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.
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, build, and manage scalable and secure cloud-based systems for SOC2 Type2 compliance.
- Ensure compliance with service-level agreements and implement effective recovery and mitigation strategies.
- Collaborate with other professionals to iteratively develop and support Rhizome’s platform.
- Adopt a proactive approach to problem-solving, demonstrating a willingness to explore multiple topics and drive innovation to enhance data quality and process efficiency.
- Mentor junior engineers by guiding their professional development, conducting code reviews, and promoting best practices.
Qualifications
- Proficiency in designing, developing, and maintaining cloud-based systems on AWS with a minimum of 7 years of experience.
- Expertise in using Terraform for infrastructure as Code with a minimum of 4 years of hands on experience.
- Experience in designing, building, and maintaining cloud-based services to support data engineering and machine learning.
- Familiarity with GitOps principles and experience in setting up robust code automation pipelines.
- Ability to maintain and manage security and control standards necessary for SOC 2 Type 2 certification.
- Experience setting up AWS Security Hub and other security-related services.
- Understanding of Databricks Cloud is a plus.
- Strong communication and collaboration skills. in designing, developing, and maintaining cloud-based systems on AWS with a minimum of 7 years of experience.
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:
- Empathy: Understanding and relating to problems, customers, and each other, with humility.
- Creativity: Exploring with curiosity and building with intention.
- Aspiration: Striving for societal impact, personal fulfillment, and simply doing good work.
- Tenacity: Pushing past barriers and the status quo with a sense of optimism and determination.
- Service Excellence: Delivering high-quality outcomes for our customers, colleagues, and communities.
Compensation
Rhizome offers competitive compensation packages based on a variety of factors including experience, role, and location.
