4,665 Devops Principles jobs in India

• Design, build, and maintain scalable and highly available cloud infrastructure on platforms like AWS, Azure, or GCP.
• Implement and manage CI/CD pipelines for automated build, testing, and deployment of applications.
• Utilize Infrastructure as Code (IaC) tools such as Terraform or Ansible to manage infrastructure.
• Deploy, manage, and scale containerized applications using Docker and Kubernetes.
• Implement robust monitoring, logging, and alerting solutions to ensure system health and performance.
• Automate operational tasks and processes to improve efficiency and reduce manual intervention.
• Collaborate with software development teams to optimize application performance and reliability.
• Ensure security best practices are implemented across the infrastructure.
• Troubleshoot and resolve production issues in a timely manner.
• Contribute to architectural decisions and technology selection for infrastructure.

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Proven experience as a DevOps Engineer or in a similar role.
• Strong expertise in at least one major cloud platform (AWS, Azure, GCP).
• Proficiency with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI).
• Hands-on experience with Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible, CloudFormation).
• Solid understanding of containerization technologies (Docker, Kubernetes).
• Experience with scripting languages (e.g., Python, Bash).
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
• Excellent problem-solving and debugging skills.
• Strong communication skills and the ability to work effectively in a remote team environment.
• Demonstrated ability to work independently and manage time effectively in a remote setting.

• Designing, building, and maintaining scalable and reliable cloud infrastructure.
• Developing and managing automated CI/CD pipelines for seamless software delivery.
• Implementing and managing containerization technologies (Docker, Kubernetes).
• Automating infrastructure provisioning and configuration management using IaC tools.
• Monitoring system performance, identifying bottlenecks, and implementing optimizations.
• Ensuring the security and compliance of cloud environments.
• Collaborating with development teams to troubleshoot and resolve production issues.
• Participating in on-call rotation to provide 24/7 support.
• Evaluating and integrating new DevOps tools and technologies.
• Documenting infrastructure designs, processes, and procedures.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in DevOps or a similar role.
• Proven expertise in cloud platforms (AWS, Azure, or GCP).
• Strong experience with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI).
• Proficiency in scripting languages (e.g., Python, Bash).
• Experience with containerization and orchestration (Docker, Kubernetes).
• Solid understanding of IaC tools (e.g., Terraform, Ansible, Chef, Puppet).
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
• Excellent troubleshooting and problem-solving skills.
• Strong communication and collaboration abilities.

• Design, build, and maintain CI/CD pipelines.
• Automate infrastructure provisioning using IaC tools.
• Manage and orchestrate containerized applications (Docker, Kubernetes).
• Implement and manage cloud infrastructure (AWS, Azure, GCP).
• Monitor system performance and troubleshoot issues.
• Develop and enforce security best practices.
• Manage configuration management tools (Ansible, Chef, Puppet).
• Collaborate with development and QA teams.
• Plan and execute disaster recovery procedures.
• Document infrastructure and processes.

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in DevOps or SRE roles.
• Proven experience with AWS, Azure, or GCP.
• Strong proficiency in scripting languages (Python, Bash).
• Hands-on experience with Kubernetes and Docker.
• Expertise in CI/CD tools (Jenkins, GitLab CI, CircleCI).
• Experience with infrastructure as code (Terraform, CloudFormation).
• Familiarity with monitoring and logging tools.
• Strong understanding of networking and security principles.
• Excellent problem-solving and communication skills.

• Designing, implementing, and managing CI/CD pipelines using tools like Jenkins, GitLab CI, or CircleCI.
• Developing and maintaining Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or CloudFormation.
• Managing cloud environments (AWS, Azure, or GCP) including provisioning, configuration, and monitoring.
• Implementing and managing containerization technologies like Docker and Kubernetes.
• Automating operational tasks and system deployments to improve efficiency.
• Monitoring system performance, identifying bottlenecks, and implementing solutions.
• Ensuring the security of cloud infrastructure and applications through best practices and tools.
• Collaborating with development and operations teams to troubleshoot and resolve issues.
• Developing and maintaining disaster recovery and business continuity plans.
• Mentoring junior engineers and contributing to the team's technical growth.

Cloud IaaS Architect with SaaS & MLOps Expertise

Position: Cloud Infrastructure Architect (IaaS/SaaS, Data & MLOps)

Experience Required: 12–15 Years

Location: Noida

Employment Type: Full-Time

About the Role

We are seeking a highly experienced Cloud Infrastructure Architect with strong expertise in IaaS, SaaS enablement, Data Consolidation, and MLOps . The ideal candidate will be responsible for designing and delivering enterprise-grade cloud architectures that integrate infrastructure, applications, and data platforms to support AI/ML-driven business transformation. This role requires a balance of deep technical architecture skills , hands-on engineering experience , and strategic leadership in building modern, cloud-native platforms.

Key Responsibilities

Cloud Architecture & Delivery (IaaS & SaaS)

• Design, architect, and implement cloud-native IaaS platforms (AWS, Azure, GCP).
• Enable SaaS capabilities including multi-tenancy, subscription management, security, and compliance.
• Define infrastructure-as-code (IaC) patterns using Terraform, Ansible, or CloudFormation.
• Architect scalable, secure, and resilient cloud platforms for enterprise applications.
• Drive cost optimization, governance, and automation of cloud environments.

Data Consolidation & Management

• Lead design of data consolidation strategies across structured, semi-structured, and unstructured sources.
• Implement data lakes, lakehouses, and data pipelines to unify enterprise data.
• Ensure compliance with data security, governance, and lineage requirements.
• Enable enterprise analytics and AI/ML workloads through consolidated data platforms.

MLOps & AI/ML Enablement

• Architect and implement MLOps frameworks for model training, deployment, monitoring, and lifecycle management.
• Integrate AI/ML workflows with data lakes, vector databases, and cloud-native pipelines .
• Collaborate with data scientists and ML engineers to operationalize models at scale.
• Build CI/CD for ML (CI/CD/CT) pipelines ensuring reproducibility and scalability.

Collaboration & Leadership

• Partner with application teams, data engineers, and business stakeholders to deliver cloud transformation programs.
• Provide technical leadership and mentorship for cross-functional cloud engineering teams.
• Define best practices, reference architectures, and guardrails for cloud, data, and MLOps delivery .
• Act as a trusted advisor to CXOs on cloud adoption and AI-driven innovation .

Required Skills & Experience

• 12–15 years of IT experience, with at least 5+ years as a Cloud Architect .
• Strong expertise in IaaS platforms (VMs, networking, storage, Kubernetes, security) on AWS/Azure/GCP.
• Proven experience in SaaS solution design (multi-tenancy, subscription management, API-first architectures).
• Deep understanding of data consolidation (data lakes, warehouses, ETL/ELT, integration platforms).
• Strong MLOps expertise (Kubeflow, MLflow, Vertex AI, SageMaker, Azure ML, Airflow).
• Hands-on skills with IaC & automation (Terraform, Ansible, Helm, GitOps).
• Knowledge of DevOps & CI/CD for cloud and AI workloads.
• Strong understanding of cloud security, compliance, and cost management .
• Familiarity with vector and graph databases for AI-driven use cases a plus.

Preferred Qualifications

• Cloud certifications: AWS Solutions Architect Professional, GCP Professional Cloud Architect, or Azure Solutions Architect Expert .
• MLOps/AI certifications: TensorFlow, PyTorch, or vendor-specific AI/ML certifications .
• Experience in multi-cloud and hybrid architectures .
• Industry domain exposure in BFSI, Healthcare, Retail, or Telecom .

Education

• Bachelor’s or Master’s in Computer Science, Engineering, or related fields .
• Advanced certifications in Cloud, Data, or AI/ML highly desirable.

Why Join Us

• Lead enterprise-wide cloud and AI transformations with next-gen architectures.
• Work on cutting-edge SaaS, MLOps, and cloud-native solutions .
• Collaborate with global teams and CXOs on high-impact projects.
• Competitive compensation, benefits, and career advancement opportunities.

Think global. Think BIG.

Visit us:

Linkedin:

Cloud IaaS Architect with SaaS & MLOps Expertise

Position: Cloud Infrastructure Architect (IaaS/SaaS, Data & MLOps)

Experience Required: 12–15 Years

Location: Noida

Employment Type: Full-Time

About the Role

We are seeking a highly experienced Cloud Infrastructure Architect with strong expertise in IaaS, SaaS enablement, Data Consolidation, and MLOps. The ideal candidate will be responsible for designing and delivering enterprise-grade cloud architectures that integrate infrastructure, applications, and data platforms to support AI/ML-driven business transformation. This role requires a balance of deep technical architecture skills, hands-on engineering experience, and strategic leadership in building modern, cloud-native platforms.

Key Responsibilities

Cloud Architecture & Delivery (IaaS & SaaS)

• Design, architect, and implement cloud-native IaaS platforms (AWS, Azure, GCP).
• Enable SaaS capabilities including multi-tenancy, subscription management, security, and compliance.
• Define infrastructure-as-code (IaC) patterns using Terraform, Ansible, or CloudFormation.
• Architect scalable, secure, and resilient cloud platforms for enterprise applications.
• Drive cost optimization, governance, and automation of cloud environments.

Data Consolidation & Management

• Lead design of data consolidation strategies across structured, semi-structured, and unstructured sources.
• Implement data lakes, lakehouses, and data pipelines to unify enterprise data.
• Ensure compliance with data security, governance, and lineage requirements.
• Enable enterprise analytics and AI/ML workloads through consolidated data platforms.

MLOps & AI/ML Enablement

• Architect and implement MLOps frameworks for model training, deployment, monitoring, and lifecycle management.
• Integrate AI/ML workflows with data lakes, vector databases, and cloud-native pipelines.
• Collaborate with data scientists and ML engineers to operationalize models at scale.
• Build CI/CD for ML (CI/CD/CT) pipelines ensuring reproducibility and scalability.

Collaboration & Leadership

• Partner with application teams, data engineers, and business stakeholders to deliver cloud transformation programs.
• Provide technical leadership and mentorship for cross-functional cloud engineering teams.
• Define best practices, reference architectures, and guardrails for cloud, data, and MLOps delivery.
• Act as a trusted advisor to CXOs on cloud adoption and AI-driven innovation.

Required Skills & Experience

• 12–15 years of IT experience, with at least 5+ years as a Cloud Architect.
• Strong expertise in IaaS platforms (VMs, networking, storage, Kubernetes, security) on AWS/Azure/GCP.
• Proven experience in SaaS solution design (multi-tenancy, subscription management, API-first architectures).
• Deep understanding of data consolidation (data lakes, warehouses, ETL/ELT, integration platforms).
• Strong MLOps expertise (Kubeflow, MLflow, Vertex AI, SageMaker, Azure ML, Airflow).
• Hands-on skills with IaC & automation (Terraform, Ansible, Helm, GitOps).
• Knowledge of DevOps & CI/CD for cloud and AI workloads.
• Strong understanding of cloud security, compliance, and cost management.
• Familiarity with vector and graph databases for AI-driven use cases a plus.

Preferred Qualifications

• Cloud certifications: AWS Solutions Architect Professional, GCP Professional Cloud Architect, or Azure Solutions Architect Expert.
• MLOps/AI certifications: TensorFlow, PyTorch, or vendor-specific AI/ML certifications.
• Experience in multi-cloud and hybrid architectures.
• Industry domain exposure in BFSI, Healthcare, Retail, or Telecom.

Education

• Bachelor’s or Master’s in Computer Science, Engineering, or related fields.
• Advanced certifications in Cloud, Data, or AI/ML highly desirable.

Why Join Us

• Lead enterprise-wide cloud and AI transformations with next-gen architectures.
• Work on cutting-edge SaaS, MLOps, and cloud-native solutions.
• Collaborate with global teams and CXOs on high-impact projects.
• Competitive compensation, benefits, and career advancement opportunities.

Think global. Think BIG.

Visit us:

Linkedin: