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<div class="ember-view organization-about-module__content-consistant-cards-description" id="ember55">Sustainability Intelligence. Dayrize is bringing product life cycle assessment transparency to the mass consumer market, making it accessible for brands of all sizes to validate their sustainability claims - enabling brands to reduce costs, unlock additional revenue, and build brand value. Dayrize's purpose is to bring consumption within planetary boundaries by helping businesses and consumers reduce their impact. Until now the process of understanding the impact of consumer products has been complex, time-consuming and expensive. Existing assessments cost up to $50,000 and can take up to 6 months for a single product. We decided to solve this and make impact assessments accessible for all businesses, by pulling together a team of 20 of the world’s best environmental scientists, industrial ecologists and technology experts. The result is the most advanced impact measurement technology ever created which provides transparency throughout the entire production process. This makes it easy for both consumers and businesses to understand and ultimately reduce their environmental and social impact. We have reduced the time it takes to assess the impact of a product from months down to minutes, at a fraction of the cost of existing assessments, making it accessible for all businesses, large and small. We have already partnered with over 500 brands and scored thousands of products... And we are just getting started. We have ambitious plans to bring impact transparency to every consumer product in the world!</div>
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Focus: Mitigation or Adaptation

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Making sustainability assessments fast, affordable, and accessible to all businesses.

<div><div>As a Senior Software Engineer at Dayrize you will play a pivotal role in driving the development of cutting-edge software solutions. Leveraging your mastery of software engineering and technical leadership, you will contribute to the success of complex projects by architecting robust, scalable, and maintainable systems. You will mentor and guide junior engineers, fostering a culture of continuous learning and technical excellence. Your role will involve collaboration with cross-functional teams, effective communication with stakeholders, and shaping the technical vision and roadmap of the organization. Key Responsibilities:<ol><li>Technical Leadership:<ul><li>Provide mentorship and technical leadership to junior engineers, setting high standards for excellence.</li><li>Drive the successful delivery of complex projects, ensuring alignment with business requirements and adding significant value.</li></ul></li><li>System Architecture and Development:<ul><li>Architect and develop robust, scalable, and maintainable software systems, addressing technical complexities.</li><li>Utilize your senior Python engineering skills to design software solutions, translating requirements into effective solution designs.</li></ul></li><li>Communication and Collaboration:<ul><li>Effectively communicate technical concepts to both technical and non-technical stakeholders.</li><li>Collaborate with cross-functional teams, product managers, and designers to deliver optimal solutions.</li></ul></li><li>Strategic Contribution:<ul><li>Contribute to the technical vision and roadmap of the organization, driving innovation and continuous improvement.</li><li>Contribute to the definition and execution of technical strategies, aligning them with organizational goals.</li></ul></li><li>Project Management:<ul><li>Play a key role in project planning, task prioritization, and resource allocation to ensure timely delivery.</li><li>Demonstrate expertise in multiple technical domains and actively mentor others to enhance their skills.</li></ul></li><li>Google Cloud Platform Expertise:<ul><li>Possess hands-on experience with Google Cloud Platform, particularly in BigQuery, Cloud Run, PubSub, Cloud Storage, and Cloud Dataflow.</li><li>Utilize your expertise in GCP to optimize performance, solve complex technical problems, and ensure code quality.</li></ul></li><li>Leadership and Mentorship:<ul><li>Mentor junior engineers, driving technical excellence and fostering a culture of continuous learning.</li><li>Take responsibility for delivering complex projects, considering their broader impact on the organization.</li></ul></li></ol> Qualifications:<ul><li>Proven experience as a Senior Software Engineer, demonstrating expertise in Python.</li><li>Previous experience as a team lead for software engineers.</li><li>Strong ability to translate requirements into effective software designs.</li><li>In-depth knowledge of Google Cloud Platform, specifically BigQuery, Cloud Run, PubSub, Cloud Storage, and Cloud Dataflow.</li><li>Excellent communication skills to convey technical concepts to diverse audiences.</li><li>A track record of successful project delivery and the ability to drive technical strategies aligned with organizational goals.</li></ul></div></div>

Senior Software Engineer (L5)

<div><div>As a Senior Data Engineer at Dayrize, you will play a crucial role in designing, developing, and optimizing data pipelines and integration processes. Collaborating with cross-functional teams, you will ensure the efficiency and scalability of our data solutions. Your expertise in data engineering and proficiency with Google Cloud Platform will contribute to the evolution of our data architecture and best practices. Additionally, you will provide guidance to junior team members, communicate effectively with stakeholders, and take ownership of specific deliverables on projects of moderate complexity. Key Responsibilities:<ol><li>Data Pipeline Design and Development:<ul><li>Design, develop, and optimize data pipelines and integration processes.</li><li>Implement complex data pipelines, optimize data processing, and ensure data quality.</li></ul></li><li>Mentorship and Collaboration:<ul><li>Provide guidance and mentorship to junior team members.</li><li>Collaborate with cross-functional teams to design and implement efficient and scalable data solutions.</li></ul></li><li>Data Engineering Strategy:<ul><li>Contribute to the design and development of data solutions, improving data availability and reliability.</li><li>Understand business requirements and contribute to data engineering strategies.</li></ul></li><li>Communication and Stakeholder Engagement:<ul><li>Effectively communicate with stakeholders, providing technical expertise and insights.</li><li>Collaborate with cross-functional teams to ensure alignment with business needs.</li></ul></li><li>Architecture Evolution and Best Practices:<ul><li>Contribute to the evolution of the data engineering architecture and best practices.</li><li>Work on projects of moderate complexity, taking ownership of specific deliverables.</li></ul></li><li>Technical Proficiency:<ul><li>Demonstrate proficiency in data modeling, SQL, ETL processes, data warehousing, and cloud platforms.</li><li>Leverage senior Python engineering skills to design and develop data-driven software solutions.</li></ul></li><li>Google Cloud Platform Expertise:<ul><li>Utilize experience with Google Cloud Platform, especially BigQuery, Dataform, and VertexAI.</li><li>Apply GCP knowledge to enhance data solutions, ensuring optimal performance and reliability.</li></ul></li><li>Project Planning and Prioritization:<ul><li>Plan and prioritize tasks, ensuring the timely delivery of data engineering projects.</li><li>Take ownership of specific deliverables, ensuring their successful completion.</li></ul></li></ol> Qualifications:<ul><li>Proven experience as a Senior Data Engineer with a focus on data pipeline design and development.</li><li>Strong proficiency in data modeling, SQL, ETL processes, data warehousing, and cloud platforms.</li><li>Experience with Google Cloud Platform, especially BigQuery, Dataform, and VertexAI.</li><li>Senior-level Python engineering skills with the ability to design and develop data-driven software solutions.</li><li>Effective communication skills and the ability to collaborate with cross-functional teams.</li><li>Demonstrated mentorship and guidance to junior team members.</li><li>Understanding of business requirements and contribution to data engineering strategies.</li></ul></div></div>

Senior Data & AI Engineer (L4)

<div><div>As a Site Reliability Engineer at Dayrize, you will play a vital role in ensuring the smooth operation of our software systems and contribute to their scalability and efficiency. You will take ownership of specific components, collaborate with junior engineers, and provide guidance. Your role involves deepening expertise in cloud-native offerings, setting up and maintaining services on Google Cloud Platform, and ensuring 24x7 reliability for our customers worldwide. Additionally, you will contribute to architectural decisions, participate in project planning, and continuously strive to enhance our technical strategies. Key Responsibilities:<ol><li>Ownership and Collaboration:<ul><li>Take ownership of specific components or modules, collaborating with junior engineers and providing guidance.</li><li>Collaborate closely with team members, sharing knowledge, and fostering a collaborative work environment.</li></ul></li><li>Software Design and Implementation:<ul><li>Play a significant role in the design and implementation of software systems, ensuring successful deployment.</li><li>Develop complex software solutions, applying best practices and addressing technical challenges.</li></ul></li><li>Communication and Collaboration:<ul><li>Effectively communicate ideas, collaborate with cross-functional teams, and provide insights during discussions.</li><li>Contribute to project planning, task estimation, backlog grooming, and sprint planning.</li></ul></li><li>Technical Expertise and Innovation:<ul><li>Contribute to the technical vision of the project, identifying opportunities for innovation and improvement.</li><li>Deepen expertise in specific technical domains, stay up-to-date with industry trends, and acquire new skills.</li></ul></li><li>Architectural Decisions and Technical Strategies:<ul><li>Contribute to architectural decisions and assist in planning and executing technical strategies.</li><li>Ensure integration of assigned tasks within the defined scope and alignment with the larger system.</li></ul></li><li>Google Cloud Platform Proficiency:<ul><li>Utilize experience with Google Cloud Platform, setting up, configuring, and maintaining cloud-native offerings.</li><li>Ensure smooth operation 24x7, report on Service Levels, deploy and set up monitoring for our global customers.</li></ul></li><li>Infrastructure and Tools:<ul><li>Apply experience with Terraform, CI/CD, Bitbucket, JIRA, OpsGenie, and other relevant tools.</li><li>Contribute to the continuous improvement of our infrastructure and deployment processes.</li></ul></li></ol> Qualifications:<ul><li>Demonstrated experience as a Site Reliability Engineer with expertise in maintaining cloud-native offerings.</li><li>Proficiency with Google Cloud Platform services, including Cloud Run, Cloud Storage, Cloud Load Balancer, Identity Management, BigQuery, and Dataflow.</li><li>Hands-on experience with Terraform, CI/CD, Bitbucket, JIRA, OpsGenie, and related tools.</li><li>Strong software engineering skills with experience in designing and implementing complex systems.</li><li>Effective communication and collaboration skills, with the ability to mentor junior engineers.</li><li>Proven ability to contribute to architectural decisions and technical strategies.</li><li>Commitment to ensuring high-quality, scalable, and efficient software solutions.</li></ul></div></div>

Site Reliability Engineer (L4)

<div><div>As a Senior Site Reliability Engineer at Dayrize, you will be a key contributor in developing software solutions while providing technical leadership and guidance to the team. Leveraging your extensive experience, you will architect and design robust, scalable, and maintainable systems, solving complex technical problems and ensuring code quality through rigorous testing and reviews. Your role involves collaborating with stakeholders, mentoring junior engineers, and fostering a culture of continuous learning. With expertise in Google Cloud Platform and relevant tools, you will play a vital role in maintaining the smooth operation of our software 24x7 for customers worldwide. Key Responsibilities:<ol><li>Technical Leadership and Mentorship:<ul><li>Provide technical leadership and mentorship to junior engineers, setting high standards for excellence.</li><li>Actively mentor others to improve their skills and contribute to a culture of continuous learning.</li></ul></li><li>Project Delivery and Architectural Excellence:<ul><li>Drive the successful delivery of complex projects, ensuring alignment with business requirements and adding value.</li><li>Architect and develop robust, scalable, and maintainable software systems, addressing technical complexities.</li></ul></li><li>Communication and Collaboration:<ul><li>Effectively communicate technical concepts to both technical and non-technical stakeholders.</li><li>Collaborate with cross-functional teams, product managers, and designers to deliver optimal solutions.</li></ul></li><li>Strategic Contribution:<ul><li>Contribute to the technical vision and roadmap of the organization, driving innovation and continuous improvement.</li><li>Contribute to the definition and execution of technical strategies, aligning them with organizational goals.</li></ul></li><li>Project Planning and Execution:<ul><li>Play a role in project planning, task prioritization, and resource allocation, ensuring timely delivery.</li><li>Demonstrate expertise in multiple technical domains, considering the broader impact on the organization.</li></ul></li><li>Google Cloud Platform Proficiency:<ul><li>Utilize experience with Google Cloud Platform, setting up, configuring, and maintaining cloud-native offerings.</li><li>Ensure smooth 24x7 operation, report on Service Levels, deploy and set up monitoring for global customers.</li></ul></li><li>Infrastructure and Tools:<ul><li>Apply experience with Terraform, CI/CD, Bitbucket, JIRA, OpsGenie, and other relevant tools.</li><li>Contribute to the continuous improvement of our infrastructure and deployment processes.</li></ul></li></ol> Qualifications:<ul><li>Proven experience as a Senior Site Reliability Engineer with a focus on technical leadership and software development.</li><li>Extensive expertise in Google Cloud Platform services, including Cloud Run, Cloud Storage, Cloud Load Balancer, Identity Management, BigQuery, and Dataflow.</li><li>Hands-on experience with Terraform, CI/CD, Bitbucket, JIRA, OpsGenie, and related tools.</li><li>Strong software engineering skills with the ability to architect and develop robust and scalable systems.</li><li>Effective communication skills and the ability to collaborate with cross-functional teams.</li><li>Demonstrated mentorship and guidance to junior engineers.</li><li>Commitment to ensuring high-quality, reliable software solutions running 24x7 for global customers.</li></ul></div></div>

Senior Site Reliability Engineer (L5)

<div><div>As a Staff Data Engineer at Dayrize, you will be at the forefront of leading the design, implementation, and optimization of scalable data systems. You will provide technical leadership, mentorship, and contribute to the overall data engineering strategy. Your role involves driving the development of robust and scalable data solutions, shaping the data engineering roadmap, and collaborating with cross-functional teams to align initiatives with business goals. With expertise in data modeling, SQL, ETL/ELT processes, distributed systems, and cloud technologies, you will lead and execute complex data engineering projects, ensuring a significant impact on the organization. Key Responsibilities:<ol><li>Technical Leadership and Mentorship:<ul><li>Provide technical leadership, mentor junior team members, and influence best practices.</li><li>Lead and execute complex data engineering projects with a significant impact on the organization.</li></ul></li><li>Data Solution Development:<ul><li>Drive the development of robust and scalable data solutions, addressing complex challenges.</li><li>Architect and implement data pipelines, optimizing performance, and ensuring high-quality data.</li></ul></li><li>Communication and Stakeholder Engagement:<ul><li>Effectively communicate with stakeholders, influence decision-making, and provide technical guidance.</li><li>Collaborate with cross-functional teams, establish partnerships, and drive alignment.</li></ul></li><li>Strategic Contribution:<ul><li>Shape the data engineering roadmap, aligning it with business goals and industry trends.</li><li>Contribute to the strategic planning and implementation of data engineering initiatives.</li></ul></li><li>Project Management:<ul><li>Develop project plans, set priorities, and oversee the execution of data engineering projects.</li><li>Take ownership of project outcomes, ensuring alignment with organizational objectives.</li></ul></li><li>Expertise in Data Technologies:<ul><li>Demonstrate expertise in data modeling, SQL, ETL/ELT processes, distributed systems, and cloud technologies.</li><li>Utilize senior Python engineering skills to define the vision and design and develop data-driven and AI software solutions.</li></ul></li><li>Google Cloud Platform Proficiency:<ul><li>Leverage experience with Google Cloud Platform, especially BigQuery, Dataform, and VertexAI.</li><li>Apply GCP knowledge to optimize data solutions and contribute to technological advancements.</li></ul></li></ol> Qualifications:<ul><li>Proven experience as a Staff Data Engineer, leading the design and implementation of scalable data systems.</li><li>Strong expertise in data modeling, SQL, ETL/ELT processes, distributed systems, and cloud technologies.</li><li>Experience with Google Cloud Platform, especially BigQuery, Dataform, and VertexAI.</li><li>Senior-level Python engineering skills with a focus on defining vision and designing and developing data-driven and AI software solutions.</li><li>Effective communication skills, with the ability to influence decision-making and provide technical guidance.</li><li>Demonstrated leadership in driving complex data engineering projects with significant organizational impact.</li></ul></div></div>

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