We are looking for a highly skilled Senior Software Engineer with strong expertise in Node.js, JavaScript, TypeScript, RESTful APIs, and GenAI/LLM integrations to work on enterprise-scale Technology Platforms & Integration initiatives.
The ideal candidate should have strong hands-on experience developing scalable and highly available backend services, working with distributed systems, integrating AI capabilities through APIs/SDKs, and building secure, performant, and maintainable applications.
The role requires a strong understanding of modern JavaScript/ECMAScript, asynchronous and non-blocking programming, API architecture, cloud-native technologies, CI/CD, containerization, security, and enterprise application infrastructure.
Requirements
Key Responsibilities
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Design, develop, and maintain scalable, highly available RESTful APIs using Node.js.
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Develop robust backend services using JavaScript, TypeScript, and modern ECMAScript standards.
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Implement asynchronous and non-blocking programming patterns using Promises, async/await, and event-driven architectures.
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Design and integrate LLM/GenAI-based solutions using APIs and SDKs.
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Engineer, fine-tune, and optimize prompts for large language model (LLM) applications.
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Integrate AI capabilities into enterprise applications using appropriate APIs and SDKs.
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Work with Azure AI services, including:
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Azure Speech
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Azure Language
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Azure OpenAI
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PII Detection
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Design and implement real-time communication capabilities using WebSockets.
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Develop and maintain database integrations using appropriate ORMs and ODMs, including technologies such as Sequelize, TypeORM, and Mongoose.
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Build and maintain secure APIs and services within a regulated enterprise environment.
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Apply API and data security best practices, including understanding of firewall and network security concepts.
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Develop efficient, non-blocking code and apply advanced techniques such as multi-threading where required.
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Troubleshoot and resolve issues across distributed services ecosystems.
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Participate in CI/CD implementation, deployment, troubleshooting, and release activities.
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Work with Docker and Kubernetes for containerization and deployment.
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Understand and work across different layers of enterprise applications, including:
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Platform layer
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Database layer
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API layer
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Caching layer
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Proxy layer
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Web services
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Participate in code reviews and contribute to engineering standards and best practices.
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Document code inline using JSDoc or other accepted documentation conventions.
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Develop automation test scripts where required.
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Collaborate with cross-functional engineering and technology teams to deliver reliable and scalable solutions.
Required Technical SkillsNode.js & Backend Engineering
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Strong expertise in Node.js.
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Proven experience developing scalable and highly available RESTful APIs.
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Strong understanding of asynchronous programming.
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Hands-on experience with:
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Promises
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async/await
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Event-driven architecture
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Non-blocking programming
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Understanding and practical application of advanced programming techniques, including multi-threading where required.
JavaScript & TypeScript
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Strong proficiency in JavaScript.
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Strong understanding of the JavaScript object model.
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Knowledge of DOM manipulation.
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Strong understanding of the latest ECMAScript standards.
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Strong proficiency in TypeScript.
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Experience documenting code using JSDoc or equivalent conventions.
API & Integration
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Strong understanding of RESTful API design and development.
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Experience securing APIs and enterprise data.
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Experience integrating services through APIs and SDKs.
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Understanding of API architecture within distributed enterprise environments.
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Hands-on experience with WebSockets for real-time communication.
GenAI / LLM
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Practical experience with Generative AI / LLM-based solutions.
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Knowledge of designing, engineering, and fine-tuning prompts for LLM applications.
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Experience integrating LLM capabilities through APIs or SDKs.
Azure AI
Working knowledge of Azure AI services, including:
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Azure Speech
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Azure Language
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Azure OpenAI
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PII Detection
Database & Data Access
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Experience with ORMs and ODMs for database interaction.
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Familiarity with:
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Sequelize
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TypeORM
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Mongoose
DevOps & Cloud-Native Technologies
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Strong understanding of CI/CD principles.
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Experience working with CI/CD tools and remote deployment processes.
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Hands-on experience with Docker.
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Hands-on experience with Kubernetes.
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Experience troubleshooting distributed services and deployment environments.
Security & Enterprise Architecture
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Familiarity with firewall and network security concepts.
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Understanding of best practices for securing APIs and data in regulated environments.
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Strong understanding of the responsibilities and interactions between:
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Platforms
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Databases
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APIs
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Caching layers
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Proxies
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Web services
Testing
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Ability to create automation test scripts is preferred.
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Strong understanding of software quality and engineering best practices.
Required Competencies
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Strong problem-solving and troubleshooting skills.
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Ability to work effectively with distributed and cross-functional technology teams.
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Strong understanding of scalable and highly available application architecture.
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Ability to work with complex enterprise technology environments.
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Strong ownership of technical delivery and production stability.
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Ability to understand and troubleshoot issues across multiple layers of a distributed services ecosystem.
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Strong communication and technical documentation skills.
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Ability to learn and adopt modern technologies, particularly in GenAI and cloud-native engineering.
Preferred Experience
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Experience working on enterprise-scale technology platforms and integration solutions.
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Experience in regulated or security-sensitive technology environments.
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Experience with AI/GenAI integrations within enterprise applications.
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Experience building highly available and distributed backend services.
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Exposure to automation testing and automated engineering workflows.
