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.
Requirements
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!
Benefits