Good technical knowledge and Hands On experience RESTful services, SOLID principles
Advanced knowledge of any programming language - Python/ Java/ Scala/ Rust/Kotlin etc
Expert knowledge on Kafka, Distributed data grid, Apache ignite
Large language modelling.AI & ML knowledge
Understanding of building and packaging tools.
Understanding of unit testing tools.
Good to have knowledge of Design Patterns.
Good to have CI/CD knowledge.
Product engineering background
As a Microservices API-First Cloud-Native Headless (MACH) Full Stack Engineer, you will be responsible for designing and developing microservices that are exposed through REST end points that support high-volume and low-latency on a cloud infrastructure.
As a MACH Full Stack Engineer, you will be responsible for designing and developing microservices that are exposed through REST end points that support high-volume and low-latency on a cloud infrastructure.
Design, architect, and implement scalable Infrastructure as Code .
Design and develop DevOps Pipeline that are secure and support ZTA
Drive efforts, to help the engineering group develop a scalable CICD model.
Automate development lifecycle processes, via relevant plugins and scripting across multiple SDLC tools such as Jira, GitHub, Jenkins, etc...
Automating and streamlining key DevOps tasks.
Handle and improve the Engineering infrastructure.
Design & Development of comprehensive software monitoring and alerting solutions