Backend Engineer

Notes from the hiring manager:
They need a Backend Engineer who is coming from enterprise companies like Google, Meta, Facebook, Apple, Amazon, etc. This is a key factor for this position.

Your key responsibilities
You will design, implement, and maintain services that power MLOps capabilities, using your skills to help Data Scientists, Data Engineers and multiple Technology Service departments manage the end-to-end ML lifecycle. 

Functional 
 Conceive and develop the backend systems & services that power our MLOps capabilities
 Collaborate as a backend developer to optimize our systems and platforms. 
 Build and implement backend servers, REST APIs, data pipelines, etc. 
 Drive architectural decisions and work with data science teams to fine-tune machine-learning algorithms. 
 Take ownership of complete delivery from ideation and defining requirements to go-live. 
 Collaborate with backend engineers, frontend engineers, designers and product managers to deliver delightful customer experiences. 
 Collaborate, coach, and mentor colleagues in an energetic, growing team. 
 Manage stakeholders and drive larger business goals. 
 Keep abreast of the latest technology trends.  
 Coach, mentor and advise junior engineers. 
 Document and track project workflows & best practices. 

Skills and attributes for success
The yardsticks of your success would include cost savings, number of successful projects, number of new and existing solutions & processes optimized, and customer NPS.

To qualify for the role you must have
 Bachelor of Computer Science, Computer Engineering, Software Engineering, or related field 
 7+ years plus industry experience 
 Knowledge and experience of the Kubernetes ecosystem, Docker and Docker Compose  
 High level experience with backend application frameworks such as Spring, Flask, Fastapi, Hasura, Swagger, SonarQube, CI/CD, Hibernates, etc. (please check these for spelling and relevance) 
 Knowledge of Cloud platforms: AWS, Azure, GCP 
 Knowledge of Server Technologies: event-pipeline, pub/sub, data streaming, distributed caching, computing and storage, ESB, ELK  

Ideally, you’ll also have
 A persevering spirit and can-do approach to problem solving 
 Proven problem-solving skills with a keen eye for detail  
 Superior presentation and documentation skills 
 Outstanding communication skills