Backend Software Development Engineer III Platform

2 Months ago • 6 Years + • Devops

Job Summary

Job Description

As a Software Development Engineer Backend III Platform at AiDASH, you will design, develop, and deploy scalable distributed systems to ensure critical infrastructure industries become climate-resilient and sustainable. You will build backend systems to support internal workflows, focusing on automated pipelines and ML models. You will also build analytical tools to provide insight into key business performance metrics, implement scalable and resilient distributed systems, and refactor services to improve code quality and efficiency. You will work with various teams, monitor system performance, and stay updated with the latest advancements in distributed systems technologies.
Must have:
  • 6+ years designing and building scalable products/components.
  • Demonstrated skills and understanding of microservices and systems design.
  • Sound knowledge of data structures and algorithms.
  • Proficient in Python, Java, Web Framework, Spark, and big data.
  • Experience with relational or NoSQL databases like PostgreSQL/MySQL/MongoDB.
  • Experience in designing, developing, and maintaining RESTful APIs.
  • Operational experience with Docker, Kubernetes, and AWS.
  • Knowledge of performance optimization techniques and resolving bottlenecks.
  • Understanding of backend security principles, encryption, authentication.
  • Understanding of distributed system architecture and design.
  • Experience with big data technologies and Spark is a plus.

Job Details

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!
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 optimization. 
  • 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:
  • 6+ years of experience designing and building scalable reusable products/components. 
  • Demonstrated skills and understanding of microservices and systems design. 
  • Sound with data structures and algorithms. 
  • Sound understanding of Python, Java, Web Framework, Spark, and big data. Unit test cases, code quality & coverage. 
  • An extremely good working knowledge of relational database systems (PostgreSQL/MySQL) or NoSQL databases such as MongoDB. 
  • Experience in designing, developing, and maintaining RESTful APIs. 
  • Operational experience with Docker, Kubernetes, and AWS. 
  • Knowledge of performance optimization techniques, including load testing, profiling, and the ability to identify and resolve bottlenecks in backend systems.  
  • Understanding of backend security principles, encryption, authentication, and authorization. They should be knowledgeable about common security vulnerabilities and compliance requirements, ensuring the systems they develop are secure and compliant with relevant regulations. 
  • Understanding of distributed system architecture and design, including topics like load balancing, distributed databases, and microservices.  
  • Experience with big data technologies and Spark is a strong plus, especially for handling large-scale data processing and pipeline optimization. 

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. 

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About The Company

AiDash is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, and water utilities, transportation, and construction are transforming asset inspection and maintenance - and complying with biodiversity net gain mandates and carbon capture goals. Our customers deliver ROI in their first year of deployment with reduced costs, improved reliability, and achieved sustainability goals. Learn more at www.aidash.com.

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