Lead requirements analysis and define designs for new tools, as well as enhancements to existing tools and systems.
Architect and lead the development of scalable and secure back end and front-end systems.
Provide technical direction and guide junior engineers.
Recommend, establish and maintain technical design methodologies and processes.
Develop and implement automated testing strategies to improve efficiency.
Implement and drive best coding practices and design patterns.
Develop and maintain quality gates for continuous integration and continuous deployment.
Collaborate with cross functional teams to ensure high quality project delivery.
Requirements
Bachelors or Master’s degree in computer science engineering or equivalent and 8+ years of professional software engineering experience.
Expertise in developing Cloud native intelligent analytics solutions.
Experience with Go, Python, Java or similar technologies.
Expertise in building data warehouse analytics solutions.
Strong background with designing backend SQL/ NoSQL databases and performance tuning.
Experience with Front end technologies like React.
Familiarity with Machine Learning models and AI techniques.
Familiarity with System observability and monitoring.
Hands on experience with Docker and Kubernetes as well as developing applications using microservices architecture with Cloud platforms such as AWS or GCP.
Excellent communication skills and leadership skills.
Ability to independently work across team boundaries and own projects.
Ability to guide team members on technical aspects.