Nitish Raj Moganti

Software Engineer

Hyderabad, Telangana, India3 yrs experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in Java, Python, and Go programming languages.
  • Proven track record in building scalable backend systems.
  • Strong experience in cloud technologies and microservices architecture.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in SaaS and cloud technologies.

Contact

Skills

Core Skills

JavaAwsSpring BootMonitoring

Other Skills

Core JavaAmazon Web Services (AWS)REST APIsSpring Data JPAHibernateRabbitMQAWS SQSAWS S3OpenAI APIWebexAutomationScriptingJira APIPrometheusGrafana

About

Software engineer who enjoys learning a little too much for this to ever be “DONE.” I’ve grown across environments like Cisco and Accurate, collecting battle scars, better judgment and a strong appreciation for well built systems and calm problem-solving. I speak three languages fluently — Java, Python, and Go and I enjoy improving existing systems more than rewriting them (most days). Curious by default, grounded by experience, and always up for a good engineering challenge.

Experience

3 yrs
Total Experience
1 yr 2 mos
Average Tenure
8 mos
Current Experience

Digitalocean

Software Engineer II

Oct 2025Present · 8 mos · Hyderabad · Hybrid

Accurate background

2 roles

Software Engineer 1

Promoted

Jul 2025Oct 2025 · 3 mos · Hybrid

  • Backend Engineer with hands on experience designing and building scalable, secure and high performance backend systems using Java, J2EE and Spring Boot. Played a key role in a major dynamic configuration migration project, where I designed and implemented multiple RESTful APIs (POST, GET, PUT, CRUD) and closely collaborated with frontend teams to integrate these APIs with Angular services. Modernised legacy systems by migrating Hibernate DAO-based implementations to Spring Data JPA repositories, significantly improving data access efficiency and maintainability. Implemented asynchronous messaging architectures using RabbitMQ and AWS SQS, including publishers, listeners, queue and dequeue mechanisms, to enhance inter service reliability and performance. Contributed to enhancements in existing Twilio and SendGrid integrations, supporting additional SMS and email notification features via Webhook based communication. Assisted in improving AWS S3–based document storage and retrieval functionality with an emphasis on security and performance. Authored comprehensive JUnit test cases, consistently maintaining SonarQube code coverage above 85%. Collaborated with cross-functional teams and contributed to the development and stability of a large scale ecosystem managing 40+ Microservices. Worked closely with product owners to clarify requirements and deliver a scalable, user friendly background verification platform.
Core JavaAmazon Web Services (AWS)JavaAWS

Associate Software Engineer

Jun 2024Oct 2025 · 1 yr 4 mos · Hybrid

Cisco

Software Engineer

Feb 2023Feb 2024 · 1 yr · Banglore · On-site

  • I've been at the forefront of digital transformation, leveraging cutting-edge technologies to create innovative automation solutions. I've developed three specialized bots, each tailored to address critical aspects of our workflow.
  • The Webex GPT bot, powered by OpenAI's API, seamlessly interacts with users on the Webex platform, offering real-time responses to their queries. This solution enhances communication efficiency and knowledge sharing within the organization.
  • My Webex automation bot plays a pivotal role in the release process. By securely connecting to remote servers and executing scripts, it streamlines release management through intelligent automation, reducing manual effort and minimizing errors.
  • Additionally, I've engineered a Jira-integrated bot that fetches crash data and updates Jira tickets using Jira Query Language. This integration with Jira's API and Cisco's internal resources ensures rapid issue resolution and seamless collaboration across teams.
  • Currently, I'm furthering my impact at Cisco by crafting a monitoring tool. This tool utilizes Prometheus and Grafana to keep a watchful eye on diverse nodes, effectively tracking resource utilization in real-time. It not only auto-generates Grafana dashboards in Confluence for enhanced visibility but also employs Webex alerts to proactively notify users of potential resource overloads.
Core JavaSpring BootJava

Bharat sanchar nigam limited

Network Engineer Trainee

Aug 2022Dec 2022 · 4 mos · Visakhapatnam, Andhra Pradesh, India · On-site

IPv6Routing

Education

MVGR College of Engineering

Bachelor of Technology - BTech — Electronics and Communications Engineering

Jan 2018Jan 2022

Ascent Classes

Intermediate — MPC

Oct 2016Oct 2018

Sri Prakash Vidyaniketan

10th

Oct 2015Oct 2016

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