Python Developer

Skeletons, lasers, monster trucks — the Torq brand grabs attention like nothing else in cybersecurity. And we’re growing like crazy, with $70M in Series C funding, 200% employee growth, and 300% revenue growth in 2024. Fueling Torq’s growth are our game changing agentic AI security solutions, backed by a team and culture that makes Torq one of Forbes’ Best Startup Employers in America, and a Business Insider ‘startup to bet your career on’.

Life at Torq is all gas, no brakes. We’re a team of relentless, collaborative go-getters pushing the boundaries of what’s possible for security automation. Every role is an essential driver of Torq’s success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500. Excited about our vision and ready to make an impact as we grow? We’d love to see what you can bring to the team.

We are looking for an experienced Python Developer to join our fast-growing company during a breakthrough stage, as we build our dream team of the most passionate and professional people in the industry. Our team thinks differently and quickly, delivering high-quality and unique code while using the latest technologies and frameworks - all without forgetting to enjoy the ride!

What You’ll Do?

• Take part in all development aspects, from design to production, of a wide hybrid/cloud-native product
• Write high-quality, testable, and efficient code using Python and Go
• Initiate and promote new ideas for continuous improvement of product functionality
• Work closely with other team members, as well as mentoring new team members
  
  

• Excellent communication skills, with a passion for mentoring, leading, and guiding others
• Minimum 3 years of hands-on experience developing Python in production and at scale
• Experience with Go is a strong advantage
• Significant real-world experience building software for production systems
• Proficiency in working with cloud infrastructure and services
• Exposure and experience with CI/CD, DevOps, Kubernetes, Docker, and monitoring technologies
• A creative mindset and collaborative approach
• Ability to solve complex technical challenges in a fast-paced, dynamic environment
• Strong testing abilities - considering both automated testing and monitoring to improve team efficiency and production reliability