Backend Development

At BeeHyv, we have designed and developed a wide range of large-scale backend systems. These include multi-tenant multi-cloud SaaS platforms using modern microservices-based architectures, high volume data processing systems for analytics and MIS dashboards, product components for metadata extraction with 40+ connectors for different data sources.

These systems were developed for customers across different industry verticals like enterprise software products, cloud security, education, healthcare, finance, travel, biotech, and e-commerce.

Our offerings and the problems we solve

Design and develop highly scalable, multi-component, distributed backend systems
Development based on Microservices Architectures
Design and development of data pipelines that support multiple applications
Containerized deployments and autoscaling with Kubernetes
Design and develop cloud-native, stream-native, secure and distributed secure enterprise applications
Design applications leveraging different kinds of data sources like relational databases, search engines, Document databases and columnar databases based on the suitability for specific use-cases.
Re-platforming of legacy enterprise applications taking complexities of background jobs, multiple applications and systems into consideration in a seamless fashion.

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Expertise

Extensive experience in building backend systems and RESTful services using Java, Python, Golang, NodeJS etc
Architected and built modular, highly available and extremely scalable applications for various enterprise customers.
Extensive experience in architecting and implementing Microservices and Serverless architectures.
Expertise in Async programming – Messaging Queues, or using native cloud services like Pub-Sub etc.
Integrations with external Third party APIs and systems like payment gateways, maps, authentication providers etc.
Extensive experience with Infrastructure automation tools and deployment pipelines.
Extensive experience in working with NoSQL and SQL databases, event streams and distributed computing.
Skilled in performance tuning, query plan / explain plan analysis, indexing and table partitioning.
Experience in implementing applications adhering to industry standards of security guidelines.

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Technologies, Platforms and Frameworks

Java

Python

golang

NodeJS

Elastic Search

Kafka

Spark

Hadoop

MongoDB

Redshift

Jenkins

Terraform

Kerberos

Talend

BigQuery

DB2-LUW

Postgres

MySQL

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Backend Development

Backend Development

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