Job Summary:

We are seeking an experienced Senior Software Engineer to design, develop, deploy, and support enterprise integration solutions on Google Cloud Platform (GCP). This hands-on role focuses on building scalable APIs, event-driven microservices, and cloud-native applications while leveraging AI-powered development tools to improve engineering productivity and solution quality.

Key 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 (Gemini, ChatGPT, Cursor, or similar) 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.

Required Qualifications:

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

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

Technical Skills:

- Strong proficiency in Node.js and TypeScript.

- Experience with Kafka (Confluent preferred) and GCP (Cloud Run, Pub/Sub, Cloud Functions, Firestore, Cloud Tasks).

- Experience with API Gateways (Gloo/Solo Enterprise preferred).

- Knowledge of REST APIs, event-driven architecture, microservices, Docker, Git, GitLab CI/CD, Terraform, ArgoCD, relational and NoSQL databases.

- Understanding of secure software development and API management.

- Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Gemini, Cursor, or similar.

- Familiarity with prompt engineering and integrating LLM APIs.

- Knowledge of Vertex AI, OpenAI APIs, LangChain, RAG, or AI agents is a plus.

Skills & Competencies:

- Strong analytical and problem-solving skills.

- Excellent communication and collaboration abilities.

- Ownership mindset with passion for innovation, AI adoption, and continuous learning.