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