Software Escalation Engineer (Python)

6 Minutes ago • 5 Years + • Programming • $90,000 PA - $120,000 PA

Job Summary

Job Description

This exciting opportunity is with a pioneer in data security, leveraging an AI-driven cloud-native platform to discover and classify sensitive data, eliminate vulnerabilities, and detect sophisticated threats. The role involves developing and improving server-side web applications, ensuring system consistency, and enhancing user experience. Responsibilities include participating in the full application lifecycle, coding, debugging, and maintaining functional web applications to meet company needs.
Must have:
  • Responsible for the server-side of web applications
  • Develop new applications and improve existing ones
  • Ensure system consistency and enhance user experience
  • Develop and maintain functional, stable web applications to meet company needs
  • Participate in the entire application lifecycle, focusing on coding and debugging
  • Strong programming skills in Python
  • Write clean code to develop functional web applications
  • Troubleshoot and debug applications
  • Perform UI tests to optimize performance
  • Manage cutting-edge technologies to improve legacy applications
  • Collaborate with Front-end developers to integrate user-facing elements with server-side logic
  • Gather and address technical and design requirements
  • Provide training and support to internal teams
  • Build reusable code and libraries for future use
  • Liaise with developers, designers, and system administrators to identify new features
  • Follow emerging technologies
  • 5+ years in software development
  • Minimum 2 years building large-scale systems using Python
  • Strong analytical and time management abilities
  • Team-oriented with a proactive, problem-solving mindset
Good to have:
  • Familiarity with asynchronous programming
  • Familiarity with performance-critical application development
  • Experience with AWS
  • Experience with Docker
  • Experience with microservices architecture
  • Background in Machine Learning
  • Proficiency in algorithm development, including collaborative filtering, similarity measures, data normalization, and clustering

Job Details

We have an exciting opportunity to join a company that is a pioneer in the data security space. This client tackles challenges that go beyond traditional cybersecurity. Their cloud-native Data Security Platform leverages AI-driven automation to continuously discover and classify sensitive data, eliminate vulnerabilities, and detect sophisticated threats.

About the role:

  • Responsible for the server-side of web applications
  • Develop new applications and improve existing ones
  • Ensure system consistency and enhance user experience
  • Develop and maintain functional, stable web applications to meet company needs

Responsibilities:

  • Participate in the entire application lifecycle, focusing on coding and debugging
  • Strong programming skills in Python
  • Write clean code to develop functional web applications
  • Troubleshoot and debug applications
  • Perform UI tests to optimize performance
  • Manage cutting-edge technologies to improve legacy applications
  • Collaborate with Front-end developers to integrate user-facing elements with server-side logic
  • Gather and address technical and design requirements
  • Provide training and support to internal teams
  • Build reusable code and libraries for future use
  • Liaise with developers, designers, and system administrators to identify new features
  • Follow emerging technologies

Requirements:

  • 5+ years in software development
  • Minimum 2 years building large-scale systems using Python (Required)
  • Strong analytical and time management abilities
  • Team-oriented with a proactive, problem-solving mindset
  • Familiarity with asynchronous programming and performance-critical application development
  • Experience with AWS, Docker, and microservices architecture
  • Background in Machine Learning
  • Proficiency in algorithm development, including collaborative filtering, similarity measures, data normalization, and clustering

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