Job Title

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 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 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, bigdata,. 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.