Backend Engineer (Python)

Join core engineering team as a Backend Engineer, where you'll architect and maintain the Python-powered infrastructure. 

We're revolutionizing incident management with AI-powered intelligence. Our mission: dramatically reduce mean time to resolution (MTTR) while streamlining incident triage and accelerating production issue resolution.

Key Responsibilities:

• Build scalable infrastructure: Design and maintain high-performance backend systems and resilient data pipelines using Python
• Data integration expertise: Connect and orchestrate data flows from diverse sources and APIs while maintaining performance at scale
• Cross-functional collaboration: Work directly with cloud and product teams to rapidly iterate based on real customer feedback
• Performance optimization: Diagnose and resolve complex production challenges while maintaining system reliability and uptime

What We're Looking For:

• Python mastery: Deep experience building and scaling production Python systems
• Pipeline expertise: Proven track record with data pipeline architecture, API integration, and performance tuning
• Quality-focused development: Ability to ship clean, maintainable code while meeting aggressive timelines
• Startup agility: Thrives in fast-moving environments where you balance speed of delivery with operational stability
• Operations mindset: Solid understanding of monitoring, alerting, and incident response workflows

Bonus Qualifications:

• Container orchestration experience (Kubernetes, Docker)
• CI/CD pipeline development and management
• Infrastructure as Code proficiency (Terraform, Helm)

Why This Opportunity Matters:

Step into a role with immediate ownership and visible impact. You'll tackle complex problems with real-time consequences, directly influencing how teams worldwide manage critical incidents. Every line of code you write will have measurable effects on customer success and system reliability.

Our Interview Process:

• Initial screening (30 minutes): Connect with  HR  to discuss the role and your background
• Leadership conversation (45 minutes): Meet with our Co-Founder to explore vision alignment and cultural fit
• Technical deep-dive (60 minutes): Demonstrate your problem-solving approach and technical expertise
• Quick decision (within 1 week): Receive comprehensive feedback and our final decision