About the role
As a Senior AWS Engineer , you will make an impact by designing and delivering cloud-native, AI-driven platforms using AWS services and agentic architectures. You will be a valued member of the engineering team and work collaboratively with application, data, security, and platform teams to build scalable, enterprise-grade solutions.
**Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future**
In this role, you will:
Design and build scalable APIs and microservices using AWS Lambda, ECS, and EKS
Architect and implement end-to-end solutions leveraging AWS Bedrock AgentCore, including memory, observability, identity, and gateway components
Develop and integrate agentic workflows and AI-driven solutions across enterprise platforms
Integrate AWS Connect with backend systems and intelligent workflows to enable enhanced customer interaction capabilities
Build and manage infrastructure as code using AWS CloudFormation and AWS CDK, while ensuring robust CI/CD pipelines using GitHub Actions
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 Jupiter, Florida . Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
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
8+ years of experience
Strong hands-on experience with AWS cloud services and cloud-native architectures
Proven experience building scalable APIs using AWS Lambda and container-based services (ECS and/or EKS)
Hands-on experience developing and implementing solutions using AWS Bedrock AgentCore
Experience designing and integrating MCP servers or similar agent orchestration frameworks
Expertise in Infrastructure as Code using AWS CloudFormation and AWS CDK
Experience designing and maintaining CI/CD pipelines using GitHub Actions
Demonstrated experience working in complex, multi-team enterprise environments
Experience integrating AWS Connect with backend systems or intelligent workflows
Exposure to AI/LLM-based platforms, agent orchestration, and observability frameworks
These will help you stand out
Experience integrating AWS Connect with Bedrock AgentCore-based agentic workflows
Experience with AWS Novasonic, particularly when integrated with AWS Connect
Background in spec-driven development practices
Hands-on experience with AI-assisted development tools such as Windsurf or SpecIt
Strong understanding of enterprise observability, security, and scalable system design principles
Salary and Other Compensation:
The annual salary for this position depends on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
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.
