Description :

Job Title : Senior Cloud Engineer

Location : Bangalore

Department : Technology

Reports To : VP of Engineering

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 optimising 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.