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Principal Software Engineer – Security (AI/ML)

DigitalOcean · Bengaluru

New
Hybrid Senior 🇬🇧 English
Python Go Adversarial machine learning OWASP LLM Top 10 MITRE ATLAS NIST AI RMF ISO/IEC 42001 EU AI Act

Job description

About the role

DigitalOcean is seeking a Principal Software Engineer to lead AI/ML security initiatives across its cloud platform. You will work within the CISO organization, partnering with product, data‑science and engineering teams to embed security controls into customer‑facing AI services.

Key responsibilities

  • Define and integrate AI security controls into DigitalOcean products, collaborating with Product Security and Engineering leadership.
  • Build and deploy detection strategies, guardrails and automation with Security Data Science, and implement inference endpoints for in‑house AI/ML models.
  • Lead adversarial testing and AI red‑team activities, including jailbreak, prompt‑injection, evasion, poisoning and model‑extraction tests.
  • Conduct threat modeling across the AI lifecycle and own the AI Security strategy, roadmap and governance framework.
  • Represent AI security at executive and board‑level briefings, communicating risk posture and program progress.

Required profile

  • 15+ years in cybersecurity with 4–5 years focused on AI/ML security, adversarial machine learning or security data science.
  • Proven track record of defining and driving AI security programs at an organizational level.
  • Deep practitioner‑level knowledge of adversarial ML attacks and defenses (evasion, poisoning, model extraction, membership inference, prompt injection).
  • Experience translating academic AI security research into engineering guidance and policy.
  • Strong ability to communicate technical risk to senior leadership and justify investment decisions.

Required skills

  • Python
  • Go
  • Adversarial machine‑learning techniques
  • AI security frameworks: OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, EU AI Act
  • AI red‑team and defensive tooling, model supply‑chain frameworks

What we offer

  • Purpose‑driven, innovative environment focused on simplifying cloud and AI.
  • Career development resources, conference and training reimbursement, and LinkedIn Learning access.
  • Well‑being benefits including Employee Assistance, flexible time‑off and local meet‑ups.
  • Competitive salary, performance‑based bonus and equity compensation.
  • Equal‑opportunity workplace that values diversity and inclusion.

Questions fréquentes

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Source : ats:greenhouse

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Published 4 hours ago

Expires 1 month from now

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DigitalOcean

Bengaluru