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Python Automation Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Signify Technology
Full Time position
Listed on 2026-09-14
Job specializations:
  • Software Development
    Python, DevOps
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR
Job Description & How to Apply Below

About The Role

My client are for a Python Automation Engineer to design, build, and maintain automation tools and scripts that streamline our workflows, reduce manual effort, and improve operational efficiency across the organization.

Job Title:

Python Automation Engineer What You'll Do
  • Design, develop, and maintain automation scripts and tools using Python
  • Identify manual, repetitive processes and build solutions to automate them
  • Integrate automation tools with internal systems, APIs, and third-party services
  • Build and maintain CI/CD pipeline automation
  • Write clean, well-documented, and testable code that other teams can rely on and extend
  • Monitor and troubleshoot automation tooling in production, resolving issues quickly
  • Collaborate with cross-functional teams to understand workflow pain points and translate them into automation requirements
  • Maintain version control and documentation for all automation tools and scripts
What We're Looking For
  • Strong proficiency in Python, including experience building tools used by other people/teams
  • Experience with REST APIs and integrating with third-party services
  • Familiarity with version control systems (Git)
  • Experience with CI/CD tools and pipelines (e.g., Jenkins, Git Hub Actions, Git Lab CI)
  • Comfortable working with Linux/Unix environments and shell scripting
  • Understanding of software testing principles (unit testing, test automation)
  • Strong problem-solving skills and attention to detail
  • Ability to work independently and manage multiple automation projects
  • Clear communication skills, able to explain technical solutions to non-technical stakeholders
Nice to Have
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Familiarity with containerization (Docker, Kubernetes)
  • Experience with infrastructure-as-code tools (Terraform, Ansible)
  • Background in Dev Ops or security automation
  • Experience with data processing libraries (Pandas, etc.)
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