Senior Consultant-DevOps

Same job available in 7 locations

Bengaluru, Karnataka, India

Chennai, Tamil Nadu, India

Gurugram, Haryana, India

Hyderabad, Telangana, India

Kolkata, West Bengal, India

Mumbai, Maharashtra, India

Pune, Maharashtra, India

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Position Summary

AI & Data

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

AI & Data will work with our clients to:

- Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
- Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
- Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements

Azure DevOps Sr. Consultant (Technical Requirements):

Mandatory Skills:

  • Strong experience with Azure DevOps and CI/CD pipelines.
  • Proficiency in scripting languages such as PowerShell, Python, or Bash.
  • Knowledge of Azure services such as Azure App Service, Azure Functions, and Azure SQL Database.
  • Experience with Azure DevOps services such as Azure Boards, Azure Repos, Azure Pipelines, Azure Test Plans, and Azure Artifacts.
  • Proficiency in implementing and managing build pipelines for various types of applications including .NET, Java, Node.js, and Python.
  • Excellent communication and problem-solving skills.
  • Familiarity with version control systems such as Git, including branching, merging, and pull request workflows.
  • Ability to troubleshoot build and release failures and implement solutions to improve pipeline efficiency.
  • Understanding of security best practices for Azure resources and pipelines, including role-based access control (RBAC) and secure DevOps principles.

Good to Have Skills:

  • Experience with other cloud platforms such as AWS or GCP.
  • Knowledge of containerization technologies like Docker and Kubernetes.
  • Knowledge of infrastructure automation using tools like Ansible, Chef, or Puppet.
  • Experience with infrastructure as code tools like ARM templates or Terraform.
  • Familiarity with monitoring and logging tools such as Azure Monitor and Log Analytics.
  • Experience with agile methodologies and working in cross-functional teams.
  • Certifications such as Azure DevOps Engineer Expert, Azure Solutions Architect Expert, or AWS Certified DevOps Engineer.
  • Experience with Azure DevOps extensions and custom tasks to enhance pipeline functionality.
  • Knowledge of software development lifecycle (SDLC) methodologies, including Agile, Scrum, and Kanban.
  • Familiarity with Azure DevOps REST API for automation and integration with external systems.
  • Ability to design and implement automated testing strategies, including unit tests, integration tests, and UI tests.
  • Experience with Azure DevOps integration with other tools and services such as Jira, Slack, and ServiceNow.

Desired Skills (Certifications):

  • Azure DevOps Engineer Expert
  • Azure Solutions Architect Expert
  • AWS Certified DevOps Engineer

AWS DevOps Sr. Consultant (Technical Requirements):

Mandatory Skills:

  • Strong experience with AWS DevOps and CI/CD pipelines.
  • Strong experience with AWS services such as AWS Lambda, Amazon EC2, Amazon RDS, Amazon S3, and Amazon ECS/EKS.
  • Proficiency in scripting languages such as Python, PowerShell, or Bash.
  • Proficiency in implementing and managing build pipelines for various types of applications including .NET, Java, Node.js, and Python.
  • Familiarity with version control systems such as Git, including branching, merging, and pull request workflows.
  • Knowledge of CI/CD concepts and experience with implementing pipelines using tools like Jenkins, GitLab CI/CD, or CircleCI.
  • Knowledge of software development lifecycle (SDLC) methodologies, including Agile, Scrum, and Kanban.
  • Ability to troubleshoot build and release failures and implement solutions to improve pipeline efficiency.
  • Excellent communication and problem-solving skills.

Good to Have Skills:

  • Experience with other cloud platforms such as Azure or GCP.
  • Knowledge of containerization technologies like Docker and Kubernetes.
  • Expertise in using AWS services for infrastructure automation, such as AWS CloudFormation, AWS CDK, or Terraform with AWS provider.
  • Experience with infrastructure as code tools like AWS CloudFormation or Terraform.
  • Proficiency in configuring and managing AWS services for networking, security, storage, and compute, such as VPC, IAM, S3, EC2, and RDS.
  • Familiarity with monitoring and logging tools such as AWS CloudWatch and AWS X-Ray.
  • Experience with security best practices for AWS resources and pipelines.
  • Experience with agile methodologies and working in cross-functional teams.
  • Familiarity with AWS container services like Amazon ECS and Amazon EKS for container orchestration.
  • Experience with implementing and managing AWS serverless architectures using services like AWS Lambda, API Gateway, and DynamoDB.
  • Knowledge of implementing and maintaining high availability and fault-tolerant systems on AWS.
  • Ability to troubleshoot and resolve issues related to AWS infrastructure and deployments.
  • Experience with AWS monitoring and logging services, such as AWS CloudWatch, CloudTrail, and X-Ray.
  • Knowledge of AWS security best practices, including encryption, access control, and compliance.
  • Experience with implementing DevOps practices for data engineering and analytics on AWS, using services like Amazon Redshift, Glue, and EMR.
  • Ability to design and implement cost-effective solutions on AWS, optimizing for performance and scalability.

Desired Skills (Certifications):

  • AWS Certified DevOps Engineer – Professional
  • AWS Certified Solutions Architect – Associate
  • AWS Certified Developer – Associate

GCP DevOps Sr. Consultant (Technical Requirements):

Mandatory Skills:

  • Strong experience with DevOps and CI/CD pipelines.
  • Strong experience with GCP services such as Compute Engine, Kubernetes Engine, Cloud Storage, Cloud SQL, and Cloud Functions.
  • Proficiency in scripting languages such as Python, Bash, or PowerShell.
  • Familiarity with version control systems such as Git, including branching, merging, and pull request workflows.
  • Knowledge of software development lifecycle (SDLC) methodologies, including Agile, Scrum, and Kanban.
  • Knowledge of CI/CD concepts and experience with implementing pipelines using tools like Jenkins, GitLab CI/CD, or CircleCI.
  • Ability to troubleshoot build and release failures and implement solutions to improve pipeline efficiency.
  • Excellent communication and problem-solving skills.

Good to Have Skills:

  • Experience with other cloud platforms such as AWS or Azure.
  • Knowledge of containerization technologies like Docker and Kubernetes.
  • Familiarity with monitoring and logging tools such as Stackdriver and ELK Stack.
  • Experience with infrastructure as code tools like Terraform or Deployment Manager.
  • Experience with security best practices for GCP resources and pipelines.
  • Experience with agile methodologies and working in cross-functional teams.
  • Familiarity with GCP data analytics and machine learning services, such as BigQuery, Dataflow, and AI Platform, for DevOps automation and optimization.
  • Experience with GCP monitoring and logging services, such as Stackdriver, for monitoring and troubleshooting infrastructure and application performance.
  • Expertise in using GCP services for infrastructure automation, such as Deployment Manager, Terraform, or Google Cloud Deployment Templates.
  • Proficiency in configuring and managing GCP services for networking, security, storage, and compute, such as VPC, IAM, Cloud Storage, Compute Engine, and Cloud SQL.
  • Experience with implementing and managing containerized applications on GCP using Google Kubernetes Engine (GKE) or other container orchestration tools.
  • Knowledge of implementing and maintaining high availability and fault-tolerant systems on GCP.
  • Ability to troubleshoot and resolve issues related to GCP infrastructure and deployments.
  • Knowledge of GCP security best practices, including encryption, access control, and compliance.
  • Experience with implementing DevOps practices for data engineering and analytics on GCP, using services like BigQuery, Dataflow, and Dataproc.
  • Ability to design and implement cost-effective solutions on GCP, optimizing for performance and scalability.

Desired Skills (Certifications):

  • Google Cloud Professional DevOps Engineer
  • Google Cloud Professional Cloud Architect
  • Google Cloud Professional Data Engineer
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Requisition code: 300158