DevOps Software Engineer, Energy Storage

About Redwood Materials

Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling — keeping critical minerals in circulation and driving the energy transition. Founded in 2019, we’re delivering low-cost and large-scale energy storage and producing battery materials in the U.S. for the first time, all from batteries we already have.

DevOps Engineer

Essential Duties:

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.

Desired 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.


• 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)


• A passion for excellence and making the world a better place!

Physical Requirements:

• Constantly perform desk-based computer tasks, grasp lightly/fine manipulation.


• Occasionally stand/walk, twist/bend/stoop/squat, reach/work above shoulders, sort/file paperwork or parts, lift/carry/push/pull objects that weigh up to 10 pounds.

Working Conditions:

• If remote, occasional (2-3 times a year) travel to Reno area


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

In accordance with California pay transparency laws, the salary range for this position is listed below. Actual compensation may vary based on a variety of factors, including experience, education, and skills.

California Pay Range:

$168,500 - $276,000 USD

The position is full-time. Compensation will be commensurate with experience.

We collect personal information (PI) from you in connection with your application for employment with Redwood Materials, including the following categories of PI: identifiers, personal records, professional or employment information, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment. If you have additional privacy-related questions, please contact us at [email protected].