Job Summary

We are seeking a Senior Full Stack Engineer to design, build, and maintain the backend infrastructure and frontend applications powering a real-time AI platform deployed across a large-scale contact center environment. You will develop scalable APIs, cloud-native services, and modern web/mobile applications while ensuring high availability, security, and performance for platforms supporting up to 20,000 concurrent users. This role requires close collaboration with AI/ML engineers, platform teams, and product stakeholders to deliver enterprise-grade AI solutions.

Key Responsibilities

Design, develop, and maintain scalable backend services using Java, Node.js, or .NET.
Build modern frontend applications using Vue.js 3 and/or React Native.
Develop and maintain RESTful APIs and microservices for AI-powered applications.
Build cloud-native solutions with Docker, Kubernetes, and modern CI/CD pipelines.
Optimize platform performance, scalability, security, and reliability for high-volume enterprise workloads.
Collaborate with AI/ML engineers to integrate LLMs, AI services, and AI coding copilots into production applications.
Participate in architecture discussions, code reviews, and technical mentoring.
Implement monitoring, logging, and automated testing to ensure production stability.
Work closely with cross-functional teams to deliver high-quality software using Agile methodologies.

Required Qualifications

8+ years of software engineering experience.
Strong backend development experience with Java, Node.js, or .NET Core.
Hands-on experience with Vue.js 3 and/or React Native.
Experience building REST APIs, microservices, and distributed systems.
Strong knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform).
Experience with Docker, Kubernetes, and container orchestration.
Hands-on experience building CI/CD pipelines using GitHub Actions, Azure DevOps, Jenkins, or GitLab CI.
Experience with SQL and NoSQL databases.
Strong understanding of security, authentication, scalability, and performance optimization.
Excellent problem-solving and communication skills.

Preferred Qualifications

Experience integrating AI Coding Copilots, Generative AI, or LLM-based applications.
Experience with Adobe Experience Platform (AEP), Adobe Journey Optimizer (AJO), Adobe Experience Cloud, or other Adobe products.
Experience with event-driven architectures, Kafka, or message queues.
Familiarity with monitoring tools such as Prometheus, Grafana, Datadog, or Splunk.
Experience leading technical initiatives, mentoring engineers, and conducting code reviews.

Technical Skills

Backend: Java, Node.js, .NET Core, REST APIs, Microservices
Frontend: Vue.js 3, React Native, JavaScript, TypeScript
Cloud: AWS, Azure, or Google Cloud Platform
Containers: Docker, Kubernetes
CI/CD: GitHub Actions, Azure DevOps, Jenkins, GitLab CI
Databases: PostgreSQL, SQL Server, MongoDB, Redis
AI: AI Coding Copilot, LLM integrations, Generative AI (preferred)
Adobe: AEP, AJO, Adobe Experience Cloud (preferred)
Tools: Git, Agile/Scrum, Terraform (preferred)

Nice to Have

Contact center platform experience.
High-scale distributed systems supporting thousands of concurrent users.
Experience building enterprise AI applications in production.

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