Principal Software Engineer
DigitalOcean (company site, opens in a new tab)15+ yrsBengaluruOn-siteDirect career pageEst. 45–75 LPA
Posted on 2 Sept
Reach people at DigitalOcean
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at DigitalOcean you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead and define AI security strategy and governance for DigitalOcean, including building policies, standards, and controls for AI/ML systems.
- Partner with security and engineering teams to integrate AI security controls into products, build detection and guardrail tooling, and conduct adversarial AI testing (e.g., jailbreaks, prompt injection).
- Own AI security risk communication at executive/board levels and lead threat modeling and architectural reviews for AI initiatives from design to launch.
Minimum Requirements
- 15+ years in cybersecurity with 4-5 years focused on AI/ML security or adversarial machine learning.
- Strong programming skills in Python and Go with experience building security tooling and automations.
- Bachelor's or Master's degree in Computer Science, Information Security, Mathematics, or related field, or equivalent experience.
- Located in Bengaluru, India; experience with cloud provider or large-scale internet platforms and familiarity with AI security frameworks (OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, EU AI Act).
Ideal Candidate Profile
- Proven track record owning and driving AI or security programs at an organizational/strategic level rather than just execution.
- Deep hands-on knowledge of adversarial ML attacks and defenses with ability to translate academic research into engineering and policy.
- Experience engaging senior leadership and boards to communicate complex AI security risks in business terms and justify investments.