Arkose Labs

Senior Software Engineer, Detection

Arkose Labs · Pune, India

Posted 22 days ago

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

Is this posting real?

This role has been open
22 days
Arkose Labs's roles stay open a median of 24 days
Reposted
No
Salary listed
No
40% of Arkose Labs's roles list one
Ghost-job risk at Arkose Labs
low
0 stale, 0 reposted of 5 open
Hiring momentum
7 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

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

About this role

As a Senior Software Engineer on the Detection team at Arkose Labs, you will own complex detection features from requirements gathering to production rollout. Your work will involve building high-throughput, low-latency services that process various risk signals, collaborating cross-functionally with other teams, and mentoring junior engineers. You will also design automated testing strategies and contribute to the architectural direction of detection capabilities.

Our read on this posting3.4out of 5
benefits
4/5
freshness
4/5
career value
4/5
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 Arkose Labs as an employer.

What you need

  • 5+ years building production backend services in Go, Python, Node.js, or Java (4+ years with a Master's degree)
  • Hands-on daily use of AI coding tools such as Claude Code, GitHub Copilot, or Cursor
  • Strong experience with cloud-hosted microservices and distributed systems at scale
  • Solid database experience across relational and NoSQL systems
  • Working knowledge of web and HTTP fundamentals, including DNS, TLS, caching, and CDNs
  • Experience designing and driving automated testing strategies

Nice to have

  • Machine learning background, such as model integration, feature engineering, or applied ML in a fraud, risk, or trust context
  • Frontend experience (React or similar) for full-stack detection tooling
  • Experience with containers and orchestration (Docker, Kubernetes)
  • Exposure to CI/CD pipeline design, ideally with AI-assisted test generation or code review

What you get

  • Competitive salary + Equity
  • Beautiful office space with many perks
  • Robust benefits package
  • Gym Stipend
  • Provident Fund
  • Accident Insurance

Worth weighing

  • No salary listed
  • Role involves working with complex systems under real attack scenarios
  • Hybrid work model may require flexibility in office attendance

Summarised from Arkose Labs's posting. Read the full original.

Listed by Arkose Labs on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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