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Project Role: Technology Support Engineer
Project Role Description: Resolve incidents and problems across multiple business system components and ensure operational stability. Create and implement Requests for Change (RFC) and update knowledge base articles to support effective troubleshooting. Collaborate with vendors and help service management teams with issue analysis and resolution.
Must have skills: Cloud Automation DevOps
Good to have skills: NA
Minimum 5 year(s) of experience is required
Educational Qualification: 15 years full time education
Summary:
Cognitive PaaS Full Stack Engineer : The Cognitive PaaS Full Stack Engineer designs and develops cognitive cloud applications and services ranging from user interfaces to API layers and AI integration middleware. The engineer works across front-end, back-end, and cloud infrastructure layers to deliver intelligent, data-driven solutions that leverage AI/ML models, agentic workflows, and cognitive automation frameworks.
Roles & Responsibilities:
-
- Design, develop, and maintain end-to-end cognitive PaaS applications integrating intelligence into traditional web stacks.
- Develop and manage full stack infrastructure Application including backend services (APIs, microservices) and API gateway for frontend and backend services.
- Develop cloud-native back-end services using Node.js, Python (FastAPI, Flask), or Java to connect AI models with application logic.
- Integrate AI/ML models (Tensor Flow, Py Torch, scikit-learn) into production-ready APIs and microservices.
- Knowledge of Application Architecture Microservices vs Event Driven Architecture Vs Cloud Based Architecture Vs Cloud native architecture
- Good experience in application modernization support, deploy, manage and maintain cloud native applications on Paas/ Cloud Native Architecture
- Cloud Data Security knowledge and experience in implementing Data Security practices
- Write efficient, maintainable code and manage integration between front-end interfaces and back-end infrastructure services.
- Collaborate with product, design, ML, and DevOps teams to build intelligent workflows and user experiences
- Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, AZURE DEV OPS or Pulumi.
- Deploy and manage Platform-as-a-Service (PaaS) offerings.
- Design, implement, and maintain database solutions, including relational databases (e.g., MySQL, PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB, DynamoDB)
- Azure
- Logic App, Function App, Automation, Run Book & API Management
- Collaborate with DevOps, security, and development teams to ensure seamless integration and delivery.
- Ensure platform observability via metrics, logging, and monitoring frameworks (e.g., Prometheus, ELK, CloudWatch).
- Manage containerization and orchestration using Docker and Kubernetes.
- Ensure compliance with security best practices and organizational policies.
- Continuously evaluate and implement new cloud technologies and tools to improve efficiency.
- Provide technical guidance and support to team members and stakeholders.
- Integrate and support AI-driven tools and frameworks, including Generative AI and Agentic AI technologies, within cloud infrastructure and applications.
Professional & Technical Skills:
- Strong proficiency in cloud platforms
- AWS, Azure, and Google Cloud.
- Bachelor s or Master s degree in Computer Science, Software Engineering, or related field.
- Strong in JavaScript (React, Node.js) and Python (Flask, FastAPI) development.
- Experience developing and deploying cognitive or AI-driven microservices.
- Proficiency in cloud platforms (AWS Lambda, Azure Cognitive Services, or Google Vertex AI).
- Familiarity with platform engineering principles API management, service mesh, observability, and IaC (Terraform, Ansible).
- Understanding of NLP, LLM integration, and generative AI architectures for PaaS environments.
- Hands-on experience with DevOps practices CI/CD pipelines, version control (Git), and container orchestration.
- Experience with security frameworks including OAuth2, JWT, and RBAC for multi-tenant systems.
Certifications (Required / Preferred):
- AWS Certified Solutions Architect Professional
- Microsoft Certified: Azure Solutions Architect Expert
- Google Professional Cloud Architect
- Certified Kubernetes Administrator (CKA)
- Hashi Corp Certified: Terraform Associate
- Certified DevOps Engineer certifications (AWS, Azure, or Google)
Additional Information:
- The candidate should have minimum 5 years of experience in Cloud Automation DevOps.
- This position is based at our Gurugram office.
- A 15 years full time education is required.
- Resource needs to be AI Ready.
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
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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 · Business Analyst L2
0 reports
$63,830
total / year
Base
$25,532
Stock
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Bonus
$6,383
$44,681
$82,979
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
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