Devops Engineers - AWS / Azure - Senior Associate

Role & responsibilities

• Developing and deploying cloud-based DevOps pipelines across AWS and Azure environments for data and analytics engineering solutions
• Automating infrastructure provisioning, application delivery, and environment configuration using scripting and infrastructure as code tools
• Monitoring system performance, deployment activity, and pipeline reliability to identify issues and support timely resolution
• Collaborating with client teams to gather requirements, translate technical needs into delivery workstreams, and adapt solutions to changing priorities
• Applying data science and analytics knowledge to support scalable solutions, model deployment, and workflow optimization
• Reviewing code, deployment scripts, and pipeline components to validate quality, security, and alignment with technical standards
• Interpreting operational data and incident trends to recommend improvements in release processes, stability, and delivery efficiency
• Mentoring junior team members, sharing technical approaches, and supporting assigned tasks across active client engagements

What Sets You Apart

• Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
• Demonstrating AWS and Azure DevOps delivery across client engagements
• Applying data engineering, data modeling, and pipeline automation skills
• Using Python, SQL, and scripting for deployment workflows
• Interpreting analytics to guide recommendations and technical decisions

• Mentoring junior team members while navigating ambiguity

• AWS/Azure Services
• Infrastructure as Code (Terraform)
• CI/CD Pipelines
• Docker & Kubernetes
• Monitoring & Logging
• Security Best Practices
• Automation