Job Title: Sr. AWS Cloud Engineer
Job Location: Hybrid- Minneapolis, MN, USA
** Please note, this role is not able to offer visa transfer or sponsorship now or in the future**
We are seeking a highly skilled Senior AWS Cloud Engineer to design, build, and deliver scalable, secure, and high-performing cloud, DevOps, and data platform solutions across AWS, Azure, and Microsoft Fabric.
This role requires close collaboration with business stakeholders and cross-functional technology teams to architect modern cloud-native systems, optimize enterprise data flows, automate deployments, and enable data-driven decision-making through resilient analytics platforms. The ideal candidate will play a critical role in driving cloud modernization, DevOps transformation, platform reliability, and cloud governance.
Salary and Other Compensation:
The annual salary for this position is between $90,000 to $103,000 depending 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.
In this role, you will
Lead cloud modernization initiatives, including re-architecting and optimizing legacy applications into AWS and Azure cloud ecosystems
Architect and implement cloud-native solutions such as serverless computing, container orchestration, and event-driven architectures
Design and enforce AWS cloud security frameworks, including IAM policies, encryption strategies, key management, and infrastructure-level vulnerability remediation
Implement governance practices including tagging standards, cost optimization (FinOps), and resource compliance monitoring
Develop and automate infrastructure provisioning and lifecycle management using Infrastructure as Code (IaC) tools such as Terraform and AWS CloudFormation
Build and manage CI/CD pipelines using tools like Jenkins, Bitbucket, or equivalent platforms
Establish monitoring, observability, and automated recovery mechanisms to ensure high availability and reliability
Drive adoption and implementation of Microsoft Fabric components including Lakehouse, Pipelines, Data Warehouse, Real-Time Intelligence, and Data Activator
Develop scalable data solutions leveraging Python, AWS Glue, Lambda, Azure Data Factory, and Fabric Pipelines for ingestion, transformation, and orchestration
Define and enforce performance standards, governance models, workspace architecture, and security controls for Microsoft Fabric environments
Build reusable automation utilities using Python and cloud SDKs to enhance operational efficiency
Conduct Proof of Concepts (POCs) to evaluate emerging tools, technologies, and processes for continuous improvement
Lead delivery of complex cloud (AWS), data, and AI initiatives, ensuring effective management of timelines, risks, dependencies, and stakeholder communication
What you’ll need to succeed (required skills)
Bachelor’s degree in computer science, Information Technology, or a related field
8+ years of experience in cloud engineering with strong expertise in AWS cloud infrastructure
Hands-on experience with Terraform and AWS CloudFormation for infrastructure automation
Strong understanding of cloud-native architecture patterns (serverless, containers, event-driven systems)
Experience in implementing AWS security best practices including IAM, encryption, and compliance controls
Proficiency in building CI/CD pipelines using Jenkins, Bitbucket, or similar tools
Strong programming/scripting experience in Python
Experience with monitoring and observability tools in cloud environments
- Solid experience working with data platforms and ETL/ ELT pipelines.
Preferred Skills
Experience with Microsoft Fabric and its core components (Lakehouse, Pipelines, Data Warehouse)
Exposure to multi-cloud environments (AWS + Azure)
Experience with data engineering tools such as AWS Glue, Azure Data Factory, or similar
Familiarity with FinOps practices and cost optimization strategies
Knowledge of AI/ML integration within cloud/data platforms
AWS Certifications (e.g., AWS Solutions Architect, DevOps Engineer) preferred
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
Work model:
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance though our various wellbeing programs. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week at a client location in Minneapolis, MN, USA.
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.
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.
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.
“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, state or local laws.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge 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, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com 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, state or local laws.
