with hands-on experience in providing architecture design recommendations and performance tuning solutions.
Ability to understand application architecture, identify components requiring performance evaluation, and perform deep-dive analysis.
Capable of understanding intake requests, identifying areas of impact across the application landscape, and defining the scope of performance testing activities.
Excellent hands-on expertise in JMeter. Should be able to develop scripts, solution accelerators, and custom stubs. Experience across the end-to-end Performance Development Lifecycle (PDLC), including root cause analysis to identify and resolve performance defects.
Strong monitoring and observability experience, preferably using Datadog, Splunk, and AWS CloudWatch. Experience in setting up monitoring and observability dashboards is required.
Expertise in cloud infrastructure, Kubernetes/POD environments, and CI/CD setup is required.
Ability to monitor databases, identify performance-impacting queries, and provide tuning recommendations.

These will help you stand out

Good understanding of the Retail domain, particularly Order Management Systems (OMS), Inventory Management, and end-to-end order processing workflows, with specific knowledge of Sterling OMS functionalities.
Knowledge of Locust and K6 is an added advantage.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Total Compensation

We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between CAD 110,000 – 140,000 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.

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More about this job

Responsibilities

Lead performance engineering strategy and the end-to-end Performance Development Lifecycle, including workload modeling, scripting, monitoring, root cause analysis, and performance tuning. Validate scalability and reliability across cloud, Kubernetes, and CI/CD environments, with a focus on retail order management, inventory, and end-to-end order workflows.

Requirements

Requires strong hands-on performance engineering expertise, advanced JMeter skills, and experience defining test scope, developing scripts and custom stubs, and conducting root cause analysis. Candidates must also have experience with observability dashboards, cloud and Kubernetes environments, CI/CD, and database performance analysis; retail OMS and Sterling OMS knowledge are advantageous.

Skills

Performance Engineering
JMeter
Application Performance Monitoring
Observability
Datadog
Splunk
AWS CloudWatch
Kubernetes
Cloud Infrastructure
CI/CD
Root Cause Analysis
Database Performance Tuning
Architecture Design
Performance Testing Lifecycle
Order Management Systems
Sterling OMS

Benefits

Wellbeing Programs
Performance-Based Bonus

Visa sponsorship

Not detected in the job text

Keywords

Performance Engineering
Performance Testing
JMeter
Datadog
Splunk
AWS CloudWatch
Application Performance Monitoring
Observability
Cloud-Native Applications
Cloud Infrastructure
Kubernetes
Pods
CI/CD
Workload Modeling
Custom Stubs
Solution Accelerators
Root Cause Analysis
Database Monitoring
Slow Queries
Performance Tuning
Architecture Design
Order Management Systems
Sterling OMS
Inventory Management
Retail
Order Processing
Locust
K6

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