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Software Engineer II - Customer Journey Team

  • Source: LinkedIn
  • Abnormal AI
  • Hybrid
  • Bengaluru
  • Mid level

Job Description

About The Role Abnormal AI is redefining cybersecurity with an AI-native platform that protects modern enterprises from advanced email attacks, account compromise, and human-targeted threats. We’re looking for a Software Engineer II – Backend to join the Customer Journey team, which builds the product and platform experiences that help customers onboard quickly and successfully — reducing manual work, improving reliability, and moving customers from initial setup to full activation. As a SWE2, you will build scalable backend systems that improve onboarding quality, speed, and time-to-value, with an expectation to leverage modern AI development tools to build faster and ship higher-quality software.

What You Will Do

  • Leverage AI development tools to enhance productivity, optimize workflows, and deliver reliable production outcomes
  • Build backend services and workflows that make POV onboarding smoother, faster, and more self-serve for customers
  • Design scalable systems that provide end-to-end visibility across onboarding processes and reduce dependency on downstream modules
  • Develop and improve core backend systems across tenant management, onboarding orchestration, setup tooling, and command center experiences
  • Collaborate with engineers and cross-functional partners to deliver impactful solutions for customers and internal teams
  • Build reliable APIs and backend architectures that support enterprise-grade onboarding workflows at scale
  • Take ownership of features end-to-end, from design and implementation through testing, rollout, and production validation

Must Haves

  • 3+ years of professional experience in software development
  • Backend development experience with Python and/or Golang
  • Experience with AI development tools such as Cursor, GitHub Copilot, or Claude
  • Experience building scalable, enterprise-grade applications
  • Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
  • Strong fundamentals in computer science, data structures, debugging, and performance optimization

Nice to Have

  • Experience building onboarding, provisioning, workflow orchestration, or platform automation systems
  • Familiarity with backend systems that provide process visibility, status tracking, or operational tooling
  • Experience with distributed systems, service-oriented architectures, or event-driven workflows
  • Exposure to tenant lifecycle management, setup automation, or enterprise SaaS platform workflows
  • Experience improving service reliability, resiliency, and observability in production systems
  • Experience working on cybersecurity, enterprise SaaS, or customer-facing platform products

AI-Augmented Development Challenge Once you apply, you’ll be invited to our AI-Augmented Development Challenge, where you’ll gain hands-on experience with AI-powered tools like Cursor and Copilot to build real-world application features. This challenge is a take-home assignment, requiring 2–4 hours of work to be completed within one week — apply when you’re ready!

AI and our hiring process Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person.

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here . If you would like more information on your EEO rights under the law, please click here .

Skills

  • Python
  • Golang
  • Cursor
  • Github
  • gitHub-copilot
  • amazon-web-services
  • google-cloud-platform
  • microsoft-azure
  • Docker
  • Kubernetes
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