Abnormal

Software Engineer II - ADEX

Abnormal · Hybrid - Bangalore, India

Posted about 3 months ago · Previously reposted

or apply directly on Abnormal's site. We never take the application ourselves.

Is this posting real?

This role has been open
83 days
Abnormal's roles stay open a median of 86 days
Reposted
Yes
taken down and listed again at least once
Salary listed
No
1% of Abnormal's roles list one
Ghost-job risk at Abnormal
high
69 stale, 6 reposted of 69 open
Hiring momentum
117 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-29

Measured from postings appearing on and disappearing from Abnormal's own greenhouse board since 2026-08-03. Full hiring picture for Abnormal.

About this role

As a Software Engineer II on the ADEX Team, you will design, build, and operate detection systems focused on impersonation threats. Your role involves owning detection projects from conception through to deployment, analyzing missed attacks, and enhancing detection capabilities using AI. You will collaborate with engineers and data scientists to ensure the reliability and scalability of detection systems while participating in on-call duties and contributing to team culture.

Our read on this posting2.4out of 5
benefits
1/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Abnormal as an employer.

What you need

  • 3+ years of professional software engineering experience, with a track record of shipping and operating production systems.
  • Strong software engineering fundamentals: data structures, algorithms, system design basics, testing, debugging, and clean, maintainable code.
  • Strong Python proficiency and comfort learning new languages and frameworks as needed.
  • Solid data-analysis instincts. You are comfortable with SQL and reasoning over large datasets to find signals in noise.
  • A detection or adversarial mindset. You enjoy thinking like an attacker, reading real attack samples, and asking, 'How would I get past this?'
  • Genuine fluency with AI-native development. You already use AI coding agents in your daily work and are excited to build LLM-powered detection, not just consume AI tools.

Nice to have

  • Experience with distributed systems, high-throughput pipelines, or large-scale data stores (e.g., PostgreSQL, DynamoDB, Redis, RocksDB, Kafka, Spark, OpenSearch/Elasticsearch).
  • Background in security, threat detection, anti-abuse, fraud detection, or trust and safety, particularly systems processing high volumes of email or communication data.
  • Experience with ML or LLM evaluation: precision/recall tradeoffs, eval harnesses, prompt iteration.
  • Familiarity with domain and DNS concepts (such as typosquatting and homoglyphs) or with identity and impersonation signals.
  • Experience with large-scale data tooling (e.g., Databricks, Spark, Airflow) and distributed pipelines.

Worth weighing

  • The role involves working with AI and requires a strong understanding of AI-native development, which may not suit all candidates.
  • The position requires ownership of ambiguous projects, which may be challenging for those who prefer clear, defined tasks.
  • No specific salary or benefits are mentioned in the posting, which could be a consideration for candidates evaluating the opportunity.

Summarised from Abnormal's posting. Read the full original.

Listed by Abnormal on their greenhouse job board, last confirmed open on 2026-10-29. PitchMeAI is not the employer.

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