Narvar is a leader in the post purchase- customer experience space, helping leading brands and retailers build lifelong relationships with their customers. Our mission is to “Simplify the everyday lives of consumers”. We offer an enterprise SaaS platform that scales really well to handle millions of customer transactions every single day. More than 400 leading retailers including brands like NordStrom, Sephora, Walmart, GameStop use our shipment, tracking, returns and analytics products.
Narvar India is set up to scale and accelerate Narvar operations globally. Along with the existing base of customers that we are looking to grow, we also plan to address the emerging markets in APAC.
What we’re looking for
As the official Mad-hatter to join the team you would be working with every aspect of the product, to develop the experience for our clients and the end consumers. You are crucial to the team for amplifying the value and results of our platform, by assuring the development, deployment and smooth sailing of the product.
Work with Product Managers, Designers and Customer Success teams to design, develop, test and implement Narvar's cloud solutions using an iterative and agile development methodology. We push code to production several times a week
Provide DevOps support for our cloud operations
Provide engineering support for customer issues and general problem solving
Design and perform unit and integration testing, test driven development
Research and adopt new technologies and open source implementations
Write requirements and design specifications
3+ years of software development experience.
BS/MS in Computer Science, Information Systems, or equivalent
Experience in Java and frameworks like SpringBoot
Experience implementing microservice architecture patterns, sidecar, API Gateways, distributed tracing
Experience with relational databases like Postgres or MySQL and NoSQL databases like Cassandra, DynamoDB, Redis - schema design, optimization, query analysis, sharding, handling very large datasets
Knowledge of performance tuning, optimization, garbage collection
Exposure to queueing, distributed streaming, Kafka, serverless frameworks
Knowledge of some scripting language – Python, Shell scripts
An understanding of cloud native principles and software development using the services available on AWS and GCP
Experience building medium to large scale enterprise business applications
Experience with CI/CD pipelines, Docker containers