Staff Software Engineer - Backend

Description

• Build tools that improve engineering productivity.
• Working with stakeholders, including Engg, design, product, and executive teams and assisting them with technical perspectives and solving product related queries.
• Implement scalable and resilient distributed systems, with a high amount of fault tolerance, availability & reliability.
• Mentoring a team of dynamic engineers inculcating a culture of technical excellence.
• Design, develop and deploy scalable distributed systems.
• Lead and deliver critical projects that make our systems more robust, which increases the value proposition for the customers.
• Refactor service to improve code quality, runtime efficiency and resource optimisation.
• Defining the framework and working with a talented set of engineers to implement the most optimal architectural patterns, and defining the coding standards.
• Stay updated with the latest advancements in distributed systems technologies and methodologies.
• Monitor, analyze, and optimize system performance and resource utilization.
• Helping the team with HLD & LLD review and code reviews to make the codebase more maintainable.
• Evolve AiDash architecture as we continue to scale.
• 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.

Requirements

• Sound understanding of Java and Spring Boot/ Python/Go. Unit test cases, code quality & coverage.
• Experience in designing, developing and maintaining Restful APIs, GRPC.
• Demonstrated skills and understanding of microservices and systems design.
• Sound understanding of VAPT analysis and potential resolutions, making the system more secure.
• Knowledge of performance optimisation techniques, including load testing, profiling, and the ability to identify and resolve bottlenecks in backend systems.
• Hands-on experience in evolving tech stack and in-depth knowledge of system internals.
• Any prior experience working with GIS data and Shapefiles would be a plus.
• 10+ years of experience designing and building scalable, extensible & performant products/components.
• An extremely good working knowledge of relational database systems (PostgreSQL/MySQL) or NoSQL databases such as MongoDB.
• Operational experience with Docker, Kubernetes and AWS.

Benefits

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.

Training + Development

Interview process

Visa Sponsorship

Security clearance