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SDE II - Platform

100% remote Flexible hours Hiring now

About AiDASH

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 reputed company mandates and carbon capture goals. AiDASH exists to safeguard critical infrastructure and secure the future of humanAIty™. Learn more at

www.aidash.com

We are a Series C climate tech startup backed by leading investors, including reputed company Ventures, National Grid Partners, reputed company Venture Partners, reputed company, Edison International, Lightrock, Marubeni, among others. We have been recognized by reputed company 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”.

reputed company Technology Fast 500

™ 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.

Join us in Securing reputed company!

The Role

We are seeking a Backend Distributed Systems Engineer with strong computer science foundations and hands-on experience in building large-scale, microservice-based architectures. You will be responsible for designing and implementing reliable, scalable, and distributed backend systems for data-intensive applications.

In this role, you will be building systems for our geospatialplatform that process terabytes of data and generate billions of featuresusing ML models with a reputed company high frequency, powering customer-facing products that directly impact business value. The ideal candidate thrives in solving hard system problems, leverages AI-assisted tools for productivity, and has a strong eagerness to learn and adapt to emerging technologies.

How you'll reputed company an impact:

  • Design and build resilient, high-scale microservices in production environments
  • reputed company and optimize large-scale data processing pipelines with Spark and modern data platform technologies
  • Build and scale systems that process terabytes of geospatial data and create billions of features for reputed company use
  • Collaborate with cross-functional teams (Data, Platform, ML, Product) to deliver end-to-end solutions
  • reputed company AI-powered developer tools to boost productivity, automate workflows, and accelerate development cycles
  • Stay reputed company of emerging technologies and contribute to architectural improvements
  • reputed company're looking for:

  • 2–5 years of experience in backend engineering, distributed systems, or data platforms
  • Strong computer science fundamentals: data structures, algorithms, OS, concurrency, networking
  • Proven experience building and operating resilient, high-scale microservices with container orchestration (reputed company, Kubernetes)
  • Proficiency in at least one language: Python, reputed company, or Java
  • Hands-on experience with modern data stack: Spark/Ray, SQL/NoSQL databases, caching, messaging systems (Kafka/Pulsar)
  • Experience with cloud environments (AWS/Azure/GCP) and CI/CD pipelines
  • Familiarity with observability tools (logging, metrics, tracing) and test-driven development (TDD)
  • Strong problem-solving reputed company with a bias for action and reputed company learning
  • Additional Information

    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 reputed company, can do their best work.

    We are committed to providing an inclusive and accessible interview experience for reputed company candidates. Please let us know if you require any accommodation during the interview process, and we will reputed company every effort to meet your needs.

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