<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><div><br /></div><div><b>The Role </b></div><div><br /></div><div>As a SDE III Backend Engineer at AiDash, you’ll design, develop, and deploy scalable distributed systems that power our AI-driven platforms. You will build robust backend services, automated data pipelines, and analytical tools to deliver actionable insights for business-critical decisions. Partnering with product, data, and design teams, you’ll own solutions end-to-end — from system design to production deployment. Your expertise in microservices, Python, SQL/NoSQL, and cloud-native technologies (AWS, Docker, Kubernetes) will help evolve our architecture as we scale. Beyond coding, you’ll drive engineering excellence through code reviews, refactoring, and performance optimization, while mentoring peers and fostering reusable, reliable system design. If you thrive in solving complex challenges, love automation, and want to shape systems that make industries climate-resilient, this role is for you.</div><h3>How youll 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 utilize 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 optimisation.  </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, analyze, and optimize system performance and resource utilization. </li><li>Stay updated with the latest advancements in distributed systems technologies and methodologies. </li></ul><h3>What were looking for:</h3><ul><li><b>Technical Expertise</b> </li><div><br /></div><li>6+ years of experience designing and building scalable, reusable platforms/components. </li><li>Strong in system design &amp; microservices, distributed systems, and API development. </li><li>Solid foundation in data structures &amp; algorithms. </li><li>Hands-on expertise in Python (backend, data workflows), Spark/Big Data, Airflow and Snowflake (Good to have). </li><li>Strong with SQL/NoSQL (PostgreSQL, MySQL, MongoDB). </li><li>Experienced in RESTful API design, development, and maintenance. </li><li>Proficient with cloud platforms (AWS), containers (Docker, Kubernetes). </li><div><br /></div><li><b>Engineering Maturity</b> </li><div><br /></div><li>Strong debugging and optimization skills — load testing, profiling, bottleneck resolution. </li><li>Familiar with backend security (encryption, authN/authZ, compliance). </li><li>Experience in CI/CD, unit testing, code coverage, and ensuring production readiness. </li><li>Focus on scalability, reliability, and cost-efficient systems. </li><div><br /></div><li><b>Collaboration &amp; Leadership</b> </li><div><br /></div><li>Works well cross-functionally to build reusable platform capabilities. </li><li>Mentors peers, reviews with architectural thinking. </li><li>Can break down complex product requirements into platform abstractions. </li><div><br /></div><li><b>Mindset &amp; Growth</b> </li><div><br /></div><li>Thrives in fast-paced environments, balancing delivery with long-term vision. </li><li>Curious and open to exploring new tech (e.g., AI-powered workflows). </li><li>Bias for automation and building self-service, reusable solutions. </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>