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.

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 Americas Best Startup Employers. We are also proud to be one of the few software companies in Time Magazines Americas Top GreenTech Companies 2024.

The Role :

As a SDE 3 Platform Engineer at AiDASH, youll 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, youll 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, youll 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.

How you'll make an impact :

- Design, develop and deploy scalable distributed systems

- Build scalable backend systems to support internal workflows backed by automated pipelines and ML models

- Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics

- Implement scalable and resilient distributed systems, ensuring fault tolerance and reliability

- Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues

- Deploy code to production and engage in code reviews

- Refactor service to improve code quality, runtime efficiency and resource optimisation

- Build tools that improve engineering productivity

- Become in-house experts and provide consultation to product engineers to help them build scalable and reliable systems

- Evolve AiDASH architecture as we continue to scale

- Monitor, analyze, and optimize system performance and resource utilization

- Stay updated with the latest advancements in distributed systems technologies and methodologies.

What we're looking for :

Technical Expertise :

- 6+ years of experience designing and building scalable, reusable platforms/components

- Strong in system design & microservices, distributed systems, and API development

- Solid foundation in data structures & algorithms

- Hands-on expertise in Python (backend, data workflows), Spark/Big Data, Airflow and Snowflake (Good to have)

- Strong with SQL/NoSQL (PostgreSQL, MySQL, MongoDB)

- Experienced in RESTful API design, development, and maintenance

- Proficient with cloud platforms (AWS), containers (Docker, Kubernetes)

Engineering Maturity :

- Strong debugging and optimization skills load testing, profiling, bottleneck resolution

- Familiar with backend security (encryption, authN/authZ, compliance)

- Experience in CI/CD, unit testing, code coverage, and ensuring production readiness

- Focus on scalability, reliability, and cost-efficient systems

Collaboration & Leadership :

- Works well cross-functionally to build reusable platform capabilities

- Mentors peers, reviews with architectural thinking

- Can break down complex product requirements into platform abstractions

Mindset & Growth :

- Thrives in fast-paced environments, balancing delivery with long-term vision

- Curious and open to exploring new tech (e.g., AI-powered workflows)

- Bias for automation and building self-service, reusable solutions.

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.