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Principal Software Engineer

DigitalOcean · Posted Sep 23

Cloud infrastructure, virtual machines, managed database, and AI inference services

Bengaluru, IndiaFull-timeHybridLead/Staff15+ years₹1.0Cr–₹1.5Cr yearly100+ applicants
Cloud ComputingCloud InfrastructureIaaSDeveloper ToolsArtificial IntelligencePublic Company
Full time

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About the role

DigitalOcean is a cloud platform company focused on simplifying cloud and AI so builders can create software faster. The Principal Engineer, AI/ML Security joins the CISO’s organization and partners with Security Data Science and Security leadership to own DigitalOcean’s AI security strategy, risk and governance framework, and adversarial testing across the AI lifecycle, while serving as the internal expert and escalation point for all AI-related security risk. The role also leads engagement with the external AI security community and represents AI security at executive and board-level briefings.

What you will do

  • Partner with Product Security and Engineering leadership to define how AI security controls are integrated into DigitalOcean’s customer-facing products
  • Partner with Security Data Science to build and deploy detection strategies, guardrails, and security tooling/automations. Partner with Security Engineering to implement online and batch inference endpoints to serve in-house AI/ML models. Participate in ongoing monitoring of deployed models to detect drift, evaluate performance, and plan and implement improvements alongside model stakeholders.
  • Adversarial testing / AI red teaming: lead jailbreak, prompt-injection, evasion, poisoning, and model-extraction testing
  • Lead security reviews of major AI product initiatives from design through launch, providing architectural sign-off and escalation guidance for high-risk decisions.
  • Threat modeling across the AI lifecycle: data ingestion, training/fine-tuning, evaluation, model serving, RAG, agent frameworks, and post-deployment monitoring
  • Own and drive DigitalOcean’s AI Security strategy and multi-year roadmap, defining where we invest, what risks we prioritize, and how AI security evolves as the threat landscape and product portfolio change.
  • Architect and lead the AI Risk & Governance framework: establishing policies, standards, and controls for the responsible development, deployment, and monitoring of AI/ML systems across DigitalOcean and Cloudways.
  • Represent AI security at executive and board-level briefings; communicate risk posture, program progress, and strategic decisions to the CISO and senior leadership in clear, business-contextualised terms.
  • Define DigitalOcean’s position on emerging AI security topics including agentic AI, model supply chain risk, synthetic data integrity, and AI-enabled social engineering

Skills used in this role

PythonGoAI/ML SecurityAdversarial Machine LearningPrompt Injection DefenseAI Red TeamingThreat ModelingRAGLLM SecuritySecure Model ServingSecurity AutomationAI Risk & GovernanceOWASP LLM Top 10MITRE ATLASNIST AI RMFISO/IEC 42001EU AI Act

What the employer is looking for

  • Overall 15+ years of experience in cybersecurity, with at least 4–5 years focused on AI/ML security, adversarial machine learning, or security data science in a production cloud or technology environment.
  • Demonstrated track record of defining and driving AI or security programs at an organizational level — not just executing within them. You have owned a strategy, not just implemented one.
  • Deep, practitioner-level knowledge of adversarial ML attack and defence: evasion, poisoning, model extraction, membership inference, and prompt injection at both conceptual and implementation depth.
  • Ability to read, evaluate, and synthesise academic AI security research and translate it into concrete engineering guidance and organizational policy.
  • Experience engaging executive and senior leadership audiences on technical risk: you can translate complex AI threat scenarios into business-level impact and justify investment decisions accordingly.
  • Strong programming skills in Python and Go with a track record of building security tooling and automation, not just reviewing others' code. You can stand up adversarial testing, detection, and guardrail capabilities yourself.
  • Proficiency reviewing and critiquing AI/ML system architecture (data ingestion, feature engineering, training pipelines, model serving, continuous monitoring) made by ML engineers and data scientists.
  • Hands-on experience with AI red-team and defensive tooling and with model supply-chain frameworks.
  • Bachelor’s or Master’s degree in Computer Science, Information Security, Mathematics, or a related field — or equivalent depth of practical experience.

Preferred qualifications

  • Fluency in OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
  • Prior experience in a cloud provider, security product company, or large-scale internet platform where AI/ML systems operate at significant customer-facing scale.
  • Familiarity with LLM security in production: securing RAG pipelines, agentic frameworks, and model APIs against prompt injection, jailbreaking, and data exfiltration.

Benefits and support

  • We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
  • We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing.
  • We provide employees with reimbursement for relevant conferences, training, and education.
  • All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
  • We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.

About DigitalOcean

DigitalOcean logo

DigitalOcean

Company website
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DigitalOcean is an American cloud infrastructure provider and AI-native cloud platform built for developers, startups, and small-to-medium-sized businesses. The company provides simple, scalable virtual machines, managed databases, Kubernetes, and specialized inference engines designed to run modern application and agentic AI workloads.

Industry
Cloud Computing
Company size
1001-5000 employees
Founded
2011-06-24
Location
Broomfield, Colorado, USA
Funding stage
Public Company

Funding

Public Company · $174M raised

Andreessen HorowitzIA VenturesAccess IndustriesFortress Investment GroupTechstars
  • 2013-07-01Seed$3.2M
  • 2014-03-01Series A$37.2M
  • 2014-12-01Debt Financing$50M
  • 2015-07-01Series B$83M
  • 2016-04-01Debt Financing$130M
  • 2020-05-01Venture Round$50M
  • 2021-03-24IPO$775.5M

Leadership

PS
Paddy Srinivasan

Chief Executive Officer

WM
W. Matthew Steinfort

Chief Financial Officer

VK
Vinay Kumar

Chief Product and Technology Officer

LL
Leo Leung

Chief Marketing Officer

Recent coverage

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