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Python and AWS Developer/Lead (Dallas)
Python and AWS Developer/Lead (Dallas)Confidential • Dallas, TX, US
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Python and AWS Developer / Lead (Dallas)

Python and AWS Developer / Lead (Dallas)

Confidential • Dallas, TX, US
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.part_time]
[job_card.job_description]

About the Company : We are looking for an experienced PYTHON-AWS Full Stack Developer with strong skills in Python development, cloud automation, and Infrastructure as Code (IaC). The right candidate will have hands-on expertise in AWS services such as Glue, Lambda, EventBridge, S3, IAM, Redshift, API Gateway, and CloudFormation. Familiarity with GitLab source control, Terraform, CI / CD pipelines, and containerization tools like Kubernetes and Docker is highly preferred.

About the Role : The role involves developing, deploying, and maintaining serverless applications and managing AWS infrastructure.

Responsibilities :

  • Develop, deploy, and maintain serverless applications using AWS Lambda, Glue, EventBridge, and API Gateway.
  • Design and manage AWS infrastructure using Terraform and CloudFormation templates.
  • Work with AWS Redshift to support data analytics and reporting solutions.
  • Manage IAM roles, policies, and security configurations across AWS services.
  • Build and maintain GitLab CI / CD pipelines for automating builds, testing, and deployments of Python-based applications.
  • Optimize AWS S3 storage for performance, security, and cost-efficiency.
  • Design and maintain microservices architectures using AWS-native services.
  • Deploy and manage containerized applications using Docker and Kubernetes.
  • Architect solutions to ensure scalability, high availability, and operational excellence on AWS.
  • Collaborate with engineering, security, and business teams to integrate AWS solutions with broader enterprise applications.

Qualifications :

  • AWS Services : Strong hands-on experience with Glue, Lambda, EventBridge, API Gateway, IAM, Redshift, CloudFormation, and S3.
  • Infrastructure as Code : Skilled in using Terraform and CloudFormation to automate AWS infrastructure.
  • Python Development : Solid experience in building and automating solutions using Python.
  • CI / CD and GitLab : Proficient in managing GitLab repositories and setting up automated pipelines.
  • Containers & Orchestration : Hands-on experience deploying and managing containers with Docker and Kubernetes.
  • Automation & DevOps : Strong ability to automate infrastructure, deployments, and testing using AWS and third-party tools.
  • Security Best Practices : Good understanding of AWS security standards, IAM management, and role-based access controls.
  • Pay range and compensation package : [Include pay range or salary or compensation details here]

    Equal Opportunity Statement : [Include a statement on commitment to diversity and inclusivity here]

    ```

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