Senior DevOps Engineer
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.)