<div><b><span>About AiDASH</span></b></div><div><br /></div><div><span>AiDASH is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, water utilities, transportation, and construction are transforming asset inspection and maintenance - and complying with biodiversity net gain mandates and carbon capture goals. AiDASH exists to safeguard critical infrastructure and secure the future of humanAIty™. Learn more at </span><a href="http://www.aidash.com/"><span>www.aidash.com</span></a><span>    </span></div><div><br /></div><div><span>We are a Series C climate tech startup backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others.  We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.”  We are also proud to be one of the few climate software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”. </span><a href="https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/topics/north-america-technology-fast-500.html?utm_source=bngaiwebsite&amp;utm_medium=referral&amp;utm_campaign=evolve-banner"><u><span>Deloitte Technology Fast 500</span></u></a><span>™ recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.  </span></div><div><span> </span></div><div><span>Join us in Securing Tomorrow!</span></div><h3>How you’ll make an impact:</h3><ul><li>Design, develop, and deploy scalable distributed systems. </li><li>Build scalable backend systems to support internal workflows backed by automated pipelines and ML models.</li><li>Building analytical tools to utilise the data pipeline, providing actionable insight into key business performance metrics. </li><li>Implement scalable and resilient distributed systems, ensuring fault tolerance and reliability. </li><li>Working with stakeholders, including data, design, product, and executive teams, and assisting them with data-related technical issues.</li><li>Deploy code to production and engage in code reviews.  </li><li>Refactor service to improve code quality, runtime efficiency, and resource optimization. </li><li>Build tools that improve engineering productivity.</li><li>Become in-house experts and provide consultation to product engineers to help them build scalable and reliable systems. </li><li>Evolve AiDash architecture as we continue to scale. </li><li>Monitor, analyse, and optimise system performance and resource utilisation. </li><li>Stay updated with the latest advancements in distributed systems technologies and methodologies. </li></ul><h3>What were looking for:</h3><ul><li>4+ years of experience designing and building scalable reusable products/components.   </li><li>Demonstrated skills and understanding of microservices and systems design.   </li><li>Sound with data structures and algorithms.   </li><li>Sound understanding of Java and Spring Boot/ Python. Unit test cases, code quality &amp; coverage.    </li><li>An extremely good working knowledge of relational database systems (PostgreSQL/MySQL) or NoSQL databases such as MongoDB.   </li><li>Experience in designing, developing and maintaining Restful APIs .  </li><li>Operational experience with Docker, Kubernetes and AWS.   </li><li>Knowledge of performance optimization techniques, including load testing, profiling, and the ability to identify and resolve bottlenecks in backend systems. </li></ul><div><span>We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work. </span></div><div><br /></div><div><span>We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs. </span></div>