Design, develop and deploy scalable distributed systems.
Implement scalable and resilient distributed systems, with a high amount of fault tolerance, availability & reliability.
Lead and deliver critical projects that make our systems more robust, which increases the value proposition for the customers.
Understanding the business and product requirements, and help the team to make design choices which can easily be extended to handle future evolution of business cases.
Defining the framework and working with a talented set of engineers to implement the most optimal architectural patterns, and defining the coding standards.
Helping the team with HLD & LLD review and code reviews to make the codebase more maintainable.
Build tools that improve engineering productivity.
Refactor service to improve code quality, runtime efficiency and resource optimisation.
Working with stakeholders, including Engg, design, product, and executive teams and assisting them with technical perspectives and solving product related queries.
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 :
10+ years of experience designing and building scalable, extensible & performant products / components.
Demonstrated skills and understanding of microservices and systems design.
Hands-on experience in evolving tech stack and in-depth knowledge of system internals.
Sound understanding of Java and Spring Boot / Python / Go.
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, GRPC.
Operational experience with Docker, Kubernetes and AWS.
Knowledge of performance optimisation techniques, including load testing, profiling, and the ability to identify and resolve bottlenecks in backend systems.
Sound understanding of VAPT analysis and potential resolutions, making the system more secure.
Mentoring a team of dynamic engineers inculcating a culture of technical excellence.
Any prior experience working with GIS data and Shapefiles would be a plus