SDE-2 Trust – Security


Location: Bangalore, India

Employment Type: Full-time

Experience: 4+ years

 

About kAIgentic

kAIgentic is a Singapore-headquartered startup, with presence across Singapore, India and Japan, on a mission to help enterprises evolve as fast as technology by turning their hidden know-how into safe, AI-powered operations. Most large organizations struggle to transform. Their tacit knowledge lives in people’s heads; systems are fragmented, and risk appetite is low. Our platform captures how work happens, designs better workflows, and runs them as governed by agentic operations. The result: organizations that continuously improve, instead of changing in slow, risky bursts.

We’re backed by SMBC Group as our founding partner and “customer zero”, and our platform is already being proven in one of the world’s most complex, regulated environments. That gives us access to real problems, real data, and real impact from Day 1.

 

The Role

As a SDE-2 on the Trust & Security team, you will own critical security systems that enable kAIgentic to serve global financial institutions. You’ll design and implement bank-grade data isolation, build comprehensive audit infrastructure, and ensure our agentic AI platform meets stringent regulatory requirements.

What You’ll Do

  • Design and implement multitenant data isolation ensuring strict separation between legal entities (e.g.,SMBC Japan vs SMBC UK)
  • Build hierarchical access control systems where Compliance Groups have different scopes than Finance Groups within the same entity
  • Develop immutable audit trail systems that capture every agentic action with full context
  • Implement tenant-aware encryption with tenant-level key management
  • Create scoped logging infrastructure where Regional Auditors can query across entities but Local Managers cannot
  • Build security monitoring and alerting for anomaly detection
  • Conduct security reviews and threat modeling for new features
  • Support SOC2, ISO 27001, and banking-specific compliance requirements
  • Drive AI-native development practices for security tooling and automation

 What You’ll Bring

  • 4+ years of experience in security engineering or secure software development
  • Expert AI-native development capability (mandatory)
  • Strong proficiency in Go and/or Python
  • Deep expertise in 2-3 of the following:
  • Multitenant SaaS security architecture
  • Access control systems (RBAC, ABAC, hierarchical permissions)
  • Cryptography and key management systems
  • Audit logging and compliance infrastructure
  • Cloud security (Kubernetes hardening, network policies, IAM)
  • Security monitoring and incident response
  • Familiarity with compliance frameworks (SOC2, ISO 27001, PCI-DSS)
  • Experience working with regulated industries (finance, healthcare) preferred
  • Strong security mindset and attention to detail

 

Why join kAIgentic?

We’re a global team of builders who thrive in ambiguity, care deeply about customers, and believe in the power of AI to reshape enterprise work.

We look for people who:

  • Bring technical excellence and customer empathy together.
  • Are entrepreneurial and excited to work on zero-to-one problems.
  • Lead with ownership, integrity, and collaboration.
  • want to shape not just a product, but a new category of enterprise AI.

Working here means being surrounded by peers who challenge assumptions, celebrate progress, and build with courage and care.

What It Feels Like to Work at kAIgentic?

  • Innovation at Scale: Combine startup agility with enterprise-grade challenges.
  • Ownership from Day One. Your work directly shapes product, culture, and customer outcomes.
  • Learning & Growth – Work with seasoned leaders (ex-Microsoft, AWS, UiPath, Wipro, GE, Genpact) who’ve built and scaled global businesses.
  • A culture of trust and psychological safety where experimentation is encouraged.
  • Global collaboration across Singapore, India, Japan, Europe, and the US.
  • A shared mission to build something the world hasn’t seen before: AI Agents that continuously improve how enterprises run.
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