Staff Software Development Engineer - Backend

Posted 11 Days Ago
Be an Early Applicant
Bengaluru, Karnataka
Hybrid
Expert/Leader
Artificial Intelligence • Software
The Role
Design, develop, and deploy scalable distributed systems. Build backend systems to support internal workflows, analytical tools for data pipeline, and tools to improve engineering productivity. Assist stakeholders with technical issues, monitor system performance, and stay updated with distributed systems technologies. Ideal candidate should have 8+ years of experience, strong knowledge in microservices and systems design, proficiency in Java, Spring Boot, Python, databases, Restful APIs, Docker, Kubernetes, AWS, performance optimization, and backend security principles.
Summary Generated by Built In

Who is 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, 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.


Our Work Code  


Take ownership- All of us are on this ship together. When you see a problem to fix or an area to improve, do it! We are here to build the ship, not just paint it.


Move quickly and make mistakes- We're not afraid to take risks. Be bold, be Creative & be experimental and try things; it's better to validate an idea quickly than to fall behind chasing perfection.


Have a point of view and embrace the debate- We value diversity of opinion and don't stand on hierarchy. Speak up, and you'll be heard.


Be helpful and empathetic- We believe that empathy is the foundation of building a great Culture, great team, product, and service. We look at things from our users' perspectives, and we always treat our users and each other with trust and mutual respect.



What will you do?

  • 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 are we looking for?

  • 8+ 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 Java and Spring Boot/ Python. 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.

What will make you a great candidate?

  • Strong experience with Docker, Kubernetes, and AWS.
  • Experience with geospatial concepts and visualisation concepts and libraries like GeoServer, PostGIS Database, Shapefiles, Projections, Rasters, And GraphQL 
  • Experience with ElasticSearch, Redis, Memcached
  • Experience with Bamboo, Cucumber, SonarQube

Top Skills

Java
Python
Spring Boot
The Company
HQ: San Jose, CA
240 Employees
On-site Workplace
Year Founded: 2019

What We Do

AiDash is an AI-first vertical SaaS company on a mission to transform operations, maintenance, and sustainability in industries with geographically distributed assets by using satellites and AI at scale. With access to a continual, near real-time stream of critical data, utilities, energy, mining, and other core industries can make more informed decisions and build optimized long-term plans, all while reducing costs, improving reliability, and achieving sustainability goals. To learn more about how AiDash is helping core industries become more resilient, efficient, and sustainable, visit www.aidash.com.

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