Operations Engineer

About the Role

As an Operations Engineer at Accenture in Noida, you will play a crucial role in supporting operations and managing the delivery of production systems and services. This position requires a strong understanding of operational requirements and service level agreements to ensure the seamless functioning of our platforms. You will be instrumental in maintaining and improving the reliability and performance of our critical systems.

Key Responsibilities:

• Support the operations and/or manage delivery for production systems and services based on operational requirements and service agreements.
• Design, develop, and maintain end-to-end cognitive PaaS applications, integrating intelligence into traditional web stacks.
• Develop and manage full stack infrastructure applications, including backend services (APIs, microservices) and API gateways.
• Develop cloud-native backend services using Node.js, Python (FastAPI, Flask), or Java.
• Integrate AI/ML models (TensorFlow, PyTorch, scikit-learn) into production-ready APIs and microservices.
• Apply knowledge of application architecture, including Microservices, Event Driven Architecture, Cloud Based Architecture, and Cloud Native Architecture.
• Provide support for application modernization, and deploy, manage, and maintain cloud-native applications on PaaS/Cloud Native Architecture.
• Implement data security practices within cloud environments.
• Write efficient, maintainable code and manage integration between front-end interfaces and backend 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 DevOps, or Pulumi.
• Deploy and manage Platform-as-a-Service (PaaS) offerings.
• Design, implement, and maintain database solutions, including relational and NoSQL databases.
• Ensure platform observability through 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.

Required Skills:

• Strong proficiency in cloud platforms: AWS, Azure, and Google Cloud.
• 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)
• HashiCorp Certified: Terraform Associate
• Certified DevOps Engineer certifications (AWS, Azure, or Google)

Minimum Experience:

5 years of experience required.

Educational Qualification:

15 years full-time education.