Abnormal Security

Senior Software Engineer - Backend - Multi-Product Platform (Customer Journey)

Abnormal Security
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6 months ago
Bengaluru, IndiaSenior
H1B Sponsor

Responsibilities

  • Build and iterate on product offerings, APIs, platforms, frameworks, and tools.
  • Design, develop, and maintain feature buildouts supporting a high-quality customer experience.
  • Build systems that streamline customer onboarding and proof-of-value experiences.
  • Ensure the stability and reliability of delivered systems.
  • Participate in code reviews, design reviews, and the team-wide on-call rotation.
  • Write readable, testable production code that accounts for edge cases and errors.
  • Write and review technical design documents.
  • Collaborate with product managers, designers, and engineers on projects and roadmaps.
  • Own projects, drive positive impact, and contribute to long-term planning and knowledge sharing.

Requirements

  • 7+ years of industry experience with strong software engineering fundamentals.
  • Strong production Python experience and experience working with Postgres databases.
  • Experience designing resilient, scalable applications with a focus on operational excellence.
  • Ability to own and drive complex systems end to end and influence cross-team goals and roadmaps.
  • Strong understanding of service health, monitoring, fault tolerance, and incident response practices.
  • Ability to make practical technical trade-offs, write technical design documents, and lead adoption of proposed solutions.
  • Strong attention to code quality, testing, performance, and edge cases.
  • Strong communication, mentorship, autonomy, and asynchronous collaboration skills.
  • Golang and Airflow orchestration experience are preferred.
  • Familiarity with ChatGPT, Cursor, and other GenAI productivity tools is preferred.

Tech Stack

Apache AirflowGoPostgreSQLPython

Categories

Abnormal Security

About Abnormal Security

1,001-5,000 employees

Abnormal AI is the leading AI-native human behavior security platform, leveraging machine learning to stop sophisticated inbound attacks and detect compromised accounts across email and connected applications.

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