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Senior Software Engineer

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Senior Software Engineer in Others

  • Abnormal Security
  • Full time
  • Email
  • Bengaluru, India

Responsibilities

  • Design, build, and iterate on APIs and services for a standardized data access layer.
  • Drive adoption of API-gated data sources so product teams can expose data once for reuse across consuming surfaces.
  • Design data ownership labeling and validation logic for incoming requests.
  • Own reliability, latency, and operational excellence for a high-throughput, low-latency critical-path system.
  • Make early architectural decisions and document them in technical design documents.
  • Establish engineering practices including testing, code and design review, on-call, and CI guardrails.
  • Collaborate with product managers, designers, and engineering teams on shared data-layer adoption.
  • Own projects, influence roadmaps and long-term planning, mentor engineers, and contribute to knowledge sharing.

Requirements

  • 7+ years of industry experience as a senior software engineer with strong software engineering fundamentals.
  • Strong production experience with Python and Golang, plus SQL and NoSQL databases.
  • Experience designing resilient, scalable applications with an emphasis on operational excellence.
  • Proven 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.
  • Ability to make practical technical trade-offs, write technical design documents, and lead their adoption.
  • Strong communication, autonomy, asynchronous collaboration, and mentorship skills.
  • Experience with data access layers, APIs, platforms for other engineering teams, internal platforms as products, or big data platforms and technologies is preferred.
  • Familiarity with ChatGPT, Cursor, and other GenAI productivity tools is preferred.

Abnormal Security

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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