Software Engineering

API Development

Our full-stack development team is highly experienced and well versed in developing microservice-based RESTful and GraphQL APIs using versatile technologies like Node.js, Python, and Go. They are equally experienced in working with different databases and cloud technologies to collect, process, and store application data.

Our team can integrate the core micro-services business layer with specialized technologies like IoT gateways, messaging systems, stream processing engines, and external marketing clouds.

Our three-fold approach of writing self-testing code, refactoring, and continuous integration, helps us respond rapidly to changing needs.

While writing code, our objective is to keep it simple; so that it can be changed quickly when the need arises, rather than complicate it by speculating future needs. We do extensive code reviews to make sure best practices are followed and code quality is maintained.

Front-end Engineering

Front-ends play the most critical part in delivering a good customer experience. The end-users will ultimately judge an application based on its ease of use, performance, and looks. Therefore we take great care in engineering it and make sure the UI behaves as expected.

Our front-end engineering team is proficient with design systems and component-based development and is equally experienced at developing single-page desktop applications, responsive web applications, and mobile apps.

Our focus on internal applications architecture and in-browser optimization helps us display real-time data with minimum latency and reduce load and response time for image-heavy websites.

We also use modern techniques and technologies like JAM stack to push application content to the edge (CDN) to make the applications SEO friendly to improve Light House scores.

Database Engineering

Data is the fuel for modern applications, and it arrives in different shapes and sizes from a variety of sources. The one-size-fits-all approach of yesteryears does not work in the current era.

Our data engineering time can help design and implement the right cloud data management strategy and architecture that is reliable and cost-effective and is well versed in creating modern open-source real-time data pipelines with modern ELT/ETL tools and stream processing engines.

Depending on your use case, we can help select and implement the right open-source relational database systems, No-SQL databases, time-series databases, document databases, cloud object stores, data lakes, data warehouses, and query engines.


Cloud is the operating system for modern applications. We make sure our development team knows as much about cloud operations and infrastructure as they do about core technologies.

Therefore we make all our developers and solution architects undergo appropriate certification. We follow the best DevOps practices and automate all cloud operation processes, including setting up and configuring cloud infrastructure, CI/CD processes to integrate and deploy code and use telemetry tools to monitor application performance.


We use a cloud-native 4Cs security approach at the code, container, cluster, and cloud level to protect applications against various threats and secure sensitive data.

At the application level, we make sure to use the top 10 OWASP mitigation techniques, encrypt data in transit and at rest, and store secrets in a separate specialized secrets management tool.

Container image signing and security scanning during the CI cycle ensure container security. At the cluster level, cloud-native IAM provides single-sign-on, resource-based access control and audit trials.