Golang Developer 

Position Overview: 
A successful candidate would be self-driven and excited to learn, develop and deliver distributed software systems. He or she will have a keen technical aptitude, excellent communication skills, and enjoys achieving results in a fast paced, dynamic environment. We are a CloudNative stack company and use some of the latest tech stack. 
Roles and Responsibilities: 
● Create, deploy, monitor, and maintain high performance and scalable Golang microservices in the production 
● Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. ● Build reusable production data pipelines 
● Help to manage the infrastructure and data pipelines needed to bring an ML solution to production 
● Assemble large complex data sets that meet both functional and non-functional business requirements 
● Build the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using SQL and AWS big data technologies ● Collaborate with stakeholders including the executive, product, data and design teams to assist with data-related technical issues and support their data infrastructure needs 

Must Have Skills: 
A successful Golang Microservice Developer will have: 
● Overall 8+ Years of experience in which 6+ years of Software development experience using Golang including strong understanding of software engineering principles 
● 3+ years of experience developing low-latency microservices 
● 3+ years of experience deploying and managing containerized applications, preferably using GCP/AWS Kubernetes Services 
● Experience with microservice unit, integration, and load testing. 
● Experience developing streaming capabilities in Kafka or Kinesis is an added advantage. 

● Ability to work in a Linux environment 

Good to Have Skills: 
● Experience with alerting and monitoring tools (New Relic, CloudWatch, etc.) ● 1 year of experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, Kafka, Flink etc) for building efficient, large-scale big data pipelines 
● Experience Implement data ingestion pipelines both real time and batch using best practices ● Experience with relational SQL and NoSQL databases, including Postgres and Cassandra 

Qualification: 
Master’s or Bachelor’s degree in Computer Science Engineering, or a related technical degree.

Location: Bangalore / Hyderabad