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Hi Recruiters,

Greetings!!!!

This is Yatika from SAGE IT Inc. Kindly share relevant resume for below role.

Role: AWS Cloud Engineer
Location: Remote (Preferably Pacific time zone but not limited)
Contract role 

Client: HCL (Candidate should not be submitted with HCL in the past 3 months)

USC/GC would not work

Only share candidates who are comfortable sharing PP number!!!

Job Description:

• As a Senior Software Engineer, you will be at the forefront of designing, developing, and maintaining advanced AI-driven solutions, Slackbot integrations, and robust AWS infrastructure.
• You will work closely with crossfunctional teams to innovate, optimize, and deliver scalable solutions that enhance our operations and business processes.
• Your expertise in Python, AI technologies, and cloud infrastructure will be crucial in driving the success of our digital transformation initiatives.

Responsibilities:

• AI and Machine Learning Integration: Design, develop, and implement AI-driven solutions to automate and enhance business processes, including predictive analytics, natural language processing, and machine learning models.
• Slackbot Development: Create and maintain custom Slackbots that integrate with various internal systems, providing automated support, notifications, and interactive tools for team collaboration.
• AWS Infrastructure Management: Architect, deploy, and manage AWS infrastructure to support scalable applications, including setting up EC2 instances, S3 storage, Lambda functions, and other AWS services.
• Collaboration and Cross-Functional Support: Work closely with data scientists, DevOps engineers, and other stakeholders to translate business requirements into technical solutions, ensuring alignment with overall strategic goals.
• Automation and Scripting: Develop scripts and tools to automate deployment, monitoring, and maintenance tasks, ensuring high availability and performance of the systems.
• CICD Pipeline Management: Implement and maintain CICD pipelines to streamline development processes, ensuring rapid delivery of high-quality code.
• Performance Optimization: Conduct performance tuning, troubleshooting, and debugging of AI models, Slackbots, and infrastructure components as needed.
• Stay Current with Emerging Technologies: Continuously research and integrate new tools, technologies, and best practices related to Python development, AI, and cloud infrastructure.

Requirements:

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience: 5+ years of experience in software engineering with a strong focus on Python development, AI technologies, and cloud infrastructure.
• Proficiency in Python: Extensive experience in Python programming, with a deep understanding of Python libraries and frameworks such as TensorFlow, PyTorch, Flask, and Django.
• AI Expertise: Proven experience in developing and deploying AI models, including familiarity with machine learning algorithms, natural language processing, and data analysis techniques.
• Slackbot Development: Experience in building and maintaining Slackbots, with knowledge of Slack APIs and integration best practices.
• AWS Infrastructure: Strong expertise in AWS services, including EC2, S3, Lambda, CloudFormation, and other related technologies.
• Enterprise Platform Integration: Experience with integrating platforms like Databricks, ServiceNow, Workday, and other SaaS applications, ensuring seamless data exchange and process automation.
• Automation and Scripting: Proficiency in scripting and automation tools, with a focus on automating cloud infrastructure and deployment processes.
• CI/CD and DevOps: Experience with CI/CD pipelines, version control systems (e.g., Git), and containerization technologies (e.g., Docker, Kubernetes).
• Problem-Solving Skills: Excellent analytical and problem-solving abilities, with a proactive approach to identifying and resolving technical challenges.
• Communication Skills: Strong verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
• Agile Methodologies: Familiarity with Agile development practices and experience

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