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Information Technology
Designs, builds, tests, and deploys cloud application and platform solutions integrating cloud and non-cloud infrastructure. Develops architecture proofs to validate performance, security, and feasibility; monitors and optimizes cloud environments; troubleshoots platform issues; documents designs and deployment processes; and collaborates with cross-functional teams. Requires Microsoft Fabric expertise, cloud infrastructure deployment experience, cloud security knowledge, and 15 years of full-time education.
Top Skills:
Cloud InfrastructureCloud SecurityMicrosoft Fabric
Information Technology
Designs, builds, tests, and deploys cloud application and platform solutions integrating cloud and on-premises infrastructure. Develops proof-of-architecture models, monitors and optimizes infrastructure performance, applies cloud security practices, documents deployment processes, and collaborates with cross-functional teams. The engineer works independently as a subject matter expert, contributes to technical problem-solving, and supports junior team members. Databricks and PySpark expertise are required.
Top Skills:
Databricks Unified Data Analytics PlatformPyspark
Database
Designs and operates cloud foundations across AWS and GCP, including governance, identity, access controls, infrastructure as code, security primitives, networking, resource inventory, billing visibility, and self-service tooling. The role combines production software engineering, hands-on operations, monitoring, troubleshooting, documentation, and on-call ownership while enabling engineering teams to provision infrastructure safely and independently.
Top Skills:
AWSDnsGCPGoIamInfrastructure As CodeKmsMtlsRustSlosSso
Designs, builds, tests and deploys cloud application solutions integrating cloud and on-premises infrastructure. Creates proofs of architecture, ensures security and performance, mentors teams, and leads technical decisions and cloud technology evaluations.
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 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Cloud Platform Engineer, a typical day involves designing and constructing cloud-based application solutions that seamlessly integrate both cloud and traditional infrastructure components. The role includes testing and deploying these solutions to ensure they meet performance and security standards. Additionally, the engineer creates proof of architecture models to validate the feasibility and robustness of the proposed designs, collaborating with various teams to align infrastructure and platform environments with organizational goals.
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.
- Lead the evaluation and implementation of new cloud technologies to enhance platform capabilities.
- Mentor junior team members to support their professional growth and skill development.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.
- Strong knowledge of cloud infrastructure deployment and management.
- Experience in designing scalable and secure cloud architectures.
- Ability to develop and validate proof of concept architectures for cloud solutions.
- Familiarity with integration of cloud and on-premises systems.
- Skilled in performance tuning and security best practices for cloud platforms.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies.
- This position is based at our Chennai office.
- A 15 years full time education is required.
15 years full time education
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 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Cloud Platform Engineer, a typical day involves designing and constructing cloud-based application solutions that seamlessly integrate both cloud and traditional infrastructure components. The role includes testing and deploying these solutions to ensure they meet performance and security standards. Additionally, the engineer creates proof of architecture models to validate the feasibility and robustness of the proposed designs, collaborating with various teams to align infrastructure and platform environments with organizational goals.
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.
- Lead the evaluation and implementation of new cloud technologies to enhance platform capabilities.
- Mentor junior team members to support their professional growth and skill development.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.
- Strong knowledge of cloud infrastructure deployment and management.
- Experience in designing scalable and secure cloud architectures.
- Ability to develop and validate proof of concept architectures for cloud solutions.
- Familiarity with integration of cloud and on-premises systems.
- Skilled in performance tuning and security best practices for cloud platforms.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies.
- This position is based at our Chennai 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
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Accenture Chennai, Tamil Nadu, IND Office
Chennai, India
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
