About the group:
Cognizant’s Cloud, Infrastructure, and Security Services Practice (CIS), is all about accepting digital transformation by driving core modernization holistically across layers. We help customers transform infrastructure and workplace to meet the constantly evolving needs of the digital era. Our broad approach delivers key results for our customers by achieving cloud driven modernization and workplace and operational transformation to own the business in a secure environment.
Role: AWS Sr. Cloud Engineer
Location Toronto, ON
Mandatory skills: AWS Core Services (CloudWatch, VPC, Subnets,ALB, R53, VPC Endpoints, and PrivateLink, AWS Compute Optimizer, AWS Cost Explorer, AWS Budgets,
Medium: AWS RedShift, Amazon Aurora, AWS CDK with Typescript
• Build and operate container infrastructure using Amazon ECS, AWS Fargate, ECS Services, Task Definitions, Fargate Spot, and Application Auto Scaling for reporting workloads.
• Provision and manage Dev, SIT, UAT, and Production infrastructure using AWS CDK with Typescript, ensuring repeatable and standardized AWS deployments.
• Configure AWS networking using Amazon VPC, Subnets, Route Tables, Security Groups, ALB, Route 53, VPC Endpoints, and PrivateLink in line with approved enterprise patterns.
• Implement ECS/Fargate auto scaling, including scheduled scaling, queue-backlog-based scaling where applicable, capacity thresholds, scale-in protection, and workload-specific scaling policies.
• Implement infrastructure observability using Amazon CloudWatch, Container Insights, CloudWatch Logs, Logs Insights, Alarms, Dashboards, and Anomaly Detection for latency, utilization, queue depth, and container health.
• Implement AWS infrastructure security using IAM, KMS, Secrets Manager, Security Groups, CloudTrail, and CloudWatch Logs, following least-privilege, encryption, and audit requirements.
• Provision and manage infrastructure configurations for Amazon Aurora/Aurora Serverless and Amazon Redshift/Redshift Serverless, including capacity limits, connectivity, security, availability, scaling, and monitoring.
• Perform capacity and cost optimization using AWS Compute Optimizer, Cost Explorer, AWS Budgets, Cost Anomaly Detection, Container Insights, and Fargate Spot.
• Engineer and support AWS infrastructure for high availability, resiliency, chaos testing, production parallel run, cutover, rollback, and hypercare, including infrastructure troubleshooting and recovery.
• Perform infrastructure monitoring, troubleshooting, demand analysis, and capacity planning using CloudWatch, CloudWatch Logs Insights, Container Insights, CloudTrail, Athena, Compute Optimizer, and Cost Explorer.
Compensation: We are offering between $115,000 – $127,000. Applications will be accepted until Oct 23, 2026.Cognizant will only consider applicants for this position who are legally authorized to work in US without requiring employer sponsorship, now or at any time in the future.
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
