Architecture and Research

As an Architecture and Research Engineer focusing on AWS serverless and Autonomous Operations or AI-Driven technologies, you will play a pivotal role in advancing our technological capabilities. This position requires innovative thinking and a passion for exploring new solutions that leverage the power of serverless architectures and autonomous operations. You will collaborate with cross-functional teams to conceptualize and design scalable and efficient systems based on cloud-native technologies.

Key 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.

Qualifications

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.

Technical Skills

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.

Soft Skills

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.

Preferred Qualifications

Experience in implementing AI solutions in a serverless environment.

Familiarity with DevOps practices and CI / CD pipelines.

This role is ideal for someone passionate about exploring innovative solutions that leverage the latest in cloud and AI technologies. If you are eager to drive change and explore cutting-edge architectures, we would love to hear from you!

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