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SDE 2 - Platform

AiDash

Bengaluru, Karnataka, India · Gurugram, Haryana, India

Posted on Nov 3, 2025

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About AiDASH

AiDASH is an enterprise AI company and the leading provider of vegetation risk intelligence for electric utilities. Powered by proprietary VegetationAI™ technology, AiDASH delivers a unified remote grid inspection and monitoring platform that uses a SatelliteFirst approach to identify and address vegetation and other threats to the grid. With a prevention-first strategy to mitigate wildfire risk and minimize storm impacts, AiDASH helps more than 140 utilities reduce costs, improve reliability, and lower liability across their networks. AiDASH exists to safeguard critical utility infrastructure and secure the future of humanAIty™. Learn more at www.aidash.com.

We are a Series C growth company 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 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 geospatial platform 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

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.

Read our Privacy Policy here: https://www.aidash.com/policy/privacy-policy/

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