Cloud Engineer

Job Description: Cloud Engineer

Job Title: Cloud Engineer
Location: Bangalore
Department: Technology
Reports To: Head of Cloud Infra

Position Overview

Tookitaki 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 & responsibilities:

• Cloud Architecture Design

• Design scalable and reliable cloud solutions using AWS and GCP.

• Ensure architectures meet performance security and scalability requirements.

• Resource Optimization

• Analyze and optimize cloud resource allocation to minimize costs.

• Implement cost-effective solutions for infrastructure management.

• CI/CD Automation

• Automate CI/CD pipelines to streamline deployment processes.

• Manage and enhance deployment workflows to reduce lead times.

• Infrastructure Development

• Develop and maintain core data processing and service layers.

• Ensure seamless integration of services to support scalable operations.

• Incident Management

• Act as an escalation point for production incidents ensuring swift resolution.

• Proactively monitor systems and address issues to maintain uptime.

• Security & Compliance

• Implement and maintain standards for PCI-DSS compliance ensuring secure data handling across cloud infrastructure.

• Conduct compromise assessments to proactively identify vulnerabilities and respond to potential breaches.

• Lead patch management cycles to ensure system integrity and minimize security risks.

• Disaster Recovery & Testing

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

OKRs

• Design and implement a scalable cloud architecture ensuring 99.9% uptime.

• Reduce cloud operational costs by 20% within six months.

• Automate 90% of deployment processes reducing deployment time by 50%.

• Ensure average incident resolution time is less than 30 minutes for critical production issues.

• Develop a comprehensive monitoring and alerting system within three months.

Requirements

Education

• Required: Bachelors degree in Computer Science Engineering or a related field.

• Preferred: Masters degree in Cloud Computing Infrastructure Engineering or equivalent.

Experience

• Minimum 8 to 10 years of experience in cloud engineering or a similar role.

• Proven expertise in managing and optimizing cloud platforms (AWS/GCP).

Technical Expertise

• Proficiency in cloud platforms like AWS and GCP.

• Hands-on experience with Infrastructure as Code tools (Terraform CloudFormation).

• Strong understanding of CI/CD tools (Jenkins GitLab CI/CD).

• Experience with containerization (Docker) and orchestration (Kubernetes).

• Expertise in monitoring and logging tools (Prometheus Grafana ELK stack).

• Proficiency in programming languages like Python Go or Java.

Soft Skills

• Strong problem-solving and analytical abilities.

• Excellent communication skills to collaborate with cross-functional teams.

• Ability to work in a fast-paced dynamic environment.

Key Competency

• 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.

Success Metrics

• 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.

Benefits

• 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.