Teja Illa

Senior Software Engineer

Bengaluru, Karnataka, India4 yrs 10 mos experience

Highly Stable

Key Highlights

Expert in backend API development and data management.
Pivotal in creating Workspot's monitoring tool, Watch.
Strong foundation in multiple database technologies.

Stackforce AI infers this person is a Backend Software Engineer specializing in SaaS solutions with a focus on API development.

Contact

Skills

Core Skills

Backend DevelopmentApi DevelopmentMachine LearningFrontend Development

Other Skills

PostgresCassandraRedisMongoDBJavaSpring BootRabbitMQAzureSQLDatabase ApplicationsTensorFlowElasticReact JSDockerKubernetes

About

I am a Software Engineer specialized in developing robust backend APIs with the capacity to seamlessly manage large volumes of data. My skill set encompasses a wide range of technologies, including Postgres, Cassandra, Redis, MongoDB, Core Java, Spring Boot, RabbitMQ, and Azure. These experiences have provided me with a robust foundation in backend development and have equipped me to tackle complex challenges with confidence. One of my most notable accomplishments was my pivotal role in conceiving and developing Workspot's innovative monitoring tool, Watch. I'm passionate about creating efficient, scalable, and reliable software solutions, and I'm always eager to take on new challenges and collaborate with like-minded professionals. If you're interested in discussing how my expertise can contribute to your organization's success, please feel free to reach out. Let's connect and explore the possibilities

Experience

4 yrs 10 mos

Total Experience

4 yrs 6 mos

Average Tenure

4 mos

Current Experience

Sentinelone

Senior Software Engineer

Jan 2026 – Present · 4 mos · Bengaluru, Karnataka, India · Hybrid

Workspot, inc

Senior Software Engineer - L2

Jul 2021 – Jan 2026 · 4 yrs 6 mos · Hyderabad, Telangana, India · Remote

Part of Workspot's monitoring tool called Watch which provides robust monitoring
instant alerting capabilities to troubleshoot and identify health activity of 25k (and
scaling) remote VMs..
Responsible for creating Backend API’s which are capable of handling huge amounts
of data and developed functionalities that help in monitoring and troubleshooting
Built different alerting mechanisms and provided multiple features which help in the
reduction of COGS.
Automated the Gateway patching, maintenance, and managing orphaned resources
flow through scripts which helps the Support-Operations team of Workspot.
Replaced the existing Azure Service bus with RabbitMQ which handles the incoming
heart beat data from all VM’s.
Actively involved in Requirement Gathering, Design, Implementation, Code review and GA
Techstack worked: Postgres, Cassandra, Redis, MongoDB, Java,
SpringBoot, RabbitMQ, Azure

PostgresCassandraRedisMongoDBJavaSpring Boot+6

Picxy

Software Development Intern( Machine Learning)

Aug 2020 – Jul 2021 · 11 mos · Hyderabad, Telangana, India

Part of the Engineering team which aimed at improving search engine results by incorporating contextually relevant image tags leveraging Elastic, a powerful search engine technology.
Using TensorFlow, we achieved the task of categorizing 2 million images into seed categories. This project resulted in enhancing user experiences by presenting visually engaging and contextually appropriate images in search results.
Hands-on experience in building UI components using React JS and working with Docker & Kubernetes
The project yielded several significant benefits and had a positive impact on the search engine's performance and user satisfaction. By incorporating contextually relevant images, we improved the overall search experience, providing users with visual cues that complemented the textual information

E-pragati

Summer Intern

May 2019 – Jul 2019 · 2 mos · Greater Vijayawada District

In the project, I was responsible for deploying APIs on-premise using Cloud Hub to provide customization and control over implementation. This involved setting up an environment where APIs could be hosted and managed securely within the company's infrastructure.
To enable monetization of the APIs, I integrated them with a MySQL database. This allowed the company to track and manage the usage of the APIs, as well as configure billing and pricing structures for their customers. By leveraging the power of the database, the company was able to implement effective monetization strategies and generate revenue from their API offerings.

MySQLDatabase ApplicationsAPI Development