Security Architect (Bangalore, India)

AiPrise
Bengaluru
Workplace: OnsiteFull timeUSD 3,000,000 - 5,000,000 annuallyFunction: CybersecurityExperience: 7-9 yearsSkills: ["Stakeholder communication","Risk judgment","Security design","Hands-on problem solving","Cross-functional collaboration"]

Own security architecture end to end across cloud infrastructure, applications, and APIs, evolving standards and reference architectures as the platform grows. Partner hands-on with engineers to remediate real security issues, perform threat modeling and security design reviews, and embed secure practices into SDLC and CI/CD. Lead security testing, manage audit evidence and remediation, and translate regulatory/privacy requirements (e.g., GDPR, SOC 2, ISO 27001) into practical controls while representing security in customer and regulator discussions.

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AiPrise
AiPrise
2 days ago

Security Architect (Bangalore, India)

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Last checked: 1 hour agoStatus: Live
Reposted: similar role first listed 2 weeks ago

Job Summary

Own security architecture end to end across cloud infrastructure, applications, and APIs, evolving standards and reference architectures as the platform grows. Partner hands-on with engineers to remediate real security issues, perform threat modeling and security design reviews, and embed secure practices into SDLC and CI/CD. Lead security testing, manage audit evidence and remediation, and translate regulatory/privacy requirements (e.g., GDPR, SOC 2, ISO 27001) into practical controls while representing security in customer and regulator discussions.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Cybersecurity
Seniority: Mid level

Key Responsibilities

  • •Own end-to-end security architecture across cloud infrastructure, applications, and APIs, evolving it as new products and regions launch.
  • •Work with engineers to identify, prioritize, remediate, and validate security issues across infrastructure, code, and APIs.
  • •Perform threat modeling and security design reviews, embedding security into development lifecycle (secure coding standards, code review, CI/CD controls, dependency and container security).
  • •Define and drive adoption of security standards, reference architectures, and hardening baselines.
  • •Lead security testing and audit/assessment work: penetration tests, vulnerability management, remediation tracking, and SOC 2/ISO 27001/GDPR-related audit evidence and control mapping.

Pay and Benefits

Salary: USD 3,000,000 - 5,000,000 annually

Key Requirements

  • •7 to 9 years of experience in security engineering, security architecture, or a closely related field, with experience securing production systems at scale.
  • •Hands-on technical depth reading and reasoning about application code, cloud infrastructure, and API design, and working with engineers to fix issues.
  • •Strong cloud security knowledge (network segmentation, IAM, secrets and key management, workload and container security) and infrastructure-as-code.
  • •Deep application and API security expertise including common vulnerability classes (e.g., access-control flaws, injection, SSRF), authentication/authorization, and secure SDLC practices.
  • •Solid understanding of security and privacy requirements and frameworks (SOC 2, ISO/IEC 27001, GDPR), plus experience handling audits and remediation to closure.
Experience:7-9 yearsFintechRegtechIdentity verificationRegulatedCompliancePayment processing
Skills:Stakeholder communicationRisk judgmentSecurity designHands-on problem solvingCross-functional collaboration
Certifications:CISSPCCSPOSCPCIPPCIPT
Tech Stack:CI/CDInfrastructure-as-codeIAMSecrets and key managementContainer securityThreat modelingPenetration testsVulnerability managementSOC 2ISO/IEC 27001GDPRSecure SDLCSecurity design reviews

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

AiPrise
AiPrise develops AI-driven software and services to help businesses automate workflows, extract actionable insights from data, and enhance decision-making using machine learning models and system integrations across enterprise environments.
Industry: Enterprise Software
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