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Cloud Platform Engineer

Accenture

Cloud Platform Engineer

Accenture

·

On-site

·

Full-time

·

5d ago

Required Skills

Amazon Connect

Java

Python

Node.js

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 Engineering

Good to have skills: Database Management

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 also creating proofs of concept to validate your designs. You will be responsible for managing the deployment of infrastructure and platform environments, ensuring that all components work harmoniously together to meet organizational goals. Your role will require a proactive approach to problem-solving and a commitment to delivering high-quality solutions that enhance operational efficiency.

Roles & Responsibilities:

  • Expected to perform independently and become an SME.
  • Engineer, Architect, manage, and optimize SQL and NoSQL databases (e.g., Pracle, MySQL, PostgreSQL, MongoDB, DynamoDB.), including schema design and query optimization.
  • Integrate and manage cloud platform services (preferably AWS), utilizing AWS-managed services such as Lambda, EC2, S3, RDS, and DynamoDB.
  • Develop RESTful APIs and ensure seamless front-end/back-end integration.
  • Automate infrastructure provisioning and deployments using Infrastructure as Code (CloudFormation, Terraform), and maintain CI/CD pipelines.
  • Ensure optimal performance, scalability, and security for databases and application stacks.
  • Monitor, troubleshoot, and resolve production issues for database and application layers.
  • Participate in code reviews, testing, and agile team collaboration

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Data Engineering.
  • Good To Have Skills: Experience with Database Management.
  • Database Systems (RDBMS, No SQL and Cloud DB)
  • Infrastructure as a Code & Scripting
  • Public Cloud Iaa

S and Associated PaaS:

  • Cloud Native and Containers
  • Backup and Storage (Commvault, IBM, Hitachi Backup, Cloud Front, Amazon S3, Azure Storage)
  • Observability & Environment Health (Newrelic) and Environment Health and Capacity Management and Tech Debt and Fin Ops
  • Enterprise AI (Agentic AI Framework (CrewAI, Lang Graph, Auto Gen) and Responsible AI Concepts and AI Guardrails )
  • Strong understanding of cloud service models and deployment strategies.
  • Familiarity with infrastructure as code tools such as Terraform or CloudFormation.
  • Experience in data pipeline development and ETL processes.

Additional Information:

  • The candidate should have minimum 3 years of experience in Data Engineering.
  • This position is based at our Bengaluru office.
  • A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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About Accenture

Accenture

Accenture

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10,001+

Employees

Dublin

Headquarters

Reviews

4.0

10 reviews

Work Life Balance

3.5

Compensation

4.0

Culture

4.2

Career

4.1

Management

4.0

75%

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Pros

Great learning and development opportunities

Supportive and collaborative work environment

Good career growth and networking opportunities

Cons

Need to be proactive in finding projects

Long hours during busy periods

Very competitive environment for advancement

Salary Ranges

33 data points

L2

L3

L4

L5

L6

L2 · Security L2

0 reports

$84,500

total / year

Base

$33,800

Stock

$42,250

Bonus

$8,450

$59,150

$109,850

Interview Experience

6 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

17%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Task-Based Interview

4

Final Interview

5

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study