Back to Jobs

SDE II - Platform

Remote, USA Full-time Posted 2026-06-19

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 gain 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 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”.

Deloitte 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 Tomorrow!

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 very 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 make an impact:

  • Design and build resilient, high-scale microservices in production environments
  • Develop 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 downstream use
  • Collaborate with cross-functional teams (Data, Platform, ML, Product) to deliver end-to-end solutions
  • Leverage AI-powered developer tools to boost productivity, automate workflows, and accelerate development cycles
  • Stay ahead of emerging technologies and contribute to architectural improvements
  • What we'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 (Docker, Kubernetes)
  • Proficiency in at least one language: Python, Scala, 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 mindset with a bias for action and continuous 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 origin, can do their best work.

    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.

    Apply to this Job

    Similar Jobs

    Sr. Staff Software Development Engineer

    Remote, USA Full-time

    Sales Associate, Part-Time - Battlefield Mall

    Remote, USA Full-time

    Optometrist

    Remote, USA Full-time

    Optometrist - Princeton

    Remote, USA Full-time

    Sr Product Manager - Technical, Trust by Design, Devices & Services Trust, Privacy, and Accessibility

    Remote, USA Full-time

    Amazon Category Specialist

    Remote, USA Full-time

    Principal Product Manager, Tech - Decisioning & Planning, Decisioning & Planning

    Remote, USA Full-time

    Sr. Marketing Manager, Conversion, Amazon Flex

    Remote, USA Full-time

    Print and Colors Operations & Design Lead , Amazon Private Brands, Amazon Private Brands

    Remote, USA Full-time

    Amazon is hiring: Sr. Product Manager - Tech (Royalties), Music Royalties in Cul

    Remote, USA Full-time

    Dental Consultant

    Remote, USA Full-time

    Experienced Data Entry Specialist – Remote Opportunity at arenaflex

    Remote, USA Full-time

    Flight Attendant

    Remote, USA Full-time

    Managing Editor job at Sourcebooks in Naperville, IL

    Remote, USA Full-time

    Assistant Fashion Designer - Nordstrom Made Brand for Young Customer & Trend – Hybrid (Seattle, WA)

    Remote, USA Full-time

    Experienced Data Entry Associate for Entertainment Industry - Remote Opportunity at blithequark

    Remote, USA Full-time

    Entry-Level Remote Live Chat Operator – No Phone Calls, Digital Customer Support Specialist for Conversational Engagement at arenaflex

    Remote, USA Full-time

    Experienced Full Stack Live Chat Specialist – Customer Service & Support

    Remote, USA Full-time

    Experienced Baker Wanted for Crumbl Chelsea - Join Our Team and Rise to the Top in the Cookie Industry!

    Remote, USA Full-time

    Experienced Customer Support Representative – Part-Time Remote Position at blithequark

    Remote, USA Full-time