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Senior Software Engineer

Abnormal Security

full-remoteseniorpermanentbackend Full remote Today via WTTJ

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Tags

Backend EngineeringPythonGoDjangoMySQLPostgreSQLKafkaRedisElasticsearchLLM Inference

About the role

Role Overview

Join Abnormal AI as a Senior Backend Engineer on the App Foundations team. You will own core platform and customer-centric services, design and operate high-performance, low-latency systems, and help build capabilities in the LLM inference platform. You’ll mentor engineers, partner with product managers, and participate in hiring.

Key Missions

  • Design, build, and operate high-performance, low-latency services across the App Foundations portfolio (API design, distributed systems reliability, LLM inference infrastructure).
  • Lead end-to-end delivery of platform features and stability workstreams, improving SLO-backed reliability and strengthening observability and on-call posture.
  • Mentor engineers through tech design and PR reviews; act as a subject matter expert for systems you own; support hiring and onboarding.

Responsibilities

  • Own Tier-0 systems and drive reliability improvements.
  • Contribute to LLM inference platform work (infrastructure and productionization).
  • Collaborate asynchronously with remote stakeholders.
  • Act as a credible SME and participate in hiring.
  • Use AI coding tools daily and embed AI leverage into engineering workflows.

Requirements

  • 5+ years backend engineering experience building and operating production services at scale.
  • 2+ years system design experience with non-trivial cross-team architectures.
  • 4+ years on relevant stacks: Python (Django) and/or Go, MySQL/PostgreSQL, plus hands-on experience with Kafka, Redis, and Elasticsearch.
  • Experience leading multi-quarter projects end-to-end (design → implementation → launch → post-launch operations).
  • Proven daily use of AI coding tools, with specific examples of workflow improvements.
  • 3+ years supporting enterprise-class customers in production, including SLO ownership, on-call, and incident response.
  • Strong written and verbal communication; ability to collaborate autonomously with remote teams.
  • Hands-on experience building LLMs in production: provider APIs (OpenAI/Anthropic/Bedrock), model routing/fallback, evals, batch inference, and/or cost/quota tooling.

Nice to Have

  • Experience with notification delivery systems and/or licensing/entitlement platforms.
  • Building and shipping AI agents/automations (coding agents, ops agents, classifier pipelines).
  • Opinionated about how AI changes the role of a senior engineer in the next 1–3 years.
  • Master’s degree in Computer Science or related field.
  • Experience mentoring engineers / acting as tech lead on a small squad.

About the Team

This is an AI-native team where AI is treated as core infrastructure, not an experiment.

About Abnormal Security

Abnormal Security is an AI-native cybersecurity company building Abnormal AI and related platform services. The role focuses on customer-centric data, high-performance platform APIs, and contributions to an LLM inference infrastructure.

Scraped 5/13/2026

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