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Cloud Platform Engineer

Full Time
full-time
7 Nov 2025
Verified by Turrior

Content + Source + Freshness • 17 Dec 2025 • 95% confidence

88 / 100

Offer value

High value predicated on the role's focus on cloud technology and inclusive of innovative projects involving AI.

  • Strong growth potential in cloud technology
  • Opportunities to work on AI and data visualization projects
  • Flexible and collaborative work environment
Pros
  • Strong potential for career advancement in cloud and data fields
  • Engagement in cutting-edge projects involving AI and data visualization
  • Flexibility in work format with collaborative team environment
Cons
  • Requires strong foundational cloud knowledge and experience
  • Evolving nature of cloud technologies demands continuous learning
  • Competition in securing projects with fast-paced timelines

Who it's for

Senior • Hybrid/Remote options available

Good fit
  • Experienced cloud engineers
  • Professionals looking to leverage AI in cloud projects
  • Candidates aiming for a collaborative work culture
Not recommended for
  • Entry-level candidates without cloud knowledge
  • Individuals preferring isolated project roles
  • Those avoiding hands-on technical work

Motivation fit

Desire to engage with innovative cloud technologiesAiming to drive efficiency through data and cloud solutionsInterest in collaborative problem-solving within teams

Key skills

Cloud architecture expertiseData visualization and analyticsStrong understanding of Splunk and data tools
Score: 88/100 AI verified analysis

About the job

Project Role : Cloud Platform Engineer
Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance.
Must have skills : Splunk
Good to have skills : Data Visualization, Data Analytics
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Cloud Platform Engineer, you will engage in the design, construction, testing, and deployment of cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructures. Your typical day will involve collaborating with various teams to ensure the architecture's viability, security, and performance while creating proofs of concept to validate your designs. You will also be responsible for deploying infrastructure and platform environments, ensuring that all components work harmoniously together to meet organizational goals and client needs. Your role will be pivotal in driving innovation and efficiency within the cloud ecosystem, contributing to the overall success of the projects you are involved in. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous improvement. - Monitor and evaluate the performance of cloud applications, making recommendations for enhancements and optimizations. Professional & Technical Skills: - Must To Have Skills: Proficiency in Splunk. - Good To Have Skills: Experience with Data Visualization, Data Analytics. - Strong understanding of cloud architecture and deployment strategies. - Experience with infrastructure as code tools such as Terraform or CloudFormation. - Familiarity with security best practices in cloud environments. Additional Information: - The candidate should have minimum 5 years of experience in Splunk. - This position is based at our Bengaluru office. - A 15 years full time education is required.

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Turrior uses artificial intelligence to create job listings, automate candidate screening, conduct video interviews, and apply comprehensive AI scoring — helping companies hire faster, more accurately, and with lower operational costs.

Key benefits:

  • AI-powered job creation and structured job data
  • Intelligent candidate screening and automated shortlisting
  • Video interviews with AI-based answer analysis
  • Comprehensive AI scoring of skills, experience, and role fit
  • Recruitment process automation and reduced time-to-hire

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