Senior DevOps Engineer

Redwood Materials is looking for motivated and talented DevOps engineers to help architect, build, and deploy infrastructure and applications in a hybrid AWS and Kubernetes environment. These applications will cover use cases from web integrations with auto manufacturers to predictive machine controllers to new battery-based energy products. The ideal candidate is someone experienced with creating, managing, and supporting both AWS infrastructure and Kubernetes (self-hosted and AWS EKS based) using infrastructure-as-code tools. This is an opportunity to join during a critical growth phase and build green field software experiences and capabilities which will have a significant impact on the company’s day-to-day operations and ability to scale.

Responsibilities Will Include:

• Leverage existing in-house AWS architectures and design new ones where needed, using the CDK tool kit to manage and create AWS resources.
• Operationalize workloads in AWS and Kubernetes, helping to design and implement monitoring solutions and deployment pipelines.
• Enhance existing and implement new build/test/deploy automated pipelines.
• Partner with on-prem counterparts to drive hybrid infrastructure projects.
• Apply industry best practices (automation through infrastructure-as-code, security, etc.)
• Perform root cause analysis of production errors and resolve technical issues.
• Author and maintain detailed design documents and system architecture diagrams.

Qualifications:

• Bachelor's degree in Computer Science, similar technical field of study, or equivalent practical experience.
• Minimum 3 years of hands-on experience as a DevOps engineer or in a similar software engineering role developing solutions in AWS.
• Similar hands-on experience deploying and managing Kubernetes workloads.
• Solid knowledge and experience with AWS services: IAM, Lambda, API Gateway, S3, VPC, DynamoDB, etc.
• Solid knowledge and experience with Kubernetes and containerization: configuring and managing clusters, helm chart development and deployment, building containers, working with docker, etc.
• Experience automating AWS solutions using infrastructure-as-code tools, such as CDK, Terraform, CloudFormation, etc.
• Fluency in Python strongly desired.
• Experience with Linux, Git.
• An understanding of security best practices, and the experience, to know when and where to apply them.
• Working knowledge of databases (relational and non-relational) a plus.
• Demonstrated ability to manage production workloads (debugging, monitoring, alerting).

Working Conditions:

• Infrequent night/weekend work if production systems are down and require immediate attention. (No formal on-call rotation; part of shared team responsibility.)