Senior Consultant-DevOps

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, , 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, , 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