Our Engineering and Emerging Technologies (EET) team works side by side with customers to articulate a vision for success, and then make it happen. We know success doesn't happen by accident. It takes the right team of people, working together on the right solutions for the customer. We are looking for a Senior DevOps Engineer who will be a key driver to make this happen.
In this position, you will be part of the team building best in class enterprise data analytics platform. Learn and grow using Azure Infrastructure, DevSecOps, Databricks, SAFe, incremental delivery philosophy with highly supportive peers constantly sharing subject matter expertise. We’re looking for an engineer that loves working the latest technologies and embraces a growth mindset.
Responsibilities:
- Implement best in class cloud-based solutions in Azure using infrastructure as code (Terraform)
- Deploy, setup, and run infrastructure configurations for various Azure services
- Manage and optimize Databricks clusters, ensuring high availability, performance, and security
- Architect and implement scalable, reliable, and secure platform solutions
- Manage Kubernetes clusters including deployment pipelines, tuning, and troubleshooting
- Write Python based APIs and design relational data models
- Engage with technical stakeholders including but not limited to application development, networking, infrastructure, information security, risk, enterprise identity and access management, and security operations
- Enable and optimize the automation of application and infrastructure environments
- Be part of a team where you collaborate to build cloud infrastructure, with an understanding of Kubernetes, Containers and serverless functions
- Develop, maintain and improve continuous integration/continuous delivery (CI/CD) pipelines for delivering features, fixes and system updates in development, integration and production environments.
- Set up, integrate, and maintain a scalable, stable set of CI/CD tools to support development, testing, and security scanning.
- Implement application metrics collection and log aggregation to provide continuous monitoring capabilities, track all aspects of the system, infrastructure, performance, application errors and roll up metrics.
- Analyze functional and non-functional business requirements, translate them into technical operational requirements, and propose CI/CD pipelines with tools and plugins.
- Making a big impact as part of a small team that’s pushing boundaries
What you must bring:
- 3+ years of experience with Kubernetes and containers
- 3+ years of experience with Python API development and relational database modeling
- 3+ years of experience in setting up CI/CD Pipelines with integration with open-source plugins.
- Proficiency in Databricks administration, including