Cognizant Technology Solutions is seeking for “Cloud & Technology Architect “Who could join in our team of IT professionals in a permanent role. If you meet our background requirements and skills and looking for an opportunity to be rewarded for your skills and expertise, here is the ideal opportunity for you!
Job title: Cloud & Technology Architect
Job Location: Irving, TX
Duration: Fulltime with Cognizant
Job Summary:
We seek highly skilled and experienced Cloud & Technology Architect to lead the design, development, and implementation of innovative solutions by integrating Generative AI (GenAI) into our Software Development Lifecycle (SDLC) application. This role involves architecting robust, scalable, and secure cloud-native solutions on platforms like AWS, Azure, or GCP, specifically leveraging GenAI to enhance developer productivity, code quality, testing efficiency, documentation, and overall SDLC velocity. The ideal candidate will possess deep expertise in cloud architecture, SDLC methodologies, and the practical application of Generative AI technologies.
- Architecture & Design: Design and architect end-to-end cloud solutions (AWS, Azure, GCP), incorporating GenAI capabilities to support and optimize various stages of the SDLC.
- Develop reference architectures, blueprints, and best practices for integrating GenAI tools and models (e.g., code generation/completion, automated testing script generation, documentation creation, security analysis) into CI/CD pipelines, IDEs, and other developer tools.
- Ensure designs are scalable, resilient, secure, cost-effective, and aligned with enterprise standards and compliance requirements.
- Stay abreast of emerging trends and advancements in cloud computing, DevOps, and Generative AI, assessing their potential impact on our SDLC.
- Implementation & Collaboration: Lead proof-of-concept (PoC) initiatives and pilot projects to validate GenAI use cases within the SDLC.
- Collaborate with development teams, DevOps engineers, security specialists, and product managers to integrate architected solutions into the existing SDLC framework.
- Provide technical leadership and guidance during the implementation phase, ensuring adherence to architectural designs and best practices.
- Develop Infrastructure as Code (IaC) templates (e.g., Terraform, CloudFormation, ARM/Bicep) for provisioning and managing required cloud resources.
- Governance & Optimization: Define monitoring and observability strategies for GenAI-enhanced SDLC applications running in the cloud.
- Establish governance frameworks for the use of GenAI within development processes, focusing on security, data privacy, intellectual property, and cost management.
- Continuously analyze and optimize the performance, cost, and efficiency of the implemented solutions.
Required Qualifications:
- Bachelor’s degree in computer science, Engineering, or a related technical field (or equivalent practical experience).
- 5+ years of experience as a Cloud Architect, Solutions Architect, or similar role, with proven experience designing and implementing solutions on major cloud platforms (AWS, Azure, or GCP).
- Strong understanding of modern SDLC methodologies (Agile, DevOps) and associated tools (e.g., Git, Jenkins, GitLab CI, Azure DevOps, Jira).
- Demonstrable understanding of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, vector databases, and common use cases.
- Hands-on experience integrating AI/ML services or APIs into applications or workflows. Experience specifically with GenAI APIs/services is highly desirable.
- Proficiency in Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation, ARM/Bicep).
- Experience with containerization technologies (Docker, Kubernetes).
- Solid understanding of cloud security principles, identity and access management, and network architecture.
- Excellent analytical, problem-solving, and communication skills.
- Ability to collaborate effectively with cross-functional teams.
Preferred Qualifications:
- Master’s degree in a relevant technical field.
- Professional cloud certifications (e.g., AWS Certified Solutions Architect Professional, Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect).
- Experience fine-tuning LLMs or working with GenAI frameworks (e.g., LangChain, LlamaIndex).
- Experience with MLOps principles and platforms.
- Hands-on experience with specific GenAI-powered developer tools (e.g., GitHub Copilot, Amazon CodeWhisperer, Tabnine).
- Experience architecting solutions for regulated industries.
- Proficiency in scripting languages (e.g., Python, Bash)
Salary and Other Compensation:
The annual salary for this position depends on experience and other qualifications of the successful candidate.
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.
About Cognizant
Headquartered in the U.S, Cognizant is a member of the S&P-500, Nasdaq-100, Fortune 200, and was recently ranked as the #1 Fastest Growing “All Star” by Fortune Magazine. Cognizant leverages a highly flexible business model, a seamless global delivery network, and deep domain expertise to deliver to a long list of world-class companies that are leaders in their own space.
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