Cloud Architect

Tekskills Inc.
Norcross, GA Full Time
POSTED ON 7/23/2024 CLOSED ON 7/28/2024

What are the responsibilities and job description for the Cloud Architect position at Tekskills Inc.?

Job Title              : Cloud Architect

Location              : Norcross, Georgia (Onsite)

Duration             : Full Time

 

Job Description:

You will design and implement highly available, fault-tolerant, and scalable cloud architectures on AWS using microservices principles.

You will also develop and deploy applications on AWS GovCloud (US), therefore, all candidates must have direct experience with GovCloud.

 

You Will:

•       Design and implement highly available, fault-tolerant, and scalable cloud architectures on AWS using microservices principles.

•       Proficiency in deploying applications on AWS GovCloud (US)

•       Develop and enforce cloud governance policies and procedures

•       Architect and implement CI/CD pipelines for automating the deployment and delivery of microservices-based applications.

•       Collaborate with DevOps and infrastructure teams to design and implement scalable, secure, and cost-effective AWS infrastructure using services like EC2, ECS, Lambda, RDS, Clickhouse, Timeseries, etc.

•       Lead the design and development of Java-based microservices, ensuring best practices for performance, security, and maintainability.

•       Ensure adherence to security and compliance requirements in AWS environments, implementing IAM policies, encryption mechanisms, and network security controls.

•       Optimize the performance and scalability of microservices-based applications, leveraging AWS services like Auto Scaling, Elastic Load Balancing, and caching strategies.

•       Establish monitoring, logging, and alerting solutions for AWS environments using CloudWatch, CloudTrail, and X-Ray to ensure high availability and reliability.

 

You Will Need:

•       5 years of experience with AWS Cloud (US GovCloud) - required.

•       Experience with AWS infrastructure using services like EC2, ECS, Lambda, RDS, Clickhouse, Timeseries, etc.

•       Experience with implementing the transfer of streaming payloads from edge devices to IoT Core and from IoT Core to Kafka.

•       Experience on data ingestion using MQTT broker, AWS Glue(ETL), Influx DB.

•       Working knowledge of Amazon sage maker, Amazon kinesis data analysis and Machine Learning

•       Experience on Visualization tools like ReactWeb etc.

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