Python Security Ops Automation Engineer

Turtle Trax S.A.; Región Centro; Remote; MXN 320,000 - 480,000; Full time

Job summary

Turtle Trax S.A. is seeking a Python Developer to join its Security Operations team in a role focused on automation and process optimization.

You will identify opportunities to improve operational efficiency and develop automation solutions, delivering proof‑of‑concept projects that help security teams work smarter and faster. You will collaborate with stakeholders involved in detecting phishing attacks, brand abuse, and other cyber threats, leveraging Python and modern automation technologies

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field or equivalent experience.
• 2–3 years hands-on Python development experience.
• 1–2 years SQL for data analysis and reporting.
• 1–2 years in cybersecurity, information security, or security operations.
• Strong analytical and problem-solving skills.
• Experience with APIs and automation frameworks.
• Ability to communicate with technical and non-technical stakeholders.
• Fluent English (written and verbal).

Responsibilities

• Identify opportunities to improve operational efficiency through automation.
• Develop automation solutions and optimize processes.
• Create proof-of-concept projects to showcase new ideas.
• Collaborate with stakeholders involved in detecting threats like phishing and brand abuse using Python and automation technologies.

Skills

Python

APIs

Automation

SQL

Cybersecurity

Data analysis

English

Communication

Education

Bachelor's degree in Computer Science / Software Engineering

Tools

REST APIs

Job description

Turtle Trax S.A. is seeking a Python Developer to join its Security Operations team in a role focused on automation and process optimization.

You will identify opportunities to improve operational efficiency and develop automation solutions, delivering proof‑of‑concept projects that help security teams work smarter and faster. You will collaborate with stakeholders involved in detecting phishing attacks, brand abuse, and other cyber threats, leveraging Python and modern automation technologies