Senior Performance Testing Engineer - Manager
- Vancouver, BC, Canada
$110,000 to $140,000 CAD / year · Full-time
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Job details
- Pay
- $110,000 to $140,000 CAD / year
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
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.
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.
- 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.
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.
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
Categories
- Technology
- Software
- Engineering
- Management & Leadership
- Retail
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