DevOps Engineer

April 15

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Climate Arc

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Climate Arc is a public charity in the United States focused on accelerating global climate goals by facilitating financial flows towards effective climate solutions. The organization provides businesses with the necessary tools and insights to align their financial decisions with climate objectives. Through funding and research, Climate Arc supports organizations in developing essential climate solutions and promotes climate-aligned decision-making in the wider economy by offering access to top climate research and analytics.

2 - 10 employees

Founded 2023

🤲 Charity

💸 Finance

🌍 Social Impact

📋 Description

• About us. • Climate Arc (Arc) is a philanthropic organization. • We ensure that financial decision makers have the tools, data, and skillsets needed. • Arc implements its strategy through grantmaking and proprietary products and programs. • About the opportunity. • Arc funds entities that produce raw data and analytics for thousands of entities globally. • Additionally, Arc aggregates the output in a common database. • Climate data and analytics must be open and accessible. • We make data available for sectors and regions not yet attracting financing at scale. • Arc is now looking for a driven DevOps Engineer to support the design, build and maintenance of our data warehouse. • You will work closely with our Research and Program team as well as end users and other stakeholders.

🎯 Requirements

• Experience of cloud computing, e.g. Azure, AWS, GCP (preferred) • Infrastructure as Code (terraform) • Scripting skills, e.g. bash, python and automation skills • Knowledge of containerization concepts, Kubernetes • Security, DevSecOps knowledge, as well as monitoring and logging solutions • Experience with at least one of Java, Python (preferred), Node.js • Basic database skills & SQL • Continuous integration and GitLab experience • Experience with open data • Experience in the financial industry • Understanding of net zero transition • Green software concepts, patterns, best practices • Basic understanding on Machine Learning and AI, MLOps

🏖️ Benefits

• Generous paid time off • Health and wellbeing program • 9% employer contribution to retirement planning • Enhanced family pay and leave policies • Professional learning & development program • Professional membership paid (if applicable) • Nomad working policy