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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
