Database & Messaging Software Engineer

Arkhya Tech Inc.; Charlotte (NC); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Arkhya Tech Inc. is seeking a Database & Messaging Software Engineer for a hybrid, full-time role in Charlotte, NC. You will design and support distributed messaging systems, leveraging Kafka, MongoDB, PostgreSQL, and API management, while ensuring observability and cloud-native automation.

You will develop event-driven, data-intensive applications, optimize performance, and contribute to secure, resilient data platforms with scripting in Python or Go.

Qualifications

• Experience designing distributed messaging solutions with Kafka.
• Proficient in MongoDB and PostgreSQL at scale.
• Developing and integrating APIs using Apigee or similar.
• Implementing monitoring/observability with Splunk, Grafana, etc.

Responsibilities

• Design and support distributed messaging solutions using Apache Kafka.
• Work with MongoDB and PostgreSQL in large-scale environments.
• Develop APIs and manage API platforms like Apigee.
• Implement monitoring and observability tooling for data platforms.

Skills

Kafka

MongoDB

PostgreSQL

API management

Observability

Cloud-native

Automation

Python

Go

Security

Tools

Apigee

Job description

We Are hiring: Full Time || Database & Messaging Software Engineer || Hybrid

Role: Database & Messaging Software Engineer

Hire Type: FTE Only

Note:Require candidates to work from the following locations with a mandatory 3 days/week work-from-office model

The client is looking for a Database & Messaging Software Engineer with strong expertise in Kafka, MongoDB, PostgreSQL, API management, observability, cloud-native technologies, and automation.

• Strong experience designing and supporting distributed messaging solutions using Apache Kafka.
• Experience working with MongoDB and PostgreSQL in large-scale production environments.
• Experience developing and integrating API solutions using Apigee or similar API management platforms.
• Experience implementing monitoring and observability using Splunk, Grafana, or equivalent tools.
• Proven experience building event-driven and data-intensive applications.
• Experience with database performance tuning, optimization, and high-availability architectures.
• Knowledge of cloud-native data platform services and messaging technologies.
• Experience automating operational and data management tasks using scripting languages such as Python or Go.
• Understanding of security, resiliency, backup, and disaster recovery concepts for data platforms.