AWS Cloud Engineer
Pranathi Software Services offers great opportunities for career development. Our people are what make us strong. Communication skills and technical expertise are important for our company. Everything we do is centred on teamwork. The staff at our company is open to relocating anywhere in the United States.
At Pranathi Software Services, we offer cutting-edge technology and a commitment to fostering your career. We offer a competitive benefits package. Learn more about it here.
Together, let's make it happen!
Experience : 3 years
Shift Timings : Afternoon shift
Qualification : Graduation
Location : Hyderabad, Telangana
Mode of Operation : Work From Office
Number of Openings : 2
Gender : Male
Benefits :
Salary Package :
Job Description :
We are seeking an enthusiastic AWS Cloud Engineer with a focus on Linux to join our team. Your role will be pivotal in shaping and implementing cutting-edge cloud solutions while harnessing the power of Amazon Web Services (AWS). An understanding of cloud computing principles, particularly in AWS, including scalability, elasticity, and cost optimization, is vital.
Qualifications:
Strong understanding of AWS cloud computing principles, with a focus on scalability, elasticity, and cost management.
Proficiency in Amazon S3, AWS Lambda, Amazon EC2, and AWS IAM.
Familiarity with ML and AI services on AWS.
Good knowledge of data storage services such as Amazon S3, Amazon RDS, and Amazon DynamoDB.
Familiarity with scripting languages, particularly Python.
Understanding of DevOps, CI/CD practices, containerization, and infrastructure as code.
Linux expertise for seamless integration within AWS environments.
If you are passionate about crafting innovative AWS solutions with expertise in Linux, and possess a strong foundation in cloud computing principles, we invite you to apply. Join us in transforming cloud solutions while creating impact and driving excellence in technology.
Roles & Responsibilities :
Roles & Responsibilities:
Cloud Architecture Expertise:
Apply cloud computing principles to design scalable, robust architectures on AWS, emphasizing Linux compatibility.
Incorporate concepts of scalability, elasticity, and cost-effectiveness into solution designs.
AWS Proficiency:
Create and manage AWS accounts for streamlined service access.
Develop a fundamental understanding of Amazon SageMaker for deploying machine learning models.
Key AWS Services:
Leverage Amazon S3 for effective data storage and management.
Apply basic AWS Lambda knowledge to enable serverless compute capabilities.
Launch and oversee Amazon EC2 instances for diverse compute tasks.
Understand AWS IAM to configure user roles and permissions effectively.
ML and AI Familiarity:
Gain familiarity with AWS services like Amazon SageMaker, Amazon Rekognition, Amazon Comprehend, Amazon Polly, and Amazon Lex for machine learning and AI integration.
Data Storage Expertise:
Exhibit familiarity with key data storage services like Amazon S3, Amazon RDS, and Amazon DynamoDB to optimize data management strategies.
Scripting Proficiency:
Possess knowledge of scripting languages, especially Python, to enhance automation and efficiency.
DevOps and CI/CD Mastery:
Collaborate on DevOps practices, including CI/CD pipelines, to ensure smooth software delivery.
Embrace containerization using tools like Docker and maintain infrastructure using CloudFormation and Terraform.
Required Key Skills :
Strong understanding of AWS cloud computing principles, with a focus on scalability, elasticity, and cost management. Proficiency in Amazon S3, AWS Lambda, Amazon EC2, and AWS IAM. Familiarity with ML and AI services on AWS. Good knowledge of data storage services such as Amazon S3, Amazon RDS, and Amazon DynamoDB. Familiarity with scripting languages, particularly Python. Understanding of DevOps, CI/CD practices, containerization, and infrastructure as code. Linux expertise for seamless integration within AWS environments.
Candidates Profile : AWS Cloud Engineer