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CareerNet Technologies Pvt Ltd Logo
Senior Software Engineer Enterprise Application Integration

CareerNet Technologies Pvt Ltd

 

Hyderabad, Telangana, India

Posted On: 30+ days ago
Experience: 6+ years
Availability: Onsite
Openings: 1
Category: Enterprise Application Integration
Tenure: No Preference/Any
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Description

Key Skills: Node.js, TypeScript, Kafka, Google Cloud Platform, REST APIs, Microservices, Docker, Git, GitLab CI/CD, Terraform

Good to Have Skills: Experience with Confluent Kafka, Solo Enterprise Gateway, ArgoCD, Firestore, Cloud Tasks, Cloud Functions, Pub/Sub, Cloud Run, prompt engineering, LLM APIs, Vertex AI, OpenAI APIs, LangChain, RAG, AI agents, GitHub Copilot, ChatGPT, Gemini, Cursor, relational and NoSQL databases, secure software development, API management.

Roles & Responsibilities:

  • Design, develop, and maintain enterprise integration services, REST APIs, and event-driven microservices using Node.js and TypeScript.
  • Build scalable, secure, and high-performance solutions utilizing Kafka, Solo Enterprise Gateway, and Google Cloud Platform.
  • Develop reusable components following enterprise architecture, coding standards, and security best practices.
  • Lead production support and release deployments for enterprise integration applications, services, and APIs.
  • Drive incident resolution, root cause analysis, and long-term reliability improvements.
  • Perform code reviews, write automated tests, troubleshoot production issues, and mentor junior engineers.
  • Participate in architecture discussions and Agile ceremonies.
  • Use AI-assisted development tools to improve coding, testing, documentation, and debugging.
  • Evaluate and integrate AI capabilities into enterprise applications where appropriate.
  • Leverage LLM APIs, prompt engineering, and AI services to improve business processes and developer productivity.
  • Collaborate with architects, product owners, QA, and support teams to deliver reliable, high-quality solutions.
  • Contribute to continuous improvement, engineering standards, and technical documentation, and operational best practices.
  • Stay current with emerging AI technologies and recommend practical adoption opportunities.

Experience Required: 6+ years building enterprise APIs, microservices, integration platforms, and cloud-native applications with production support experience.

Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or related field (or equivalent experience)

Education

Any Graduate

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