Architecture and Research Engineer responsible for designing scalable AWS serverless architectures and researching AI-driven solutions. Collaborating with teams to enhance systems and optimize workflows through innovative technologies.
Responsibilities
Design and implement AWS serverless architectures to enhance system scalability and reduce operational costs.
Conduct research on autonomous operations and AI-driven solutions to optimize business processes and workflows.
Develop proof of concepts and prototypes to demonstrate the capabilities of serverless and autonomous systems.
Collaborate with data scientists and AI specialists to integrate machine learning models into serverless applications.
Analyze existing systems and propose enhancements by adopting serverless technologies and automation techniques.
Prepare technical documentation and present findings to stakeholders, ensuring alignment with business goals.
Stay current with industry trends and emerging technologies related to cloud computing, AI, and automation.
Requirements
Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
Experience: Minimum of 4 years of experience in cloud architecture, specifically with AWS services.
Proven experience in designing and implementing serverless applications using AWS Lambda, API Gateway, and related services.
Strong understanding of cloud-native design patterns and best practices.
Experience with AI and machine learning frameworks and best practices is a plus.
Proficiency in programming languages such as Python, JavaScript, or Java.
Familiarity with infrastructure as code tools like AWS CloudFormation or Terraform.
Knowledge of containerization technologies (e.g., Docker, AWS Fargate) and orchestration tools.
Experience with monitoring and logging tools for serverless applications.
Excellent analytical and problem-solving skills.
Strong communication skills to convey technical concepts to non-technical stakeholders.
A proactive and collaborative approach to work, thriving in a team environment.
Ability to manage multiple projects while adhering to deadlines.
Experience in implementing AI solutions in a serverless environment.
Familiarity with DevOps practices and CI/CD pipelines.
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