Freelance Python Developer (Amazon AGI-DS Environment Experience Preferred)

0 years

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Posted:2 weeks ago| Platform: Linkedin logo

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Job Type

Part Time

Job Description

Company Description

ThreatXIntel is a startup cyber security company dedicated to protecting businesses and organizations from cyber threats. Our customized, affordable solutions aim to meet the specific needs of our clients, regardless of their size. We take a proactive approach to security by continuously monitoring and testing digital environments to identify vulnerabilities before they can be exploited.


Role Description

freelance Python Developer

Key Responsibilities:

  • Design, develop, and maintain

    Python-based microservices

    running on AWS.
  • Build and optimize

    serverless applications

    using

    AWS Lambda, ECS containers, Step Functions, Bedrock, and CloudFormation

    .
  • Develop and maintain

    automation pipelines

    for deploying services on AWS.
  • Work with

    CloudWatch

    for monitoring, alerting, and debugging production workloads.
  • Manage and optimize

    S3 storage

    workflows for large-scale data processing.
  • Write clean, efficient, and testable Python code leveraging

    multithreading and concurrency concepts

    .
  • Collaborate with internal Amazon-style teams and adapt quickly to

    internal tools & workflows

    .
  • Troubleshoot and debug complex distributed systems in

    fast-paced environments

    .

Required Skills:

  • Programming Languages:

    Python (expert level).
  • Frameworks/Concepts:

    Microservices, Servlets, Multithreading, REST APIs.
  • Tools:

    Docker, Git.
  • AWS Services:

    Lambda, ECS, Bedrock, Step Functions, CloudWatch, CloudFormation, S3.
  • Development Practices:

    Strong debugging, problem-solving, and optimization skills.

Nice-to-Have:

  • Hands-on experience with

    Amazon internal tools

    (AGI-DS or equivalent).
  • Prior Amazon employment or collaboration experience.
  • Exposure to

    large-scale distributed systems

    in production.

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