Senior Cloud Engineer

Job Title: Cloud Engineer

Location: Bangalore

Department: Technology

Reports To: VP of Engineering

Position Overvie

wTookitaki, a global leader in AI-driven regulatory compliance solutions, is seeking a Cloud Engineer to design, optimize, and automate scalable cloud infrastructure. With our growing platform and global presence, we need a dynamic engineer to enhance our cloud architecture, ensure cost-effective operations, and drive efficiency in deployment and incident management. This role is critical to advancing our mission of providing reliable, scalable, and high-performance infrastructure that supports the development of our cutting-edge solutions

.
Roles & responsibilitie

s:1. Cloud Architecture Desi

• gnDesign scalable and reliable cloud solutions using AWS and GC
• P.Ensure architectures meet performance, security, and scalability requirement

s.2. Resource Optimizati

• onAnalyze and optimize cloud resource allocation to minimize cost
• s.Implement cost-effective solutions for infrastructure managemen

t.3. CI/CD Automati

• onAutomate CI/CD pipelines to streamline deployment processe
• s.Manage and enhance deployment workflows to reduce lead time

s.4. Infrastructure Developme

• ntDevelop and maintain core data processing and service layer
• s.Ensure seamless integration of services to support scalable operation

s.5. Incident Manageme

• ntAct as an escalation point for production incidents, ensuring swift resolutio
• n.Proactively monitor systems and address issues to maintain uptim

e.6. Security & Complian

• ceImplement and maintain standards for PCI-DSS compliance, ensuring secure data handling across cloud infrastructur
• e.Conduct compromise assessments to proactively identify vulnerabilities and respond to potential breache
• s.Lead patch management cycles to ensure system integrity and minimize security risk

s.7. Disaster Recovery & Testi

• ngPlan and execute Disaster Recovery (DR) drills, ensuring business continuity and data protection in alignment with recovery time objectives (RTOs) and recovery point objectives (RPOs

).
O

• KRsDesign and implement a scalable cloud architecture ensuring 99.9% upti
• me.Reduce cloud operational costs by 20% within six mont
• hs.Automate 90% of deployment processes, reducing deployment time by 5
• 0%.Ensure average incident resolution time is less than 30 minutes for critical production issu
• es.Develop a comprehensive monitoring and alerting system within three mont

hs.
Requirem

entsEduca

• tionRequired: Bachelor’s degree in Computer Science, Engineering, or a related fi
• eld.Preferred: Master’s degree in Cloud Computing, Infrastructure Engineering, or equival

ent.Experi

• enceMinimum 5 to 8 years of experience in cloud engineering or a similar r
• ole.Proven expertise in managing and optimising cloud platforms (AWS/G

CP).
Technical Expe

• rtiseProficiency in cloud platforms like AWS and
• GCP.Hands-on experience with Infrastructure as Code tools (Terraform, CloudFormat
• ion).Strong understanding of CI/CD tools (Jenkins, GitLab CI
• /CD).Experience with containerization (Docker) and orchestration (Kuberne
• tes).Expertise in monitoring and logging tools (Prometheus, Grafana, ELK st
• ack).Proficiency in programming languages like Python, Go, or

Java.
Soft

• SkillsStrong problem-solving and analytical abil
• ities.Excellent communication skills to collaborate with cross-functional
• teams.Ability to work in a fast-paced, dynamic enviro

nment.
Key Com

• petencyInfrastructure Expertise: Deep understanding of cloud platforms and scalable architecture
• design.Automation and Optimization: Ability to streamline processes and improve cost effi
• ciency.Collaboration: Work effectively with engineering and operational
• teams.Ownership: Take full responsibility for the cloud infrastructure and its perfo
• rmance.Adaptability: Thrive in dynamic and rapidly changing enviro

nments.
Success

• MetricsMaintain 99.9% uptime across all cloud infrast
• ructure.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