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Accenture logo

Operations Engineer

Accenture

Operations Engineer

Accenture logo

Accenture

full-time

Posted: November 28, 2025

Number of Vacancies: 1

Job Description

Project Role : Operations Engineer
Project Role Description : Support the operations and/or manage delivery for production systems and services based on operational requirements and service agreement.
Must have skills : Cloud Infrastructure
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: We're looking for a visionary FullStack Engineers on cognitive systems on-prem HCIs, Private cloud and across public cloud stacks , to work on business critical client environments ,Cross technology Migrations , modernization solutions and technology crisis management. The focus is to manage client technology landscape and value add through innovation and address complex technical challenges faced by our clients Roles & Responsibilities: Design, develop, and maintain end-to-end cognitive HCIs, Private cloud 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. Understand the impact of GPU based computing and have experience in deploying High Performance Computing environments AWS Outpost, Azure Stack, Google cloud VPC Certified and implementation knowledge. Tanzu, Red Hat Openshift cluster deployment on Private cloud Deisgn, Deploy and Maintain. 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 (TensorFlow, PyTorch, scikit-learn) into production-ready APIs and microservices. 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) 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: Systems Operations and Engineering RHEL and SUSE and OLE and/or Wimdows/Hperv and/or AIX/HPUX/Soalris Hyper Converged Infrastructure and Private Cloud Vmware/ Hyper V/ KVM//Pacemaker / AHV /OpenStack / Scale Computing / Nvidia Omniverse Infrastructure as a Code & Scripting Terraform or Ansible - Shell Scripting and Python, Pwer Shell, Power CLi Public Cloud IaaS and Associated PaaS AWS / Azure/ GCP - S3, Blobs, VPCs, vNet, LBs Cloud Watch, Stack Driver, Azure Mon Cloud Native and Containers PODMAN, Docker Openshift and AKS and GKE and EKE Database Systems (RDBMS, No SQl and Cloud DB) Orcle and MS SQL or MySQL and Mongo or Couch - Cloud DB (Redis or Aurora, Sql online Midleware (WebServers, Message Qs, Managed Apps, MFT, Job Schedulers IIS, Apache, JBOSS, WebSphere/ Web Logic MFTs, MQ Series, Control M or Autosys or TWS and MTFs Observability & Environment Health observability tools (Nagios /SolarWinds/Netcool, Prometheus, ELK) and Environment Health and Capacity Management and Tech Debt and FinOps Enterprise AI Agentic AI Framework (CrewAI, LangGraph, AutoGen) and Responsible AI Concepts and AI Guardrails Additional Information: This position is based at our Bengaluru office. A 15 years full time education is required. Systems Operatioms and Engineering Professional VMware Certified Cloud Expert -the VMware Certified Professional VMware Cloud (VCPVMC) 2022 RHCE ( Red Hat Certified Engineer) Nvdia Certified Engineer / Nvidia Certified Associate 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)

Locations

  • Noida, India

Salary

Estimated Salary Rangemedium confidence

2,500,000 - 4,200,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Cloud Infrastructureintermediate
  • Systems Operations and Engineeringintermediate
  • RHEL and SUSE and OLE and/or Windows/HyperV and/or AIX/HPUX/Solarisintermediate
  • Hyper Converged Infrastructure and Private Cloudintermediate
  • Vmware/ Hyper V/ KVM/ Pacemaker / AHV /OpenStack / Scale Computing / Nvidia Omniverseintermediate
  • Infrastructure as a Code & Scriptingintermediate
  • Terraform or Ansible - Shell Scripting and Python, Power Shell, Power CLIintermediate
  • Public Cloud IaaS and Associated PaaSintermediate
  • AWS / Azure/ GCP - S3, Blobs, VPCs, vNet, LBsintermediate
  • Cloud Watch, Stack Driver, Azure Monintermediate
  • Cloud Native and Containersintermediate
  • PODMAN, Docker Openshift and AKS and GKE and EKEintermediate
  • Database Systems (RDBMS, NoSQL and Cloud DB)intermediate
  • Oracle and MS SQL or MySQL and Mongo or Couch - Cloud DB (Redis or Aurora, SQL online)intermediate
  • Middleware (WebServers, Message Qs, Managed Apps, MFT, Job Schedulers)intermediate
  • IIS, Apache, JBOSS, WebSphere/ Web Logic MFTs, MQ Series, Control M or Autosys or TWS and MTFsintermediate
  • Observability & Environment Healthintermediate
  • observability tools (Nagios /SolarWinds/Netcool, Prometheus, ELK) and Environment Health and Capacity Management and Tech Debt and FinOpsintermediate
  • Enterprise AI Agentic AI Framework (CrewAI, LangGraph, AutoGen) and Responsible AI Concepts and AI Guardrailsintermediate
  • Professional VMware Certified Cloud Expert -the VMware Certified Professional VMware Cloud (VCPVMC) 2022intermediate
  • RHCE ( Red Hat Certified Engineer)intermediate
  • Nvidia Certified Engineer / Nvidia Certified Associateintermediate
  • Microsoft Certified: Azure Solutions Architect Expertintermediate
  • Google Professional Cloud Architectintermediate
  • Certified Kubernetes Administrator (CKA)intermediate
  • HashiCorp Certified: Terraform Associateintermediate
  • Certified DevOps Engineer certifications (AWS, Azure, or Google)intermediate

Required Qualifications

  • Minimum 7.5 year(s) of experience (experience)
  • 15 years full time education (experience)

Responsibilities

  • Design, develop, and maintain end-to-end cognitive HCIs, Private cloud 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
  • Understand the impact of GPU based computing and have experience in deploying High Performance Computing environments AWS Outpost, Azure Stack, Google cloud VPC Certified and implementation knowledge
  • Tanzu, Red Hat Openshift cluster deployment on Private cloud Design, Deploy and Maintain
  • 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 (TensorFlow, PyTorch, scikit-learn) into production-ready APIs and microservices
  • 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)
  • 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

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Accenture logo

Operations Engineer

Accenture

Operations Engineer

Accenture logo

Accenture

full-time

Posted: November 28, 2025

Number of Vacancies: 1

Job Description

Project Role : Operations Engineer
Project Role Description : Support the operations and/or manage delivery for production systems and services based on operational requirements and service agreement.
Must have skills : Cloud Infrastructure
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: We're looking for a visionary FullStack Engineers on cognitive systems on-prem HCIs, Private cloud and across public cloud stacks , to work on business critical client environments ,Cross technology Migrations , modernization solutions and technology crisis management. The focus is to manage client technology landscape and value add through innovation and address complex technical challenges faced by our clients Roles & Responsibilities: Design, develop, and maintain end-to-end cognitive HCIs, Private cloud 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. Understand the impact of GPU based computing and have experience in deploying High Performance Computing environments AWS Outpost, Azure Stack, Google cloud VPC Certified and implementation knowledge. Tanzu, Red Hat Openshift cluster deployment on Private cloud Deisgn, Deploy and Maintain. 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 (TensorFlow, PyTorch, scikit-learn) into production-ready APIs and microservices. 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) 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: Systems Operations and Engineering RHEL and SUSE and OLE and/or Wimdows/Hperv and/or AIX/HPUX/Soalris Hyper Converged Infrastructure and Private Cloud Vmware/ Hyper V/ KVM//Pacemaker / AHV /OpenStack / Scale Computing / Nvidia Omniverse Infrastructure as a Code & Scripting Terraform or Ansible - Shell Scripting and Python, Pwer Shell, Power CLi Public Cloud IaaS and Associated PaaS AWS / Azure/ GCP - S3, Blobs, VPCs, vNet, LBs Cloud Watch, Stack Driver, Azure Mon Cloud Native and Containers PODMAN, Docker Openshift and AKS and GKE and EKE Database Systems (RDBMS, No SQl and Cloud DB) Orcle and MS SQL or MySQL and Mongo or Couch - Cloud DB (Redis or Aurora, Sql online Midleware (WebServers, Message Qs, Managed Apps, MFT, Job Schedulers IIS, Apache, JBOSS, WebSphere/ Web Logic MFTs, MQ Series, Control M or Autosys or TWS and MTFs Observability & Environment Health observability tools (Nagios /SolarWinds/Netcool, Prometheus, ELK) and Environment Health and Capacity Management and Tech Debt and FinOps Enterprise AI Agentic AI Framework (CrewAI, LangGraph, AutoGen) and Responsible AI Concepts and AI Guardrails Additional Information: This position is based at our Bengaluru office. A 15 years full time education is required. Systems Operatioms and Engineering Professional VMware Certified Cloud Expert -the VMware Certified Professional VMware Cloud (VCPVMC) 2022 RHCE ( Red Hat Certified Engineer) Nvdia Certified Engineer / Nvidia Certified Associate 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)

Locations

  • Noida, India

Salary

Estimated Salary Rangemedium confidence

2,500,000 - 4,200,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Cloud Infrastructureintermediate
  • Systems Operations and Engineeringintermediate
  • RHEL and SUSE and OLE and/or Windows/HyperV and/or AIX/HPUX/Solarisintermediate
  • Hyper Converged Infrastructure and Private Cloudintermediate
  • Vmware/ Hyper V/ KVM/ Pacemaker / AHV /OpenStack / Scale Computing / Nvidia Omniverseintermediate
  • Infrastructure as a Code & Scriptingintermediate
  • Terraform or Ansible - Shell Scripting and Python, Power Shell, Power CLIintermediate
  • Public Cloud IaaS and Associated PaaSintermediate
  • AWS / Azure/ GCP - S3, Blobs, VPCs, vNet, LBsintermediate
  • Cloud Watch, Stack Driver, Azure Monintermediate
  • Cloud Native and Containersintermediate
  • PODMAN, Docker Openshift and AKS and GKE and EKEintermediate
  • Database Systems (RDBMS, NoSQL and Cloud DB)intermediate
  • Oracle and MS SQL or MySQL and Mongo or Couch - Cloud DB (Redis or Aurora, SQL online)intermediate
  • Middleware (WebServers, Message Qs, Managed Apps, MFT, Job Schedulers)intermediate
  • IIS, Apache, JBOSS, WebSphere/ Web Logic MFTs, MQ Series, Control M or Autosys or TWS and MTFsintermediate
  • Observability & Environment Healthintermediate
  • observability tools (Nagios /SolarWinds/Netcool, Prometheus, ELK) and Environment Health and Capacity Management and Tech Debt and FinOpsintermediate
  • Enterprise AI Agentic AI Framework (CrewAI, LangGraph, AutoGen) and Responsible AI Concepts and AI Guardrailsintermediate
  • Professional VMware Certified Cloud Expert -the VMware Certified Professional VMware Cloud (VCPVMC) 2022intermediate
  • RHCE ( Red Hat Certified Engineer)intermediate
  • Nvidia Certified Engineer / Nvidia Certified Associateintermediate
  • Microsoft Certified: Azure Solutions Architect Expertintermediate
  • Google Professional Cloud Architectintermediate
  • Certified Kubernetes Administrator (CKA)intermediate
  • HashiCorp Certified: Terraform Associateintermediate
  • Certified DevOps Engineer certifications (AWS, Azure, or Google)intermediate

Required Qualifications

  • Minimum 7.5 year(s) of experience (experience)
  • 15 years full time education (experience)

Responsibilities

  • Design, develop, and maintain end-to-end cognitive HCIs, Private cloud 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
  • Understand the impact of GPU based computing and have experience in deploying High Performance Computing environments AWS Outpost, Azure Stack, Google cloud VPC Certified and implementation knowledge
  • Tanzu, Red Hat Openshift cluster deployment on Private cloud Design, Deploy and Maintain
  • 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 (TensorFlow, PyTorch, scikit-learn) into production-ready APIs and microservices
  • 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)
  • 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

Target Your Resume for "Operations Engineer" , Accenture

Get personalized recommendations to optimize your resume specifically for Operations Engineer. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Operations Engineer" , Accenture

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Software EngineeringTechnology

Related Jobs You May Like

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