Job Title: Cloud Security Engineer
Location: Bangalore
Department: Technology
Reports to: Head of Cloud Infra
TookiTaki the global leader building the Trust Layer for Financial Services is strengthening its cloud security foundation as we scale our AI-driven AML and fraud-detection platforms across global banks and fintechs. We are looking for a Cloud Security Engineer who blends deep cloud expertise with uncompromising security standards someone who can design harden and defend the cloud environments that power our mission. If secure resilient and scalable infrastructure is your playground welcome home.
1. Cloud Security Architecture:
Design and implement secure cloud architectures across AWS
Ensure systems meet enterprise-grade security availability and performance requirements.
Drive secure-by-default principles across deployments services and automation pipelines.
2. Security Hardening & Compliance:
Own and maintain PCI-DSSaligned cloud security controls.
Lead infrastructure hardening across compute data storage network and IAM.
Implement end-to-end compliance guardrails auditing and continuous monitoring.
Drive patching vulnerability management and threat exposure reduction.
3. Threat Detection & Incident Response:
Develop runtime threat detection and alerting frameworks (SIEM/SOAR IDS CSPM).
Conduct compromise assessments and respond to potential breaches with speed and clarity.
Act as the primary escalation point for security incidents and lead root cause analysis.
Continuously enhance detection logic using emerging threats from the AFC ecosystem.
4. Security Automation & DevSecOps:
Integrate security tooling into CI/CD workflows (SAST SCA DAST secrets scanning).
Automate policies using IaC (Terraform/CloudFormation) and policy-as-code frameworks.
Build automated remediation playbooks to reduce manual intervention. Identity Access & Secrets Management
Implement and govern IAM standards across cloud environments.
Build least-privilege zero-trust access frameworks.
Maintain secure secrets management via Vault KMS or similar tooling.
5. Disaster Recovery & Business Continuity
Lead DR planning and execution with clear RTO/RPO targets.
Achieve 99.9% secure and compliant uptime for all cloud infrastructure.
Reduce high-risk vulnerabilities by 90% within the first 6 months.
Implement full Cloud Security Monitoring & Alerting within 90 days.
Shift-left security across CI/CD pipelines with 100% automated checks.
Reduce mean time to detect (MTTD) and mean time to respond (MTTR) for security incidents by 50%.
Required: Bachelors degree in Computer Science Engineering Cybersecurity or equivalent.
Preferred: Masters degree in Cybersecurity or Cloud Security.
46 years in cloud engineering or cloud security roles.
Proven hands-on experience securing cloud platforms AWS at scale.
Experience in regulated or compliance-heavy environments (fintech banking regtech) preferred.
Strong understanding of cloud security frameworks (CIS NIST PCI-DSS).
Expertise with IaC tools: Terraform CloudFormation.
Hands-on experience with Kubernetes security (EKS)
Ability to detect triage and prevent network-level vulnerabilities and misconfigurations in the cloud infrastructure.
Hands-on with container security (Docker Kubernetes EKS/GKE).
Experience with cloud-native security tools (GuardDuty Security Hub GCP SCC Prisma Wiz etc.).
Strong knowledge of monitoring & logging stacks (ELK Prometheus Grafana). Proficiency in Python Go or Java for security automation.
Exceptional problem-solving and analytical thinking.
Clear communication security without theatrics or jargon.
Ability to operate in a fast dynamic and global environment.
High ownership and accountability.
Infrastructure Expertise: Deep understanding of cloud platforms and scalable architecture design.
Automation and Optimization: Ability to streamline processes and improve cost-efficiency.
Collaboration: Work effectively with engineering and operational teams.
Ownership: Take full responsibility for the cloud infrastructure and its performance.
Adaptability: Thrive in dynamic and rapidly changing environments.
Maintain 99.9% uptime across all cloud infrastructure.
Achieve a 20% reduction in cloud costs within six months.
Complete automation of CI/CD pipelines reducing deployment lead times by 50%.
Resolve critical production incidents within 30 minutes on average.
Implement a robust monitoring system with minimal false alerts.
Competitive Salary: Aligned with industry standards and experience.
Professional Development: Access to training in big data cloud computing and data integration tools.
Comprehensive Benefits: Health insurance and flexible working options.
Growth Opportunities: Career progression within Tookitakis rapidly expanding Services Delivery team.
Tookitaki’s FinCense platform combines AI with community‑driven intelligence to deliver real‑time AML, fraud detection, smart screening, and transaction monitoring with 90%+ accuracy—trusted by global banks, fintechs & e‑wallets.