What are the responsibilities and job description for the Cloud Engineer/Architect (Consultant) position at Rhizome Data?
Rhizome is seeking a CloudOps Engineer who can develop and scale end-end Machine Learning pipelines with Weather, Climate and Utility data. The ideal candidate will have a strong background in developing code automation, IaC through Terraform with deep expertise in AWS. Successful candidates will have practical experience working with Terraform, identity and security automation, code automation, data redundancies and replication, service provisioning, security and compliance on AWS or GCP. This role will initially report to the CTO.
Scroll down the page to see all associated job requirements, and any responsibilities successful candidates can expect.
About Rhizome
Rhizome is at the forefront of developing decision intelligence technology at the intersection of climate science and infrastructure systems. Our team pursues this endeavor with the wisdom and steadiness of industry veterans, and the curiosity, grit, and energy of startup and technology enthusiasts.
Our climate resilience SaaS platform helps utilities, governments, and industries plan for greater resilience to climate change and extreme weather by applying AI to a vast amount of information that characterizes infrastructure assets and their vulnerability to extreme weather. Focused on the $500B resilience investment gap on the grid today, our mandate is simple : Help electric utilities proactively adapt to climate change by integrating cutting-edge climate-asset intelligence into their existing planning workflows. As the world experiences record-breaking climate-related impacts, especially related to grid failures, our platform identifies future extreme weather vulnerabilities on utility assets at high resolutions and empowers planners to optimize investment deployments that keep society safe during natural hazard events.
Roles and Responsibilities
- Design, construct, and maintain statistical & ML pipelines to combine and analyze large volumes of geospatial, climate weather, and electric utility data
- Develop deep familiarity with electric utility datasets and take ownership of integration of new datasets into our existing environments
- Work with cross-functional team to deliver results in support of analytic and ML workflows using Rhizome’s platform
- Standardize and scale multi-tenant data storage and collaborate with Application Development team to deliver results through gridADAPT and gridFIRM
- Contribute to ML model development at scale in context of reliability and resiliency for the grid
- Develop and optimize versioned, scalable, repeatable and reliable pipelines for utility data that is in GIS and Tabular format to Delta Lake format
- Scale, Automate and Maintain pipelines for statistical and ML use cases to serve internal and external customers
Qualifications
Culture and Core Values
At Rhizome, we lead with compassion and empathy, aiming to understand before we help. Our thesis as technologists is that, in order to fulfill our mission to protect society from the impacts of climate change through intentional, intelligent infrastructure planning, we need to embark on a journey of respectfully listening, learning, and then problem-solving. This sentiment is represented through our core values :
Compensation
Rhizome offers competitive compensation packages based on a variety of factors including experience, role, and location.
J-18808-Ljbffr
