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:

Bachelor's degree in

Computer Science, Engineering

, or a related field.

Preferred:

Master's 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 Tookitaki's

rapidly expanding Services Delivery team

.