Architecture and Research Engineer - AWS Serverless & AI Technologies

flatgigsKarachi, Sindh, Pakistan

On-site Full-time

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Experience Level

Experience

Qualifications

Preferred QualificationsExperience in deploying AI solutions within a serverless context. Familiarity with DevOps practices and CI/CD pipelines.

About the job

Key Responsibilities

Architect and implement AWS serverless solutions to boost system scalability and minimize operational costs.
Research autonomous operations and AI-driven methodologies to refine business processes and workflows.
Develop proof of concepts and prototypes showcasing the potential of serverless and autonomous systems.
Work closely with data scientists and AI experts to integrate machine learning models into serverless applications.
Evaluate existing systems and recommend enhancements through the adoption of serverless technologies and automation practices.
Generate technical documentation and present results to stakeholders, ensuring strategic alignment with business objectives.
Keep abreast of industry trends and emerging technologies in cloud computing, AI, and automation.

Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related discipline.
Experience: At least 4 years of hands-on experience in cloud architecture, particularly with AWS services.
Demonstrated expertise in designing and deploying serverless applications utilizing AWS Lambda, API Gateway, and associated services.
In-depth understanding of cloud-native design patterns and best practices.
Experience with AI and machine learning frameworks is advantageous.

Technical Skills

Skilled in programming languages such as Python, JavaScript, or Java.
Familiarity with Infrastructure as Code (IaC) 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 architectures.

Soft Skills

Exceptional analytical and problem-solving abilities.
Strong verbal and written communication skills to articulate technical concepts to non-technical audiences.
A proactive, collaborative approach, thriving in team settings.
Ability to juggle multiple projects while meeting deadlines.

Preferred Qualifications

Experience in deploying AI solutions within a serverless context.
Familiarity with DevOps practices and CI/CD pipelines.

This opportunity is perfect for individuals who are passionate about leveraging cutting-edge technologies to drive innovation and efficiency.

About flatgigs

flatgigs is a forward-thinking tech company committed to pushing the boundaries of technology through innovative solutions in cloud computing and AI. Our dynamic environment fosters creativity and collaboration, allowing talented individuals to thrive.

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Architecture and Research Engineer - AWS Serverless & AI Technologies

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Full-time|On-site|Karachi, Sindh, Pakistan

Join our innovative team at flatgigs as an Architecture and Research Engineer, where you will specialize in AWS serverless and AI-driven technologies. This role is crucial in enhancing our technological capabilities, requiring creative problem-solving and a zest for discovering new solutions that utilize serverless architectures and autonomous operations. You will work collaboratively with cross-functional teams to design and implement scalable, efficient systems grounded in cloud-native technologies.Key ResponsibilitiesArchitect and implement AWS serverless solutions to boost system scalability and minimize operational costs.Research autonomous operations and AI-driven methodologies to refine business processes and workflows.Develop proof of concepts and prototypes showcasing the potential of serverless and autonomous systems.Work closely with data scientists and AI experts to integrate machine learning models into serverless applications.Evaluate existing systems and recommend enhancements through the adoption of serverless technologies and automation practices.Generate technical documentation and present results to stakeholders, ensuring strategic alignment with business objectives.Keep abreast of industry trends and emerging technologies in cloud computing, AI, and automation.QualificationsEducation: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related discipline.Experience: At least 4 years of hands-on experience in cloud architecture, particularly with AWS services.Demonstrated expertise in designing and deploying serverless applications utilizing AWS Lambda, API Gateway, and associated services.In-depth understanding of cloud-native design patterns and best practices.Experience with AI and machine learning frameworks is advantageous.Technical SkillsSkilled in programming languages such as Python, JavaScript, or Java.Familiarity with Infrastructure as Code (IaC) 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 architectures.Soft SkillsExceptional analytical and problem-solving abilities.Strong verbal and written communication skills to articulate technical concepts to non-technical audiences.A proactive, collaborative approach, thriving in team settings.Ability to juggle multiple projects while meeting deadlines.Preferred QualificationsExperience in deploying AI solutions within a serverless context.Familiarity with DevOps practices and CI/CD pipelines.This opportunity is perfect for individuals who are passionate about leveraging cutting-edge technologies to drive innovation and efficiency.

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