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Careers at Accenture
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Cloud Platform Engineer

Full Time
full-time
12 Nov 2025
Verified by Turrior

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

82 / 100

Offer value

Strong position offering significant opportunities in cloud technologies within a leading company.

  • Strong demand for cloud professionals
  • Innovative company with global influence
  • Opportunity to lead cloud projects and teams
Pros
  • High market demand for cloud platform engineers
  • Chance to design cutting-edge solutions in a recognized company (Accenture)
  • Role enhances both technical and leadership skills
Cons
  • High expectations can lead to stress during busy periods
  • Lack of specific salary information may impact candidate interest
  • Competitive selection process due to required skills

Who it's for

Mid to Senior Level • On-site in Pune

Good fit
  • Experienced cloud engineers
  • Candidates interested in developing cloud solutions
  • Professionals looking to grow in leadership within cloud projects
Not recommended for
  • Newcomers without cloud experience
  • Individuals seeking fully remote opportunities
  • Those disinterested in collaborative decision-making

Motivation fit

Desire to shape innovative cloud solutionsPassion for hands-on development and optimizationInterest in improving cloud application performance

Key skills

Cloud architectureInfrastructure as codeContainerizationData modelingTeam leadership
Score: 82/100 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 : Data Modeling Techniques and Methodologies
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructure. 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 engage in hands-on development and troubleshooting, ensuring that the solutions meet the required standards and specifications. Additionally, you will be involved in continuous improvement efforts, optimizing existing systems and processes to enhance efficiency and effectiveness in cloud operations. 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. - Monitor and evaluate the performance of cloud applications to ensure optimal functionality. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies. - Good To Have Skills: Experience with cloud service providers such as AWS, Azure, or Google Cloud Platform. - Strong understanding of cloud architecture and deployment strategies. - Experience with infrastructure as code tools like Terraform or CloudFormation. - Familiarity with containerization technologies such as Docker and Kubernetes. Additional Information: - The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies. - This position is based in Hyderabad. - A 15 years full time education is required.

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End-to-end AI hiring for modern HR teams

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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