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CLOUD OPERATION ENGINEER_BHAWNA BANSAL

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

India

Offer summary

Qualifications:

University degree in Computer Science, Mathematics, Engineering or related field, 5+ years experience in cloud technologies, specifically with AWS.

Key responsabilities:

Design, automate and manage scalable cloud deployment
Automate deployments and manage applications on AWS
Develop systems focusing on scalability, performance, & security
Interact with stakeholders, engineering, data science teams.
Perform root cause analysis & prevent repetitive problems.

CodersBrain Management Consulting SME https://www.codersbrain.com/

201 - 500 Employees

See more CodersBrain offers

Job description

Hello,

Greetings from Coders Brain Technology Pvt. Ltd.Coders Brain is a global leader in its services, digital, and business solutions that partners with its clients to simplify, strengthen, and transform their businesses. We ensure the highest levels of certainty and satisfaction through a deep-set commitment to our clients, comprehensive industry expertise, and a global network of innovation and delivery centers.

Location:Remote

Position: Permanent with Coders Brain Technology Pvt. Ltd.

Client-http://letsachive.com/

Experience:5+Years

Notice Period: Immediate to 7 days only

Role: Cloud Operations Engineer

Job Description

Skills:

University degree in Computer Science, Mathematics, Engineering, or related field.
5+ years of experience in cloud technologies
Experience working with AWS Cloud data platform.
Managing EC2, Elastic Kubernetes Service (Amazon EKS), AWS Code Pipeline/ Code Deploy, Cloud Front, Cloud Watch, Glue, Batch, Lambda, FSx, API Gateway, VPC, S3, and other key AWS components services on a day-to-day basis.
Experience with EMR, Redshift and/or Kinesis would be nice to have.
Experience with IaC (Terraform, Cloud Formation)
Experience in automation, specifically related to deployment, recovery, or other manual processes. Sound knowledge of CI workflows and build/test/deploy automation.
Strong problem-solving skills and passion for solving hard problems as part of a team and by individual investigation. Experience using telemetry to understand throughput, limitations, and constraints in a service
Highly proficient with Unix/Linux/Windows operating systems
Experience with Python/Boto3, Bash, and or PowerShell Plus
Proactive, self-starter with strong detail orientation is critical in this role.
Excellent oral and written communication skills
Good organizational and time management skills
Willingness to learn the concepts of Machine Learning and contribute to those initiatives.
Willingness to learn AWS Sagemaker

Nice to have skills:

Experience working on projects related to Life Sciences or Pharmaceutical business.
Experience or inclination to learn new technologies like Snowflake (https://www.snowflake.com/en/).
AWS Certification

Key Responsibilities:

Design, automate and manage a highly available and scalable cloud deployment that allows development teams to deploy and run their services.
Extensively automated deployments and managed applications on AWS
Interact with internal business stakeholders, engineering and data science teams to develop systems that focus on scalability, high-performance and security.
Manage and prioritize backlog of incidents assigned to you.
Perform root cause analysis on issues that lead to the implementation of processes to prevent repetitive problems.
Monitor automated system alerts, log files, and other monitoring tool outputs to ensure the continuous and smooth running of data lake.
Optimize through automation. You will eliminate manual, repetitive, tactical solutions with no enduring value. You will implement automation for a more sustained and scalable solution, services, and processes, contributing to the continuous improvement of all operations to efficiently manage and maintain deployments.
Build end-to-end documentation to ensure visibility and resiliency throughout the system.
Accountable for determining and implementing specific software and cloud technologies.

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