Software Development Engineer II - Backend

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 utilise 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, analyse, and optimise system performance and resource utilisation. 
• Stay updated with the latest advancements in distributed systems technologies and methodologies. 

What are we looking for?

• 4+ 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.