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Golang Developer Python C2C - Alpharetta, GA or Remote

Remote / Online - Candidates ideally in
Alpharetta, Fulton County, Georgia, 30239, USA
Listing for: Tech Mirrors
Remote/Work from Home position
Listed on 2026-06-18
Job specializations:
  • Software Development
    Cloud Engineer - Software, Golang, Backend Developer, DevOps
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Golang Developer with Python C2C jobs- Alpharetta, GA or Remote

Senior Software Engineer

Location:

Alpharetta, GA or Remote

Mandatory
  • Golang, Python, Kubernetes, Cloud (AWS / Azure / GCP) – 12 years
Responsibilities
  • Design and build scalable and high-performance data software solutions using Golang and Python.
  • Build and deploy Kubernetes-based systems to manage containerized applications in cloud-native environments.
  • Collaborate with cross-functional teams to understand and address customer needs, ensuring our systems evolve to meet future requirements.
  • Optimize performance, reliability, and security of our backend infrastructure.
  • Work on data modeling and transformation to support machine learning workflows and AI-powered applications.
Skillset
  • 10+ years of hands‑on experience in backend software development, with expertise in Golang and Python.
  • Strong understanding of ETL processes, data pipelines, and working with large datasets.
  • Experience with Kubernetes orchestration, containerization, and cloud-native development.
  • Proficiency in building scalable systems that handle high volumes of data and transactions.
  • Knowledge of cloud platforms (AWS, Azure, or GCP) and their ecosystem tools.
  • Familiarity with monitoring and observability tools (Prometheus, Grafana).
  • Strong problem‑solving skills and a passion for writing clean, maintainable code.
  • Experience with data modeling, transformation, and integration.
  • Experience with orchestration tools (Apache Airflow, Prefect).
  • Familiarity with Kubernetes and container orchestration (Docker, Helm, etc.).
  • Knowledge of monitoring and logging tools for distributed systems (Prometheus, Grafana, ELK stack).
  • Experience with CI/CD pipelines and automated testing.
  • Strong understanding of data modeling, ETL workflows, and data transformation techniques.
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