Nodejs/Go Developer
Tagon engineering team is responsible for providing software tools, platforms and APIs for collecting and processing large datasets, complete with search, analytics & real-time pipeline processing capabilities to address the unique challenges of our industry. We are building large distributed systems that will be the heart of data architecture to serve billions of requests, provide search & analytics across structured, semi-structured datasets, and scale out to tens of terabytes while maintaining low latency & availability & immediate discoverability by clients. We are reimagining the way we architect our data infrastructure across the company and are looking for an experienced software engineer to help. If solving intricate engineering issues with distributed systems, platform API, real-time big-data pipeline and search & discovery query patterns are your calling, we would like to hear from you.
What are we looking for?
BS Degree in Computer Engineer or related fields with a strong coding inclination
Programming experience (2+ years) NodeJS, Go
Very good knowledge of building REST services
Unit/Integration testing experience (supertest, chai, mocha)
Bonus points for
Experience with AWS Lambda
Experience with Golang development
Experience in Ad Tech industry is a huge plus
You will be responsible for
Designing and implementing highly scalable, low latency services
Building out and improving the backend services
Maintaining and enhancing existing code base using best practices in software engineering
Participating in all aspects of a project life-cycle, finding and fixing bugs and issues
Improving our engineering culture by designing, testing and documenting
Interacting with software engineers for integration of features
Evaluating and identifying new technologies
Taking responsibility for resolutions and continuously improving them
Monitoring and implementing & checking features working with billions of requests
A Quick Overview Of Our Tech Stack
ES6, React, Redux, Webpack
NodeJS, Golang, Python, AWS,Docker, Kubernetes, Redis, AWS Kinesis, TravisCI
InfluxDB, MySQL
