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Freelance Aws Serverless Developer Jobs (NOW HIRING)

AWS Cloud Architect

Plano, TX · On-site

$60.50 - $79.50/hr

AWS Cloud engineer joins a growing competency within the data science team to operationalize a ... Deploy and manage AWS Serverless application running on API Gateway and LAMBDA * Deploy Redshift ...

.Net Developer

Olympia, WA · On-site +1

$51.75 - $68.25/hr

Remote (Washington) Duration: Long Term * Senior Level of experience as an Application Developer with experience in development of AWS Serverless applications. * The Application Developer must have ...

Senior Software Developer

Austin, TX · On-site

$54 - $71.25/hr

Applications are built using JavaScript front\-end frameworks (Angular 6+), and a REST API back end built with NodeJs and AWS serverless technologies. \n \n \n \n \n \n The Senior Software Developer ...

Role: AWS Developer Exp 8-10 years Skills: Digital: Amazon Web Service (AWS) Cloud Computing ... Develop and maintain serverless architectures using AWS services such as API Gateway ...

DevOps Engineer

Boston, MA

$57.25 - $78.50/hr

Plan, build, and maintain AWS serverless infrastructure * Describe new and existing Infrastructure ... Strong experience building and maintaining production systems on AWS (3+ years) * 5+ years DevOps ...

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How much do freelance aws serverless developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for freelance aws serverless developer in the United States is $22.97, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $18.75 per hour, depending on experience, location, and employer.
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$60.50 - $79.50/hr

Full-time

Posted 26 days ago


Job description

AWS Cloud Architect
Location: Client office in Plano, TX ( Onsite interview required)
Duration: Long-term
Start date" Immediate
Job Description:
DXC Team is seeking a AWS Cloud engineer to help configure, deploy and operationalize platforms for data science on AWS. As models, apps, and data pipelines are created and operationalized, the data science team requires engineers with understanding of cloud native technology to develop, manage, automate, and facilitate the deployment and operational capabilities of the data science team. AWS Cloud engineer joins a growing competency within the data science team to operationalize a variety of analytics products on cloud platforms.
Responsibilities:
  • Designing, Configuring, deploying, managing and automating cloud infrastructure (S3, IAM, Redshift, DynamoDB, EC2, VPC, Lambda, CloudWatch, Databricks, Glue, MLops and Athena) that is secure and scalable on AWS to be used by the data science team and extended team.
  • Monitoring and ensure the integrity of data pipelines.
  • Automate Cloud deployments using Terraform.
  • Administering the deployment, management, and monitoring of applications deployed on AWS via CI/CD and/or containers.
  • Ensuring the compliance of the data science operations on AWS.
  • Monitoring usage, cost, and implement optimizations of a variety of AWS resources.
  • Maintaining the Jenkins pipeline and Perform code promotions through change management
  • Provision DynamoDB tables with encryption and grant access using the IAM policies
  • Deploy and manage AWS Serverless application running on API Gateway and LAMBDA
  • Deploy Redshift Clusters into VPC with encryption, enable cross region snapshots, configure subnet groups and setup monitoring, and resize the cluster using elastic and classic methods

Primary Skills:
  • AWS: S3, Redshift, DynamoDB, EC2, VPC, Lambda, CloudWatch etc.
  • Bigdata : Databricks, Cloudera, Glue and Athena
  • Automation: Terraform and Python

Qualifications:
  • Bachelors degree with 14+ years of experience : 8+ years of experience in designing, building, and maintaining AWS Cloud infrastructure and 6+ years of experience in Bigdata administration and/or infrastructure administration.
  • Experience in automating AWS infrastructure using terraform and Python is must.
  • Experience in database technologies is a plus.
  • Knowledge in all aspects of DevOps (source control, continuous integration, deployments, etc.)
  • Proficiency in security implementation best practices on IAM policies, KMS encryption, Secrets Management, Network Security Groups etc.
  • Experience working in the SCRUM Environment.